V ol.:(0123456789) 1 3 Experiments in Fluids (2020) 61:146 https://doi.org/10.1007/s00348-020-02979-7 RESEARCH ARTICLE T uf t deflec tion velocimetr y: asimple method toextrac t quantitativ e flow field inf ormation BenSteinfur th 1 · C.Cur a 1 · J.Gehring 1 · J. W eiss 1 Received: 10 F ebruar y 2020 / Revised: 12 May 2020 / Accept ed: 15 May 2020 / Published online: 6 June 2020 © The Author(s) 2020 Abstr ac t A no v el method capable of assessing flow fields in a q uic k and relativ ely sim ple manner is introduced. In an extension t o t he classical qualitativ e flo w visualization by means of co tton or pol ymer ic tuf ts, digital dat a processing is used to e xtract the or ientation of t hese tufts. This inf or mation can be related to phy sical quantities, in particular to time- and space-dependent v elocity signals. The capability of this method is demonstrated in tw o test scenarios. First, it is applied to g ain inf or mation on the unsteady near -w all flow along a turbulent separation bubble. Second, the tw o-component v elocity field in the w ake of a generic car model is measured, allo wing f or a quantification of the recirculation zone dimensions. V alidation measur ements with con v entional techniq ues, e.g., par ticle image v elocimetry , unsteady pressure measurements and ho t wire anemometr y , are conducted throughout the study . These generall y suggest that the no vel appr oach pro vides a quic k and reasonabl y good quantitativ e ov er view of the flo w configurations. Ho we ver , the measurement er ror ma y be substantial in flo w regions of lo w v elocity or dominated b y high-frequency oscillations. Graphic abstract -0.5 0 0.5 1 x (mm) 50 100 150 y (mm) 0 -5 01 00 50 150 T uft Deflection V elocimetry uU / (-) ∞ x (mm) 0 -5 01 00 50 150 Particle Image Ve locimetry 1 Introduction For centuries, visualizing fluid flow phenomena has pla yed a cr ucial role in unders t anding the underl ying ph ysical mec ha - nisms. This is due to the f act that “[...] once a phenomenon is visualized, a lar ge s tep has been taken to w ard understand- ing it and to w ard sol ving the t heoretical and e xper imental problems in v olv ed” (W erle 1973 ). For e xample, the visu - alization e xper iments of Re ynolds (1883) and Mach (1887) Electronic supplementar y material The online v ersion of t his ar ticle ( https ://doi.org/10.1007/s0034 8-020-02979 -7 ) contains supplementar y mater ial, which is a vailable to authorized users. * Ben Steinfurt h ben.steinfurt [email protected] J. W eiss julien.weiss@tu-ber lin.de 1 Chair ofA erodynamics, T echnisc he Univ ersit ät Berlin, Berlin, Germany Experiments in Fluids (2020) 61:146 1 3 146 Page 2 of 11 contr ibuted significantl y to the understanding of fundamen - tal flow ph ysics while more recentl y , the disco very of coher - ent structures was enabled b y flow visualization me thods (Bro wn and R oshk o 1974 ). As sugges ted b y Ristić ( 2007 ), flo w visualization methods can be classified into sur f ace flo w and off-the sur face flo w visualization, depending on the flow r egion t hat is anal yzed. Sur face flo w visualization is pr imar ily used to obtain inf or - mation regarding the boundary lay er state, e.g., t he transition point, the local direction of w all shear stress and the lines of separation and reattachment. Along with oil film visualiza - tion, a qualitativ e anal ysis with sur f ace tuf ts is commonl y per f or med. The model is hereb y equipped with thin fabric tufts t hat are glued to its surface. The orient ation of indi - vidual tufts is t hen go v er ned by the space-dependent v eloc - ity field, and intuitiv e conclusions regarding the flo w field can be dra wn. A shor t and incomple te list of applications includes air plane wings and components, wind turbines, road v ehicles and race cars (Andino et al. 2015 ; Eggles - ton and Starc her 1990 ; Fisher et al. 1991 ; Steinfurt h et al. 2019 ). Off-the sur face flo w visualization techniq ues are used to visualize c haracter istic flo w f eatures outside t he bound - ar y la y er b y indicating streamlines. This can be achie v ed b y using smoke or oil drople ts in air and dy e/ink in w ater . Ho we ver , tuf ts ma y be emplo y ed in this scenar io as well b y ar ranging t hem in a gr idwise manner, e.g., attached t o a screen. For e xample, placing this screen at v ar ious positions in the flow enabled in v estigations of the longitudinal v or tices in the w ake of a N A CA 0012 wing (Mason and Marc hman III 1971 ), semiwing models (McCor mick e t al. 1968 ), rec - tangular wings and delt a wings (Bird and Rile y 1952 ). Pre vious studies ha ve sho wn t hat there is a larg e band - width of possible operation scenar ios f or the classical tuf t visualization techniq ue—both in sur f ace and off-sur f ace application. This is no doubt due to the intuitive function pr inciple of the approach as the free ends of the tufts mimic the major flo w characteristics. Qualitativ e statements about the flow can then readil y be made since the tuf t deflection is directl y linked to local v elocity vectors through the flo w momentum. The desire to e xtend this con v entional approach and g ain quantitativ e inf or mation regarding v elocity fields is theref ore natural. Suc h a dev elopment, from a qualitativ e to a quanti - tative me thod, is by no means ne w as f or instance, par ticle image v elocimetr y has e v olv ed from flo w visualizations wit h smoke particles, benefited by adv ancing imaging and dat a processing methods. Thus, a f ew recent s tudies were aimed at g aining quan - titative insight fr om images of tuft visualization. V ey e t al. ( 2014 ) anal yze the stall beha vior of full-scale wind turbines using per -tuft statistics as the indicator of the local flow . The y link the tuf t angular standard deviation to the local turbulence le vel whic h allow s f or t he determination of separation lines. Wieser e tal. apply a similar me t hodology to a realistic car model (W ieser etal. 2015 ) and full-scale road v ehicles (Wieser et al. 2016 ). Here, mean tuf t angles are also used to per f or m line integ ral con v olution (LIC). Their results sho w good agreement between the calculated surface traces and oil film visualization as w ell as CFD simulations (Wieser e t al. 2016 ). Swytink -Binnema and Johnson ( 2016 ) determine t he blade stall from captured videos of the tufts applied to a wind turbine blade. Using luminescent mini- tufts, Chen et al. conduct a quantitativ e analy sis of the tuft inclination angle on a flat plate (Chen et al. 2019 ) and a bac kw ard-f acing step (Chen et al. 2020 ). While all af orementioned studies aimed at e xtending t he classical tuft visualization techniq ue to extr act quantitativ e flo w field inf or mation, a method that can be easily adapted b y other researc hers has not been presented to the best of our kno w ledg e. Fur t her more, there appear to be no attempts to relate the tuft deflection to t he momentum of the flow and thus allow f or the measurement of the flow v elocity . The objectiv e of this paper is t heref ore to introduce a method that is easily adaptable b y other researc h g roups and allo w s to e xtract quantitativ e v elocity data from captured tuft images without the need f or commercial software. The basic pr inciple is demonstrated b y means of tw o e xamples, representing surface and off-surface applications. F irst, unsteady near -w all quantities are obtained in a turbulent separation bubble (TSB) b y affixing tuf ts to the wall in a one-sided diffuser . Then, the turbulent w ake of an Ahmed body is in ves tigated b y means of a tra v ersable probe with a larg e number of tuf ts. 2 Ev aluation routine The basic e valuation r outine f or tuft deflection velocimetry (TD V) is ex emplar ily displa y ed in Fig. 1 . Note that a mini- mum w orking e xample of the algorit hm is also pro vided with the supplement ar y mater ial. Follo wing the application of tuf ts inside a giv en flo w field, the first step in obtaining quantitativ e inf or mation consists in the recording of images. A prior i, the method is not limited to coherent snapsho ts but t he acquisition rate of the camera must be adjusted to the time scales associ - ated with relev ant unsteady flo w f eatures in order to study the dynamic flo w beha vior . Sufficient lighting is requir ed so t hat tufts are captured in their entirety . This can be par ticularl y challenging in the case of high acq uisition rates and lo w expo - sure times. In practice, tufts of UV activ e mater ial illuminated with appropr iate LED ar ra ys are successfull y emplo yed in this scenar io. Based on recorded images, the g eometries of indi - vidual tufts can be extracted. Since the y are typicall y v er y thin compared to their length, the tuf t edges can be considered a satisfying representation of the tuf t deflection. T o e xtract these edges, the intensity gradient field is ev aluated. While t here Experiments in Fluids (2020) 61:146 1 3 P age 3 of 11 146 are se v eral different approaches, w e f ound t he Pr e witt method ( 1970 ) to be the most accurate and cos t-efficient f or the dem - onstration tes t cases addressed in the f ollowing. The Pr ewitt operator employ s tw o 3 × 3 kernels that are con vol ved with an imag e to appro ximate the intensity der iva - tiv es in hor izontal and vertical direction, respectivel y . This separable approac h makes it efficient but ma y also cause inac - curacies when dealing with high-frequency v ar iations in the intensity function. Theref ore, a sufficient contrast needs to be ensured betw een tuf ts and back ground. In experiments, this is typicall y achie v ed b y applying a blac k f oil or coating to the bac kground if required. The Pr ewitt filter then retur ns a zero- gradient f or such a bac kground whereas the inter face be tween tuft and back ground is detected as an edge and will be re tur ned in a binar y image (s tep 2 in Fig. 1 ). This binary image then undergoes a Hough tr ansf or mation (step 3), a robust s tandard procedure to e xtract parametr izable geometries (Duda and Har t 1972 ). In t he case of line extr action required f or TD V , the Hough space is spanned by the Euclidean distance of the line 𝜚 and the angle betw een the per pendicular of the line and the abscissa 𝜗 . Thus, the line can be represented by its Hesse nor mal f or m (1) 𝜚 = x cos 𝜗 + y sin 𝜗 . It is w or th noting that t he angle giv en in the Hesse nor - mal f or m already is an indicator f or the tuf t or ient ation. Ho we ver , 𝜗 depends on the dimensions of ra w images since the location of the abscissa wit h respect to the tuf t/ e xtracted line ma y be varied. Theref ore, we emplo yed a trac king method to detect the end points of the para - metrized lines (step 4) and computed the tuf t deflection angle based on their locations. For cer tain applications such as the second demonstr ation ex ample in this ar ticle, it is also necessar y to compute the length of t he detected lines which inher ently req uires kno w ledge regar ding t heir end points as w ell. Repeating this procedure f or multiple successiv e images, t he time-dependent deflection angle of tufts can be der iv ed f or fur ther st atistical anal ysis of a giv en flow field. 3 Choosing tuf ts withappropria te proper ties The accuracy of TD V is directly dependent on the c har - acter istics of the emplo y ed tuf ts. A br ief summar y of the main parameters that need to be considered f or tuf t selec - tion is giv en in this section. Fig . 1 Flo w diag ram visualizing the ev aluation of the deflection angle of one tuf t Experiments in Fluids (2020) 61:146 1 3 146 Page 4 of 11 3.1 T uft visibility Being an optical measurement tec hnique, good visibility of the tuf ts is requir ed, ensur ing t hat the tuf t geome tr y is adequatel y represented in pixel space. F or a giv en lighting setup, tw o parameters ma jorl y affect the visibility: (a) the tuft t hic kness and (b) its color/reflectivity . T o reduce t he influence on the flow field, tufts of mini - mum dimensions are pref er red. This minimum extent strongl y depends on t he optical resolution of the measure - ment setup, i.e., the size of the measurement domain and the camera chip. A lo w resolution can be compensated by a br ight tuft color which is e x emplar ily demons trated in Fig. 2 where tufts of different mater ials but similar diam - eters are sho wn. Whereas t he images of transpar ent tuf ts of pol yamid (P A) monofilament and n ylon are associated with lo w contrast, the other tufts clearly r eflect a g reater amount of light and are theref ore better suited f or the measurement techniq ue. 3.2 Static beha vior oftufts For a specific flo w momentum, the deflection angle of a tuft is determined by its length and stiffness. A gain, long er tufts are not desired due to t he greater influence on the flow field and because the velocity inf or mation is integrated across greater spatial scales. On the other hand, shor t tufts are typi - call y not suited f or low -speed measurements as t he deflec - tion angle is small compared to the measurement accuracy in this case. The char acter istic deflection cur v es f or tufts of lengt h l = 10 mm are sho wn in Fig. 3 . T o compile t hese cur v es, a nozzle w as supplied with a constant mass flow rate, resulting in a steady flo w approaching the tufts. The noz - zle diameter w as larg er than t he tuft lengt h, and it w as ensured that the entire tuf t w as located inside the poten - tial core of the steady jet. Se veral tufts w ere tested f or each material, which enabled calculating bo th t he mean deflection angle and the relative scatter f or each tuft, indi - cated as er ror bars. Ev en though tuf ts were nominall y or iented per pendicular to the nozzle axis in t he absence of the jet ( U ∞ = 0 m/s ), small offse t angles occur red occasionall y . These were de ter mined wit h the introduced method and subtracted from the deflection angles meas - ured subsequentl y . Due to their g reater stiffness, the smallest deflection angles are f ound f or poly amide (P A) and ny lon. How ev er, the range of deflection angles is muc h greater f or n ylon where the variance at U ∞ = 20 m/s is 98% of the mean v alue 𝜑 ≈ 17.1 ◦ . The relativ e scatter f or P A is 32% at the same inflo w v elocity . The poly ester (PES) tufts exhibit a similar total v ar iance of up to Δ 𝜑 = 10 ◦ but the relativ e v ar iation is smaller due to greater ov erall deflection angles (24% at U ∞ = 20 m/s ). The same is true f or t he cotton tufts t hat are associated with the larg est deflection angles, yielding a relativ e de viation of 12% at U ∞ = 20 m/s . Ev en though t his resembles the best reproducibility of tuft mate - r ials assessed in this study , the v alue is still inf er ior com - pared to other quantitativ e measurement techniques. The relativ el y low degree of reproducibility can be attributed to a number of causes whic h must be addressed in more detail in future studies. Firs t, the tuf ts used in t his study are not g eometrically identical, mainl y due to slight pre- def or mations induced when handling and cutting them. Fur ther more, manufacturing imper f ections affect t he tuft proper ties in the case of braided tufts. In addition to t hat, they w ere affixed with adhesiv e tape and t he identical or ientation cannot be ensured in the process. Ho we v er , v ar ying tuf t characteristics can be compensated b y estab - lishing different calibration la ws f or individual tufts. This w as done f or t he second demonstration case presented in Sect. 4 . Among the assessed mater ials, cotton tufts e xhibit t he most f a v ourable characteristics and will be emplo y ed in the f ollowing. PA (white) PA (monofil.) Nylon PES (neon, white, UV active) Cotton Fig . 2 V isibility of different tuft mater ials of similar diameter f or equal lighting conditions 0 10 20 30 40 PA (white) Nylon PES (UV active) Cotton ϕ (°) 0 5 10 15 20 25 U ∞ (m/s) Fig . 3 T uft deflection angle as a function of velocity f or different tuft materials Experiments in Fluids (2020) 61:146 1 3 P age 5 of 11 146 3.3 Dynamic behavior oftufts Since a steady approac h flo w only reflects the conditions of a limited number of flo w configurations, fur ther gener ic tests w ere conducted to address the dynamic beha vior of tufts exposed to uns teady flo w . F or t his pur pose, a pulsed jet actuator consis ting of a solenoid val ve and a nozzle w as emplo y ed and star ting jets w ere emitted at constant freq uen - cies. Figure 4 sho ws the time signal of the deflection angle of a cotton tuft of l = 5 mm (open circles) f or a frequency of f = 50 Hz and the velocity signal measur ed wit h a hot wire sensor as a ref erence method. The tuf t is clearl y capable of f ollowing the dominant frequency . This w as obser ved to be the case f or frequencies up t o f = 80 Hz . Theref ore, a dynamic response req uired f or man y lo w -speed applications can be attested. Ho we ver , it is w or t h pointing out that t his generic test configuration does not reflect highl y turbulent flo w s wit h flo w f eatures cor responding to larg e frequency bands. The suitability f or these cases may be addressed in future applications. 4 Demonstra tion ofapplicabilit y T w o test cases wer e in v estigated with the proposed measure - ment techniq ue to demonstrate its capabilities: (1) the near - w all flo w along a turbulent separation bubble (TSB) and (2) the w ake of a g ener ic car model. 4.1 T est c ase 1: turbulent separa tion bubble TSBs are g enerated when a turbulent boundar y la y er sepa - rates from the w all and reattaches furt her do wnstream, enclosing the separation zone. The f lo w separation can either be induced by a g eometric singular ity , such as a bac k - w ard f acing step (e.g., Driver e tal. 1987 ; Ma and Schr öder 2017 ) or f ence (e.g., Ruder ich and F er nholz 1986 ; Hudy and N aguib 2003 ) or b y an adverse pr essure g radient (APG). In this test case, a pressure-induced TSB w as in v estigated where the APG w as introduced b y the widening of t he test section cross area. A similar flo w configuration w as in ves - tigated in W eiss et al. ( 2015 ) and Mohammed- T aif our and W eiss ( 2016 ) on t he basis of unsteady pressure, HW A and PIV measurements. In the cur rent study , the free stream v elocity was U ∞ = 20 m/s . The mean flo w field of the TSB addressed in this study is sho wn in Fig. 5 . The time-a verag ed recircula - tion zone associated with the TSB is enclosed by the sepa - rating streamline u = 0 m/s , spanning a region of roughl y x ≈ 0.1 … 0.45 m . Cotton tufts ( l = 15 mm ) w ere attached to the test sec - tion surface inside the symme tr y plane with a spacing of Δ s = 25 mm as indicated in the sample photograph y shown in Fig. 5 . A second line of tufts with free ends pointing in t he other direction w as used f or ref erence. While they sho wed good agreement with tuf ts placed on the symmetr y plane, w e will not address them in much detail here. The main 0 10 20 30 40 t (s) U ∞ (m/s) 0.02 0.04 0.06 0.08 100 75 50 25 0 ϕ (°) Fig . 4 Dynamic beha vior of tuft subjected to f = 50 Hz pulsed jet, hot wire signal sho wn in gray color f or ref erence 0 1 Side view u = 0 m/s 0 -0.1 0.1 y (m) 0.5 u U / (-) ∞ U ∞ α = 21° x (m) Diffuser ramp Surface tuft array 00 .1 0. 20 .3 0. 40 .5 0.6 -0.1 0.7 0.8 0 z (m) T op view U ∞ U ∞ Diffuser ramp Fig . 5 T SB studied by means of TD V ; time-a v eraged stream wise v elocity field measured with PIV (top), application of sur face tufts in symmetry plane (bottom) Experiments in Fluids (2020) 61:146 1 3 146 Page 6 of 11 objectiv e in this scenar io was t o identify t he instantaneous flo w direction and detect unsteady regions of re verse flo w in par ticular . Theref ore, t he tufts were attached perpendicular to the main flow dir ection. Images of the tufts were taken at an acquisition rate of f = 200 Hz o v er a time duration of Δ t = 10 s . Due to the size of the relev ant flo w region, the tuft ar ra y w as divided into f our segments of similar lengt h of which imag es were taken subseq uently . T o compensate the tilted diffuser ramp sur f ace, the camera was adjus ted so that t he optical axis w as parallel to the w all nor mal f or all segments. With initial tuft angles being transv erse to the free stream direction, def lection angles of 𝜑> 0 ◦ are e xpected f or regions of f or ward flo w , whereas flo w recirculation yields angles of 𝜑< 0 ◦ . It is w or t h mentioning that the locations of separation and reattachment are no t constant but fluctuate significantl y . This is explained b y t he finding that TSBs are char acter ized by a lo w-freq uency contraction and e xpansion in addition to medium-freq uency oscillations associated wit h v or tex s tr uctures inside the separated shear lay er and high- frequency fluctuations caused b y t he turbulent nature of the flo w (Mohammed- T aif our and W eiss 2016 ). Theref ore, the test case is suited to assess the capability of the TD V method to measure unsteady flo w conditions in close w all pro ximity . Figure 6 sho ws the time-a v eraged deflection angles o f tufts along t he diffuser axis that are based on the time sig - nals of tuft deflection angles obtained wit h the procedure introduced in Sect. 2 . As e xpected, the region upstream of the diffuser ramp ( x < 0m ) is characterized by positiv e deflection angles of 𝜑> 15 ◦ cor responding to the f or w ard-flow boundar y lay er . Fur ther downs tream, the flow decelerates and the tuft deflec - tion angles decrease accordingl y . A mean v alue of 𝜑 ≈ 0 ◦ , i.e., an a verag e tuft or ient ation per pendicular to the diffuser axis, is f ound at x ≈ 0.15 m while negativ e deflection angles are obser v ed in the range of x = 0.15 … 0.45 m due to flo w recirculation in this region. This cor responds reasonabl y w ell wit h the mean separation line, extracted fr om PIV measurements, that is sho wn in Fig. 5 . Downs tream of the TSB, v or tex structures are shed onto the w all and positiv e deflection angles are observed. Being a c haracter istic quantity f or the dimensions of TSBs, the f or ward flo w coefficient 𝛾 ( x ) w as deduced. This quantity repr esents t he time per iod dur ing which the flo w is or iented in stream wise direction ( u > 0 m/s ) relative t o th e total obser v ation time (Simpson 1996 ). Here, it w as appro xi - mated b y the number of samples where 𝜑> 0 ◦ relativ e to the total number of samples (Fig. 7 ). The e valuation of tuft angles yields tw o regions of 𝛾> 99 % , being x ≤ 0m and x ≥ 0.5 m . The respectiv e boundar ies mark the positions of incipient detachment and complete r eatt achme nt as defined by Sim pson ( 1996 ). The cor responding length of t he enclosed TSB is L 99 ≈ 0.5 m which is about 20% smaller than the v alue measured with PIV where the complete reattachment point w as not inside the measurement domain but a location of x ≈ 0.6 m can be assumed. The main reason f or t his de viation is t he difference in f or ward flo w coefficients at t he do wnstream end of the TSB. Whereas PIV measurements re veal a number of ins tan - taneous snapshots where recirculation occurs, this inf or ma - tion is not cap tured by T D V . The negativ e stream wise v eloc - ity component is induced b y v or tex s tr uctures or iginating from the separated shear la y er and the time duration may be too shor t to cause negativ e deflection angles. How e ver , smaller tuft dimensions may be able t o render this process more accuratel y . The same effect is present inside the TSB 30 20 10 0 -10 0 0.2 0.4 0.6 0.8 x (m) φ (°) U ∞ φ Fig . 6 Mean tuft deflection angles along diffuser axis 0 20 40 60 80 100 0 0.2 0. 40 .6 0.8 x (m) γ( %) TDV PIV Fig . 7 Forw ard flow r atio along diffuser axis deter mined by means of TD V and PIV , respectiv ely Experiments in Fluids (2020) 61:146 1 3 P age 7 of 11 146 where PIV measurements sugg est f or ward flo w coefficients of 𝛾 PIV ≈ 15 % whereas tuft deflection angles are negativ e at almost all times, hence 𝛾 T DV ≈ 0 % . Ho we ver , the locations of transitor y detachment and r eatt achment mar ked b y 𝛾 = 50 % are w ell captured by the tec hnique introduced in this ar ti - cle, and a TSB length of L 50 ≈ 0.38 m is der iv ed both from PIV and TD V measurements. It should be noted, ho we ver , that the location of transitor y detachment as derived from the f or w ard flo w ratio is slightly ups tream of the location where 𝜑 = 0 ◦ . This can be explained b y t he f act that close to the location of transitor y detachment, the magnitude of deflection angles is lar ger in the case of f or war d-flow e ven though the respective time duration is eq ual to that of rev erse flo w . Since t his w as not observed in PIV measurements, w e attr ibute this finding to individual tufts having a pr ef erential bending direction. Finall y , the fluctuation le vel of tuft deflection angles is e valuated along the TSB. As a ref erence, unsteady pressur e measurements are conducted with piezo-resistiv e pressure transducers. Both distributions are sho wn in Fig. 8 . In good agreement with results in t he literature (Mohammed- T aif our and W eiss 2016 ), two local peaks are f ound close to the mean locations of separation and reattachment. This is also reflected b y the TD V anal ysis where maxima of the order of r ms ( 𝜑 � )≈ 6 ◦ and r ms ( 𝜑 � )≈ 13 ◦ are f ound, respectivel y . Generall y , the first test case sho ws that the method is w ell suited to adequatel y detect the instant aneous flo w direction when applied in the near -w all region. Fur t her more, an anal y - sis of unsteady flo w was successfull y conducted to deter - mine regions of maximum fluctuation le vel inside a flo w configuration. The freq uency peak associated wit h these fluctuations w as in the region of f ≈ 60 … 80 Hz . Ho we ver , er rors occur when the flo w is dominated by h igher -frequency flo w rev ersals. 4.2 T est c ase 2: wak e ofgeneric car model A second test configuration w as chosen to assess the perf or - mance of the TD V method when a free velocity field is ana - l yzed, i.e., when the tuf ts are not attached to a solid surf ace. For this pur pose, an Ahmed body—a generic car geometry introduced in Ahmed etal. ( 1984 )—w as studied inside the same lo w -speed wind tunnel as the TSB (test case 1) at a free stream v elocity of U ∞ = 20 m/s . Based on the height of the 50 % scale model H ≈ 0.14 m , t he Re ynolds number w as Re H ≈ 1.9 ⋅ 10 5 . The w ake topology subject to a v ar ied slant inclination angle 𝛽 is w ell known fr om previous s tud - ies (Ahmed et al. 1984 ). The smallest drag coefficient is f ound at 𝛽 ≈ 10 ◦ where the flow is attac hed on the slant sur - f ace. The drag then increases f or greater inclination angles due to the enhancement of stream wise v or tices or iginating at the c-pillars. At a slant angle of 𝛽 ≈ 30 ◦ , t hese v or tices break do wn and a discontinuous drop in drag occurs. While the larg e-scale stream wise v or tices will not be addressed in this study , w e emplo y ed TD V to in ves tigate the influence of the slant inclination on the dimensions of t he recircula - tion zone inside the symmetr y plane. The setup f or this test case is schematicall y depicted in Fig. 9 . T w o slant angles, 𝛽 = 15 ◦ and 𝛽 = 35 ◦ , were in v estigated and a probe with 50 cotton tufts of l = 5 mm length w as tra v ersed in the symmetry plane in Δ x = 4 mm steps along the x direction betw een x =− 100 … 200 mm where x = 0 mm marks the base of the Ahmed body . The probe consisted of a solid beam with dr illed holes t hrough whic h the tuf ts were s tic ked and glued on the back side of the probe. The v er tical spacing betw een neighbor ing tufts was Δ y = 4 mm . The optical axis of the camera w as nor mal on the symmetr y plane (Fig. 9 ) , and images w ere t aken o v er a duration of Δ t = 3s with an 0 3 6 9 12 15 0 0.2 0.4 0.6 0.8 x (m) rms( ‘) (°) φ 0 0.04 0.08 0.02 0.06 0.1 rms( ) (-) c‘ p TDV Pressure transducer Fig . 8 Fluctuation le v el along diffuser axis determined by means of TD V and piezo-resistive pr essure transducer, r espectivel y Ahmed body T raversable TDV probe with 50 tufts U ∞ Splitter plate Camera x y Fig . 9 Se tup f or flow field measurement of Ahmed body w ake b y means of TD V Experiments in Fluids (2020) 61:146 1 3 146 Page 8 of 11 acquisition rate of f = 400 Hz . This w as sufficient to resol v e rele vant shedding modes that are associated with a Str ouhal number of St ≈ 0.22 at 𝛽 = 35 ◦ according to T una y et al. ( 2014 ), cor responding to a frequency of f ≈ 30 Hz . Measurements w ere conducted inside the symmetr y plane where the out-of-plane component is assumedl y negligible. The initial tuft or ient ation w as parallel to the z axis, and the tufts were free to mo ve in tw o directions, namely x and y in this application scenar io. The ev aluation algor ithm w as theref ore e xtended to compute tw o separate deflection angles cor responding to both in-plane v elocity components in the symmetry plane. As indicated abov e, t he initial or ientation of the tuf ts w as almost parallel with reg ard to the optical axis, resulting in almost zer o lengt h when imaged b y t he camera. The projected length of the tufts w as used to obtain deflection angles. Ag ain, 2D2C PIV measurements wer e emplo y ed as a ref erence measurement techniq ue. Here, mean v alues of the two v elocity components wer e obt ained based on 500 incoherent snapshots. The dis t ance betw een v ectors measured with PIV w as Δ x =Δ y ≈ 1 mm , yielding a f our times finer resolution than f or TD V measurements. Since the preliminar y analy sis sho wed that the charac - ter istic tuft deflection cur v e is not identical f or different tufts, an initial calibration w as per f or med by appl ying dif - f erent flow v elocities rele vant to this tes t case and measur - ing the individual deflection angles in the absence of t he Ahmed body . The characteristics of individual tufts were then mapped with second-order polynomials sho wn in Fig. 10 . Since the cotton tufts used f or this test case were shor ter than t hose addressed in Fig. 3 , the deflection angles are smaller at eq ual veloc ities. The tw o in-plane v elocity components u and v were computed based on the individual calibrations where the free stream v elocity was v ar ied in the range u = 0 … 25 m/s (Fig. 10 ). Identical characteristics w ere assumed f or negativ e velocities in main s tream direc - tion and f or t he v er tical v elocity component. In hindsight, this assumption is probabl y not justified as a pref erential direction of the tuf ts w as indicated b y results of the previ - ous test case where different deflection angles occur f or the same f orcing. Generall y , the additional effor t required f or this calibra - tion w as minimal since no modification to the experimental setup w as needed in ter ms of the optical ar rang ement. The main results of this experiment are sho wn in Fig. 11 where the contour field of the nor malized stream wise veloc- ity component is o v erla y ed with t he time-a verag ed stream - line patter n that is based on the measured vector fields. The longitudinal e xtent of the detected recirculation zones measured with TD V ag rees well with the length obtained wit h PIV measurements. The stagnation point is located at x ≈ 150 mm f or t he 𝛽 = 15 ◦ slant angle whereas a longer r ecirculation zone is f ound f or 𝛽 = 35 ◦ where the stagnation point is at x ≈ 180 mm . Fur t her more, the upper par t of the vortex ring rooted at the base is captured b y the method. Ho we ver , t here is a lar ge difference in the v elocity magnitude inside the recirculation zone determined by both methods. The approac h introduced in this ar ticle suggests a minimum longitudinal v elocity of u ≈− 0.6 U ∞ compared to u ≈− 0.4 U ∞ obtained from PIV measurements. In general, there is a systematic difference be tween bo th measurements of the order of Δ u =( u PIV − u T DV )∕ U ∞ > 0.1 inside the recirculation zone. A significant de viation of opposite sign in ter ms of the stream wise v elocity inside t he shear la y ers bounding the recirculation zone is also obser v ed. This ma y be attr ibuted to the small v elocity magnitude | u | → 0 m/s present in these regions. As a result of this inaccuracy , the recirculation zone measured with TD V is systematicall y smaller in v er tical direction. None theless, t he second test case demonstrates that the TD V techniq ue can be emplo yed t o gain a quantitativ e impression of a 2D2C flo w field with a measurement setup that is much easier , cheaper and simpler to establish com - pared to PIV measurements. The measurement accuracy ma y be adequate f or a preliminar y assessment of comple x flo w s, t hough it is probabl y inacceptable f or detailed analy - ses. This insufficiency is mainl y linked with the mater ial proper ties of the cotton tufts used in this study . 5 C onclusions The main objectiv e of this ar ticle w as to introduce a no v el measurement method that allo ws f or a quic k and simple quantitativ e anal ysis of flo w fields. T w o test configura - tions ha ve demons trated the potential of t his approac h. Ho we ver , t he cur rent limit ations preclude a replacement of 0 10 20 30 40 φ (°) 05 10 15 20 U ∞ (m/s) Fig . 10 Second-order pol ynomials for v elocity calibration of individ- ual tufts, mean value printed bold Experiments in Fluids (2020) 61:146 1 3 P age 9 of 11 146 con ventional measurement tec hniques. W e theref ore hope that the approach is adapted and modified b y other researc h - ers, gradually optimizing the method as has been done with other measurement tec hniques in the past. 5.1 Adv antages anddisadv antages The main adv ant age of TD V lies in its q uick and sim ple implementation. No elaborate measurement eq uipment is requir ed and the dat a processing is f ast compared t o other techniq ues f or flow field measurements. A camera is on hand in practicall y all research f acilities, and the data analy sis can be per f or med on a standard w ork station. In addition to that, the method can be e xecuted b y new users after a very shor t initial training phase due to the intuitiv e function pr inciple. At the same time, the r isk of committing f atal er rors with conseq uences f or the healt h of the user or damages of eq uipment dur ing that training phase is v er y low . As another main adv antage, inf or mation regarding lar ge flo w fields can be obtained in a relativel y shor t amount of time compared to pointwise measurement techniq ues and also PIV where the measurement domain is -0.5 0 0.5 1 x (mm) 50 100 150 y (mm) 50 100 150 y (mm) 0 5 -0 100 50 150 TDV PIV / (-) ∞ x (mm) 0 5 -0 100 50 150 β = 15° β = 15° β = 35° β = 35° Deviation β = 35° β = 15° 50 100 150 y (mm) -0.5 0 0.5 (- ) / (-) uu U PI VT DV ∞ Fig . 11 V elocity field in the wak e of an Ahmed body; measured with TD V (top row) and PIV (center r ow) and de viation between v elocity fields obtained with both methods (bottom ro w); stagnation point marked with red cross Experiments in Fluids (2020) 61:146 1 3 146 Page 10 of 11 typicall y smaller due to a limited region of sufficient laser light energy and a s trong er reliance on optical resolution to render seeding par ticles. These potential benefits are currently offse t by an insuf - ficient measurement accuracy that is mainl y due to a v er y limited reproducibility of the tuft characteristics. While not directl y addressed in t his ar ticle, TD V is an intr usiv e method and the user must be a w are that required instru - mentation, e.g., probes and tufts, may ha v e a significant influence on the flow field. Fur t her more, tufts of one spe - cific geome tr y are onl y suit able to a cer tain range of flo w v elocities so that an appropr iate tuft mater ial and length must be c hosen according to the relev ant velocity r ange. The results of this study ha ve also sho wn t hat the tech - nique ma y not be suited f or flow s dominated by f eatures at time scales associated with frequencies of f > 100 Hz . As with ev er y other experiment al techniq ue, an inte - gration along a specific spatial domain is per f or med. For the TD V method, t his domain is equal to the tuft which will usuall y ha v e greater dimensions t han the integ ration regions f or other methods. It is t heref ore an inherent chal - lenge of the TD V techniq ue to assign measured v elocity v ectors to defined locations in the flow field. This difficulty is amplified when tufts are strongl y bent or ev en twisted. As a gener al r ule, ev er y attempt should be made to a v oid such def or mations, f or inst ance b y using tuf ts that are as shor t as possible and by appl ying t hem with an adequate or ientation. 5.2 P otential fields ofapplication As mentioned in the previous section, the method proposed in this ar ticle is cur rentl y not able to substitute a classical measurement tec hnique. W e t heref ore advocate an em ploy - ment in a supplemental manner , e.g., f or preliminar y anal - yses to narrow do wn the parameter space f or subsequent measurements. Being a method capable of deli vering inf or mation regard - ing larg e flow fields in relativ ely short amounts of time, TD V ma y nonetheless be readil y utilized where PIV measure - ments are precluded. This ma y be t he case when no PIV sys tem is on hand in the first place or when PIV cannot be emplo y ed f or saf ety reasons, e.g., outdoors or when contami - nation with seeding par ticles is not desired. Fur ther more, TD V is conceptually no t restricted to two-dimensional meas - urement domains as tufts ma y be att ached t o cur ved surf aces with images readil y dew ar ped if req uired. Generall y , there is a v er y larg e number of potential appli - cation scenar ios, including near -w all measurements but also an emplo yment inside w all-distant flo ws, and we hope that this will be reflected in future studies b y other research groups. 5.3 Outlook Future effor ts must be primar ily aimed at impro ving t he measurement accuracy of the method proposed here. From our point of vie w , this can be achie v ed by identifying a tuft mater ial with more reproducible properties. In t he cur - rent study , cotton tufts were utilized, e xhibiting drasticall y v ar ying mechanical properties despite t heir geome tr ic sim - ilar ity . W e also observed that occasionall y , the character - istic deflection beha vior chang ed o ver time as irrev ersible def or mation of t he tuf ts occur red after being exposed to the flow im pulse. W e theref ore fir mly belie v e that signifi - cant impro vement can be br ought about b y identifying a more appropriate tuf t mater ial. Acknowledgements Open Access funding pro vided by Pr ojekt DEAL. The authors gratefully ac know ledge the assistance from Steffen F eld - hus and Y annick Kather with wind tunnel measurements f or the first demonstration case. Code a vailability A minimum w orking e xample of the algorithm intro - duced in this ar ticle is pro vided with t he supplementar y mater ial. C ompliance with ethical standards Conflict of interest The authors declare that t he y ha ve no conflict of interest. Open Acc ess This ar ticle is licensed under a Creative Commons A ttri - bution 4.0 Inter national License, which permits use, shar ing, adapta - tion, distribution and reproduction in an y medium or f or mat, as long as you giv e appropr iate credit to the or iginal author(s) and t he source, pro vide a link to the Creative Commons licence, and indicate if c hanges wer e made. The images or other third par ty mater ial in this ar ticle are included in the ar ticle’ s Creativ e Commons licence, unless indicated otherwise in a credit line to t he mater ial. If material is not included in the ar ticle’ s Creativ e Commons licence and your intended use is no t per mitted b y statutor y regulation or ex ceeds t he per mitted use, you will need to obtain per mission directly fr om the copyr ight holder . To vie w a copy of this licence, visit http://creat iv eco mmons .org/licen ses/b y/4.0/ . Refer ences Ahmed SR, Ramm G, Faltin G (1984) Some salient f eatures of the time-a v eraged ground v ehicle w ake. S AE Trans 93:473–503 Andino MY , Lin JC, W ashbur n AE, Whalen EA, Graff EC, W y gnan - ski IJ (2015) Flo w separation control on a full-scale v er tical t ail model using sweeping je t actuators. In: 53rd AIAA aerospace sciences meeting, p 0785 Bird JD, Rile y DR (1952) Some experiments on visualization of flow fields behind lo w-aspect-ratio wings b y means of a tuf t gr id. T echnical report, National Advisory Committee f or Aeronaut - ics (NAS A) Bro wn GL, R oshko A (1974) On density effects and lar ge structure in turbulent mixing la yers. J Fluid Mech 64(4):775–816 Chen L, Suzuki T , Nonomura T , Asai K (2019) Character ization of luminescent mini-tufts in quantitative flo w visualization Experiments in Fluids (2020) 61:146 1 3 P age 11 of 11 146 e xper iments: sur f ace f lo w analy sis and modelization. Exp Ther m Fluid Sci 103:406–417 Chen L, Suzuki T , Nonomura T , Asai K (2020) Flow visualization and transient beha vior anal ysis of luminescent mini-tufts after a bac kwar d-facing s tep. Flow Meas Ins tr um 71:101,657 Driver DM, Seegmiller HL, Marvin JG (1987) Time-dependent beha vior of a reattaching shear la y er . AIAA J 25(7):914–919. https ://doi.org/10.2514/3.9722 Duda R O, Har t PE (1972) Use of the Hough transformation to detect lines and curves in pictures. Commun A CM 15(1):11–15. https ://doi.org/10.1145/36123 7.36124 2 Eggleston DM, S tarcher K (1990) A comparativ e study of the aero - dynamics of sev eral wind turbines using flow visualization. J Sol Energy Eng 112(4):301–309 Fisher DF , DelFrate JH, Richwine DM (1991) In-flight flo w visu - alization characteristics of the NAS A F-18 high alpha research v ehicle at high angles of attack. T echnical report, NAS A Dr yden Flight Researc h Facility Hudy LM, Naguib AM (2003) W all-pressure-ar ray measurements beneath a separating/reattaching flo w region. Phy s Fluids. https ://doi.org/10.1063/1.15406 33 Ma X, Schr öder A (2017) Analy sis of flapping motion of reattaching shear la yer behind a tw o-dimensional backw ard-facing s tep. Phy s Fluids. https ://doi.or g/10.1063/1.49966 22 Mason W , Marchman III J (1971) In vestig ation of an aircraft trailing v or tex using a tuft gr id. T echnical r epor t, Vir ginia Pol ytechnic Institute, Department of Aerospace Engineering McCormick B W , Sher r ier H, T angler J (1968) Structure of trailing v or tices. J Aircr 5(3):260–267 Mohammed- T aif our A, W eiss J (2016) U nsteadiness in a larg e tur - bulent separation bubble. J Fluid Mech. https ://doi.or g/10.1017/ jfm.2016.377 Pre witt JMS (1970) Object enhancement and extractionl. In: Lipkin B, R osenf eld A (eds) Picture processing and psyc hopictorics. Aca - demic Press, Ne w Y ork, pp 75–149 Ristić S (2007) Flo w visualisation techniq ues in wind tunnels par t I— non optical methods. Sci T ech R ev 57(1):39–50 Ruderich R, Fernholz HH (1986) An experimental inv estigation of a turbulent shear flo w with separation, rev erse flow , and reattach - ment. J Fluid Mech 163:283–322. https ://doi.or g/10.1017/S0022 11208 60023 06 Simpson RL (1996) Aspects of turbulent boundary-la y er separation. Prog A erosp Sci 32(5):457–521. https ://doi.org/10.1016/0376- 0421(95)00012 -7 Steinfurth B, Ber thold A, Feldhus S, Hauc ke F , W eiss J (2019) Increas - ing the aerodynamic per f or mance of a f or mula student race car b y means of active flo w control. SAE Int J A dv Cur r Pract Mobil. https ://doi.org/10.4271/2019-01-0652 Swytink -Binnema N, Johnson D A (2016) Digital tuf t analy sis of stall on operational wind turbines. Wind Ener gy 19(4):703–715 T unay T , Sahin B, Ozbolat V (2014) Effects of rear slant angles on the flow c haracteristics of ahmed body . Exp Therm Fluid Sci 57:165–176. https ://doi.org/10.1016/j.e xpt h er mfl usci.2014.04.016 V ey S, Lang HM, Na yeri CN, Pasc hereit CO, P echliv anoglou G (2014) Extracting quantitativ e data from tuf t flo w visualizations on utility scale wind turbines. J Ph ys Conf Ser 524:012011 W eiss J, Mohammed- T aifour A, Sc hw aab Q (2015) Uns teady beha v - ior of a pressure-induced turbulent separation bubble. AIAA J 53(9):2634–2645. https ://doi.or g/10.2514/1.J0537 78 W erle H (1973) Hydrodynamic flo w visualization. Annu Rev Fluid Mech 5(1):361–386 Wieser D, Bonitz S, Löfdahl L, Br oniewisz A, N a yeri CN, Pasc hereit CO, Larsson L (2016) Surface flo w visualization on a full-scale passenger car with q uantitative tuft image pr ocessing. S AE T ech - nical Paper 2016-01-1582. https ://doi.or g/10.4271/2016-01-1582 Wieser D, Lang H, N a yeri C, Pasc hereit C (2015) Manipulation of the aerodynamic beha vior of t he dr ivAer model with fluidic oscilla - tors. S AE Int J Passeng Cars-Mec h Syst 8:687–702 Publisher’ s Not e Springer Nature remains neutral with reg ard to jurisdictional claims in published maps and institutional affiliations. Why institutions use Plag.ai for originality review, entry 49 Plag.ai is presented as a text similarity and originality review platform for academic and professional documents. 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