A comparison of turbulence models and two and three dimensional meshes for unsteady CFD ash deposition tools
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A
compa ison
o
u bulence
models
and
wo
and
h ee
dimensional
meshes
o uns eady CFD ash deposi ion ools
Ga cia
Pe ez
Manuel,
Vakkilainen
Esa
Ga cía
Pé ez,
M.,
Vakkilainen,
E.
(2019).
A
compa ison
o
u bulence
models
and
wo
and
h ee
dimensional meshes o uns eady CFD ash deposi ion ools. Fuel, Vol. 237, Issue 1 Feb ua y
2019, p. 806–811. DOI: 10.1016/j. uel.2018.10.066
Publishe 's e sion
Else ie
Fuel
10.1016/j. uel.2018.10.066
© Else ie 2019
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A compa ison o u bulence models and wo and h ee dimensional meshes
o uns eady CFD ash deposi ion ools
Manuel Ga cía Pé ez
⁎
, Esa Vakkilainen
Lappeen an a Uni e si y o Technology, Ene gy Technology, P.O. Box 20, FIN-53851 Lappeen an a, Finland
ARTICLE INFO
Keywo ds:
Fouling
Combus ion
Ash deposi ion
Compu a ional fluid dynamics
Tu bulence model
ABSTRACT
This wo k aims o assess he adequacy o he o en made wo dimensional mesh simplifica ion in ash deposi ion
models. Li le in o ma ion is a ailable ega ding i s alidi y due o he hea y compu a ional cos s ha a p ope
h ee-dimensional g id model would en ail. We ha e implemen ed a case s udy (a deposi ion p obe in a k a
eco e y u nace) wi h 2D and 3D mesh models in o de o compa e hei esul s ega ding he ash deposi ion
and he fluid flow. An addi ional simula ion has been ca ied ou o compa e he esul s be ween URANS and
DES u bulence models.
Fo he pa icula case s udied in his a icle, he wo-dimensional simplifica ion is jus ified as he esul s did
no a y no ably whe eas en ailing ema kably smalle compu a ional cos s. None heless, he usage o DES
u bulence model yielded mode a ely diffe en esul s, quali a i ely close o deposi obse a ions, jus i ying
pe haps he h ee-dimensional app oach when accu acy is needed o he deposi ion o fine pa icles on he lee
edges o he ubes.
1. In oduc ion
Fly ash impac ion and deposi ion on boile ubes en ail e osion and
co osion o he hea exchange su aces, as well as down imes and
o e all pe o mance penal ies in boile s o any kind, up o a poin ha
hese may ha e an impac on he o e all design [1]. The physical and
chemical phenomena in ol ing ash gene a ion, g ow h, anspo , and
deposi ion is hus o a majo conce n [1,2].
A conside able effo is being made o a be e knowledge o hese
phenomena, CFD modeling being a pa icula ly popula and affo dable
app oach. Un o una ely hese ools a e s ill a an ea ly s age [3] and
would ideally be enhanced wi h g id-independency s udies (as, e.g.,
[4]) and/o empi ical alida ions (as, e.g., [5,6]), o en omi ed due o
hei challenging na u e [1]. In he wo k o Li e al. [7] he deposi ion
on a hombic hea ans e ube a ay was modeled and alida ed sa-
is ac o ily. Ma idou e al. [8] analyzed he effec o he usage o ubes
o diffe en diame e wi hin a ow. Han e al. [9] compa ed he de-
posi ion on ci cula e sus ellip ical ube a ays.
All he s udies men ioned in he p e ious pa ag aph used 2D meshes
o hei models. No ably ewe h ee-dimensional simula ions a e y-
pically ound in li e a u e. Fo ins ance, Wang e al. [10] s udied he
flow pa e ns and deposi ion o e a andem o wo H- ype finned ubes.
The deposi ion and e osion on a supe hea e co ne was modeled by Li
e al. [11]. Leppänen e al. [12] p edic ed he ume ash o ma ion and
deposi ion on o he supe hea e su ace wi h a 3D mesh comp ising he
en i e u nace and he backpass o a k a eco e y boile . All hese
wo ks conside ed s udy domains wi h geome ies which we e no
amenable o a wo-dimensional app oach, esul ing in o conside ably
hea y 3D meshes. Mo e o en han no , he wo ks which used a 3D
app oach e iewed by he au ho s o he p esen s udy did no a emp
o pe o m an uns eady flow simula ion o a g id con e gence analysis.
Typically, he wo-dimensional app oach is execu ed when he
modeled domain shows an app op ia e pe iodici y and/o symme y
[7]. This way, he calcula ion ime may be educed by a ew o de s o
magni ude. F equen ly, o long uns eady calcula ions wi hin a pa a-
me ic s udy, his may be he only easonable way o simula ing.
Howe e , he adequacy o his e y common simplifica ion has seldom
been assessed o e en conside ed. Many deposi ion su aces unde
s udy a e ube a ays which expe ience h ee-dimensional u bulence
eddies [13,14] which could be affec ing pa icle ajec o ies. G ei zu
e al. [15] obse ed diffe ences be ween he acked pa icle ajec o ies
o a 2D and a 3D mesh o he same domain; a ibu ing he bes fi o
he 3D case o he expe imen al esul s o a be e simula ion o he
h ee dimensional pa icle dispe sion caused by he u bulen eddies. Li
e al. [13] compa ed he deposi ion modeled o e a ube wi h bo h 2D
and 3D meshes. I was concluded ha he 3D app oach yielded
h ps://doi.o g/10.1016/j. uel.2018.10.066
Recei ed 23 Janua y 2018; Recei ed in e ised o m 27 Sep embe 2018; Accep ed 10 Oc obe 2018
⁎
Co esponding au ho .
E-mail add ess: manuel.ga cia.pe ez@lu .fi(M. Ga cía Pé ez).
Fuel 237 (2019) 806–811
0016-2361/ © 2018 The Au ho (s). Published by Else ie L d. This is an open access a icle unde he CC BY-NC-ND license
(h p://c ea i ecommons.o g/licenses/BY-NC-ND/4.0/).
T
mode a ely be e esul s acco ding o empi ical measu emen s, al-
hough a a he coa se mesh was used, possibly esul ing in o an
o e es ima ion o he on deposi s o he smalles pa icles [3]. Un-
o una ely, bo h he simula ion and he expe imen al se -up we e
poo ly de ailed [13].Wefind fi ing o conside how, in gene al, esul s
on ash deposi ion could be affec ed by he 2D mesh simplifica ion.
The p esen s udy aims o confi m he alidi y o his 2D assump ion
by modeling a case s udy in bo h wo- and h ee-dimensional meshes.
The case s udy selec ed o he uns eady pa icle deposi ion was a
wa e -cooled deposi ion p obe inse ed in he las supe hea e a ea o a
k a eco e y boile . The simula ions we e ca ied ou in Ansys
FLUENT 18.0 enhanced wi h he disc e e phase model and use -defined
unc ions. Diffe en mesh esolu ions, dimensions (in he sense o spa-
ial coo dina es), ash pa icle diame e s and u bulence models a e
es ed and compa ed.
2. Model desc ip ion
The ash deposi ion a ound a 4-cm (ou e diame e ) wa e -cooled
p obe wi h an ou e wall empe a u e o 39 °C inse ed in k a eco e y
boile is simula ed wi h FLUENT. Typical k a eco e y alues and gas
pa ame e s ha e been selec ed [16–18] o ma ch he ones o he su-
pe hea e egion. The ups eam gas comes a 686 °C wi h a eloci y o
3.5 m/s and a a p essu e o 92 kPa (ou le ). The flue gas has a dynamic
iscosi y o
−
3.82·10
5
kg/(m s), a he mal conduc i i y o 0.0663 W/(m
K), a specific hea o 1248 J/(kg K) and a molecula weigh o 28.97 kg/
kmol.
Diffe en meshes o he same case s udy a e implemen ed in o de o
compa e hei esul s. The g id esolu ion is a ied o ensu e ha he
nume ical con e gence is eached. In addi ion, o one o he 3D me-
shes, he u bulence models URANS −k
ω
SST and DES a e compa ed.
Conclusions ega ding he alidi y o he 2D simplifica ion and u bu-
lence models shall be d awn.
In his s udy, he di ec ion along he p obe is o en e e ed o as he
hi d coo dina e, which is he simplified one in he 2D simula ions. The
loca ions on he pe ime e o e he ci cula p obe a e de e mined wi h
he angula coo dina e θ, whe e
=θ0
co esponds o he p obe lee and
=±θ
π
co esponds o he p obe wind.
2.1. Compu a ional domain and meshes
The simula ions execu ed in his s udy use a o al o ou diffe en
meshes o he same case s udy. The wo-dimensional domains consis
o a ec angle wi h a ci cula hole (4 cm diame e ) which ep esen s he
p obe. The flue gas comes om le o igh , hus he le edge is se as a
eloci y inle (loca ed 0.2 m, o 5 imes he p obe diame e ups eam
he p obe cen e ) and he igh edge is se as a p essu e ou le (loca ed
0.4 m, o 10 imes he p obe diame e downs eam he p obe cen e ).
The uppe and lowe edges a e se as pe iodical bounda ies so as no o
cons ain he flow (loca ed each one a a dis ance om he p obe o
0.14 m o 3.5 imes he p obe diame e ). These 2D domains a e meshed
wi h iangula -pa ed schemes ollowing wo diffe en esolu ion e-
qui emen s o ensu e he g id independency o he esul s.
The coa se (fine) 2D meshing o he domain p oceeds as ollows.
Fi s ly, he p obe pe ime e is di ided in 600 (800) elemen s, ac-
coun ing o he nume ic accu acy guidelines p oposed by Webe e al.
[3,19]. A size unc ion is hen implemen ed o con ol he size o he
iangula cells as hey a e pa ed u he away om he p obe pe i-
me e wi h a g owing a io o 1.40 (1.03). The maximum allowed cell
size a ea 35 mm
2
o bo h meshes. The esul ing 2D g id is composed o
25256 (62246) cells. Fig. 1 shows he esul ing fine mesh.
The h ee dimensional meshes a e buil based on he co esponding
wo-dimensional ones by ’s acking’o eplica ing slices o hem along
he hi d coo dina e. The hickness o he 3D domain is wice he p obe
diame e , i.e., 8 cm. The calcula ion ime o he 3D mesh inc eases mo e
han p opo ionally wi h he hi d dimension, and i is hus p ohibi i e
o inc ease i much u he . The coa se (fine) mesh is composed o 50
(70) slices o he wo-dimensional mesh, esul ing in o a slice hickness
o 1.60 (1.14) mm and a o al o 1.26 (4.24) million cells. These a e
ema kably hea y meshes o a ansien s udy. Fig. 2 illus a es he
h ee dimensional coa se mesh.
2.2. Ashes and disc e e pa icle acking
The disc e e phase model a ailable in he so wa e package is im-
plemen ed o ack and calcula e he mo ion and ajec o ies o k a
ash pa icle pa cels. I a pa cel impac s on o he p obe su ace, he use -
define ou ine DEFINE_DPM_EROSION [20] is called o pe o m he
s icking- ebound submodel b iefly desc ibed below.
Th ee diffe en ash pa icle size diame e s a e injec ed in he do-
main h ough he gas inle and a e calcula ed independen ly. The pa -
icle diame e s unde conside a ion a e 0.7, 4.0 and 40
μ
m. Wi h his
aim, mul iple independen injec ions a e se up. The dus concen a ion
in he flue gas is 8 g/m
3
o each pa icle diame e , acco ding o ypical
alues [21]. By injec ing mul iple pa icle pa cels pe each inle ace
(pppi ) i is possible o ha e a sufficien ly la ge numbe o pa cels being
acked, and hus, o ob ain a mo e s a is ically obus and less biased
esul a e simula ing he flow du ing a limi ed numbe o on Ká mán
oscilla ions [22]. Consequen ly, 10 pppi we e injec ed a each ime-s ep
o all he simula ions excep o he DES case, which was ins ead
limi ed o 3 pppi ( hus, each indi idual pa cel ep esen s a la ge
numbe o pa icles acco dingly o he same gas ash concen a ion) due
o he pa icula ly longe DES simula ion ime and he hea y calcula-
ion cos o he ajec o ies o o e 25 million pa cels in he domain
(once educed o 3 pppi ).
The s icking model app oach used in his wo k is based on he
mechanis ic model o an Beek [23] o egula pa icle impac ions,
which has been implemen ed by a numbe o au ho s wi h sa is ac o y
esul s, some o which ha e al eady been ci ed [4,9,10,24]. In addi ion,
he Kons andopoulos c i e ion o oblique impac s [25] has been con-
side ed wi h he use o he empi ical ebound co ela ions o B ach,
Dunn and Li [26,27]. This combina ion o app oaches has been used in
p e ious simula ions by he p esen au ho s. A ull desc ip ion o he
s icking- ebound ou ines implemen ed in his s udy is somewha long
and ully de ailed elsewhe e [6].
Fig. 1. Two dimensional domain wi h he fine mesh esolu ion.
Fig. 2. Th ee dimensional domain wi h he coa se mesh esolu ion.
M. Ga cía Pé ez, E. Vakkilainen Fuel 237 (2019) 806–811
807
K a fine ash is made mainly o ine alkali sul a es [21,28] and i
has been se o he ollowing p ope ies: densi y 2664 kg/m
3
, specific
hea 902 J/kg K, and he mal conduc i i y 0.0608 W/mK. Rega ding
he mechanical p ope ies o he mechanis ic s ick- ebound ou ines,
he p ope ies o K
2
SO
4
deposi s ha e been selec ed [6,23]: Young
modulus 3·1010 Pa, Poisson’s a io 0.3, Yield s ess
4
.10·108Pa, ic ion
coefficien 0.7, and su ace ene gy 0.15 J/m
2
.
The pa icle pa cels a e acked wi h a cus omized d ag law which
accoun s o he spa ial a iabili y o he pa icle Knudsen numbe Kn
and he Cunningham co ec ion ac o
C
c
[29,30]
=μ
ρd
M
RT
Kn 2.533
p
w
(1)
=+ ⎡
⎣⎛
⎝
−⎞
⎠+⎛
⎝
−⎞
⎠
⎤
⎦
C1 Kn 1.205exp 0.0026
Kn 0.425exp 0.74
Kn
c(2)
whe e
μ
ρM,, wand Ta e espec i ely he gas iscosi y, densi y, mo-
lecula weigh and empe a u e.
dp
is he pa icle diame e , and
=
R
8.31
4
J/(mol
·
K). The d ag coefficien in his s udy is hus compu ed
as −
CC
Dc
1
, whe e
C
D
is he d ag coefficien yielded by he law o Mo si
and Alexand e [31].
In addi ion, he mopho esis simula ion is enabled [32] as i has
been obse ed o be a majo deposi ion mechanism o he smalles
ypes o pa icles [5,22,33].
2.3. Cases unde s udy
Fi e diffe en simula ions a e ca ied ou in his s udy. Fou o hem
a e iden ical excep o hei mesh, in o de o pe o m a p ope com-
pa ison among hei esul s. Due o he low u bulence ( =
R
e 122
5
)an
URANS −k
ω
SST model is sugges ed [34,33]. Addi ionally, a fi h case is
execu ed using he coa se 3D mesh bu wi h a De ached-Eddy Simula-
ion (DES) u bulence model whe e he nea -wall egion u bulence is
simula ed wi h he −k
ω
SST. The inle u bulence in ensi y is 7%, and
he iscosi y a io is 10. Fo he DES case, a spec al syn hesize which
akes in o accoun he inle u bulen in ensi y has been enabled o
gene a e adequa ely fluc ua ing eloci y componen s in he inle o a
mo e ealis ic simula ion.
The simula ion pa ame e s a e summed up in Table 1. The simu-
la ed flow ime o he DES case needs o be pa icula ly longe in o de
o cap u e a less biased pa icle impac ion sample, since he flow was
no s ic ly pe iodic as i could be app ecia ed in Fig. 3. The o he cases
may be pe o med wi h a ela i ely low in ege numbe o flow oscil-
la ions due o hei pe iodici y and he la ge quan i y o independen
pa icle injec ions implemen ed.
2.4. Sol e and ou line o he model execu ion
The model is execu ed in ANSYS Fluen 18.0. The double-p ecision
sol e wi h de aul disc e iza ion schemes a e used. The ime-s ep
chosen o all simula ions is
−
1
0
4
s, calcula ing 35 i e a ions pe ime
s ep.
The li o ce o e he p obe is moni o ed as he flow wi h he
pa icles is simula ed o he poin whe e i s oscilla ions become quasi-
s able. Only om ha poin onwa ds, da a abou each pa icle pa cel
impac ion (such as geome ic coo dina es o he impac ion poin , im-
pac ion eloci ies and ebound eloci ies i applicable) on he p obe is
collec ed and egis e ed du ing a ime span o (see Table 1) o ul e io
pos p ocessing. This s a egy has been ollowed in p e ious wo k
[22,33].
3. Resul s and discussion
3.1. On he compu a ional cos s
Fig. 4 highligh s he wall-clock ime needed o compu e one ime-
s ep o flow, o ack he pa icle pa cels, and o calcula e he ebound
o ones ha equi e i . All he ime-s eps execu ions o his figu e we e
ca ied ou in he same machine, an HP P olian SL230s G8 wi h wo
p ocesso s In el Xeon E5-2660 (se ing up Pa allel Fluen wi h 16
h eads, no hype h eading was used), unning wi h Linux Cen OS 7.
I should be no ed ha he la ge numbe o pa cels being acked
(o e 167 million pa cels o he 3DF case, 89 million o he 3DC case
and 26 million o he DES) equi e a la ge amoun o a ailable RAM
memo y, which is g ea e han 128 GiB o he 3DF case. The du a ion
o a ime s ep calcula ion highligh s he somewha high imp ac icabili y
o using 3D models in his kind o cases due o he usually la ge amoun
o ime s eps o calcula e. A highe flow eloci ies, he ime s ep
du a ion migh ha e o be dec eased e en u he , en ailing an e en
la ge numbe o s eps o compu e.
3.2. Deposi ion a ound he p obe pe ime e
Figs. 5–7show he collec ed deposi ion a es o e he p obe pe i-
me e (a e aged along he hi d coo dina es o he cases using a 3D
mesh). I can be no ed how o he fi s ou cases he deposi ion is, a
leas quali a i ely, equi alen . Thus, i URANS u bulence models a e
Table 1
Summa y o execu ed simula ions. Tis he flow oscilla ion pe iod. s ands o
he flow ime o pa icle impac ion logging a e he flow s abiliza ion.
Sim. Mesh T[ms] [s] Tu bulence
2DC 2D, coa se 53.87 =T
5
0.2675 s URANS
2DF 2D, fine 53.62
=T
5
0.268
1
s URANS
3DC 3D, coa se 53.87 =T
5
0.2693 s URANS
3DF 3D, fine 54.03
=T
5
0.270
1
s URANS
DES 3D, coa se 49.84
=T25 1.24
6
sDES
Fig. 3. Tempo a y e olu ion o he ae odynamic li o ce on he p obe su ace.
Fig. 4. A e age calcula ion ime equi ed pe ime-s ep (20 ime-s eps we e
measu ed o each case), in seconds.
M. Ga cía Pé ez, E. Vakkilainen Fuel 237 (2019) 806–811
808
used, he use o 3D meshes may no be jus ified.
Howe e , he DES u bulence model seems o show in ui i ely
be e esul s as he deposi ion in he leewa d side o he p obe is
somewha mo e uni o m han in he o he cases. Al hough he lee de-
posi s a e less known and unde s ood han he wind deposi s ( ypically
less effo has been pu on measu ing hose [1]), quali a i e obse a-
ions and models ha e epo ed ha he ea deposi s acqui e a ela-
i ely uni o m o fla shape [20,35]. The e o e when accu acy is needed
o small pa icle deposi ion in he ea sides o ubes, he usage o 3D
meshes enhanced wi h DES u bulence modeling migh be necessa y.
This diffe ence in he esul s o DES e sus he URANS cases is ul-
ima ely caused by he flow field phenomena occu ing in he p obe lee.
All hese 0.7 and 4.0
μ
m pa icles showed an impac ion efficiency o e
a 99.9% consis en ly a ound he en i e pe ime e , meaning ha he DES
case is b inging ewe pa icles o he lee su ace. The mopho esis
should be disca ded as an explana ion o his phenomenon, since i s
p opensi y (as p oposed in p e ious s udies [33,35]) was showed o be
ma ginally la ge o he DES case han i was o he URANS case used
o compa ison (3DC). Mo eo e , i he mopho esis happened o be
significan ly less in ense in he DES case, hen he deposi ion diffe -
ences be ween he DES e sus he URANS cases would be, agains ob-
se a ions (Figs. 5 and 6), smalle o he 4.0
μ
m pa icles han wha
hey we e wi h he 0.7
μ
m pa icles. The e o e he easons behind
smalle a i al a es is explained by a smalle dus concen a ion in he
p obe wake o he DES case as a consequence o he diffe en flow fields
and o ex pa e ns obse ed when compa ing he wo cases a he peak
o a flow oscilla ion, as obse ed in Fig. 8: in he DES case he pa icle-
ca ying flow is ea aching he wake a u he loca ion downs eam
o m he p obe and no su ounding lee-nea by o ices, no u ning
away owa ds he p obe su ace. As i can be deduced also om he flow
li s in Fig. 3, he DES case p esen s a smalle ans e sal componen o
he flow eloci y, implying again ha ewe pa icles a e d agged o he
o ex- egion o be hen d i en he mopho e ically o deposi ion.
Obse e hose peaks o deposi ion appea ing a angles o
≈±
απ
0.55
o he bigges pa icles es ed in his s udy. Those peaks a e
a consequence o he uppe and lowe pe iodic bounda y condi ions
selec ed: as hese la ge pa icles expe ience a ebound a e impac ing
in he lee o he p obe, hey s ill possess an impo an ine ia and hus
hey a e no much d agged by he flow as hey a el nea ly pe pen-
dicula ly o i . A e hey each he uppe (lowe ) domain bounda y,
due o he pe iodical configu a ion o he model, hey impac again he
p obe on i s lowe (uppe ) side. Such an effec may no be obse ed o
he smalle pa icles since mos o hem do no ebound (o e 99% o
s icking p obabili y has been compu ed o he wo smalle pa icle
diame e s), and s ill hose which do ebound a e hen effec i ely
d agged and ca ied by he gas, no eaching hose domain bounda ies.
3.3. Deposi ion along he hi d coo dina e
I is illus a i e o analyze he pa icle a i al obse ed along he
hi d coo dina e (only applicable o he cases wi h 3D meshes). As an
example, obse e Fig. 9 which highligh s he numbe o 4.0
μ
m pa cel
impac ions on o he p obe su ace. I can be no ed ha he dependency
wi h he hi d coo dina e is negligible. Howe e , i should be s essed
ha his ac would no cons i u e a sufficien condi ion by i sel o
wa an y ha ash deposi ion may be p ope ly modeled wi h wo-di-
mensional app oaches. None heless i is a condi ion ha should be
ulfilled.
Fo all he o he possible cases and pa icle diame e s, an iden ical
independency on he hi d coo dina e was also obse ed.
3.4. Final commen s on he limi a ion o he s udy
The Fini e Volume Me hod o en implemen ed in CFD makes use o
a disc e iza ion scheme o sol e he uns eady Na ie –S okes equa ion
sys em. A each i e a ion, hese equa ions a e applied using he dis-
c e iza ion schemes in o de o build an algeb aic sys em o equa ions.
The size o his sys em is di ec ly ela ed o he numbe o mesh cells.
Thus, quali a i ely, he cos o sol ing a mesh may g ow app oxima ely
wi h he cube o i s size. On he o he hand, his size o a 3D mesh may
be ypically a ound a couple o o de s o magni ude la ge han ha o a
2D mesh. Conside ing also ha he calcula ions mus be uns eady o a
p ope de e mina ion o he smalles pa icle ajec o ies, he o en-
made 2D assump ion is equen ly ega ded as necessa y in li e a u e,
especially wi h limi ed compu ing esou ces. Howe e some s udies
migh be aking his decision in cases whe e i is no alid.
The simula ions o his s udy could be execu ed in a clus e o
compu e s wi h a easonably good pe o mance. S ill, i ook se e al
mon hs o calcula ion o comple e due o he e y high compu a ional
demand o he 3D cases. We would ha e p e e ed o conduc a mo e
comple e s udy wi h a sensi i i y analysis on he numbe o ubes in a
ow, he dep h o he domain along he hi d coo dina e, and he inle
Fig. 5. Deposi ion a es o e he p obe pe ime e o 0.7 μm pa icles.
Fig. 6. Deposi ion a es o e he p obe pe ime e o 4.0 μm pa icles.
Fig. 7. Deposi ion a es o e he p obe pe ime e o 40 μm pa icles.
M. Ga cía Pé ez, E. Vakkilainen Fuel 237 (2019) 806–811
809
fluid eloci y. Un o una ely i is ye no easonable o pe o m a s udy
which would comp ise all hese analyses wi h he compu a ional cap-
abili y a ailable in a ypical esea ch o ganiza ion. The conclusions
d awn in his s udy a e alid o he pa icula implemen ed scena io. I
would be desi able, o ins ance, o compa e he 2D and 3D cases wi h
highe gas eloci ies; bu as he eloci y inc eases, bo h he equi ed
mesh and he ime-s ep esolu ion mus become e en fine [19] en-
ailing an inc ease on he compu a ional cos s p opo ionally, ap-
p oxima ely, o he gas eloci y aised o he fi h powe . Addi ional
wo k should be ca ied on o es he alidi y o his assump ion in a
a ie y o ypically encoun e ed cases o ha e a mo e p ope scien ific
confidence on he alidi y o he 2D o URANS simplifica ions.
4. Conclusions
The 2D mesh simplifica ion o he ash deposi ion CFD models is
ound equen ly in li e a u e. This s udy has made an a emp o assess
i s alidi y by pe o ming CFD models o e he same case. The con-
ibu ion o his wo k is unde lined by:
•compa ing 2D and 3D esul s o e he same case s udy,
•pe o ming uns eady flow simula ions,
•using fine g ids and confi ming he g id-independency o he esul s,
and
•implemen ing a mechanis ic pa icle s ick– ebound ou ine;
The e is a lack o s udies in li e a u e wi h models analyzing he ash
deposi ion wi h his combina ion o ea u es. Un o una ely we did no
ha e any empi ical da a a disposal o his pa icula p obe o con as
he esul s. None heless his wo k was aimed mo e owa ds highligh ing
he possible diffe ences among modeling app oaches han owa ds he
de elopmen o a new one.
Fig. 8. Ins an aneous gas eloci y fields and ec o s o a peak o an oscilla ion wi h minimum (peak) li o he 3DC ( op) and DES (bo om) simula ions, in he
domain middle plane o he hi d coo dina e. No e how o he 3DC case, he gas s eam expe iences a mo e sudden di ec ion change owa ds he wake o he p obe
ca ying pa icles in o he o ices; whe eas o he DES simula ion his wake en ainmen occu s u he downs eam, wi h a lowe eloci y and so e o ices.
Fig. 9. Numbe o pa icle pa cel impac s on he h ee-dimensional p obe
su ace as a unc ion o he p obe angle and he hi d coo dina e (along he
p obe). Case 3DF, 4
μ
m pa icles. The mass o each impac ion pa icle pa cel o
his case and diame e is
−
1
.776·10
12
kg.
M. Ga cía Pé ez, E. Vakkilainen Fuel 237 (2019) 806–811
810
Fo he pa icula case s udy o a deposi ion p obe in a k a e-
co e y u nace, i has been ound ha he wo-dimensional simplifi-
ca ion i sel did no yield impo an diffe ences in he esul s, bu he
usage o a mo e elabo a ed, h ee-dimensional u bulence model (DES
e sus URANS) did ha e an effec on he leewa d side o he deposi . I
is hus possible ha he 2D simplifica ion is jus ified o cases wi h big
pa icles (a leas 10
μ
m) and/o in ense u bulence. Howe e , i p ecise
accu acy is essen ial, a 3D g id wi h a DES u bulence model may be
equi ed o ume ash pa icles and mild u bulence. The e o e i is o
high in e es o ca y ou addi ional wo k co obo a ing he alidi y o
he 2D simplifica ion wi hin a a ie y o geome ies, inle flow elo-
ci ies and u bulence in ensi ies.
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