Ultrasonic Flow Metering w ith Highly Accurate Jitter and Offset Com pensation vor gelegt v on Dipl. - Ing . Assia Hamouda geb. in Batna, Algerien von der Fakultät IV - Elektrotechnik un d In formatik – der T echnischen Unive rsität Berlin zur Erlangung des a kad emischen Grades Doktor der Ingenieu r wissenschaf ten - Dr .- Ing. - genehmigte Dissert atio n Promotionsaussch uss V orsitzender: Prof. Dr .- Ing. Friedel G erfers 1. Gutachter : Prof. Dr . rer . nat. Otto Manck 2. Gutachter : Prof. Dr .- Ing. Roland T hewes 3. Gutachter : Prof. Dr .- Ing. Nour -Ed dine Bouguechal T ag der wissens chaftlichen Aussprache: 12. M ai 2016 Berlin 2017 Acknowledge ments First and foremost, all thanks and praises are to God the Almight y for his blessing which made this work possible and allowed for it to be completed. I would like to ex press my deepest and most sincere gratitude to my sup ervisor Prof. Dr . rer . nat. Otto Manck f or his unconditional su pport, valuable and conti nuous advice, guidance and assistance throug hout my Ph.D. program, and his ver y active part in initiating this work. I am especiall y thankful for his help with review ing and his constructive comments and continuous support during the preparation of this thesis. W it hout his strong support and endless patience I would have never b een able to complete this research work. I would like to thank Pr of. Nour -Eddine Bouguechal at the Universit y of Batna, Algeria, for his kind support, helpful sugge stions, and encouragement. I would like to thank P rof. Roland Thewes, Head of the Institute of S ensor and A ctuator Systems at TU -Berlin for reviewing my Ph.D . work. He has of fered man y helpful suggestions and remar ks. I am indebted to Mr . Helmut Manck, the Senior Manager of eonas GmbH , for funding this research a nd his commitment to support the development of this project. I would like to acknowl edge Dr . R uediger Arnol d, Boris Joesaar , Dr . Mohamed La mine Hafiane and Redouane Djeghader with whom I had interesting conversations. I also wish to thank Hadjer , Khadra, Souad, and L atifa for their great f riendship and for helping me w ith va rious mathematical issues. I would like to give spe cial thanks to Dr . P eter Grametba u er an d Dr . Sa bine Se yde l for proofreading my thesis and helpful suggests and comments. I would like to give my special thanks to my famil y , my lovel y mother , my father , my brother , my sisters, my mother in law , my broth ers in law , and sis ters in law . My warmest thanks go to my dearest husband for his encouragement and patient love that inspi red me to complete this work and also to my little angel Zinedine. Kurzfassung Diese Dissertation schlägt eine neue Methode zur Messung des W asserdurchflusses mit einem Durchlaufzeit-Ultraschall-Durchflussmessgerät vor . Die entwickelte Methode ermög licht einem Ultrascha ll -Durchflussmesser eine genauere Erfassung von sehr niedrigen Durchflussraten. Flüsse von weni ger al s zwei Liter p ro Stunde (2 l/ h) in einem typische Haushaltswasserzähler sind möglich. Der Fluss einer gegebenen Flüssig keit in einem Rohr wird durch die Laufzeitdif ferenzmessung von Ultraschalls ignalen mit und gegen den Fluss ermi ttelt . Je ge rin ger der Durchfluss ist, desto kleiner ist die La u fzeitdif ferenz. Die Dif ferenz liegt bei niedrigen Du rchflussraten im Bere ich von wenigen Pikosekunden. Die vor geschlagene Methode erlaubt das Messen der Dif ferenz im Bereich von weni gen Pi kosekunden und überwi ndet technische S chwierigkeiten anderer Messmethoden. Die piezoelektrischen W andler sind die kritischen Komponent en des Ultras chall- Durchflussmessers. Sie können die Genauigkeit der Ultraschall-Durchflussmesser erheblich be einträchtigen. Die W ahl einer geeigneten anal y tischen F unktion für die Besc h reibung d es V erha l tens des piezoelektrischen W andler s (T ransducers) ist notwendi g zur Ermittelung eines geeigneten Durchflussmessverfahrens, welches in der Lage ist, ge n aue und robuste Me sser gebnisse zu liefern. Im Ersatz schaltbild wird ein T ransducer durch einen Oszillator mit parallel geschalteter Kapazität dar gestellt. Die einfachste analy tisch e Lösung der entsprechenden Differentialg leichung erg ibt sich, wenn der T ransducer mit einer Sinusfunktion angereg t wird. Im erste n Mo ment reagiert der T ransducer mit einer Schwingung bei seiner eigenen Reson a nzfrequenz, die aber nach einiger Zeit abklin gt. Danach sch wingt d er T ransducer nu r noch mit de r aufgezwungenen Frequenz. W artet man al so lange genug, dann wi rd der transiente T eil abkli ngen und man wird den stationären Zustand erreichen, wo der T ransducer nur noch mi t der Zwangsfrequenz schwingt. Das vorgeschlagene V erfahren beruht da r auf, di e Dif ferenz de r Laufzeiten indirekt zu messen, indem die Phasendif ferenz z wischen den stationäre n T eilen der empfangenen Signale in der stromauf wärtigen und d er strom a bwärtigen Richtun g berechnet wird und indem eine Sinus-Fitting-T echnik mit kleinstem qu adratischen Fehler verwendet wird. Dies verringert den Effe kt des Jitters in der Laufzeit. Der Jitter begrenzt die Messgenauigkeit bei sehr geringer Strömung s geschwindigkeit. Der letzte T eil der A rbeit untersucht das Of fset -V erhalten. Der Offse t ist die Abweichung der Dif ferenz der La u fzeiten von Null bei nicht -fließende m W asser . Er ist u. a. temperaturabhängig. Au ch einige Parameter der T ransducer sind temperaturabhängig, in erster Linie die Resonanz frequenz selbst. Bei einer Erwärmun g von 20°C auf 80°C verändert sich der Offset entsprechend und z.B. erreicht W erte um 300 ps, wenn er vorher bei 20°C auf „ Null“ abgeg lichen wurde. Di e Me ssanordnung e rlaubt eine neue, bisher in der L it eratur nicht b ekannte Art des Offset-Abgleichs durch Anpassung d er Zwangsfrequenzen bezogen auf die T empe ratur des Mediums. Die La n gzeitstabilität der zur Einst ellung der Of fsetdrift verwendeten Zwa n gsfrequenz wurde b ei verschiedenen T emperaturen experimentell nachgewiesen. Die erhaltenen Messerg ebnisse verdeutlichen die Genauigkeit un d Robust heit des vorg eschlagenen V erfahrens: die Dif ferenz der Laufzeiten zeigt im T empe raturbereich von 20°C bis 80°C bei nicht-fließendem W asser einem P eak- to -Pea k-J itter von nur 15 ps und einen Offse t von w eniger als 5 ps. Dadurch k ann man im V erg lei ch z u früheren T echniken kleinere Durchf lüsse mes sen. Diese Arb eit liefe rt Ans ätze für mögliche zukünftige Ultraschall-Durchflussmesser mit hoher Genauigkeit. Um die Ansätze kommerziell gut in zukünftigen Durc hflussmessern nutzen können, bedarf es einer Integ ration der Messtechnik in einem integrierten Schaltkreis. Abstract This thesis proposes a new method for measuring water flow with a transit time ult rasonic flow meter device. The developed method allows the ultrasonic flow meter to re ach a better performance than currentl y available commercial flow meters by accuratel y detecting ver y low flow rates of less than two liters per hour (2 l/ h) in a t ypical household water meter . In principle, the flow velocit y of a given liquid is obtaine d by measuring the transit times of an ultrasonic signal in the upstream and downstream direc tions . The dif ference betw een the transit ti mes is directly pr oportional to the flow velocity . However , the fainter the flow is, th e smaller the transit time dif ference (TT D) is. Thi s dif ference c an be as low as a few picoseconds, which gives rise to many technical dif ficulties in measuring such a small ti me diffe rence with a given accurac y . The piezoelectric transducers are critical compo nents in ultrasonic fl ow meters since the y can signifi cantly af fect th e accuracy of the ultrasonic flow meters. Choosing an app ropriate analy ti c fun ction that describes the b ehavior of the basic p art of a pi ezoelectric tr ansducer proved to be essential for defining a suitable flow mea surement method that y ield s accurate and robust measurement results. The elec trical equivalent circuit of a transducer is repre s ented by an oscill ator connected to a parallel capacitance. The si mplest analytical solution of the corre spo nding dif f erential equation is obtained when th e tra nsducer is excited by a sinus function. First, the transducer oscillates at its own reso nant frequency , and its oscill ations die awa y after som e ti me. If we wait long enou gh, th e transient p art dies out and wha t is le ft is the steady- st ate part, where the tra nsduc er oscill ates at the force d frequency . Th e proposed method relies on measuring the TT D indirectly by computing the phase dif ference between the steady - state parts of the receiv ed signals in the upstream and downstream directions and by usin g th e least squar es sine-fit ting technique. This reduces the ef fect of the TTD -jitter of the measurement, which limits the measurement acc u racy at ver y low flow velocit y . The last part of the wor k a ddresses the issue of the TTD -offset, which refers to an y deviation of the TTD from z ero at no-flow conditions. The behavior of the TTD -o f fset is investigated over a t e mperature range. Some parameters of the transducer , such as resonance fre qu ency , a re temperature-dependent. When the temperature of the medium around the transducers incre ases by 80°C from ambient temperature, the TTD -of fs et (adjusted to z ero at ambient temperature) changes accordingly and reaches approximately 300 ps. The novel proposed approac h allows the c ompensation of the TTD -offse t by adjusting the forced frequenc y with respect to the temperature of the me dium. The long- term stabilit y of the driving frequenc y used to adjust the TTD -o f fset drift ha s been experimentally p roved at dif ferent temperatures. The obtain ed measurement results illustrate the acc u racy and robustness of the proposed method since the TTD is mea sured at no-flow conditions, with a peak- to -peak TTD-jitter as low as 15 ps and the TTD -of fset less than 5 ps with in a temperature range from ambient t em perature to 80°C. This allows to reac h a smaller minim um detectable flow in comparison to previousl y developed techniques. This work of fers some s uggestions to design an ultrasonic flow meter with high accuracy in the future. However , the commercial aspe ct of the futu re flow meter requires an integration of the proposed measurement technique in an integrated circuit. Abbr e viations and Symbols Abbr eviation s ADC Analog- to -Digital Converter CSV Comma-separated values LSSF Least Square s S ine-Fitting OP AMP Operationa l Ampli fier SNR Signal- to -Noise Ratio STD Standard Deviation TR T ransducer TTD -offset T ransit T ime Dif ference-of fset TTD -jitter T ransit T ime Dif ference-jitter Symbols A Pipe cross section [m 2 ] c Speed of sound [m s -1 ] C Spring compliance [m N - 1 ] C s Serial capacitance [F] C p Parallel capacitance [F] d V iscous damping coef ficient [N s m -1 ] D Pipe inner diameter [m] DR ADC d y namic ran ge [dB] fp Parallel fre qu enc y [Hz ] fs Serial fre qu enc y [ Hz] fr Resonance frequency [Hz] fdr Driving frequency [Hz] f f For ced fr equency [Hz] F 0 Applied force [N] I Current [A] k Stif fness coef ficient [N m -1 ] K W ater compressibility [m 2 N -1 ] L T ransducer separation [ m] L s Serial inductance [H] m Mass [Kg] N Sample size N bit ADC re solution [bits] Q Flow rate [m 3 s -1 ] q Char ge [ C] qh(t) Homoge n eous solution [ C] qp(t) Particular solution [ C] R s Serial resistance [ Ω] R Pipe Radius [ m] t up Upstream traveling time (against the flow) [ s] t down Downstream traveling ti me (with the flow) [ s] T Disk thickness [ m] TTD T ransit time dif ference [ s] T emp T emperature [°C] v Flow velocity [m s -1 ] v min Minimum flow velocity [m s -1 ] V V oltage [ V] V FRS Full scale voltage range [ V] V LSB Least significant bit [ V] VRD1 First direc tion r eceiver voltage [ V] VRD2 Second direction receiver voltage [ V] VTD1 First direc tion transmitt er voltage [ V] VTD2 Second direc tion transmi tter voltage [ V] x Displacement [ m] W ater density [Kg m -3 ] up Upstream phase [rad] down Downstream phase [rad] Standard deviation of the transit time diffe rence [ s] Standard deviation error of the transit time dif ference [ s] Damping coef ficient ω f Angular forced fre que ncy [rad s -1 ] ω r Angular re son ance frequenc y [ rad s -1 ] Content Chapter 1: Intr oduction .................................................................................................. 1 1.1. Motivation ......................................................................................................... 1 1.2. State of the Art .................................................................................................. 2 1.3. Main W ork Objective ........................................................................................ 3 1.4. Thesis Outline ................................................................................................ ... 3 Chapter 2: The Principles of Ultrasonic Flow Meter ................................................... 5 2.1. Introduction ....................................................................................................... 5 2.2. Doppler Flow Meter .......................................................................................... 5 2.3. T ransit T ime Flow Meter ................................................................................... 6 2.3.1. T ransit T ime Flow Meter Configuration ................................................... 6 2.3.2. The Principle of T ransit T ime Flow Meter ................................................ 8 Chapter 3: Ultrasonic Piezoelectric T ransd ucer Theory and Modeling ................... 10 3.1. I ntrodu ction ..................................................................................................... 10 3.2. Piezoelectric Ef fect ......................................................................................... 10 3.3. Ultrasonic Piezoelectric T ransducer ................................................................ 11 3.3.1. Piezoelectric Disk .................................................................................... 12 3.3.2. Piezoelectric Backing a nd M atching Layer............................................. 13 3.4. Piezoelectric T ransd ucer Mode lin g ................................................................. 13 3.5. Butterworth-V an D yke Mode l ................................ ......................................... 18 3.6. T ransmitted and Rec eived Signa ls Modelin g .................................................. 24 3.6.1. T ransmitter ............................................................................................... 26 3.6.2. Receiver ................................................................................................... 27 3.7. Quiet Reg ion Aspect ....................................................................................... 29 3.8. Characteristic Frequencies of Piezoelectric T ransducer ................................. 32 Chapter 4: Determination of the T ransit T im e Differ ence (TTD) ............................ 33 4.1. I ntrodu ction ..................................................................................................... 33 4.2. Experimental Setup for Measuring the TTD ................................................... 34 4.3. Methodology for the Calculation of TTD ...................................................... 36 4.4. Least Squares Sine-Fitting ............................................................................. 37 4.5. Estimation of the Quiet Reg ion ...................................................................... 38 4.6. Algorithm for Computing the TTD ................................................................. 40 Chapter 5: TTD -jitter Reduction ................................ ................................................. 42 5.1. I ntrodu ction .................................................................................................... 42 5.2. The Ef fect of the Sa mpling Jitter on TTD ....................................................... 43 5.3. Sources of TTD-jitter ...................................................................................... 44 5.4. TTD -jitter Reduction T echnique ................................ ..................................... 45 Chapter 6: TTD -Offset Cancellation ........................................................................... 50 6.1. I ntrodu ction ..................................................................................................... 50 6.2. Sources of TTD-offset ..................................................................................... 50 6.3. The Impacts of T em perature on the T ra nsdu cer Resonance Frequencies ....... 51 6.4. Zero F low TTD-offset Correc tion ................................................................... 53 6.5. T emperature Dependence of the TTD -of fset Calibration ................................ 57 Ch apter 7: Results and Anal yses .................................................................................. 60 7.1. I ntrodu ction ..................................................................................................... 60 7.2. Hardware Design ............................................................................................. 61 7.3. Software Al gorithm ......................................................................................... 62 7.3.1. T ransmission of th e Sinusoidal Burst ...................................................... 63 7.3.2. Digitizing of the T wo Direction Signals ................................ .................. 63 7.3.3. TTD -of fset Cancellation Algorithm ......................................................... 64 7.4. TTD -offse t Compen sation Evaluation ............................................................ 66 7.5. The Ef fect of T emperature on TTD-of fset Measurements .............................. 68 7.6. Discussion ................................................................................................ ....... 70 Chapter 8: Conclusion .................................................................................................. 72 Chapter 1 Intr oduction 1.1. Motivati on Flow measurement is often critical in the household sector of the domestic economy [1] . Therefore, in order to make a profit rather than run at a loss , it is imperative to accurately measure what flows through the measuring pipe under all circumstances. Ultrasonic flow meters have been used successfull y in industrial applications for several decades [2 -3]. They have gained approbation in wide metering applications such as dirt y or clean water , petrochemical products, natural gas, and so on. This is due to the significant operational and economic advantages that the ultrasonic flow meters offer in contrast to conventional meters. From the economic point of view , the y a re eas y to install, inexpensive, and re quire less maintenance than other me ters such as mec hanical flow meters, which need to be checked periodicall y [ 2] . In terms of operation, ultrasonic flow meters can be highl y sensitive and accurate, and they t ypica ll y have a broader flow rate range, good measure men t repeatability , and bi -directional flow capability . As an y othe r measurement technology , ult rasonic flow meters have their measu ring limitations, which are mostl y caus ed by changes in the temperature of the medium and severa l other factors, suc h as water viscosit y and compressibility [4 -7]. If there is no flow in the measuring pipe ( i. e., sti ll water in the pipe ), the upstream and downstream transit times of such meters are equal and the dif ference between the two transit times should be neg li gible. However , this ma y not alwa ys be the case since the transit time dif ference (TTD) can be influenced by jitter and of fset. Therefore, an y dela y o ff set between th e upstream and downstrea m transit times directl y t ranslates into a zero fl ow error . This zero fl ow TT D-o ff set limits measurement accurac y at low flow velocities. The lower this error , the higher the accuracy of the flow meter . Chapter 1: Intr oduction 2 1.2. State of the Art Following [ 7], the accuracy of the ultrasonic flo w meter at no-flow conditions - for water or gas applications - depends essentiall y on the reciprocit y of the electro-acoustic measurement s y stem. This reciprocit y can be ach ieved by perfect tr ansducer s y mmetr y or perfect electrical s y mmet ry in th e ultrasonic flow meter s y stem. This means that either the impedances of the electric loads for both transmitting and receiving trans ducers are equal or both transducers are i dentical. The electro-aco ustical reciprocity princi ple as referenced by P er Lunde ’ s paper [8 -16] provides possibilities for reducing or even neglecting the need for the zero flow calibration of ultrasonic flow meters for both liquid and gas applications. In 2010, Borg J ohan presented in his Ph .D. t hesis "On electronics for measurement systems" [17-18] a new methodolog y bas ed on driving the transducer with a current source rather than a voltage source in order to ac hie ve good im pedance matching between transmitting and rece ivi ng circuits. This method achieved a significant improvement in reducing the zero flow error compared to Lunde ’ s work. What followed was the s tate-of-the-art publi cation of Y ang Bo in March 201 1 [19] , when he presented a new approach to improve the acc urac y and the stabili t y of ultra sonic transducer flow metering ov er a wide temperature r ange under non-reciprocal operation conditions. This approach is based on driving b oth transduc ers at a spe cific frequenc y outside their resonance frequencies throu gh a sinu s burst in order to eliminate the effect of temperature dependence of the resonance fr equency and therefore redu ce the long-term drift of the transit time diffe rence me asurements, which is caused by temper ature variations. The dr awbacks of this method are, on the one hand, the reduced signal- to -noise ratio (SNR) caused by w orking outside th e resonance frequency of the tr ansducer and, on the other hand, the fact that the excitation voltage level must be high even in the presence of an amplifier . This results in a hig h powe r consumption of the whole measurement system which p resents a big disadvantage in batter y applications. Ne vertheless, this approac h achieved improved results compared with the two pr eviously mentioned methods. Chapter 1: Intr oduction 3 1.3. Main W ork Objectives The main objec tive of this work is to develop a new methodolog y , which combines hardware with appropriate digital evaluation soft ware al gorithms and whi ch can o vercome the ef fect of the TTD -jitter noise and the TTD -of fset drift. This methodology reduces the false flow detection and improves the accurac y of the ultr asonic flow m eter at low and no-flow conditions. The first part of this re search work focuses on the analy t ical modeling or the mathematical pr esentation of the piezoelectric transducer , which is based on the driven damped harmonic oscillator s y stem. This model provides a better understanding of the behavior of th e piezoelectric tr ansducer and pr ovides the necessar y con cepts that allo w to measure the TTD very accurately . The main contribution of this wor k is summarized b y the two main steps that were undertaken to minimiz e the ef fect of zero flow error and TTD -jitter on the measurement results: Develop a software algorithm on the basis of the proposed approach, which woul d be capable to ef fectively reduce th e TTD -jitter . Develop another softwar e algorithm on the basis of the proposed approach, which would be capable to continuously correc t the zero flow TTD-of fset. 1.4. Thesis Ou tline A significant amount of the current research focuses on ult rasonic flow meters, especiall y in the field of me asuring of flow r ate in th e transmissi on of gas through p ipelines, in order to develop more accurate measurement methodol ogies. W e will elaborate and refer to the appropriate theoretical back ground when describing our ex periments. This dissertation is org anized as follows: 1. Chapter 1 outlines the motivation behind this work and positions our work amongst the re cent r esearch ef forts in ult rasonic flow meter me asurement methodologies curre ntl y available. 2. Chapter 2 describes the available ultrasonic flow meters used for measuri ng th e flow rate of a flowing fluid. Chapter 1: Intr oduction 4 3. Chapter 3 presents the theoretical background of a piezoelectric transducer . W e address the relevant theo ries to derive an anal y tic model of the tr ansducer that can describe its beha vio r in both cases, transmitter a nd receiver . 4. T aking into ac count the analytic transducer model and all the a spects derived through the mathematical repre sentation of the tr ansducer presented in Chapter 3, Chapter 4 presents the anal y sis and evaluation of our proposed method can be used to calculate the transit time differe nce. It also presents a detailed description of e ach of the measurement setup system’ s bl ocks. 5. Chapter 5 describe s the applie d TTD-jitter analysis and methodology used to understand the causes of TTD-jitter . The proposed TTD -jitter reduction technique is also described. 6. The z ero flow TTD -of fset correction te chnique i s the main subject o f C hapter 6, starting with a stud y o f the TTD -of fset sources and ending with the proposed approac h to mit igate this TTD -of fset. 7. In Chapter 7, the experimental results are p resented and analyzed. 8. Finally , conclusions are drawn in Chapter 8. Chapter 2 The Principles of Ultrasonic Flow Meter 2.1. Intr o duction Most ultrasonic flow meters use one of the two main principles: Doppler ef fect or T ra nsit T ime Differe n ce. When a fluid is in mot ion with a certain velocit y , the flow meter measures the flow of t his fluid either by calculating the dif f erence between the two traveling times of an ult rasonic si gnal propagating with and a gainst the flow direction or by measuring the frequency shift using the Doppler principle. 2.2. Dopple r F low Meter This t ype of flow meter is based on the Doppl er principle discovered in 1842. T y pi cally , one transducer is fitted in the pipe wall as shown in Figure 2.1. It continuousl y transmits an ultrasonic signal at a constant frequency f 1 into the flowing fluid. Th e particles insi de the fluid refle ct the transmitt ed signa l, and their movement shifts the frequency of the ultrasonic signal to a frequency f 2 . The frequenc y shift is proportional to the speed v of the particles and hence to the flow . It is given by the f ollowing equation [20-22] : (2.1) where ∆ f is the frequenc y shift (the dif ference between transmitted and rece iv ed freque n cies), θ is the an gle of the transmitter and receiver crystal ax is with respect to th e pipe axis, c is the sound v elocity , and v is the flow velocity . Chapter 2: The Prin ciples of Ultrasonic Flow Met er 6 Fig. 2.1: Doppler flow meter Due to man y drawbacks and limi tations of ultrasonic Doppler flow metering, thi s method is now used onl y in a few specific applications such as for waste water t hat contains dirt particles o r gas bubbles. It has be en replaced b y the tran sit time ult rasonic flow meterin g because in addition to flow rate measurement thi s method can also provid e information on the type o f liquid and the working temp erature on the basis of sound veloci t y measurement [20]. 2.3. T r ansit T ime Flo w Meter 2.3.1. T ransit T ime Flow Meter Configuration The ultrasonic transit time flow meter consists of one pair of transducers facing each other , which are s eparated by a known distanc e. Th e transducers are mounted according to dif ferent geometries dep ending on the application. For instance, the in -li ne configurations shown in F igures 2.2 and 2.3, as we ll as the configuration with reflectors shown in Fig u re 2.4, are most often used in applications where the diameter of the pipe is less than 25 mm, whereas the diagona l configuration shown in Figur e 2.5 is used in applications where the di ameter of the pipe is up to 10 meters [4]. T wo flow meter pipes have been used in this work. The confi guration of the first flow meter pipe contains one pair of 4 MHz ultrasonic transducers ( Figure 2.2). The dist ance between the two transducers and the inner r adius of the flow meter body are L = 42.2 mm and R = 4 mm, respectively . The configuration of the second flow meter pipe contains one pair of 1 M Hz ultrasonic transducers with L = 49.5 mm (Figure 2.3). All experimental work has been performed using these meters. Chapter 2: The Prin ciples of Ultrasonic Flow Met er 7 Fig. 2.2: F low meter pipe with in -line transducers: (1) inlet, (2 ) cable connector , (3) the upstr eam transducer , (4) flow meter body , (5) the dow nstr eam transdu cer , (6) outlet Fig. 2.3: Flow meter pipe with in -line transducer s Fig. 2.4: F low meter pipe with re flectors Fig. 2.5: F low meter pipe with d iagonal transduce rs Chapter 2: The Prin ciples of Ultrasonic Flow Met er 8 2.3.2. The Princi ple of T ransit T ime Flow Meter The transit time flow met er is based on the tr ansit time diffe rence (TTD) p rinciple and uses two transducers. Ea ch transducer can alternatel y transmit and receive an ultrasonic signal. This signal is generated when a piezoelectric cr ystal is subjected to an alternating volta ge. Conversely , the piez oelectric crystal generates volt age wh en the ultrasonic signal im pacts the transducer . In the case of simultaneous excitation, the two transducers emit and receive the ultrasonic si gnals at t he same time. On e ult rasonic signal trav els throu gh the pipe in the direction of the flow (d ownstream direction) and the other against the flow (upstream direction). Eve r y signal needs a certain period of time (ca lled tr ansit time) passes before the sig nal is rec eived by th e opposite transducer . This transit time depends on three parameters: the speed of sound c, the ult rasonic path length L, and th e flow velocity v as illustrated by the following equations [23-24]: (2.2) (2.3) where t up is the upstream transit time, and t down is the downstrea m tr ansit time. If there is no flow , then: . (2.4) At no-flow conditions the transit times are equal. Once the fluid starts to flow , the sound wave moving with the flow travels faster than t he sound wave moving against the flow . The differe n ce b etween the two transit times is directly proportional to th e flow velo cit y . This can be mathematicall y expressed as follows: (2.5) Since flow velocit y v is much smaller than the speed of sound c, it can be derived from (2.5) as follows: (2.6) Since the internal cross-section of the pipe is kno wn, the volume flow rate Q is determined by the following formula: , (2.7) Chapter 2: The Prin ciples of Ultrasonic Flow Met er 9 where A is the inne r circular cross-section, and R is the inner radius of the flow meter pipe. The ratio of t to the tra v eling time t 0 measured at no-flow conditions is given by: . (2.8) Equation (2.8) can b e use d to calculate the ne eded measurement accu racy . F or instance, the minimum flow v min calculated for a given flow rate of two liters per hour (2 l/h) and pip e diameter of 0.8 cm is about v min = 10 mm/s, or approximately 7 ppm compare d to the sound velocit y (th e speed of sound in pure water and room temperature is about c = 1500 m/ s). Therefore, a ccording to Equation (2.5), thi s minimum flow variation o f 10 mm /s produces a tran sit time dif ference value of about t = 380 ps, provided that the travelling time of the us ed flow meter pipe is 28 µs (calculated for L = 42.2 mm usin g Equation (2.4)). Therefo re, to achieve an accura cy of 5 %, the desired ultrasonic flow meter must be able to accuratel y measure the trans it time dif ference of at l east 20 ps (which then would be its minimum measure d value). This thesis focuses on the transit time flow meter mostl y because of it s extensive industrial usage [ 5]. Besides, it ha s the highest cost ef ficiency and, unlike the Doppler flow meter , does not require the fluid to contain particles or air bubbles in order to reflec t the ult rasonic sound. Chapter 3 Ultrasonic Pie zoelectri c T ransducer Theor y and Modeling 3.1. Intr oduct ion An accurate description of the behavior of ultrasonic transducer ’ s active el ement requires a detailed investi gation of the transmitted acoustic wave, which travels thro ugh the pipe, and of the received a coustic wave, whic h is picke d up by th e opposite transducer a fter a predetermined time. This chapter starts with an overview of the piezoelectric ef fect, which is followed by a description of the real transducer geometr y and its dif ferent composit e layers. Thereafter , an analytical approach of the piezoelectric transdu cer developed throu gh th e solut ion of the dif ferential equation of driven damped harmonic oscillator , is analy zed in detail. In the remainde r of this chapter , the emulated transmi tted and received w avefor ms, which are generated using Matlab, are compared to the real signals obtained ex perimentally . We show that a full agree m ent between the theoreti cal description and ex perimental signals can be achieved with an appropriate choice of only three model para m eters: resonance freque n cy , d amping factor , and excitation frequency . 3.2. Piezoe lectric Effect The word "piezo", of Greek ori gin, means "push". According to [ 25], the ef fect known as piezoelectricity is a p ropert y exhibited by certain classes of crystalline materials that consist of polarized molecules. It was discovered by the brothers Pierre and J acques Curie in 1880. When a piezoelec tric material is subjected to a mechanical stress , it generates an electrical charg e, which is proportional to the appli ed stress. This behavior is called the direct piezoelectric e f fect. I nversely , when the piezoelectric material is subjected to an Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 11 electric field, it changes dimension and becomes strained [ 25]. This stra in is again proportional to the applied field. hese two ef fects are shown in igure 3.1. Besides qu artz and R ochelle salts, man y othe r piezoelectric materials are available nowadays, such as Barium T itanate ( BaT iO 3 ), Lead Metaniobate (PbN b 2 O 3 ) and L e ad Zirconate T itanate (PZT) [26-27] . Fig. 3.1: Piezoelectr i c effects: (a) dir ect, (b) inverse [25] 3.3. Ultra sonic Piezo electric T r ansducer The ultrasonic piezoelectric transducer is emplo y ed to convert electrical energy int o mechanical energy (sou nd wave) and vic e ver sa. The piezoelectric m aterial has th e following three properties [25]: • the elasticity p ropert y which defines the mechanical aspect of the material • the piezoelectric propert y which defines the electromechanical aspect of the material • the dielectric property which define s the electrical aspect of the material. An ultrasonic transducer consists of three ma in pa rts as shown in Figure 3. 2: piezoelectric disk, the rear part or backing la y er , and fr ont or matching la y er [ 28-29 ]. Man y factors determine the pe rformance of ultrasonic tr ansducers, the most important of them being the material properties of th e transducer components, including housing and connections, the external mechanical, and electrical load c onditions and damping. Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 12 Fig. 3.2: T ypical construction of an ultrasonic tr ansd ucer [29]: (1) matching layer , (2) piezoelectr ic disk , (3) backing layer , (4) cable connector , (5) transducer housing, (6) electr odes 3.3.1. Piezoelectric Di sk The piezoelectric disk is the main component for generating and receivi ng the ult rasonic wave and the active e lement of the ultrasonic transduc er . The angle at which the piezoelectric c r y stal is cut in relation to its c r y stallographic axes defines its vibration mode and the t ype of the generated ult rason ic wave, wh ich can be a longitudinal or a shea r wave (Figure 3.3), depending on the application. For instance, in our application, the ultrasonic wave propagates through the water by a longitu dinal motion (compression/expansion) as the fluid does not suppo rt the she ar motion [30 ]. The surface of th e disk moves up and down, and the wa t er has to follow this movement directly . Fig. 3.3: Response of a piezoelectric element to an AC voltage: (a) compr ession motion generating longitud inal waves, (b) transverse motion generating shear waves The active el ement of the transducer shows a t ypical resonance frequenc y whose value is precisely related to the size and shap e of the piezoelectric transducer according to Equation (3.1). (3.1) Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 13 where f r is the resonance frequenc y , T is the disk thickness (see Figure 3.4), and c repre s ents the wave velo cit y of the lon gitudinal vibration inside the disk and depends on the acoustic properties of the disk. Fig. 3.4: P ie zoelectric disk with thickness T and diameter D [29] 3.3.2. Piezoelectric Ba cking and Matc hing Lay er The backing la y er consists of a high-density m aterial and is used to control the vibration by absorbing the energy radiating from the ba ck face of the active element. The piezoelectric materials are characterized by hi gh acoustic im pedance in comparison to water and air . Consequently , the b andwidth of the response function of the disk is l ow . The acoustic impedance mismatch can be overcome by adding a matching la yer to enhance the bandwidth and sour ce sensitivity . More reliable wide bandwidth tr ansducers are obtained by adding a quarter -wave matching layer [31-33 ]. 3.4. Piezoe lectric T ransducer M odeling The transducer may be driven by a volta ge bur st consisti ng of a finite number of sinus cy cles with a w ell-defined frequency , which is chosen near the resonance frequenc y of the transducer . V ibrating at the same fre quen c y as the applied voltag e, t he piezoelectric material generates a wave, which prop agates th rough th e water . In o rder to unde rstand exactly how this waveform is generated, in particular the "transient behavior" and "stead y- state behavior", an anal y t ical description is needed to emulate the excitation process. The transducer , like man y oscillators, can be m odeled as a harmonic os cillator , which is character iz ed by its "resonance frequency" and "damping coef ficient". The excitation of the harmonic oscillator by a voltage causes the oscillator to vibr ate at the sa me frequency as the applied voltage. It vibra tes with g reater ampl itude if the frequency of the e x cited voltage corresponds to the resonance frequency of the oscillator . Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 14 In the case of a harmonic ex citation, three basic parameters dominate the behavior of the oscillator ’ s response: angular resonance frequency ω r , damping coef ficient ζ , an d angular force d frequenc y ω f . Ho wever , as the free vibr ation (transient part) dies out over time, onl y the forced frequenc y do minates the remaining stead y-state p art. W hen there is no ex citing signal, the signal dies out gradually , which c auses the decay of the si gnal to z ero due to the transfer of the energy to the water . This switching-of f behavior is characterized onl y by ω r, ζ . The driven damped h armonic oscill ator model attempts to develop a b etter understandin g of the ultrasonic transducer . The disk, which represents the transducer ’ s active element, can be described by both models depicted in Figure 3 .5. During resonance, t he series resonant circuit R s , L s , C s shown in Figure 3.5.b (also called motional branch) f orms a damped harmonic oscillation and resonates in a sim ilar wa y to the mechanical model shown in Fig u re 3.5.a. Therefore, it is possible to compare the two models and use the electrical parameters (inductan ce, capacitance, and resistance) to represent the mechanical parameters (m ass, sti f fness, and damping) [ 25]. He nce, some mechanical and elec t rical properties such as material density , elastic mechanical parameters, piezoelectricity , and dielectricity define the values of the motional components. The impac t of the parallel capacitance shown in the electrical model is explained in more detail in the next section. Fig. 3.5: Equivalent m o dels of the piezoelec tric element: (a) me chanical model, (b) Butterworth-V an Dyke electrical model Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 15 For sinus excitation, the basic description of the damped externally dri ven oscillator is provided b y the following second order dif ferential harmonic equation: , (3.2) where: F = F 0 /m is the applied e x ternal force F 0 divided by m, m is the mass, ω f is the ang ula r forced frequenc y of the sinus burst, d is the viscous damping coef fic i ent, k is the system stif fness coef ficient, is the damping c o ef ficient , and is the angular transducer resonance frequency . The mechanical displace ment is analogous to the elec trical charge that can be used to reformula te the p revious dif ferential Equation (3.2). The summar y of the equivalent quantities between the mechanical and electrical models is presented in T able 3.1 [34 ]. Electrical Mechanical Char ge Q Displacement x Current I = dQ/dt V elocit y v Applied voltage V Applied force F 0 Resistance R s Friction c Inductance L s Mass m Capacitance C s Spring compliance C = 1/k T able 3.1: Comparison of equ ivalent electr ical and mechanical r esonant cir cuits According to T able 3.1, Equation (3.2) of the mechanical motion can be rewritten as: (3.3) where: V is the amplitude of the applied voltage, R S , L S, and C S are the parameters of the pi ezoelectric disk, describes the damping coef ficient, and Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 16 is the transducer serial resonanc e an gular frequency . Assuming < 1 (underdamped harmonic oscillat or), the complete solut ion of Equation (3.3) is given by Equ ation (3.4). Generally , this function can be divided int o two parts: the solution of the homogeneous differe ntial equ ation with a zero right side giving the transient response, and the p articular solution of the non-homogeneous equation as t he answ er to the externally applie d volta ge: . (3.4) The homogeneous solution of this equation is g iv en by: (3.5) where is the damped natural ang ul ar frequenc y , equal to , and the constants A h and θ are dependent on the initial conditions. The particular solution, the forced or stationa r y solution, is given by : (3.6) A p and can be determined simply if w e use the complex form of the dif ferential Equation (3.3), which can be written a s: (3.7) Using Moivre’ s fo rmula, and Q(t)= , one can write: . (3.8) By dividin g the previous equation into re al a nd imag inar y pa rts, we e nd up with the following equations that correspond to the amplitude A p and the phase , respectively: (3.9) (3.10) Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 17 The amplitude of the forced os cillations depends on the dif ference between the forced freque n c y 1 of the applied voltage and the resonance frequency of the piezoelectric disk. The damping coef ficient has a strong influence on the maximum amplitu de reached when both force d and resonance frequencies are simil ar . Figures 3.6 and 3.7 show the t ypical behavior of the amplit ude and the ph ase, respectively , when r ealistic para met ers a re applied. Regarding the amplitude response shown in Figure 3.6, a Gaussian t ype distribution around the reson ance point can be observed when realistic parameters are applied, especially for the damping coef ficient. Considering the main goal of this work, which is re ducing the TTD -jitter and TTD -of fset, this illustration clearly d emonstrates th e strate gy which has to be applied: If both transducers are d riven using a forced frequenc y , which is in the direct vicinity of their resonance point s, good SNR in the receiving pa rt can be ex pected. In this work, the recommended ran ge is ±500 kHz or approxim ately 10% of the reson ance freque n cy . Fig. 3.6: A mplitude of a driven d amped harmonic oscillator at ζ =0.02 an d f r = 4.05 MHz Regarding the phase response shown in Figure 3 .7, it can be observed th at the ph ase shift between the excitation and the mechanical response of the tr ansducer is constant and depends only on the differe n ce " ω r - ω f ". It can be also observed in Figure 3.7 that the phase tends either towards 0° or towards 180 ° at frequencies awa y from the resonance freque n cy . This feature would allow to derive a reliable measurement method bec ause in 1 Also called the dr iving frequenc y . Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 18 these two pa rts of the p hase frequenc y response the phase shifts are qui te steady and no longer d epend on the transducer paramete rs. From thi s observation it can be dire ctl y deduced that the temperature dependence of the transduc er parameters ef fects does not influence the measurements (outside the well-known relationship of the speed of sound versus temperature). Y a ng Bo [1 9], who applied this idea, re po rted an approximatel y 200 ps pe ak- to -peak TTD -jitter and − 185.3 ps T TD-of fset measured at no -flow conditions due to drastica ll y reduced S NR. Fig. 3.7: Phase of a driven damped harm onic os cillator at ζ =0.02 and f r = 4.05 MHz 3.5. Butter worth-V an D y k e Model The comparison of the mechanical and electrical models shown in Figure 3.5 shows that the dif ference between t he two models is given by the p arallel capacitance C p , which is inherent in a transducer where met al electrodes a re separated by a disk. W ith regards to the experimental setup prese nted in Figure 3.13, the function generator which can be repre s ented by a voltage source with output resistanc e ( ≈ 50 Ω ) is ad ded to the total electrical excitation circuitr y (F i gure 3.8 ). The transmitter transducer is connected to this voltage source via an external r esistance (R 1 ) of a ty pi cal v alue of 200 Ω . In the case of simultaneous ex citation (Figure 4.1), two resistances R 1 and R 2 are used. The total symmetry of th e two electrical cir cuits can nev er be assumed. Th e values of R 1 and R 2 can be dif ferent, and also the material parameters of th e two disks are clearl y no t identical. This dif ference in the two res istances does not cause a systematic TTD -of fset error as long as both directions are symmetric in terms of impeda n ce. Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 19 The harmonic model, which is independ ent of either sin gle or simult aneous excitation, does not take into account the parallel capacita nce C p . Onl y the motional bran ch of the transducer' s electrical model (Figure 3.5.b) can be repr esented by the harmonic oscillator model. Fig. 3.8: Simulation cir cuit usin g the transducer electrical model Regarding the "Vtrans" node, the AC analysis of the electrical circuit shown in Figur e 3.8 results in the frequency re sponse magnitude and p hase plots shown in Fig u res 3.9 and 3.10, respec tivel y . Hence, these re sults show a differe nt behavior when compared to the harmonic model findings depicted in Figure 3.6 and 3.7. The refore, du e to the parallel capacitance C p , the AC sim ulation results obtained with the transducer's electrical model (Figure s 3.9 and 3.10) clearl y demonstrate a restricted sim ilarity compare d to the findings obtained with the harmonic oscillator model (Fi gures 3.6 and 3.7). However , the an al y tic evaluation of the two parallel bran ches gives a rather complicated amp litude and phase equations (Equations (3.1 1) and (3.12)) compared to those obtained previously du ring the evaluation of the harmonic oscillator (Equations (3.9) and (3.10)). Thus, the transfer function Vtrans/V in of the electrical cir cuit shown in Figure 3.8 has a magnitude and phase shift, which are respectively given b y: (3.1 1) . (3.12) Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 20 Moreover , in the transducer electrical model the two parameters ω r and ζ , which character iz e the harmonic oscillator model, are extended to three pa rameters: ω r , ζ , and C p . The amplitude response over frequenc y (Fi gure 3.9) display s follo wing qualitative behavior: At low frequencies, the impedance of th e mot ional branch is extremel y high and the voltag e "Vtrans" ris es with increa sin g frequency . As the fre qu ency increase s, the capacitance C s in the serial branch lowers the re sulting impedance, and therefore the voltage "Vtrans" dec reases as well. At the series resonance point the minimum impedance (R s ) is r eached. At onl y slightl y hi gher f requencies (at the parallel reso nance point) the inductance dominates the resulting impedance of the motional branch. It resonates with C p , causing the volta ge "Vtrans" to inc rease. How ever , as th e fr equency gets hi gher , the parallel capac itan ce prevails so that "Vtrans" tends towards 0 V. Fig. 3.9: A mplitude r esponse at "Vtrans" node at f s = 4.05 MHz and f p = 4.3 M Hz The phase behavior shown in Figure 3.10 can be easil y explained as follows: At low freque n cies the resulting tr ansducer impedance is given mainl y by the c apacitance C s ; hence, when compar ed to the ex citation phase sh ift, the phase tends towa rds -90°. At the point where forced freq uency increases and rea ches the serial resonance fr equ ency , the ef fect of inductance and capacitance compensat e each oth er , and the resulting impedance is given onl y by the resista nce R s , which r epresents the acoustical loss es of t he transducer to the surrounding environ ment and the energy transferred to the water [ 35 ]. In thi s case, the phase tends to 0°, and th e equivalent t ransducer electrical model is simplified to a pa rallel Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 21 connection of R s and C p . However , as the frequency gets high, the induc tance dominates the resulting impedance of the motional branch, and the phase tries to reach +90°. At the operating point where the fr equency becom es higher , the influence of C p cannot be avoided. At thi s point the phase makes a fast transition from +90° to -90°. Fig. 3.10: P hase r esponse at "Vtrans" node at f s = 4.05 MHz and f p = 4.3 MHz Fig u res 3.9 and 3.10 sho w that the transducer exhibits two resonance f requencies at whic h it appears resistive. Th e first frequency , at which the impedance of the transducer is the smallest, is called series resonance frequenc y f s . This resonant first poin t is created when C s resonates with L s . The second frequency , at whi ch the impedance of the transducer is the greatest, is called parallel resonance frequenc y f p . This resonant second point is crea ted when L s and C s re son ate with the parallel capacitor C p . These two frequencies can be computed as follows: , (3.13) . (3.14) W it h respect to the last results shown in Figures 3.9 and 3.10, the assumption that the transducer can be model ed as a h armonic oscill ator becomes valid onl y if the voltage ov er R s is anal y z ed instead of "Vtrans" sinc e the acoustic ene rgy transmitted by th e tr ansducer to the water is proportional to the ener gy dissipated in the serial resistance R s [36 ]. The Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 22 following two fi gures show the am plitude and the phase at nod e "V r ", respectively . There is a dire ct correspondence betw een th e harmonic oscillator responses sho wn in Figures 3.6 and 3.7 and "V r" responses pres ented in Figures 3.1 1 and 3.12. To sum up, these curves clearly d emonstrate th at the mathematic modelin g b ased on the driven damped ha rmonic oscillator can govern the transducer' s b ehavior . Fig. 3.1 1 : A mplitude r es ponse at "V r" node at f s = 4.05 MHz and f p = 4.3 MHz Fig. 3.12: P hase r esponse at "V r" nod e at f s = 4.05 MHz and f p = 4.3 MHz Even unde r the condition that the ma gnitude and phase responses at th e "Vtrans" node do not demonstrate the behavior of a d riven damped harmonic oscillator , th e "Vtrans" signal can be separated in to three dif ferent re gions on the basis of the harmonic oscillator Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 23 modeling aspects and according to the measured examples depicted in Figure s 3.16 and 3.17. • The first region contains both the homogene ous and the particular solution because the particular solution alwa y s represents a sine w ave, and an y deviations from sinus oscillations are ca us ed by the homogeneous solution. • The next region is ch aracterized b y the pure sinus wave, i.e., the hom ogeneous solution dies out because of the damping, and the remaining part is presented by the particular solution. • The last re gion can be observed i f the excitation is switched off. Hence, the homogeneous solution is active. This reg ion is chara cterized by damped oscillations. In this work, the transit time dif ference (TTD) measurements are restri cted onl y to the second region (in further text quiet reg ion or steady-state region). This reg ion is character iz ed by the pure sinus of the particular solution . In this region the influence of C p cannot be a void ed. Hence, the current throu gh C p is g iven b y: (3.15) For a pure sinus burst, this current can be represented by a sinus oscillation as follows: (3.16) The total current flowing into the two branches of the ci rcuit shown in F igure 3.8 can be calculated as the sum of the current flowin g thro ugh C p and the current f lowing into the motional branch: ( 3.17) where, (3.18) . (3.19) The influence of the par allel ca pacitance on th e second region, which is characterized by the particular solution of forced oscillation, results in a simple phase shift. Hence, instead Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 24 of 0 , a slightly changed value 2 can be d etected. The amplitude undergoes a sim ilar change. Since the t ransit time dif ference is comp uted as the phase di f ference between the two received si gnals 2 , th e changes of the amplitude do not af fec t the measurement accuracy . 3.6. T ransmitted an d Received Sign als Modelin g Numerical solutions of the mot ion equations are obtained using Matlab in order to emulate the measured transmitted and rec eived si gnals. These waveforms are subsequentl y compared to the experi mentally me asured ones. The me asurement principle used in th e experiments is shown in Figures 3.13 and 3.14. The transducer T R1 is ex cited through the resistance R by a sinusoidal burst in order to genera t e an ultrasonic signal that can be rece iv ed by the se cond tr ansducer T R2 after trav eling through the water within the dist ance that separa t es the two transducers. Fig. 3.13: Exper i mental setup used to generate and detect the ultrasonic waves Fig. 3.14: The experimental setup 2 For further detail s see Chapte r 4. Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 25 Fig u re 3.15 shows a screenshot of Digilent Analog Discover y di gital oscilloscope displaying the transmitted and received si gnals measured with 1 MHz flow meter pipe. Assuming that the soun d velocity at ambient te mperature is 1500 m/s, the sound wave traveling time calculated for an ultrasonic path length b etween T R1 and T R2 of L 49.5 mm is about 33 µ s. Fig. 3.15: A scree nsh ot of the transmitted and r eceived waveforms The two channel measured waveforms demon strate a loss in the amplitudes between transmission and reception. The 1 MHz flow meter pipe shows that the ultrasonic received signal is attenuated by a factor of 2.5 compared to the transmitt ed sig nal, whereas for the 4 MHz flow meter pipe the attenua tion fa ctor becomes nearl y 10 ( Figure 3.22). 3.6.1. T rans mitter From the mod eling point of view , the t ransmitted signal can be divided int o two parts. The first part is character ized by the fact that the homog eneous and the particular solution are both active. The second part is provided only by the homo geneous solution since the excitation is switched off. Hen ce, the si gnal dies of f gradually since there is no driving force . According to our measurements, the de cay of the amplit ude lasts about 10 to 15 periods. Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 26 Regarding the particular and the homo geneous solut ion (Equations (3.5) and (3.6), respec tivel y ), three para meters - tr ansducer resonance frequenc y ω r , damp ing coef fi cient ζ, and the angular driving frequency ω f - are used in order to emulate the transmitter signal. Fig u re 3.16 shows the simulated as well as the measured transmitted waveforms for 27 periods of uniform sinusoidal applied voltage. The simulati on is performed at a damping co ef ficient ζ = 0.05, a resonance frequenc y f r = 1 MHz (f r = 2 /ω r ), and a forced freque n c y f f = 1 MHz (f f = 2 /ω f ), wh ereas the m easured signal is obtained at f f = 1 MHz. The second example shown in Figure 3.17 is obtained by chan ging o nly the forced freque n c y f f from 1 MHz to 1.1 M Hz for the simulated a nd for the measured signals. The difference s caused by th e parallel ca p acitance can be observed, especially at the beg innin g when the ex citation starts and in the mo ment when the excitation is switched of f. It can be seen that the blue and red curves look very similar outsi de the switching-on and -of f behavior . A 10% change in the driving frequenc y provides a remarkable dif ference in the shape between the two waves depicted in F i gures 3.16 and 3.17. Fig. 3.16: T ransmitter response for a 1 MHz flow meter p ipe and L = 49.5 mm at f f = 1 MHz: (a) em ulated w aveform , (b) measur ed waveform Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 27 Fig. 3.17: T ransmitter response for a 1 MHz flow meter p ipe and L = 49.5 mm at f f = 1.1 MHz: (a) em u lated waveform, (b) measur ed wavef orm 3.6.2. Receiver Assuming that the transmitted signal, which is directed towards the second transducer , is defined by the complete solution of Equation (3 .4) (the homogeneous a nd the particular solutions), this complete solution is used to replace the second part of t he second order dif ferential harmonic equation (Equation (3.3)). The followin g equation can be used to emulate the rece ive r waveforms: (3.20) According to the numerical solution of Equation (3.20) obtained using Matlab, five parameters are now used in order to emulate the ult rasonic receiver signal: two parameters of each of the two transducers ω r1,2 , ζ 1, 2 , and the angular forced frequency ω f . Hence, the rece iv er wa veform is ch arac t erized by t wo intervals. During th e first time int erval, the external force is given by "Q h (t) + Q p (t)", while during the second interval the external force is given by onl y Q h (t). Figure 3.18 shows the result of the simulated receiver results achieve d for th e paramet er values ζ 1 = 0.01, ζ 2 = 0.02, f r1 = 1.01 MHz, f r2 = 1.02 MHz. The external force is activated at the s ame frequenc y of 1 MHz for 33 c ycles f or both simulated and measured si gnals. T he shapes of both waveforms look ver y simil ar . The me asured Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 28 curve shows a di f ference at the end after rou ghly 103 µ s, where the first reflected signal already approaches the received signal, causing interference between both signals. Fig. 3.18: Receiver re sp onse f or a 1 MHz flow meter pipe and L = 49.5 mm at f f = 1 MHz: (a) em ulated w aveform , (b) measur ed waveform Fig. 3.19: Receiver r esp onse for a 1 MHz flow meter pipe and L = 49.5 mm at f f = 1.02 MHz: (a) emulated waveform at ζ 1 = 0.01, ζ 2 =0.018, f r1 = 1 MHz and f r2 = 1.02 MHz (b) measur ed w aveform Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 29 By compa ring the measured receiver and transmitt er signals, it can be deduced that the switch-on and th e swit ch-of f beha vior of the excitation, which creates spikes in the ultrasonic transmitted signals, is no longer seen in the received ones. Therefore, in contrast to the transmitt er , the receiver is activated and de activated rather smoothl y . The flowing of the current over C p does not produc e any signa l spikes since the ultrasonic transmitter signal impacts the receiver transducers more or less continuously . The influence of C p is corre spondin gl y small. In summary , the model of the ha rmonic oscillat or is found to be the m ost ef fective to describe and anal y ze the measur ed curves. The dif ferent ph y sical waveforms in Figures 3.16 to 3.19 can be ea s il y emulated b y an appropriate choice of three parameters (the transmitter transducer parameters ω r , ζ , and the angular driving frequenc y ω f ) in the case of the transmitted signal, and five parameters (the tw o transducers parameters ω r1, 2 , ζ 1, 2 , and the angular forced freq uenc y ω f ) in the case of the re ceived signal. Obviousl y , th e requirement sp ecified p reviousl y - an anal y tical description of the resul ting signals - is fulfilled by modeling the piezoelectric transducer as a driven da mped h armonic oscillator . 3.7. Quiet Re gion As pect After the decay of the tra nsient part of the ultrasonic sig nal, the result ing signal is character iz ed by a constant phase, uniform ampli tude, and a f requenc y which matches the force d frequenc y . H ence, the mathematic representation of this signal is given by the particular solution equa t ion 3 . As mentioned previousl y , the evaluation of the measured curves h as to be restricted to this "quiet" time interval. Therefore, it be comes necessary to analy ze quantitatively the influence of the ho mogeneous solution (transient response): what is the minimum number of c y cl es required in a burst excitation to make sure th e transient region dies of f completely and the steady-state is reached? This can be deter mined by estimating the f requenc y variation th rough the transmitted or the r eceived signals using consecutive z ero-crossings. The good a greement betwe en the emulated and the measured curves ( Figures 3.16 - 3.19) allows to use of the former ones to perfor m the frequency variation estimation. Figure 3.20 il lustrates the fr equency variation, which is performed on the basis of the emulated transmitter signal ex ample for f f = 1.02 MHz, ζ = 0.05, and fr = 1 MHz, and using the analysis of the zero-crossings. 3 See Equation (3 .6). Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 30 Fig. 3.20: Fr equency variation thr ough the transmitted signal The zero-crossings are ca lculated by the line ar interpolation betwee n ever y p air of successive positive and negative signal values and their corresponding time on the x -axis. As a result, the homoge n eous solution or the resonance effect dies out after about 25 periods, which allows the transducer to r each the so -called quiet region or the stead y - state region [3 7 ]. In orde r to achieve hi gh accura cy of less than 20 ps peak - to -pea k TTD - jitter and TTD -of fs et of zero, the TTD measurements ar e carried out only within thi s steady - state region 4 . It can be deduced f rom the results reported in Figure 3.20 that the transducer must be excited by a burst of more than 25 cyc l es in order to ge nerate enou gh measurement points in the quiet reg ion parts of the ultrasonic signals, i.e., t y picall y 50 to 70 periods of excitation. The number of the allowed excited c ycles is strictl y limi ted by wave reflections ge n erated by the other t ransducer on the opposite side of the pipe. This pr oblem becomes more serious when the ex citation of the two t ransducers is don e simulta neously and the ultrasonic path length is between 5 and 8 cm. Then, the number of c y cles is limited to only about a hal f of th e sound wave traveling time. However , when a sin gle ex citation is used to excite the transducers, the number of c yc les is limited to about a sound wave traveling time since the transmitted and the received signals are acquired fr om di f ferent sc ope channels. In ord er to reach a mi nimum TTD -jitter and TTD -of fset in the receive mod e, the transducer has to recover from the transmit mode and achieve a state where it becomes completel y 4 See Section 4.5 of Chapter 4 fo r further discussion. Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 31 calm after passin g the t ransient part, where fr ee vibration is sti ll valid. Therefore, it is necessary either to ex tend the pipe length or to us e a pair of t ransducers with a suffic ientl y high resonance frequency . For a 1 MHz flow meter pipe and within a t y pical dist ance of about 5 cm, the numbe r of periods is limi ted to roughly 20. Ho wever , a 4 MHz flow meter pipe allows 4 times more periods. In this work, we ch ose to switch from 1 MHz to the 4 MHz flow meter pipes (Figure 2.2), where t ypically a sinus bu rst of 70 c y cl es is used for excitation. Fig. 3.21 : Measur ed tran smitted signal of the 4 MHz flow me ter pip e Fig. 3.22 : Measur ed r eceived signal of the 4 MHz flo w me ter pip e Chapter 3: Ultrason ic Piez oelectric T ransducer The ory and Modeling 32 3.8. Character istic Fr equenc ies of Piez oelectric T ransducer As mentioned in Section 3.5, there are two fr equencies which characterize the piezoelectric transducer impedance: the serie s and the pa rallel freque nci es. In ord er to esti mate the freque n cies which characterize the 4 MHz transducer pair located in the 4 MHz flow meter pipe used in our experiments, a variation of transmitt er voltage s VT D 1 and VTD 2 in both directions with respec t to the driving frequenc y is obtained experimentall y using the measurement setup shown in Figure 3.13 and the 4 MHz flow meter pipe . The amplitude voltage s are estimated in the steady- state re gion of transmitted signals in both directions using least square sine- fi tting. This experiment result (Figure 3.23) shows the same general character istics when compared to th e simulated magnitude response of th e electrical model of the transduc er shown in Figure 3.9. The p iezoelectric series resonance frequenc y corre sponds to the minim um impedance of the transducer (minimum amplitude in Fig u re 3.23), and the parallel resonance frequenc y corresponds to the max imum im pedance of the transducer (maximum amplitude in Figure 3.23). The transduc er is protected by its high im pedance in o rder to transmit the max imum energy to th e wat er . The max imum voltage results from the fact that the driver s ends a minimum of energy to the transducer , thus the current over R s (Figure 3.8) becomes minimal. Fig. 3.23: Measur ed transmitter voltages versus driving fr equency , p erformed at ambient tempe ra tur e f p2 f p1 f s2 f s1 Chapter 4 Determinati on of T ransit T ime Differ ence 4.1. Intr oduct ion The transducer model b ased on the driven dam ped harmonic oscillator model shown in Chapter 3 allows an accu rate description of the b ehavior of a piez oelectric transducer . The free oscillation of the transducer di es out when it is excited by a burst of a suf ficient number of cy cles in order to a llow the transducer to re ach a stead y - state. We take advantage of this phenomenon - the d y ing out of the tra nsient reg io n - to measure indirectly th e transit time differe nce (TTD) by comput ing the phase difference b etween the steady - state region of received sign als in the upstream and downstream d irections. Man y factors si gnificantly influence the upstream and downstream transit ti mes, such as water viscosity , temp erature-dependent transducer parameters, and th e speed of sound c, which is related to the comp ressibilit y K and the densit y of water by th e following equation: (4.1) All these factors impose great challenges to develop a new methodolo gy for achieving high measurement a ccuracy with re duced TTD -jitter and compensated TTD -offse t at no-flow conditions and within a temperature range from room temperature to 80°C. The first part of this ch apter introduces the experimental setup for mea suring the TTD, followed by the description of the transmission and reception electronics associated with the transducers. The second part of the chapter describes the methodolog y applied to compute the TTD . Chapter 4: Determ ination o f T ransit T i me Di ff er ence 34 4.2. Exper imental Setup for Mea suring the TTD The operational principle of the s ystem used in the experiments is illustrated in Figure 4.1. As mentioned previously in C hapter 3, in order to allow the receiving trans ducer to reach a steady - state where both amplitude and frequency are settled, a sinusoidal burst of 70 cycles ge n erated over a time p er iod of 100 ms b y a function waveform generator (Hameg HMF 2550) is used to drive the two transducers (TR 1 and TR 2 ) si mul ta neou sly thro ug h t he re si sta nce s R 1 a nd R 2 . T he se tra nsd uce r s co nver t elec tr ica l exc ita tio n i nt o a me c han ica l wa ve . The dri vi ng fre quency of the bur st is se lec ted nea r the res on ance fr equ enc ie s of bot h tr an sdu cer s in or der to a ch ie ve the ma xim um ou tput v ibra ti on w ith an en hanc e d SN R. Fig. 4.1: Block diagram of the experime ntal setu p for m easuring the TTD Fig u re 4.2 shows a picture that was taken while performing the measurements. Fig. 4.2: Experimental setup for measuring the TTD Chapter 4: Determ ination o f T ransit T i me Di ff er ence 35 In o rder to eliminate the high starting jitter , which is caused b y tri ggering and recording ultrasonic signals from both directions separately (sequentiall y ), w e rel y on the simultaneous (synchronous) ex citation approach. This mea ns that the common sync h ronized clock of th e dual channel digital os cilloscope (Di gilent Analog Discovery) is used to tri gger and acquire si gnals from bot h directions. Hence, w e elimin ate an y dif ferential delay time between the two input cha n nels. As shown in Figure 4.3, the sound waves a re received sim ultaneously b y b oth transducers after a traveling time that is proportional to the distance between the transduc ers (L = 42.2 mm). The received signals are attenuated due to the loss or a bsorption of acoustical energy b y the medium [ 34]. Therefore, w e us e two low -n oise operational amplifiers (OP A2846 ID), shown in Fig ure 4.1, in order to increa se the signal levels. The amplified signals are acquired b y the digital osc illoscope, which has two 14 -bit channels with a sampling rate of 5 0 10 6 Samples/s per channel. The samples a re s aved in comma - separa t ed valu es (CSV) data fo rmat and importe d to the computer (PC). An embedded (PC) software algorith m written in Matlab h andles the automatic TTD measurement repetition, providing all necessar y p rograms to c ontrol the function generator and digital oscilloscope. Fig. 4.3: Acquir ed ultrasonic sign als in both dir ections (measur ed using a 4 MHz dr ivin g fr equency) Chapter 4: Determ ination o f T ransit T i me Di ff er ence 36 4.3. Method ology for the C alculation of TTD The TTD can be d educed from the phase dif ference between the stead y-s tate parts of the rece iv ed signals in the upstream and downstr eam directions b y estimating the two phases with the least squares sine-fitting algorithm of Matlab (see Figure 4.4) [19] [38 ]: (4.2) (4.3) where and are the phase shifts between the received and transmitt ed s ignals measured in the stead y-state regions (se e Figure 4.5) in the upst ream and downstre am direction, respectivel y . In the quiet region, the received si gnal frequency f matches the force d frequency of the ex citing sig nal. Therefore, the TTD can be computed as follows: (4.4) Fig. 4.4: Phase differ ence between the steady-state r egion of re ceived sign als in both dir ections Chapter 4: Determ ination o f T ransit T i me Di ff er ence 37 Fig. 4.5: Response of the 4 MHz transducer to the incident ultrasonic wave Assuming that the phase shifts between the electric and acoustic signals on both transducers for transmitted signals are t1 , t2 and r1 , r2 for received signals, the total calculated phase differe n ce ( T ) between the signals recorded from both directions is given by [19]: . (4.5) Since t up and t d ow n are the same at no-flow con ditions a ccording to [7] and [19] under electro-acoustica l reciprocal ope ration, in which t1 + r2 = t2 + r1 , the phase difference between the upstream and downstream directions can be compensa ted. Such operation requires that the equival ent electrical impedances of the electronics and transducers are equal in both dir ections. Therefore, under thi s co ndition the unmatched transducers ar e no longer the onl y r eason for the TTD -of fset drift produced at no-flow conditions. The dissy mm etr y between th e two directions si gnal p aths (in te rms of the electrical im pedances of the elec t ronics and transducers used in the mete r), which m ainly causes the TTD -offse t. 4.4. Least Squa re s Sine-Fittin g The least squares sine -fitting ( L SSF) is a ver y accura t e method to estimate all three parameters - amplit ude, phase, and freque n c y - that chara cterize a digitized sinuso idal signal sampled at a well-defined sampling rate [39 ]. The sine-fitting technique is used as a filter and can si gnifica n tly r educe noise such as the ADC quantiz ation noise [40 ]. Th is procedure is ver y ofte n used to recover dist orted and noisy signals in tests and measurements [4 1-45 ]. A three-parameter sine- fit algorithm is used for a reasonable estimation of amplitude, phase, and frequenc y of each recorded sample. Assum ing that the data of n samples ha s b een saved, the fitted function is given by: Chapter 4: Determ ination o f T ransit T i me Di ff er ence 38 , (4.6) where A and are the amp litude and the phase of t he signal, respectively , f is the driving freque n cy , and t n is the discre te- time vector . The sum of sq uares of th e error between these three ex tracted parameters and the measured data is g iven b y: . (4.7) The algorithm chooses s uccessive values of A, f, and to minimize , taking into account the signal- to -nois e-and-dist ortion ratio [41] [45 ]. 4.5. Estim ation of the Quiet R egion As mentioned before, accurate phas e estimation from the acquired recorded d ata is performed in the quiet p arts of received signals. As shown in Figure 4.6. b, relativel y hi gh random fluctuations in volt age occur in the r egion between the transmitted and received signals, which can influence measurement a ccuracy . Such voltage fluctuations arise due to insuf ficient ti me, which leads to a complete d ecay of the t ransmitted signal to zero before the arrival of the re ceived signal due to simultaneous excitation. In the case of single excitation, the transmitted and the received signals are acquired from diffe rent scope channels, as shown in Fig ure 4.7. It demonstrat es that only a few millivolts t y pical noise floor of the di gital oscill oscope is observed before the start of the transmitted signal and the a rrival of the r eceived signal (Figure 4.7.a and 4.7.c). This also shows that in our chosen te chnique th e hi gher voltage noise arise d ue to the prox imi ty of th e transmitted and rece iv ed signals in the same channel. Fig. 4.6: V oltage fluctuations in the r egion betwee n the transmitted and r eceived signals measur ed at simultaneous excitation Chapter 4: Determ ination o f T ransit T i me Di ff er ence 39 Fig. 4.7: Noise of the oscilloscope measur ed at single excitation In order to protect the phase measurement inte rval from these volta ge fluctuations, the transducer should be excited for a sufficiently l ong p eriod of time. Figures 4.8 and 4.9 show the results of the cy cl e- by - c y cle time dela y of the transmitted and rec eived signals, respec tivel y . These results are calculated throug h the estimation of phase shifts of the 70 periods between the electric and acoustic sig n als on both transmittin g and receiving transducers in both directions by usin g sine-fittin g. These results show that after 50 c y cl es of excitation the two transmitted and received signals look more steady and the transient region (free os cillation of the transducer) h as completel y died out. Therefore, on the b asis of these results we decided to use the last 20 periods to extract sine-fitting parameters in all our experiments. Fig. 4.8: The cycle- by -cycle time delays of both transmitted signals in both dir ections Chapter 4: Determ ination o f T ransit T i me Di ff er ence 40 Fig. 4.9: The cycle- by -cycle time de lays of both re ceived sign als in both dir ections 4.6. Algor ithm for Com puting the TTD The main components of the algorithm used for estimating the phase and computing the TTD ar e shown in Fi gure 4.10. A sine- fitting technique is used to reduce the error in the phase estimation. This technique estimates the sine wav e that best fits the r ecorde d samples of the last 20 c ycles of signals re ceived fr om both directions. The al gorithm used for computing the TTD value performs the following steps: Read the recorde d d ata saved in CSV f ormat. The DC of fset correction is performed to remove it from the acquired signal. This correction is done b y co mputing the mean volta ge value of all recorded v oltage samples, which is then subtracted from each da ta voltage sa mple. An estimation of both frequencies of sine waves from the recorded sampling data is performed b y using the least squares sine-fitting algorithm of Matlab. This estimation is carr i ed out in the steady-state parts of re ceived sig nals in upstre am and downstream directions. An estimation of amplitude and ph ase, which characterize the di gitized sinusoidal signals, is performed by using the previousl y obtained mean value of the fitted freque n cies. Calculate the dif ference betwee n the two fitted phases. Calculate the TTD. Chapter 4: Determ ination o f T ransit T i me Di ff er ence 41 In order to control the shape of the curve, the upper and lower bounds of the estimated parameters (amplitude, phase, and frequenc y) tha t charac t erize the dig itiz ed sinusoidal is introduced. For instan ce, the amplitude has bounds [0, 5], the phase has the bounds [ - ] . W it h this construction in place, the fitted curve accurately ex tracts parameters from the measured data, especiall y the two phases that are used to calcula te the transit time dif ference. Fig. 4.10: F low chart for c o mputing the TTD . Read the CSV file of both directions DC of fset correction Estimate both directions freque n cies Estimate A and usin g the freque n cies mean value estimated previously Calculate the pha s e dif ference Calculate TTD Chapter 5 TTD -j itter Reduction 5.1. Intr o duction The purpose of samplin g and digitizing the t ransmitted and received ultrasonic signals is to perform advanced sign al processing and a ccurat ely ex tract the transient time diffe rence (TTD). The continuous signal waveform is defined on the basis of a set of time -discre t e samples over a specified period of time. How ever , clock jitter causes uncertaint y in the sampling time during t he data a cquisition of ultrasonic waves. This leads to random fluctuations in the corres ponding amplitude. Th erefore, th e recorded data are corrupted by noise and distortion. As the TTD is computed on the basis of a finite set of sampled data, such uncertainties in the sampling time produce random fluctuations of TTD measurements, known as the TTD -jitter . The TTD -jitter in flow measurement has a huge impact on its a ccuracy . It can be experimentally evaluated by repeatedl y performing the same me asurement and using the same measurement setup under the same conditions. This chapter investigates the TTD -jitter noise and its impact on the accur ac y of flow meter measurement result s. The approaches us ed in order to mitigate the TT D-jitter are also presented here . Chapter 5: TTD-jitter Re duction 43 5.2. The Effect of Sampling Jitter on T TD In the sampling-process, the sa mpling time unc ertainty (also c alled the sampling time jitter 5 ) is the random fluctua tions in time location of a given waveform sample. Corresponding l y , this un certainty in s ampling ti me introduces errors in the amplitude of the ultrasonic signal. As illust rated in Figure 5.1 , for a given sine wave of period T and pe ak - to -peak amplitude Vpp the sampling time j itter Δ t causes a change in the measured value equal to Δ V = Vpp π Δ t/T [ 46 ]. This contributes to the increase of the TTD -jitter . In the present application, the TTD -jitter refers to the dispersion of the measured TTD around the mean v alue (zero fo r no-flow). The latter is assumed to be a stationar y Gaussian noise, which means that the standard deviation does not change over ti me. The T TD-jitter is thus defined by the me an value and the standard deviation. Fig. 5.1: Effect of the sampling jitter on me asured value T y picall y , the transducers are excited by a sinus burst of 70 cyc les at 4 MHz frequency . The ex perimental results in Figure 5.2 sho w the last 19 periods of a transmitt ed signal superimposed upon each other . Fi gure 5.2.b s hows a magnification of Figure 5.2. a. Interestedly , this figure shows that for consecutive periods of a measurement, the z ero- crossings jum p f rom one period to the next period statis tically around the zero point. The Gaussian (or normal ) probability distribution function can be used to statisticall y character iz e the maximum time deviation of the periods around the zero point cau sed by the sampling time jitt er . The maximum time deviation of the 19 consecutive periods around the z ero point is abo ut 374 ps, which corresponds to 6 the standard deviations ( = 62.4 ps ). Note that t he standard deviation result is obtained by evaluating 19 time data 5 Not to be confused with the TTD - j itter. Chapter 5: TTD-jitter Re duction 44 samples around the zero point shown in F igure 5.2.b apply in g the pr obability densit y function . The time deviation of the periods increa ses with increa sin g number of time data samples. Fig. 5.2: T ime deviation of the periods ar ound the z er o point: (a) the last 19 periods of the tr ansmitted signal superimposed upon each other , (b) a magnified ar oun d the zer o point 5.3. Sour ces of TTD-jitter The TTD -jitter noise arises from many sources which contribute to th e measurement uncertainty . These sources are uncorrelated and may originate from an y where in the si gnal path from transmitting to receiving waveforms. Some of these sources are dedicated t o the electronics associated with the transducers such as [ 39 ]: transmitter wav eform phase noise or driving fre qu ency inst abilit y of the transmitted signa l due th e function generator jitter in the sampling instanc e that may occur due to imperfect sample-and-hold circuit sy n chronization crosstalk between the cables i rr egularities in the tra ns mission medium. Other noise sources such as the ef fects of the side lobes also contribute to the TTD -jitter . As shown in Fig ure 5.3, most of the acoustic ene rgy is transmitted perpendicularly from the piezoelectric disk. Th e main lobe is the lobe containing maxim um sound pressure. This Chapter 5: TTD-jitter Re duction 45 lobe is calculated b y finding the angl e at which the sound pressure is halved [ 47]. The acoustic wave directivit y 6 is temperature-dependent [48] , especially at the side lobes l evel, which increases from low temperature to high te mperature. This can enh ance the lev el of reverbera tion in the me asuring pipe, producing unde sired echoe s a ctin g as noise. This noise ma y corrupt the si gnal along th e signal pat h, causing errors in the measured transit time. Fig. 5.3 : An example of a sou nd dir ectivity pattern [47] 5.4. TTD -jitter R eduction T echnique Since the recorde d data of the received waveform are sampled with 50 MS/s, each period in the stead y -state r egion contains a round 13 sample points. The sine-fitting applied approac h adjusts Equ ation (4.6) to the s et of the r ecorded sampling data in order to extract the characterized parame ters of the trace, namel y its amplitude, phase, and the frequency . The followin g equation, obtained from Equ ation (4.4 ), is applied to compute the TTD using the upstream and downstream extracted phases ( , : (5.1) The precision to which the TTD is determined c an be influenc ed b y two para meters: the amplitude of the received signal and the number of the samples used in the fitting algor ithm. Concerning t he first parameter, there is a clear correlation be tween the TTD - 6 T he acoustic directivity descr ib es how the pressure o f a sound w a ve is trans mitted fro m a transducer . Chapter 5: TTD-jitter Re duction 46 jitter level and th e amplitude of the received signal in the quiet region. In other words, th e obtained TTD has a jitter that depe nds on the input d y namic ran ge of the acquisition system. This is optimi zed by adjusting the gain o f the two amplifiers (Figure 4.1), aiming to cover most of the inp ut range of the ADC. The results shown in Figure 5.4 (carried out at room temperature, no -flow condition, N = 250 fitted samples, and di fferent r eceiver voltage s 7 V RD1 and V R D2 ) suggest that the incr ease of the voltage hea droom in both directions reduces the TTD-jitter. The used ADC has 14-bit resolution and an input full-scale range of ±2 .5 V 8 . The least significa nt bit (LSB) voltage can be expressed as: (5.2) where N bit is the ADC ’ s resolution in bits and V FS R is the full-scale voltage range of the ADC. According to Equation (5.2), the ADC has a voltage resolution V LS B of about 300 µ V. The d y namic range of d ata acquisition system (DR), which is the ratio of the maximum input voltage V FS 9 (signal amplitude) to the minimum voltag e V LSB , can be expressed as: (5.3) Fig u re 5.5 illustrates the measurement pr ecision (represented by the standard devi ation) versus the d y n amic range of the acquisition system. Note that the stand ard deviations are calculated f rom TTDs of 50 captured ultrasonic w aveforms. It can be deduced on the basis of these results that high d y namic range of the acquisiti on s y stem can be achieved usin g a high gain amplifier to cover the input full-sc ale range voltage (V FSR = 5V) of the ADC, which results in very low TTD -jitter . 7 T he amplitude voltage s V RD1 and V RD2 are esti mated in the quiet region o f both directions of received signals using si ne-fitting 8 According to the datas heet of the used ADC (AD964 8) [49], it achieves SIN DR of 74. 3 dB, SNR of 75.4 dB, and ENOB of 12 -bit at 9.7 MHz. 9 V FS refers to the full -scale sin e w a ve of the received si gnal i n the quiet regio n. Chapter 5: TTD-jitter Re duction 47 Fig. 5.4: TTD measur ed at d iffer ent r eceiver amplitudes Fig. 5.5: The standard deviation of the transit time differ ence (TTD) versus the dynamic range of the acquisition system (N = 250 f itted samples) Chapter 5: TTD-jitter Re duction 48 As mentioned previously , the TTD -jitter can also be redu ced by in creasing the number of the signal samples that are used to a djust the sine-fitting para met ers. Since the noise present at each sampling sequence is uncorrelated, a given number of sa mples N reduce s the timing jitter values by a factor of (according to the averaging princip le). This can mathematically be expressed as: (5.4) where is the standard deviation error of the TTD (after averaging), σ is the standard deviation of the TTD, and N is the size of the samples. Fig u re 5.6 depicts a sin gle TTD measurement carried out at room temperature and no-flow conditions for dif ferent numbers of the fitted samples. Fig. 5.6: TTD r esults measur ed at d iff er ent num bers of fitted samples (N) Chapter 5: TTD-jitter Re duction 49 Fig u re 5.7 illustrates the measured TTD standard deviation (STD) versus the number of fitted samples as well as the theoretica l limits estimated using Equation (5.4). It can be deduced on the basis of these re sults that the measured TTD -jitter exhibits the same behavior as the calculated one. In other words, as the number of samples increases, the standard deviation of the measure d TTD decreases according to Equation (5.4). Fig. 5.7 : The standard deviation of TTD versus the number of fitted samples (N) Chapter 6 TTD -offset Cancella tion 6.1. Intr o duction As described pr eviously , in the ideal case when t here is no flow in the m easuring pipe the upstream and downstream transit times should be identical. However , in reality this is not the case as there are many factors that prevent the ult rasonic signals (see Section 4.1) from reac hin g the r eceivers after exactly the same traveling time. Hence, an y deviation of the measured transit time dif ference (TTD) from zero at no-flow conditions is referred to as a TTD -of fset. This TT D-offse t, which limits the minimum measured flow , p resents a s erious drawback in high accu racy measurements. Therefore, it is worthwhile to develop a theoretica l anal ysis which provides a better understanding of the TTD -offset sources and their contributions in order to develop a measurement strategy that allow s effec tive TTD - of fset compensation. 6.2. Sour ces of TTD-Offset In water flow meter applications, the environment temperature inside th e measuring pipe may var y from ambient temperature to 80° C. This leads to a variation of the transducer's resonance frequency , wh ich cannot withstand the change of the oper ating t emperature [19] [50-52 ]. However , according to the harmonic os cillation model 10 , if a pair of transducers has dif ferent resonance f requencies, then th e phas e dif ference between the two stead y-state parts of the received signals is diffe rent from zero as well. Figure 6.1 shows an ex ample of two phase responses versus the driving frequency . This two plots of pha se responses are obtained from the phase equation of the p articular solution of a damped driven harmonic oscillator (Equation 3.10) for two transducers wit h diffe rent resonance frequencies (for this example, the resonance frequencies a re fr 1 = 4 MHz and fr 2 = 4.05 MHz for the first 10 T he analytic m od eling of the piezo electric transducer disk d escribed in Chapter 3. Chapter 6: TTD-offset Ca ncellation 51 transducer and the seco nd transducer , re spectivel y ). The dif ference between these two phases is shown in Figure 6.2, where it c an be observed that within the resonance freque n c y ran ge the phase dif ference is si gnificantl y different from zero. Thus, the z ero flow er ror c an drift according to the temperature changes, whi ch can cause si gnificant TTD -of fset. Fig. 6.1: Phase r esponse versus drivin g fre quen cy f or two diff er ent transducers Fig. 6.2: Phase differ ence r esponse versus drivin g fr equency 6.3. The Impact of T emperatur e on the T ransducer Resonance Fr equencies In ord er to predict wh at ef fect temperature changes have on the series and parallel resonance frequencies of the 4 MHz transdu cer p air , the v ariation of transmitt er voltages (VTD 1 and VTD 2 ) with r espect to the driving freq uency is investigated experimentally (s ee Section 3.8). The ex periment allows to obtain an approximate determination of both freque n cies by estimating the max imum and the minimum transmitter amplitudes Chapter 6: TTD-offset Ca ncellation 52 measured at different t emperatures. This ex periment is carried out by ex citing the transducers with a sinus burst of 70 c y cl es at a s pecified frequency in the r ange b etween 3.8 MHz and 5 MHz. The results illustrated in Figures 3.23, 6.3, and 6.4 demonstrate the variation of transmitter volt age amplitudes in both directions me asured at ambient temperature ( 25°C), 60° C, and 80° C, respectivel y , with respect to the dri ving fr eque n cy . Note that the measuring pipe is heated usin g a thermostat. It can be de duced from the obtained results that th e frequenc y at which the amplit ude becomes mi nimal (minimum impedance) is close to serie s resonance fr equency f s , whereas the frequency at which the amplitude be comes maximal (maximum impeda nce) is close to the pa rallel resonance freque n c y f p . Howev er , b ecause the parameters of the two tr ansducers are n ot identical, the variation of both amplitudes is also not identical. The temperature dependence of the resonance frequencies of the pair of 4 MHz transducers is summarized in T able 6.1. Fig. 6.3: T ransmitter voltages versus driving fr equency measur ed at 60° C Fig. 6.4: T ransmitter voltages versus driving fr equency me asured at 80°C Chapter 6: TTD-offset Ca ncellation 53 T emperatu re [°C] Resonance frequency [ MHz] T ransdu cer 1 T ransdu cer 2 f s f p f s f p 25°C 4.02 4.615 4.01 4.595 60°C 4 4.49 3.96 4.475 80°C 3.97 4.465 3.925 4.43 T able 6.1: The depende nce of r esonance fr equen cies on temper atu r e As shown in Figure 6.5, the series f s and the parallel f p resonance frequencies of the used transducer pair decrease as the temperature goes up. Regardless of the mismatch between transducers, the variation of the resonance frequenc y with the operating tem perature r ange can cause a diss y mmetr y b etween th e two dire ctions of the ultrasonic si gnal paths. Thus, the temperature variation of the medium is the m ain reason for the zero f low TTD -offset drift. Fig. 6.5: The effect of temperatur e on the transdu cer r esonance fre quencies 6.4. Z ero F low TTD - offset Corr ect ion As mentioned before, in order to eliminate the possibilit y that th e mete r detects a false flow under no-flow conditions, the upstream and downstream transit times should ideally be the same, although this may not be the case unless special precautions are taken. Due to the fact that ever y flow di rection exhibits a slightly di fferent electrical impeda nce comp ared to the other, there is a dissymmetry b etween upstream and downstr eam si gnal paths [7] . This effect provides a different amount of currents flowing throu gh R 1 and R 2 (see Figure 4.1), and c auses dif ferent amplitudes in the upstream and downstream trans mitted signa ls. Fig u re 6.6 shows the result of the measurement ca rried out at room tempera tur e and Chapter 6: TTD-offset Ca ncellation 54 no-flow conditions. Both transducers are excited with the same sinus burst at 4 MHz forced freque n c y . The plotted curves show that the measured diff erence between the two amplitudes of the transmitted sig nals is about 250 mV. Fig. 6.6: Acquired ultrasonic signals in the upstr eam and dow nstream directions (me asur ed at 4 MHz driving frequency) By computing the ph ase shifts t1 and t 2 between the excitation and the sound wave on both transduc ers for transmitted sig nals, a delay time di fference of -2.4 ns is obtained between transmitted signals in both dire ctions. This relatively hig h starting de la y time differe n ce can be explained b y u pstr eam and dow nstream unmatched electrical impedance values, which le ad to the difference between t he two transmitter amplit udes (of about 250 mV). The 250 mV transmitter amplitude d ifference shown in Figure 6.6 r esults in about 150 ps zero flow TTD-offset. In ord er to effectivel y elimi nate TTD-offset at no -flow conditions, it is necessary to match the upstream and downst ream electrical impedance of both tr ansducers and their associ ated electronic to reach a highly s y mmetri cal signal p aths. According to t he literature [25] , the electrical im pedance of a transduc er can b e controlled b y a d riving frequenc y. We hav e used this fea ture to eliminate the electrical impedance mismatch betwee n both directions because a well-mat ched upstream-downstream signal path r educes the transmitter amplitude differe n ce and results in a ver y small zero flow TTD-o ffset. By changing the sinus burst frequenc y from 4 MHz to 4.19 MHz, the 150 ps zero flow TTD -of fset measured pr eviously is subst antially reduced to less than 5 ps (Figure 6.7). Moreover , comparing the amplitudes of the transmitted signals depicted in Fig ur es 6.6 and 6.7, it can be observed that the dif fe rence between the two transmitter amplitudes is reduce d from 250 mV measure d at 4 MHz to less than 15 mV , which is achieved by exciting th e transducers at 4.19 MHz driving frequenc y under the pr eviously mentioned Chapter 6: TTD-offset Ca ncellation 55 conditions. In addition, the dela y time di f ference of -2.4 ns achieved bet ween tr ansmitted signals in both dir ections at 4 MHz is reduced to -664 ps at 4.19 MHz driving fr equency . Therefore, choosing an appropriate driving frequency withi n the resonance frequency range of th e tr ansducer is the key to canc el the long-term d rift of the TTD c aused by temperature varia tions. Fig. 6.7: Acquired ultrasonic sign als in the upstr eam and downstr eam dir ections (measur ed at 4.19 MHz driving fr equency) Fig u re 6.8 shows TTD measurement results obtained in a d riving frequency r ange from 4 MHz to 5 MHz with 5 KHz step variation at room temperature and no-flow condition s. The result shows that withi n the resonanc e frequency range of the two transducers TT D- of fset compensation c an be achieved at 4.185 MH z driving frequenc y . Figures 6.9 and 6.10 repre s ent the same measurements as before carried out at 60°C and 80 °C tempera ture, respec tivel y , and they cl early sho w that these TTD -of fsets compensation are achieved at dif ferent driving frequen cies (about 4.095 MHz f or 60°C and about 4.075 MHz for 80° C) due to the f act that th e resonance frequen c y of th e transducer is changing as a function of temperature as well. Fig. 6.8: TTD versus driving f r equency measur ed at ambient temperatur e Chapter 6: TTD-offset Ca ncellation 56 Fig. 6.9: TTD versus driving fr equency measur ed at 60°C Fig. 6.10: TTD versus driving fr equency measur ed at 80°C To sum up, fo r a successful TTD -of fset compensation it is necessar y to adopt the two following strateg i es: • Of fline TTD -of fset calibration must be performed in the manufacturing process in order to provide a table with driving frequencies and their corresp onding temperature within a tempera tur e range from ambient temperature to 80°C. • Online TTD-offse t calibration must be performed with control algorithms that use adequate d riving frequenc y suitable to compens ate the TTD -of fs et according to the measure d t emperature inside the measuring pipe. Chapter 6: TTD-offset Ca ncellation 57 6.5. T em peratur e De pendence of the TTD -o ffset Ca li brat ion As mentioned before, choosing an appropriate dri ving frequenc y can d rasticall y reduce the zero flow TTD-of fset. T o attain automatic comp ensation, one needs to accurately set a suitable driving frequency to eliminate the TTD -of fset caus ed b y the temperature variation inside the pipe. I n o rder to ensure repeatabilit y or precision of the drivin g freque n c y used to compensate the TTD -of fset, several experimental mea sur ements are performed over three months at four randoml y chosen temperatures (35°C, 60°C , 70°C, and 80°C). These experiments have lead to the results illust rated in Fig u res 6.1 1 and 6.12, where the heatin g up and cooling down of the pipe is done by means of a thermostat. As it can be seen in Fig u re 6.1 1, the first experiment starts b y a djustin g the t emperature inside the pipe to 35°C; the calibration of the TTD -of fset to zero is reached at 4.153 MHz driving frequency . While maintaining the same driving frequenc y , the heating up of the pipe to 80°C increases the TTD -of fset to about 270 ps. B y chan ging the driving frequenc y from 4.153 MHz to 4.075 MHz, the TTD-offset is calibra ted once again to nearly zero value. The cooling down of the pipe from 80°C back to 35°C at the same driving frequency d ecreases the TTD - of fset to about -320.3 ps, while the TTD -of fset reache s again zero at the same starting excitation frequency (4.153 MHz) since in that moment the measured temperature inside the pipe is again 35°C. The relativel y hi gh m easured TTD -jitter that can be seen clearl y in the measured plots, especiall y at 35°C, can b e ex plained by th e fact that a fu ll -scale voltage range of the ADC is not reached completel y . This happens because the rece ived si gnal attenuation is normall y proportional to the viscosity o f the water , whic h decreases with increasing temperature. Therefore, the gain of the amplifier is controlled by four resistance s (see Fi gure 7.1) in order to brin g th e received signal to a l evel that is high enoug h to resist the attenuation that it will be subjected to. The same setup is used to perform the second ex periment, apart from the fact that the maximum reac hed temperature is 60°C instead of 80°C. I t can be se en from Figure 6.12 that heating up and cool ing down the pipe from 35°C to 60°C and from 60°C to 35°C, respec tivel y , provides TTD-of fset values that var y between -220.3 ps and 338.8 ps. Chapter 6: TTD-offset Ca ncellation 58 Fig. 6.1 1 : TTD measur ements performed over a temperatur e range fr om 35°C to 80°C Fig. 6.12: TTD measur ements performed over a temper a tur e range fr om 35°C to 60°C The results showing th e temperature dependence of the driving frequenc y are obtained in five measurements carrie d out over a three-month period (see Table 6.2 an d Figure 6.13). Chapter 6: TTD-offset Ca ncellation 59 Taking in consideration the suppression of the zero flow error, it can be noticed that the driving frequenc y at whi ch the two transdu cers are excited is strongly inf luenced b y the temperature. Therefore, we have shown that the re is a cle ar , simple, sta ble, and reliable relation between the required excitation force d f requency and temperature. Note that the measured driving frequencies with respect to the temp erature reported in Table 6.2 cha n ge from one pair of the transducers to the other. T emperatu re [°C] Driving frequency [MHz] 1 st measurement 2 nd measurement 3 rd measurement 4 th measurement 5 th measurement 35°C 4.152 4.153 4.151 4.154 4.152 60°C 4.098 4.098 4.097 4.096 4.097 70°C 4.088 4.089 4.088 4.087 4.085 80°C 4.076 4.073 4.073 4.072 4.071 T able 6.2: T emperatur e dependence of the driving fre quency Fig. 6.13: T emperatur e dependence of the driving f r equency used for the ze r o flow TTD -offset c o mpensation Chapter 7 Results and Analysis 7.1. Intr o duction In this chapter , we demonstrate a pra ctical application of the de veloped measure ment methodology described in the previous chapter . Hence, the electronic s y stem design introduced in Chapter 4 and the software algorithm used for signal proce ssing are described in more detail. Afterwards, the experimental results are presented an d analy zed. This analy sis allows to highlight the robustness of TTD -jitter redu ction and TTD -of fset correction methodologies, developed in this thesis. Note that all measurement results reported in this chapter a re performed at no-flow conditions withi n a specifie d temperature range from ambient temperature to 80°C Fig u re 7.1 illustrates the electronic instrumentation sy stem utiliz ed to perf orm the ultrasonic measurement with significantl y improved accuracy . The designed electronics and the software al gorithm written in Matlab are capable of handling automatic measurement repetition, providing all c ontrol s ub-programs, namely , the control of the function generator and analog discovery device. Chapter 7: Resu lts and Analysis 61 Fig. 7.1: Block diagram of the experimental setup 7.2. Hard war e Design The hardware elements of the ex perimental setup presented in Figure 7.1 are: • An arbitrar y waveform genera to r , which generates a sinusoidal burst of a finite number of cyc l es in order to excite the transducers. • A pair of 4 MHz transducers located in the flow meter pipe, which are capable of transmitting and receiving an ultrasonic signal. • DC source to power the low -noise amplifiers, whic h are us ed to amplify the voltage levels of the tw o received si gnals. Amp lifiers gain is controlled by four resistors R 3 , R 4 , R 5 , and R 6 in order to reach 5 V full -scale voltage of the A DC. • Digital oscilloscope, which has dual -channel, 14-bit ADCs for digital signal acquisition. • An embedded (PC) software algorithm written in Matlab handles automatic TTD measurement repe titi on. • Additionally , th e flow meter pipe is put in a wa ter bath with a thermost at to regulate the temperature of the transducers at given levels, assuming that the temperature of the transducer c an be considered t o be the same as the temperature of still water filling in the pipe. Chapter 7: Resu lts and Analysis 62 7.3. Soft ware Algor ithm Completely automatic m easurement process is achieved through the dev eloped software algor ithm, which is used to automate manual tasks such as the configuration of the function ge n erator and the digital oscilloscope to output the desired si gnal and save numeri cal data, respec tivel y . The algorithm is also used to compute TTD and compensate the TTD -offset error if necessary . This automatic procedure is summarized in Fi gure 7. 2, and it mainl y consists of the following four sub-algorithms: Fig. 7.2: F low chart of the automatic me asu r ement r epetition • A sub -algorithm controls the arbitrary wavefor m gene rator in order to generate sinusoidal burst. • A sub- algorithm controls the two 14-bit ADCs i n order to digitize the u pstream and downstrea m si gnals. • The sub-algorithm described in Section 4 .6 is u sed to compute the TTD. The proposed method described in Chapter 5 is applie d to attain reduced TTD-j itter . • The last sub-algorithm is used to check whether the TTD-offset tends towa rds zero value or not. T ransmit the sinusoidal burst Digitize the two direction sig n als Determine the shift pha ses of both rece ived si gnals using the LSSF , and cal culate th e TTD through the ph ase di f ference between the received signals Of fset adjustment Chapter 7: Resu lts and Analysis 63 o If the TT D-offse t is not approximatel y equal to zero, the adjustment of th e TTD -of fset to z ero is performed by choosing an appropriate excitation freque n c y (se e Section 6.5), which is cap able of avoiding the TTD-of fs et error . 7.3.1. T rans mission of the Sinu soidal Burst A sinusoidal burst of 70 c yc les simultaneousl y ex cites the two transducers ov er a time period of 100 ms at a driving f requenc y of 4 MHz (17.5 µs burst len gth) after the power up of the system. The automatic configuration of the arbitrar y waveform generator is performed usin g the algorithm shown in Figure 7.3. The transmission procedure starts b y opening the seria l port so that the communication betwee n the P C and the function ge n erator can be enabled. All burst signal parameters (function, amplitude, frequency , the number of c ycles, and period) must be specified i n the program in order fo r them to be sent to the function generator through the serial port. Fig. 7.3: Configuration of the function generator 7.3.2. Digitizing t he T w o Dir ection Sig nals The two 14-bit ADCs of the digital oscillosco pe operate up to 100 MHz maximum sampling rate. The trigger controls en able us to capture a stable waveform to be digitized and saved into a file containing numerical data regarding time and amplit ude. One of the channels is used as a trigger source, wh ere the tri gger level and slope controls provide the Open the serial port Initialize the func tion ge n erator Burst func tion: S IN Burst frequency : 4 MHz Number of burst cy cles: 70 Burst amplitude: 20 V Burst per iod: 100 ms Chapter 7: Resu lts and Analysis 64 basic trigger point definiti on. Therefore, th e slope control, whi ch determines whether the trigger point is on the rising or the falling edge of the indicated signal, must be indicated in the control software al gorithm depicted in Figure 7.4 in such a wa y that the s y stem can deliver direct digital signals via the two i nte grated USB pow ered ADCs. The c apture of a single-shot waveform is controlled b y tri ggering; thereafter , th e pe rformed acquisitions are transferred to the PC in C SV format via USB with the maximum sample storage length of 8192 samples in order to be processed in Matlab. Fig. 7.4: The acquisition of both dir ection signals 7.3.3. TTD-Offse t Ca ncellation Algorit h m The TTD -offse t compensation strategy presented in Chapter 6 can be accomplished automatically by using an alg orithm. This compensation is done with re spect to the temperature of the mediu m around the transduc ers (see Section 6.5) in order to extract the required d riving frequency th at corresponds to the temperature of the me dium (T able 6.2) so that the TTD -of fset err o r c an be compensated. Choosing of the correct drivin g Power up T ri gge rin g activated ? fr e que n c ies T ri gge r configuration Y es No Start the acquisition Saving and exporting data Chapter 7: Resu lts and Analysis 65 freque n c y can be done a ccurately by first determini ng the temperature of the water inside the measuring pipe. The measurement software system includes a conceptual TTD -of fs et compensation algorithm depicte d in Figure 7.5, which allows continuous detec tion and compensation of the zero flow TTD -of fset error . Fig. 7.5: Com p ensation of the TTD -offset The TTD -o f fset compensation algorithm is exec uted im mediatel y after computing the TTD. This al gorithm starts by comparing the ob tained TTD v alue to zero. If the TTD- of fset is almo st equal to zero, the n ew st atus information (drivin g frequenc y ) is stored in the PC buf fer to be us ed to excite the transduce rs again (i.e., it is the return to the transmission of the sinusoidal burst sub-algorithm). However , if the TTD -o f fset is differe nt from zero, the adjustment of the TTD -of fset must be performed by choosing the correct Start the TTD-of fset adjustment TTD -of fset 0 ? Y es No Determine the driving f requency accor din g to the measured temperature from the T able 6.5 Measure the temperature inside the pipe Excite the transducers using the new driving freque nc y Save status Return Return Chapter 7: Resu lts and Analysis 66 driving frequenc y that corre sponds to the measured water temperature around the transducers. This drivin g frequenc y , which can be used as new tr ansmission frequenc y , is obtained from T able 6.2. Thereafter , the new driving frequenc y is stored and used to excite the transducers (i.e., it is the return to the transmission of the sinusoidal burst sub- algor ithm). 7.4. TTD -offset C ompensation E valuation In order to evaluate the of fset compensation described in Chapter 6, the measurements are carr i ed out using a 4 MHz flow meter pipe at no-flow conditions. As mentioned above, the two received signals are sampled at 50 MS/s, around 13 samples per period. Si nce the TTD -jitter can be reduce d b y a factor of (see Section 5.4), the TTD value is evaluated on the basis of 250 samp les taken from th e last 20 cycles in the ste ad y-stat e region fo r both rece iv ed si gnals. For ea ch measurement setup, the TTD is compute d seve ral times with a repetition rate of about 1.6 s . Fig ure 7.6 shows that at 35°C when the transducers a re excited at 4 MHz driving fr equency , the average v alue of TTD-offse t is approximatel y −370 ps and the value o f peak - to -peak TTD -jitter is 30 ps. Th e TT D-jitter me asurement precision, which refers t o the standard deviation, is about 6 ps. The stan dard devi ation is calculated from TTDs of 250 captured ultrasonic waveforms. I n order to check the validity of our TTD-of fset cancellation method, the first chosen 4 MHz frequency is chan ged to 4.153 MHz according to T able 6.2, considering t hat the tempe rature inside the measurin g pipe is 35°C. Therefore, the measured -370 ps TTD-of fs et value is reduced to almost zero as shown in Figure 7.7. Since the dy namic range of the acquisition sy stem considerably influences TTD-jitt er performance , it is n ecessar y to use controllable gain amplifiers in order to reach the maximum amplitude of the received si gnal and therefore to cover input full -scale range voltage (V FS R = 5V) of the ADC. However , as expected, the two voltage amplitudes measured in the quiet r egion o f both received si gnals increase along wit h the temperature due to the fact that the viscosit y of water decrease s as the temperature goes up. This can be deduced from the r esults shown in Figure 7.8. This test is performed by changing the temperature of the ther m ostat from 80°C to 35°C. Chapter 7: Resu lts and Analysis 67 Fig. 7.6: U nco mpensated zer o flow TTD - offset measur ed at 35°C Fig. 7.7: C o mpensated zer o flow TTD - offset measur ed at 35°C Chapter 7: Resu lts and Analysis 68 Fig. 7.8: T wo re ceived amplitudes measur ed over a temperatur e range fr om 80°C to 35°C 7.5. The Effect of T em peratur e on TTD -off set Measur em ents Since the temperature is the main cause of the TTD -of fs et, additional TT D measurements are carried out at different tempera tures (ambient temperature , 60°C, and 80°C), always using the 4 MHz flow meter pipe. The first result is illustrated in Figure 7.9, where the TTD measurements ar e performed continuousl y over 6 hours at ambient temperature, and the zero flow TTD-o f fset is adjusted onl y at the b eginning b y appl y ing a driving frequenc y of about 4.180 MHz. In this result, the deviation from z ero of the TTD -offset value is less than 50 ps ove r the whole measurement ti me. This is due to about 3 to 6° C variation o f th e ambient tempera tur e during the measurement period. Under the same conditions as shown in Figure 7.9, ex perimental m easurements are performed at dif ferent ly -regulated temp eratures. Fig u res 7.10 and 7.1 1 depict the TTD measurements performed at 60°C an d 80° C, respectively . According to T able 6.2, the TTD - of fset cancellation is reached by settin g the driving f requencies to 4.098 MHz at 60°C and 4.075 MHz at 80° C. As mentioned previously (see Section 7.4), the relatively high peak- to - peak TTD -jitter of 30 ps measured at 35°C can be ex plained by the fact that the received signals are not amplified enough to cove r the d yna mic range of the of the acquisition system. However , the peak- to -peak TTD-jitter is reduce d to 20 ps and 15 ps when Chapter 7: Resu lts and Analysis 69 measured at 60°C and 80° C, respectively . This is due to the fac t that the received signal attenuation is proportional to the viscosit y of the water , which decreases with increasing temperature as shown in Figure 7.8. The stand ard deviation (calculated fro m TTDs of 250 captured ultrasonic w aveforms) of the TTD-jitt er decreases from 6 ps at 35°C to 4 ps at 80° C. Fig. 7.9: TTD measur ements performed over s ix hours at ambient temperatur e Fig. 7.10: TTD measur ements performed at 60°C Chapter 7: Resu lts and Analysis 70 Fig. 7.1 1 : TTD measur ements performed at 80°C 7.6. Discu ssion The transducers suf fer from variations in their character istic pa rameters such as static capacitance , electrical impedance, and resonance frequenc y th at is temperature dependent, as demonstrated b y the ex perimental measurements shown in Section 6.3. Furthermore, th e exact value of the transducer wo rking reson ance frequenc y depends on the input impedance when the tran sducer acts as a transmitter and on the output impedanc e when the transducer acts as a rec eiver . On the other hand, u nder the sam e input or output im pedance conditions the variation of the tempe rature changes the transducer resona nce frequenc y as well. The validity of the proposed methodolog y is checked b y evaluatin g the variation of the transducer ’ s resonan ce frequencies and the driving frequency , which is used to adjust the TTD-of fset with respect to the temperature changes ( Figures 6. 5 and 6.13) . These results show that an increase in the tempe r ature leads t o a d ecrease in the re sonance freque n c y o f the transducer and th e driving frequency at which the TTD -of fs et can be compensated. Mor eover , the long-term stabilit y of the driving f requenc y us ed to adjust the TTD -of fset error has bee n ex perimentally proved at four dif ferent temperat ures. As shown in T able 6.2, the variatio n of the drivin g frequency , which is used to comp ensate the T TD- of fset, is less than 4 Hz at the same temperature of the medium around the transducers. Chapter 8 Conclusion The main goal of this thesis is to improve the performance accurac y of the ultrasonic transit time flow meters . This work also provid es a detailed description of the theoretical development and the experimental validation of the ultrasonic s y stem and develops a new water flow measurement approach that solves t he TTD -jitt er and TTD -offse t probl ems raised by the ultrasonic flow meters. Th e thesis starts with a proposal for the anal y tic modeling of the pi ezoelectric tr ansducer disk. This proposal was borro wed from damped driven harmonic oscillat or theor y . By inv estigating the amplitude and phase responses of the volt age across the resistive element of the transducer's electric al model, which repre s ents the energy tra nsferred to the water , it is found that the harmonic oscillator model is highl y suitable to effec tivel y capture the electrical behavior of t he piezoelectric transducer disk, the most critical part of the ultrasonic water flow meter . The numerical solution of the second order differe ntial equ ation of damped harm onic force d s y stem includes the transient or the homogeneous solut ion and the stead y -state or the particular solution. This steady-state can be reached onl y b y ex citing the transducer for a suf ficientl y lon g time period. W e have deduced through these solut ions that the accuracy of the flow meter can be further improved if we rely on the pa rticular sol uti on instead of the homogene ous one. This stead y-state part of the si gnal is characterized by a fixed amplitude, a phase shift, and a freque n c y that mat ches the driving frequency . Therefore, the TTD is measured as the phase diffe r ence between the r eceived signals in both directions. Further mo re, the phase shifts on both transducer for the received signals are estimated in the stead y-state parts o f the signal s using th e least square sine -fitting, which filters out all the noise relate d to the si gnal digitization carried out by the two 14-bit AD Cs. Chapter 8: Conclu sion 72 The second development established through this work is the TTD -jitt er reduction approac h, which consid erably enhances TTD -jitter performance. As it can be inferred from the experimental results, the standard deviation of the TTD -jitter is reduced drastically b y using the sine-fitting tec hnique. Furthermore, the system ac curacy is carried out one step further b y exploring two techniques, nam ely , emplo y ing low -noise amplifiers to improve the ac quisiti on system dy namic range and usin g an ade qu ate number of sample s in a specific time interva l (st eady-state re gion). Another achievement of this stud y is the extension of the TTD -jitter reduction technique to TTD -of fset cancellation, which also degrades the ultrasonic flow meters. A novel approach to the problem has been deve loped to cancel the long-term zero flow TTD -offse t drift caused by temperature variations. This approach is based on the principle th at continuousl y adjusting the driving f requency nearb y the resonance wor kin g area of the transducers reduce s the zero-flow TTD -offset to zero. The TTD -o f fset dependence of the for ced freque n c y finds a sim ple explanation in the theor y of the oscillator: if the f orced frequenc y is in the range b etween the respective resonance frequencies, a slight shift of the frequenc y produces an increase or a decrease in the amplitudes of the transmitted acoustic waves. Choosing a correct forced frequenc y according to the temperature of the medium can adjust the amplitude of the transmitted signals and c ompensate the TTD -of fset. The robustness of the zero flow TTD -of fset cancellation methodolog y is experimentally validated in harsh conditi ons, such as high t emperatures(up to 80°C). . Bibli og raphy [01] M. Sc. Y aoy in g Lin, “Signal processing and ex perimental technolog y in ultrasonic flow measure m ent”, Ph.D. dissertation, Duisburg Univ ., Essen, 2004. [02] J. Y oder , “Ultrasonic flo w meters in the ener gy measurement spotlight”, Pipeline and Gas J ., vol. 236, no. 7, pp. 20-28, Jul. 2009. [03] M. Kupnik, A. Schröder , and P. O’Leary , “Adaptive pulse repetition fr equenc y technique for an ultrasonic tra nsit- time g as flow meter for hot pulsati ng gases”, IEEE. Sensor J ., vol. 6, no. 4, pp. 906-615, Aug. 2006. [04] J. Berribi, “Self -diagnosis techniques and their applications to error re d uction for ultrasonic flow measurements”, Ph.D. dissertation, Luleå Univ ., Sweden, 2004. [05] J. R ey es, and A. Acevedo, “Simulation and experimental validation of a transit time in an ult rasonic gas flow meter using air ”, in Pr oc. conf. IEEE. ANDESCON , Bogota, Colombia, Sep. 2010, pp. 1-6. [06] P. Lunde , M. Vestrheim, B. Reidar, S. Smorgrav, and A. K. Ab rahamsen, “Reciproc it y and its uti lization in ult rasonic flow meters”, in Proc. 23 rd Int. North Sea Flow Measurement W or kshop , Tønsberg, Norway, Oct. 2005, pp. 18 – 21. [07] P. L unde, M. V estrheim, B. Reidar , S. S morgra v , and A. K. Abrahamsen, “ R eciproca l operation of ultrasoni c fl ow meters: criteria and applications”, in Pr oc. Conf . IEEE Ultrasonics Symp ., New Y ork, USA, Oct. 2007, pp. 381 – 386. [08] S. B allantine, “Reciprocity in e lectromagnetic, mec hanical, acoustical, and interconnec t ed s ystems”, in Pr oc. Inst. Radio En grs ., New Jersey , USA, vol. 17, no. 6, Jun. 1929, pp. 929-951. [09] W. R. Mac Lea n, “Abso lute measure ment of so und without a primary standar d”, Acoust. Soc. Am. J ., vol. 12, J ul. 1940, pp. 140-146. [10] L. L. Foldy , and H. Primakoff, “A general theor y of passive linear ele ctroacoustic transducers and the elect roacoustic reciprocit y th eorem. I”, Ac oust. Soc. Am. J ., vol. 17, Oct. 1945, pp. 109-120. Bibliography 74 [1 1] E. M. McMillan, “V iolation of the reciprocity theo rem in li near passive electromechanical systems”, Acoust. Soc. Am. J ., vol. 18, Oct. 1946.pp. 344-347. [12] L. L. Foldy , and H. Pri makof f, “A general theo ry of passive linear elec t roacoustic transducers and the electroacoustic reciprocit y theorem. II”, Acoust. So c. Am. J ., vol. 19, Jan. 1947, pp. 50-58. [13] R. J. Bobber , “General reciprocit y parameter”, Acoust. Soc. Am. J ., vol. 39, no.4, Apr . 1966, pp. 680-687. [14] F. V. Hunt, “ he anal ysis of transduction and its historical back ground” , 2nd ed., Harvard Univ . P ress, Aco ust. Soc. Am., New Y ork, 1982. [15] J. Hemp, “I mprovements in or relating to ultrasonic flow meters”, Patent UK2017914 A, 1979. [16] M. L. Sanderson, and J. Hemp, “Ultrasonic fl ow meters – a r eview of the state of the art”, in Pr o c. Conf. on advances in flow measur ement techniques , W arw ick Univ ., UK, Sep. 1981, pp. 157-178. [17] J. Bor g, “On electronics for me asurement s y st ems”, Ph.D. dissertation, Dept. Elect. Eng., Luleå Univ ., Swed en, 2010. [18] J. Bor g, J. Johansson, J. V. Deventer , and J. Delsing, “Rec ipro cal operation of ultrasonic transducers: ex perimental results”, in Pr oc. Conf . IEEE Ultrasonics Symp ., New Jersey , USA, Oct. 2 006, pp. 1013-1016. [19] Y. Bo, C. Li, and L. Y upin, “ orced os cillation to reduce zero fl ow error and thermal drift for non-reciprocal operating liquid ultrasonic fl ow meters”, Flow Meas. Instr . J ., vol. 22, Aug. 201 1, pp. 2 57 – 264. [20] F. M. Birleanu, “Design of RP A representation space s for the anal y sis of transient signals”, Ph.D. dissertation, Grenoble Univ ., France, 2006. [21] M. L. Sanderson, and H. Y eung, “Guidelines for the use of ultrasonic non-invasive metering t echniques”, Flow Meas. Instr . J ., vol. 13, Aug. 2002, pp. 125 – 14 2. [22] W . D. Barber , J. W. Eberhard, and S. G. Karr , “A New T ime Dom ain T echnique for V elocit y Measurements Using Doppler Ultrasound”, IEEE. T rans. Biomedical Eng ., vol. BME-32, no. 3, pp. 213-229, Mar . 1985. [23] Y. Bo, and C. L i, “High -speed and pr ecise measurement fo r ultrasonic li quid flow metering bas ed on a single PGA”, in Pr oc. Conf . IEEE Instr . Meas. T echno., Singapore, May 2009. pp. 309 – 312. Bibliography 75 [24] N. C. T emperle y , “Optimisation of an Ultrasonic Flow Meter Based on Ex perimental and Numerical I nvestigation o f Flow and Ultrasound Propa gation”, Ph.D. dissertation, New South W ales Univ ., Australia, 2002. [25] H. D. Al -Budairi, “Design and analy sis of ultrasonic horns operating in longitudinal and torsional vibration”, Ph.D. dissertation, Glasgow Univ ., Scotland, UK, 2012. [26] C. Rosen, B. Hiremath, and R. Newnham, “Piezoelectricit y ”, American Institute of Physics, New Y ork, USA, 1992. [27] ”IEEE Standard on Piezoelectricity”, The I nstitut e of Electrical and Elec tronics Engineers, Inc., New Y ork, USA, 1988. [28] P. Ac evedo, and I. S. Domíng uez, “Simulation of an Ultrasonic T ransducer for Medical Applications Using the Finite Element Method”, Mater . S ci. Eng. J. , vol. 7, Aug. 2015, pp. 293-297. [29] J. Kocbach, “ inite Element Modeling of Ultr asonic Piezoelectric ransducers”, Ph.D. dissertation, Berg an Univ ., Norway , 2000. [30] D. R. Fra n ca, C. K. Jen, a nd Y. Ono, “Contrapropaga tin g Ultra sonic Flow meter Using Clad Buf fer Rod s for High T emperature measurement”, Dynamic System Measur ement and Contr ol. J. , vol. 133, no. 1, J an. 201 1, pp. 7-13. [31] G. Kossof f, “Ef fects of Bac kin g and Matchin g on the P erformance of P iezoelectric Ceramic ransdu cers”, IEEE T rans. Sonics and Ultrasonic , vol. 13, no. 1, Mar . 1966, pp. 20-30. [32] M. Goldfarb, and N. Celanovic, “Modelin g Piezoelectric Stack Actuators f or Control of Mi cromanipulation”, IEEE C ontr ol Systems J ., vol. 17, no. 3, Jun. 1997, pp. 69-79. [33] F. W ein, “ opolo g y O ptimiz ation of Smart Piezoelectric ransducers”, Ph.D. dissertation, Erlangen-Nürnber g Univ ., German y, 201 1. [34] J. David, and N. Cheeke, “ undamentals and A pplications of Ultrasoni c W aves”, CRC Press L CC, Montreal, Qc, Canada, 2002, ch. 2, pp. 14-38. [35] J. M. Friedt, and É. Carry , “Introduction to the quartz tuning fork”, Am. Phys. J., vol. 75, No. 5, May 2007, pp. 415 – 422. [36] J. Ramon, G. Hernandez, and J. Bleakey , “ L ow -Cost, W ideba nd Ultrasonic T ransmitter and Receiver for Ar ray Signal Processing Applications”, IEEE Sensors J ., vol. 1 1, no. 5, Ma y 201 1, pp. 1284-1292. Bibliography 76 [37] E. Storheim, P. L unde, and M. V ertrheim, “Diffr action Correc tion in Ultrasonic Fields for Measurements of S ound V elocit y in Gas. Conventional and Alternative Methods”, in Pr oc. 34th Scandinavian S y mposiu m on P hy sical Acoustic, Jan. 30- Feb. 2, 201 1, pp. 1 – 27. [38] W. C. Zarnstorf f, C. A. C astillo, and C. W. C rumpton, “A phase-shift ultrasonic flow meter”, IRE T rans. Bio-Medical Electr onics , vol. 9, no. 2, J an. 1962, pp. 199 – 203. [39] F. C. Alegria”, Bias of a mplitude estimation using thr ee-parameter sine fi tti ng in the presence of a dditive nois e”, Meas. J ., vol. 42, J un. 2009, pp. 748-756. [40] J. Šaliga a, I. Kollár , L. Mi chaeli, J. Bušaa , J. Liptáka , and T. V iro sztek, “A comparison of least squares and max imum likelihood methods using sine fi tting in ADC testing”, Meas. J ., vol. 46, Dec. 201 1, pp. 4 362 – 4368. [41] V. Dumbrava, and L. Sv ilainis, “ he Automated C omplex Impeda nce Me asurement System”, Electr on. Elec. Eng. J ., vol. 76, no. 4, Mar . 2007, pp. 59 -62. [42] F. d. Silva, P. M. Ramos, and A. C. Se rra, “A n ew four p arameter sine fi tting technique”, Meas. J ., vol. 35, Mar . 2004, pp. 131 – 137. [43] P. M. Ramos, F. D. Sil va , and A. C. S erra, “Improving sine-fittin g algorithms for amplitude and phase measurements”, in P r o c. XVII IMEKO W orl d Cong ress, Dubrovnik, Croatia, Jun. 22 – 27, 2003, pp. 614 – 619. [44] P. M. Ramos, F. d. Silva, and A. C ruz Serra , “Low frequenc y im pedance measurement using sine- fi ttin g”, Meas. J ., vol. 35, J an. 2004, pp. 89 – 96. [45] P. M. Ramos, and A. C. Serra, "A new sine- fi tting algorithm for accurate amplitude an d phase measur ements in two channel acquisition s ystems”, Meas. J ., vol. 41, Feb. 2008, pp. 135 – 143. [46] P. A. Picot, “Blood Flow V isualiz ation and Flow Rate Estimation with Colour Doppler Ultrasound”, Ph.D. dissertation, W estern Ontario Univ ., Canada, 1997. [47] H. Øberg , “Ultrasound sensor for biomedical applications”, M.S. thesis, T romsø Univ ., Norway , 201 1. [48] P. L unde, K. E. Frøysa, and M. V ertrhe im, “GERG Project on Ultrasonic Gas Flow Meters, Pha se II ”, GERG T echnical Monograph, Norway , 2000. [49] Analog Devices Data sheet , Analo g Devices, Inc., USA, 201 1-2015. [50] V. Petkus, A. Rag auskas, and P. Borodicas, “ emperature dependence of a piezoceramic transducer electric impedance”, ULTRAGARSAS J ., vol. 56, no. 3, 2005, pp. 22 – 25. Bibliography 77 [51] P. Fletcher -H a y nes, “Method and apparatus for correcting temperature variations in ultrasonic flow meters”, Patent US5831 175, 1998. [52] R. J. Hazelden, and K. P. F. Smith, “Improvements in fluid mo nitori ng”, Patent WO 2004070358, 2004. Why institutions use Plag.ai for originality review, entry 39 Plag.ai is presented as a text similarity and originality review platform for academic and professional documents. 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