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Eprints ID : 14533
To link to this article : DOI :
10.1016/j.jcp.2015.10.050
URL :
http://dx.doi.org/10.1016/j.jcp.2015.10.050
To cite this version : Guo, Jianwei and Veran-Tissoires, Stéphanie and
Quintard, Michel Effective surface and boundary conditions for
heterogeneous surfaces with mixed boundary conditions. (2016)
Journal of Computational Physics, vol. 305. pp. 942-963. ISSN
0021-9991
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Effective
surface
and
boundary
conditions
for
heterogeneous
surfaces
with
mixed
boundary
conditions
Jianwei Guo
a,
Stéphanie Veran-Tissoires
a,
b,
∗
,
Michel Quintard
a,
c aUniversitédeToulouse,INPT,UPS,IMFT(InstitutdeMécaniquedesFluidesdeToulouse),31400Toulouse,France bDepartmentofCivilandEnvironmentalEngineering,TuftsUniversity,Medford,MA02155,UnitedStates cCNRS,IMFT,31400Toulouse,Francea
b
s
t
r
a
c
t
Keywords: Heterogeneoussurface Multi-domaindecomposition Closureproblems EffectivesurfaceEffectiveboundaryconditions
To dealwith multi-scaleproblems involvingtransport fromaheterogeneous and rough
surface characterized by a mixed boundary condition, an effective surface theory is
developed, which replacesthe original surface by a homogeneousand smooth surface
withspecificboundaryconditions.Atypicalexamplecorrespondstoalaminarflowovera
solublesaltmediumwhichcontainsinsolublematerial.Todeveloptheconceptofeffective
surface, amulti-domain decompositionapproach isapplied. Inthisframework, velocity
andconcentrationatmicro-scaleareestimatedwithanasymptoticexpansionofdeviation
termswithrespecttomacro-scalevelocityandconcentrationfields.Closureproblemsfor
the deviations are obtained and used to define the effective surfaceposition and the
relatedboundaryconditions.The evolution ofsomeeffective propertiesand the impact
of surface geometry, Péclet, Schmidt and Damköhler numbers are investigated. Finally,
comparisonsaremadebetweenthenumericalresultsobtainedwiththeeffectivemodels
andthosefromdirectnumericalsimulationswiththeoriginalroughsurface,fortwokinds
ofconfigurations.
1. Introduction
Transportphenomenatakingplaceoverheterogeneous andrough surfacescan befound inawide rangeofprocesses,
suchasdissolution,dryingorablationtociteafew.Thesurfacecharacteristiclength-scale(linkedtotheheterogeneities)is
generallymuchsmallerthanthescaleoftheglobalmechanism.Inthesecircumstances,directnumericalsimulations(DNSs)
becomedifficulttoachieveinpracticalapplications.Indeed,DNSsareonlypossiblewhenthetwolength-scaleshavemore
orlessthesameorderofmagnitude.Toovercomethisdifficulty,atraditionalwayofsolvingsuchproblemsistoincorporate
themicro-scalebehaviorsintoaboundaryconditionoverasmooth,“homogenized”oreffectivesurface.
In[1–3],domaindecompositionandmulti-scaleasymptoticanalysiswerefirstintroducedtodevelopaneffectivesurface
andthe associatedboundaryconditionsfortheflowover aroughsolid–liquid surface.Later,theeffectivesurface concept
wasusedtodescribeablationprocessesinaerospace[30]andnuclearsafety[15]contexts.Differentfromtheseworkswhich
employedasymptoticmethod,Woodetal.[33]obtainedaspatiallysmoothedjumpconditionfortheoriginallynon-uniform
surfacewithvolumeaveragingtechnique.Forsakeofsimplicity,mostofthepreviousstudiesignoredthegeometrychanges
*
Correspondingauthor.E-mailaddress:stephanie.veran@u-bordeaux.fr(S. Veran-Tissoires).
Nomenclature
Roman symbols
A closure variable for the velocity
(dimension-less)
a closurevariablefortheconcentration
(dimen-sionless)
Aβγ surfaceareaofthesolublematerialin
Äi
m2Aβσ surfaceareaoftheinsolublematerialin
Äi
. . . m2 B closurevariableforthevelocity . . . mb closurevariablefortheconcentration . . . m
br roughnesswidth . . . m
c concentrationofthedissolvedspeciesdefined
in
Ä
. . . kg m−3ceq thermodynamicequilibriumconcentrationof
thedissolvedspecies . . . kg m−3
ci concentrationofthedissolvedspeciesdefined
in
Äi
. . . kg m−3˜
ci concentrationdeviationofthedissolved
speciesin
Äi
. . . kg m−3c0 concentrationofthedissolvedspeciesdefined
in
Ä
0. . . kg m−3D diffusioncoefficientofthedissolved
species . . . m2s−1
Da Damköhlernumber(dimensionless)
Dav
eff effective Damköhler number at
6
effv(dimen-sionless)
c
Da meanDamköhlernumberover surface
6
(di-mensionless)
e1 unitnormalvectorlinkedtox (dimensionless)
e2 unitnormalvectorlinkedtoy (dimensionless)
hr roughnessheight . . . m
k reactionratecoefficientat
6
. . . m s−1kγ reactionratecoefficientat
6
βγ . . . m s−1kσ reactionratecoefficientat
6
βσ . . . m s−1k0
eff effectivereactionratecoefficientat
y
=
0 . . . m s−1kceff effectivereactionratecoefficientat
6
ceff. . . m s−1keffv effectivereactionratecoefficientat
6
effv . . . m s−1kw
eff effectivereactionratecoefficientat
y
=
w . . . m s−1ˆ
kv surfaceaveragereactionratecoefficientat
6
effv . . . m s−1l micro-scalecharacteristiclength . . . m
li widthof
Äi
. . . mL macro-scalecharacteristiclength . . . m
m closurevariableforthepressure . . . Pa s m−1
nls unitnormalvectoron
6
pointingtowardsthesolid(dimensionless)
n0,i unit normal vector on
6
0,i pointing towardsthewall(dimensionless)
p pressuredefinedin
Ä
. . . Pap0 pressuredefinedin
Ä
0. . . Papi pressuredefinedin
Äi
. . . PaPel micro-scalePécletnumber(dimensionless)
˜
pi pressuredeviationdefinedin
Äi
. . . PaRel micro-scaleReynoldsnumber(dimensionless)
ReL macro-scaleReynoldsnumber(dimensionless)
s closurevariableforthepressure . . . Pa s
Sc micro-scaleSchmidtnumber(dimensionless)
u fluidvelocitydefinedin
Ä
. . . m s−1ui fluidvelocitydefinedin
Äi
. . . m s−1˜
ui fluidvelocitydeviationin
Äi
. . . m s−1 u0 fluidvelocitydefinedinÄ
0. . . m s−1U magnitudeofmacro-scalevelocity . . . m s−1
wcx distancebetween
6
0 and6
effc . . . mwv
x distancebetween
6
0 and6
effv . . . mx abscissa . . . m
y ordinate . . . m
Greek symbols
β
subscriptreferringtothefluidphaseδ
effectivesurfaceposition . . . mδc
positionof effectivesurface underthermody-namicequilibrium(dimensionless)
δv
positionofeffectivesurface withno-slipcon-dition(dimensionless)
γ
subscriptreferringtosolublephaseσ
subscriptreferringtoinsolublephaseµ
fluiddynamicviscosity . . . Pa sÄ
globaldomainÄ
0 subdomainassociatedwithlengthscaleLÄi
pseudo-periodicunitcellρ
fluiddensity . . . kg m−3ρ
γ densityofsolublemedium . . . kg m−3ρ
σ densityofinsolublematerial . . . kg m−36
roughsolid–liquidinterface6
βγ interfacebetweenβ
andγ
phases6
βσ interfacebetweenβ
andσ
phases6
0 fictitioussurfaceseparatingÄ
0 andÄi
6
0,i restrictionof6
0inÄi
6e
uppersurfaceofÄ
6
effc effective surface under thermodynamicequi-librium
6
effv effectivesurfacewithno-slipboundarycondi-tion
6l
lateralsurfaceofÄ
andconsideredfixed boundaries. Ina few studies,thesegeometrychanges were takenintoconsideration. Vignolesetal.
[31]ranDNSsforablationofheterogeneousmedia.ArecentstudybyKumaretal.[21]alsoconsideredgeometrychanges
explicitlywhenupscalingthereactiveflowinadomainwithoscillatingboundaries,usingmatchedasymptoticexpansions.
Whiletherearesomesimilarities,oneshouldnotmixthesolid–liquidproblemwiththeproblemoffluidflowingovera
porousmediumdomain.Forthislattercase,oneseekstolinkamacro-scaledescriptionoftheflowintheporousmedium
(e.g.Darcy’slaw) to afree fluid flowdescription inthe channel(e.g., Navier–StokesorStokes equations).Different
effec-tiveboundaryconditionshavebeenproposed [6,10,26]forthe momentumbalanceequations.Formaldevelopmentsusing
homogenizationtechniques can be found in[10,17,18,20,26]. Different upscaling methods such asvolume averaging and
asymptoticexpansionshavebeenimplementedinordertoobtaineffectiveboundaryconditionsforvarioustransport
prob-lems[1,9,13,24,25,29,32].
In this work, the problem under consideration is mass andmomentum transfer in a laminar boundary layer over a
heterogeneousrough surface withmixedboundary conditions.Partof thesurface issubject to a Dirichletconditionora
reactive Neumannconditionwhilethe restissubject to a no-fluxNeumann condition.Such problemsarise, forinstance,
whendealingwithdissolutionprocesses,especiallyonlarge-scalecavityformationingeologicalstructures(solutionmining,
karstformations,etc.).Thegeometry,propagationandsome otheraspectsrelatedtoroughnessesgeneratedbydissolution
were studied experimentally andtheoretically in [7]. A similar mathematical problem appears when one considers the
dryingrateofaporoussurfacewithwetanddrypatches[27]orforatmosphere-scaleproblems[5].Takingthedevelopment
ofkarsticcavityforexample, itofteninvolves multi-scaleproblemsasschematically represented inFig. 1.It is generally
difficulttotake intoconsiderationthesmall-scaleheterogeneitiesoverthewall surfacewhileworkingatthecavityscale.
Therefore,theimplementedmodelsofsuchdissolutionproblemstakeinpracticetheformofaneffectivesurfacemodeling,
witha heuristic boundary condition. In generalone uses the Dirichletconditionas themacro-scale boundarycondition,
evenifheterogeneities(e.g.,insolublematerial)androughnessesarepresent. Thepositionoftheeffectivesurface itselfis
guidedbymeshingconsiderationwithoutan explicitlinktothephysicsoftheproblem.Thesequestionsareaddressedin
thispaperandamethodologyisproposedtobuildandpositiontheeffectivesurfacewithappropriateboundaryconditions.
Twolengthscalesareimportanttodescribethephenomenatakingplaceattherough surface:oneisthecharacteristic
lengthofthelarge-scalecavity,L,forinstancethedepthofthelarge-scaleboundarylayerdevelopingovertheroughsurface,
andthe otherone istheroughnesslengthscale l.As illustratedinFig. 1,a fluid
β
indomainÄ
isflowingover arough,heterogeneoussurface
6
,madeofasaltmediumγ
andaninsolublematerialσ
.Masstransportovertheroughsurfaceincontactwiththefluid canbemodeledbydifferentboundaryconditions.IncaseI, thesurfaceisassumedtobecomposed
bypatches underthermodynamic equilibrium(
6
βγ ), withsurroundingareaswithnoflux(6
βσ ).IncaseII,theboundaryconditionat
6
βγ isreplacedbyareactiveone.Generally,thesurfacedissolutionrateofachemicalspeciescanbeexpressedundertheform[16,22]:
Rdiss
=
ksµ
1−
cs ceq¶
n (1)wherecsisthetotalchemicalconcentrationatthesurface,ceq theequilibriumconcentrationwithrespecttothedissolving
speciesandks thesurfacereactionratecoefficient.
Thesteady-statemassandmomentumtransferproblemcanbedescribedasfollows
PbIin
Ä
ρ
(
u· ∇)
u−
µ
△
u+ ∇
p=
0 inÄ
(2)∇ ·
u=
0 inÄ
(3) u· ∇
c= ∇ · (
D∇
c)
inÄ
(4) u=
0 at6
(5) (B.C. I) c=
ceq at6
βγ (6) or (B.C. II)−
nls·
D∇
c= −
kγceq¡
1−
cceq¢
at6
βγ (7)−
n·
D∇
c=
0 at6
e, 6
βσ and6
r (8) c=
0 at6
l (9) n· (−
pI+
µ
(∇
u+ ∇
uT)) =
0 at6
eand6
r (10) u=
U0e1 at6
l (11)where,kγ isthereactionratecoefficientinm s−1,n isthenormalvectorpointingoutwardfromthestudieddomainat
6e
,6l
,6r
andthelatermentioned6l
,i,andU0 denotesthemagnitudeoftheinletvelocity.Onehasn=
nls at6
βσ ,withnlsthenormalvectorof
6
pointingtowardsthesolidphase.B.C.IandB.C.IIrefertocaseIandcaseIIproblems,respectively.Itisworthynoticingthatthenofluxconditionat
6e
andtheconstantvelocityconditionat6l
arenotunique,whichcanFig. 1. Multi-scale description of the system. The dissolving medium is denoted asγ-phase and the non-dissolving part asσ-phase.
Fig. 2. Close-up view of the velocity field near the rough surface.
Eq. (7) hasa form similar to the rate laws proposed in [11,12,28] forlimestone andgypsum dissolution. First order
reaction,i.e.,n
=
1,isconsideredinthisstudy.Additionalassumptionsareused:thefluidisincompressibleanditsphysicalpropertiesdonotvarysignificantlywithconcentration.Hydrostaticpressurehasbeenincludedinthefieldp.Whilewehave
inmindpotentialevolutionofthesurface
6
duetothedissolutionprocess,itwasassumedthattherelaxationtimeforthetransportproblemissmallerattheroughnessscalethantheoneofthedissolutionprocess.Therefore,thetransportproblem
is consideredatsteady-statefora givengeometry. Suchan assumptionis validwhen themomentumbalance problemis
independent oftheconcentrationfield, i.e., thevelocityofgeometryevolution issmallcomparedtothe relaxationofthe
viscousflow.Forinstanceinthecaseofgypsumdissolutioninwater,thecharacteristictimesfortheviscousflowrelaxation
and theinterface dissolutionare about 1s and 104 s, respectively, fora characteristiclength of 1 mm.This example is
representativeofourconsideredcondition.Theevolutionofthegeometryisnotwithinthescopeofthispaper.
Atypicalsolutionofthismulti-scaleproblemwouldfeaturelarge-scaleevolutionofthepressure,velocityand
concentra-tionfarfromthesurfaceanddeviationsfromthislarge-scalepatternintheneighborhoodoftheroughnesses.Thissituation
isschematicallyrepresentedinFig. 2.Abulkdomain
Ä
0 isdefinedwherethevariablesdonotshow fluctuationsinducedbytheroughnessesatthel-scale,andaseriesofelementaryvolumes
Äi
aredefinedwhichcontainthewallperturbations,roughnessandheterogeneity.Assumingperiodicityistypicalofmostsituationsandthisassumptionisadoptedinthis
pa-per.Clearly,thissuggeststhat somekindofeffectiveboundaryconditionmaybeimposedatthesurfaceof
6
0 inordertoreproducethe samebulkfields.Onetechniqueto deriveeffectivesurfaceandeffectiveboundaryconditionsisbasedona
multi-domaindecompositionmethod,asillustratedby[1,15,30].Theideaistosolvetheflowandmasstransportproblems
ineach
Äi
byintroducinganasymptoticexpansionofdeviationtermsbasedonthemacro-scalebulkvelocityandconcen-tration fields.Ingeneral,closureproblemsmaybefoundforvariablesmappingthedeviationsontothebulk variablesand
theirderivatives.Thiscanbeusedtoprovideasetofeffectiveboundaryconditionsappliedattheboundary
6
0.Itisofteninteresting toplace theeffectivesurface inalocation differentfrom
6
0 forsake ofefficiency,whichwill bediscussed inSection3.EffectiveparametercalculationswillbeprovidedinSection4.Finally,twocomparisonsofdirectnumerical
sim-ulationsresultsandeffectivesurfaceresultsaregiveninSection5,whichallowsustodiscussthepracticalimplementation
oftheeffectivesurfacemodel,andinparticularthechoiceofthe“optimal”positionoftheeffectivesurface.
2. Multi-domaindecomposition
As previously introduced, the characteristic length-scale of the rough heterogeneous surface, l, is much smaller than
the one of the globaldomain
Ä
, L, e.g., the depth of the large-scale boundary layer. Therefore,we can assume that allfluctuationsofvelocityandconcentrationresultingfromthewallnon-uniformity vanishfarfromthewall.The
Ä
domainmaybedecomposedintoaglobalexternalsubdomain
Ä
0 (with⋆
0quantities)andlocalsubdomainsÄi
(with⋆i
quantities)by introducing an arbitrarysurface
6
0,as done in[1,15,30].Surface6
0 should be locatedat an appropriate positiontoensurethat allfluctuationsarecontainedin
Äi
subdomainsandthat theassumptionl≪
L is valid.ThisdecompositionisillustratedinFig. 3.
With theassumption that thewall surface
6
has a periodicstructure, the initial problemcanbe decomposed intoaFig. 3. Multi-domain decomposition.
is sketchedin Fig. 3. Vectore1 (x-coordinate) corresponds to the infinite flow direction, e2 ( y-coordinate)and n0,i, the
normalvectorto
6
0,i,arepointingfromÄ
0 towardsÄi
.Velocity, pressure,concentration, massfluxandstresstensorarecontinuousacrossthefictitioussurface
6
0,i,whichreferstotheintersectionbetweenÄ
0 andÄi
:u0
=
ui (12)p0
=
pi (13)c0
=
ci (14)n0,i
· (−
D∇
c0+
u0c0) =
n0,i· (−
D∇
ci+
uici)
(15)n0,i
· (−
p0I+
µ
(∇
u0+ ∇
uT0)) =
n0,i· (−
piI+
µ
(∇
ui+ ∇
uTi))
(16)Withthesecontinuity conditionstaken intoaccount, thedecomposed
Ä
0 andÄi
problemscan be writtenseparately asfollows:
PbII(in
Ä
0)(i.e.,macro-scaleproblem)ρ
(
u0· ∇)
u0−
µ
△
u0+ ∇
p0=
0 inÄ0
(17)∇ ·
u0=
0 inÄ0
(18) u0· ∇
c0= ∇ · (
D∇
c0) inÄ0
(19) c0=
0 at6
l/ Ä
0 (20)−
n·
D∇
c0=
0 at6
eand6
r/ Ä
0 (21) n· (−
p0I+
µ
(∇
u0+ ∇
u0T)) =
0 at6
eand6
r/ Ä
0 (22) u0=
U0e1 at6
l/ Ä
0 (23)where,
6l/ Ä
0 and6r/ Ä
0denotethepartsoflateralboundariescontainedinÄ
0.PbIII(in
Äi
)(i.e.,micro-scaleproblem)ρ
(
ui· ∇)
ui−
µ
△
ui+ ∇
pi=
0 inÄ
i (24)∇ ·
ui=
0 inÄ
i (25) ui· ∇
ci= ∇ · (
D∇
ci)
inÄ
i (26) ui(
x+
li) =
ui(
x)
at6
l,i (27) pi(
x+
li) =
pi(
x)
at6
l,i (28) n· (−
piI+
µ
(∇
ui+ ∇
uiT)) =
0 at6
l,iand6
0,i (29) ci(
x+
li) =
ci(
x)
at6
l,i (30) ui=
0 at6
(31)−
n·
D∇
ci=
0 at6
βσ and6
l,i (32) (B.C. I) ci=
ceq at6
βγ (33) or (B.C. II)−
nls·
D∇
ci= −
kγceq¡
1−
cceqi¢
at6
βγ (34)Theperiodic boundaryconditionsarebasedontheassumptionthatthetransverseflux through
6l
,i isnegligiblecom-paredtotheoneacross
6
0,i.SolvingtheseproblemsinadirectmannerwillmakelittlebenefitcomparedtoDNSs.Togaincomputationalefficiency,
one should seek forgeneric expressions of variables in
Äi
subdomains anddescribe the microscopic behaviorsby somekindofaveraging,insteadofconsideringallthedetails inducedby thesurfacenon-uniformity.Asymptoticexpansionsare
usedinthenextsectiontoestimateui andciatfirstorder.Bysolvingtheclosureproblems,theseestimatesarefoundand
effectiveboundaryconditionsarebuiltforeffectivesurfacesdefinedatdifferentpositions.
3. Effectiveboundaryconditions
Since first proposed by Carrau [8], effectiveboundary conditions,or walllaws, havebeen theresearch topic ofmany
scholars. With a multi-domain decomposition technique and an asymptotic approach, Achdou et al. [1–4] studied both
mathematically and numerically the problemof laminar flows over periodic rough surfaces withno-slip condition. This
problemwasreviewedbyJäger andMikeli ´c,includingtheproblemoftheinterfacebetweenaliquiddomainandaporous
domain [18–20]. Veran etal. [30] andIntroïni et al.[15] developed the concept ofeffectivesurface formomentum and
mass(orheat)transferonarough surface,withaparticularattentiononthequestion ofpositioningtheeffectivesurface.
Thispapermakesuseofsimilarideas,incorporatingnotonlythereactivecaseasin[30](withadifferentexpressionofthe
reactionratesuitablefordissolutionproblems),butalsothecaseofsurface underthermodynamic equilibriumandtaking
intoaccountpartsofthesurfacecorrespondingtoinsolubleornon-reactivematerial.
In this section, the momentum andmass transfer problems are solved separately.Assuming that the flow properties
are independent of c,the momentum problemcan be decoupled fromthe mass transport one. The momentumtransfer
problemhasalreadybeenworkedoutintheabovecitedliterature.Therefore,thedevelopment isreviewedrapidlyforthe
reader’sunderstanding,followingnotationsandpresentationproposedin[15,30].First,estimatesofui andpiaremadeby
thesumofmacroscopictermsanddeviations.ThenthemacroscopictermsaredevelopedbyTaylorexpansionfrom
6
0.Thedeviationtermsaredecomposedbymeansofclosuremappingvariables.Closureproblemsarethenusedtogetfirstorder
estimatesofthedeviations,andthisinturncanbe usedtodeterminetheeffectiveboundaryconditions.Theproblemfor
masstransferissolvedinasimilarmanner.
3.1. Momentumeffectiveboundaryconditions
Asdetailedpreviously,themicro-scalevariablesarepartitionedasshownbelow
ui
=
u+ ˜
ui,
pi=
p+ ˜
pi (35)where,u
˜
i,p˜
iandlatermentionedc˜
iarethedeviations,definedasthedifferencebetweenmicro- andmacro-scalevariables.Theglobalfieldu andp areequaltou0 andp0in
Ä
0 andaresmoothcontinuationsofthesefieldsinÄi
.Approximatinguandp in
Äi
withTaylorexpansioninthenormaldirectionto6
0,uiandpi canbeestimatedasui
=
u0|y=0+
y· ∇
u0|y=0+
1 2yy· ∇∇
u0|y=0+ · · · + ˜
ui (36) pi=
p0|y=0+
y· ∇
p0|y=0+
1 2yy· ∇∇
p0|y=0+ · · · + ˜
pi (37)Firstorderestimatesofuiandpi are
ui
=
u0|
y=0+
y· ∇
u0|
y=0+ ˜
ui,
pi=
p0|
y=0+
y· ∇
p0|
y=0+ ˜
pi (38)In a developedboundary layer, the velocity ismainly tangential andthe gradients forboth velocity andpressure are
dominatedbythecomponentsnormaltothewall,i.e., ∂
∂x
≪
∂∂y.Therefore,thefirstordertermoftheaboveestimatescanberewrittenas y
· ∇
u0|y=0=
y∂
u0∂
y¯
¯
¯
y=0e1, y· ∇
p0|y=0=
y∂
p0∂
y¯
¯
¯
y=0 (39)Takingintoconsiderationtheno-slipboundaryconditiondescribedby Eq.(31),thefollowingrelationbetweenthe
dif-ferentvelocitiesmaybewrittenintermsoforderofmagnitude
O
¡
u˜
i¢
=
O¡
u0|
y=0¢
=
Oµ
l LU¶
(40)withU denotingthemagnitudeoftheglobalvelocityu andL thedepthofthebulkflowboundarylayer.
Inorderto characterizetheflow featuresatthedifferentlength-scales, themacro- andmicro-scaleReynolds numbers
estimatedlinearlyascomparedtoU .Fromthesetwodefinitions,onecanwriteimmediately
Rel
=
ǫ
2ReL (41)Assumingtheflow islaminarimpliesthattheboundary layerthicknessscalesasRe−
1 2
L .Taking intoconsiderationalso
that
ǫ
≪
1 due to the assumption of l≪
L, one obtains ReL≪
ǫ
−2. By substituting this relation into Eq. (41), it givesRel
≪
1.SubstitutingtheapproximationsofuiandpidefinedbyEq.(35)intoEq.(24)andthensubtractingEq.(2)give
ρ
(
u· ∇) ˜
ui+
ρ
¡
˜
ui· ∇
¢
u+
ρ
¡
u˜
i· ∇
¢
˜
ui−
µ
△ ˜
ui+ ∇ ˜
pi=
0 inÄ
i (42)whichcanbeexpressedinadimensionlessformas
Rel
¡
u′· ∇
′¢
u˜
′i+
Rel¡
˜
u′i· ∇
′¢
u′+
Rel¡
˜
u′i· ∇
′¢
u˜
′i− △
′u˜
′i+ ∇
′p˜
i′=
0 inÄ
i (43)withthedimensionlessvariables(
⋆
′quantities)definedasu′
=
uǫ
U,
∇
′=
l∇,
u˜
′ i=
˜
uiǫ
U,
p˜
i ′=
p˜
ilµǫ
U (44)GiventhatRel
≪
1,Eq.(43)canbesimplifiedbyomittingthefirstthreeterms.Goingbacktothedimensionalform,wehave
−
µ
△ ˜
ui+ ∇ ˜
pi=
0 (45)HerebytheNavier–StokesequationshavebeentransformedintoaStokesproblemin
Äi
,similarlytothatproposedin[15,18,30].
TheotherequationsoftheboundaryvalueproblemcanbeobtainedbyanalogytoEq.(42),andtheycanbesummarized
as
PbIII˜ui (in
Äi
):−
µ
△ ˜
ui+ ∇ ˜
pi=
0 inÄ
i (46)∇ · ˜
ui=
0 inÄ
i (47) n· (− ˜
piI+
µ
(∇ ˜
ui+ ∇ ˜
uiT)) =
0 at6
0,iand6
l,i (48)˜
pi=
0 at6
0,i (49)˜
ui(
x+
li) = ˜
ui(
x)
at6
l,i (50)˜
pi(
x+
li) = ˜
pi(
x)
at6
l,i (51) u0|
y=0e1+
y∂∂uy0¯
¯
y=0e1+ ˜
ui=
0 at6
(52)So far, theresolution of thisset of equationsstill remains expensive, due to thecoupling of micro- and macro-scale
variables. As discussedin [15],and giventhe linear structure ofthe problem, the macroscopic termscan be considered
tobe generators ofthedeviations.From Eq.(52),itis obviousthatifthe termswithmacroscopicvariables arezero,the
deviationsofvelocity andpressure willboth gozero.Therefore, thedeviationterms canbe representedin thefollowing
form:
(
1)
u˜
i=
Au0|y=0+
B∂
u0∂
y¯
¯
y=0,
(
2)
p˜
i=
mu0|y=0+
s∂
u0∂
y¯
¯
y=0 (53)Closureproblemsforclosurevariables
(
A,
m)
and(
B,
s)
aregivenbyPbIII(A,m)andPbIII(B,s)aspresentedinAppendix B, obtainedbysubstitutingEq.(53)intoPbIII˜ui andcollectingtermsinvolvingu0|y
=0and∂u0
∂y
¯
¯
y=0,respectively.Atthispoint, onecanseethat(
A,
m) = (−
e1,
0)
isasolutionforclosureproblemPbIII(A,m).InsertingthissolutionintoEq.(53)(1)gives˜
ui= −
u0|
y=0e1+
B∂
u0∂
y¯
¯
y=0 (54)Accordingtovelocity continuityat
6
0,i,wehaveu˜
i|y=0=
0.Byintroducing wvx= −
B|y
=0,withB the x-componentofB,thevelocityat
6
0,icanbewrittenasu0|y=0
=
u0|y=0e1= −
wvx∂
u0∂
y¯
¯
y=0e1 at6
0,i (55)Fig. 4. Schematic illustration of the position of the different effective surfaces, whereδvandδcare not normalized with respect to hr.
Following [15,30], it is interesting to look atthe modification of thisboundary conditionfor another position ofthe
effective surface.For agiveneffective surface
6
eff definedat position y=
w,a firstorder Taylorexpansion allows ustowrite u0
|
y=w=
u0|
y=0+
w∂
u0∂
y¯
¯
y=0e1 (56)whichcanberewrittenas
u0
|
y=w=
¡
w−
wvx¢ ∂
u0∂
y¯
¯
y=0e1at6
eff (57) bysubstitutingEq.(55).Up tothispoint, thehomogenizationprocedureenablesto buildthe effectivemomentumboundaryconditions,which
dependonthechoiceoftheeffectivesurfaceposition.Itisseenthat atthepositiondefinedby y
=
wvx onecanrecovera
no-slipboundarycondition(cf.Fig. 4),whichplaysanimportantroleinthemacro-scalesimulationsasshownlater.
3.2. Masseffectiveboundarycondition
Inthissection,thesamehomogenizationmethodisappliedtothemasstransferproblem.Firstorderestimateforci can
bewrittenas ci
=
c0|
y=0+
y∂
c0∂
y¯
¯
y=0+ ˜
ci (58)Consequently,Eq.(26)canbetransformedinto
v
∂
c0∂
y¯
¯
y=0+
ui· ∇ ˜
ci= ∇ ·
¡
D∇ ˜
ci¢
(59)withv
=
ui·
e2.Themassboundaryconditionscanberewrittenas−
n·
¡
D∂c0 ∂y¯
¯
y=0e2¢
−
n·
D∇ ˜
ci=
0 at6
βσ and6
l.i (60)˜
ci(
x+
li) = ˜
ci(
x)
at6
l,i (61)˜
ci=
0 at6
0,i (62) (B.C. I) c0|
y=0+
y∂∂cy0¯
¯
y=0+ ˜
ci=
ceq at6
βγ (63) or (B.C. II)−
nls·
µ
D∂
c0∂
y¯
¯
y=0e2¶
−
nls·
D∇ ˜
ci= −
kγceqÃ
1−
c0|
y=0+
y ∂c0 ∂y|
y=0+ ˜
ci ceq!
at6
βγ (64)which mustbecompleted withthemomentumequations,such astheNavier–Stokesequation illustratedby Eq.(24)and
thecorrespondingboundaryconditionsillustratedbyEqs.(29)and(31).Tosolvethisproblem,asolutionforc
˜
i shouldbesoughtbylinkingthedeviationtothemacroscopicconcentration,whichwrites
˜
ci=
a(
c0|y=0−
ceq) +
b∂
c0∂
y¯
¯
y=0 (65)wherea andb arefirst-ordermappingvariables.
SubstitutingEq.(65)intoEqs.(60),(63)and(64),weget
−
n·
¡
D∂c0 ∂y¯
¯
y=0(
e2+ ∇
b)
¢
−
n·
D¡
c0|
y=0−
ceq¢
∇
a=
0 at6
βσand6
l.i (66) (B.C. I)(
1+
a)(
c0|
y=0−
ceq) + (
y+
b)
∂∂cy0¯
¯
y=0=
0 at6
βγ (67)or (B.C.II)
−
nls·
³
D∂c0 ∂y¯
¯
y=0(
e2+ ∇
b)
´
−
nls·
D¡
c0|
y=0−
ceq¢
∇
a=
kγceqµ
(1+a)¡c0|y=0−ceq¢+(b+y) ∂c0 ∂y|y=0 ceq¶
at6
βγ (68)andthe problemmaybe transformedintotwoindependent problemsfora andb,i.e., PbIIIa andPbIIIb aspresentedin
Appendix C.Itcanbenotedthatb
= −
y isasolutionofPbIIIbandconsequentlycicanbesimplyexpressedasci
=
a¡
c0|y=0−
ceq¢
+
c0|y=0 (69)Consideringu0
=
ui andc0=
ci at6
0,i,themassfluxbalancedescribedbyEq.(15)canberewrittenasn0,i
· (−
D∇
c0) =
n0,i· (−
D∇
ci)
at6
0,i (70)whichcanbetransformedinto
n0,i
· (−
D∇
c0) = −
c0|
y=0−
ceq A0,i DZ
A0,i∂
a∂
yd A at6
0,i (71)whereA0,iisthesurfaceareaoftheboundary
6
0,i.Forlateruse,aneffectivereactionratecoefficientk0effisdefinedask0eff
= −
DR
A0,i ∂a ∂yd A A0,i (72)andtheeffectiveboundaryconditionat
6
0 canberecastinton0,i
· (−
D∇
c0) = −k0effceqµ
1−
c0|y=0 ceq¶
at60
(73)Remarkably,theobtainedeffectiveboundaryconditionis,mathematicallyspeaking,ofareactivetype,eveninthecasewith micro-scalethermodynamicequilibrium.Ofcourse,theeffectiveboundaryconditionhasthesameformincaseIandcaseII,butthe valuesofk0
eff aregivenbyclosureproblemswithdifferentboundaryconditions,asillustratedinAppendix C.
For
6
effatanarbitraryposition y=
w,thefirstorderestimateofthemacro-scaleconcentrationcanbedevelopedasc0|y=w
=
c0|y=0+
w∂
c0∂
y¯
¯
¯
¯
¯
y=0 (74)Assumingatfirstorderthat ∂c0
∂y
|
y=w=
∂∂cy0|
y=0,Eq.(73)isrewrittenas D∂
c0∂
y|
y=w=
k 0 effceqÃ
1−
c0|
y=w−
w ∂c0 ∂y|
y=w ceq!
at y=
w (75)Therefore,thefollowingreactiveconditionatanarbitraryeffectivesurfaceforcaseIandcaseIIisobtained
n0,i
· (−
D∇
c0) = −
keffwceqµ
1−
c0|
y=w ceq¶
at6
eff (76) with keffw=
k 0 eff 1−
wDk0eff (77)Again,theremarkableresultisthat,whatevertheboundaryconditionat
6
βγ (i.e.,thermodynamicequilibriumorreac-tive),theeffectiveboundaryconditionhasthesamereactiveform.However,itispossibletodefineaneffectivesurface
6
effctorecoveranequilibriumcondition,i.e.,c0
=
ceq.FromEq.(75),thepositionofthissurfaceisgivenbywcx
=
D k0 eff= −
R
A0,i A0,i ∂a ∂yd A (78)3.3.Effectivesurfaceandeffectiveboundaryconditions
After resolution of the closure problems,it hasbeen shown that the boundary condition forthe flow problemis of
Naviertype(resultsalreadyknown)andofRobintypeforthemasstransferproblem(theoriginalpartofthispaper).Ithas
alsobeenindicated howtoestimatetheeffectiveboundaryconditionforapositionoftheeffectivesurfacedifferentfrom
6
0.Nevertheless,thethreesurfacesdefinedpreviously,6
0,6
effv and6
effc ,arethoseofmaininterestaswillbediscussedinFig. 5. Unit cell geometry for the simulation (left) and illustration of roughness shape and roughness density (right).
TheobtainedgeneralformoftheeffectiveboundaryvalueproblemconsistsofPbIIandtheboundaryconditionsatthe
effectivesurface,forinstance,Eqs.(57)and(76)foranarbitrarysurfaceposition
6
eff (at y=
w),whichbecomeEqs.(55)and(73)whentheeffectivesurfaceisat
6
0,or(
u i=
0−
nls·
D∇
c0= −
kveffceq³
1−
c0 ceq´
(79)whentheeffectivesurfaceisat
6
effv ,or½
ui=
¡
wcx−
wvx¢
∂u0 ∂y¯
¯
y=0e1 c0=
ceq (80)whentheeffectivesurfaceisat
6
effc .4. Effectiveparameterscalculations
The aim of thissection is to analyzethe impact of some factors, forinstance the roughnessfeatures, the Péclet, the
Schmidt andthemeanDamköhlernumbers,ontheeffectiveparameters.ThePécletandtheSchmidtnumbersaredefined
as Pel
=
urefw0x D,
Sc=
µ
ρ
D (81)where,thecellheight w0x isusedasacharacteristiclength.Thereferenceflowvelocityuref ischosen asthex-component
ofthevelocityat
6
0.ThemeanDamköhlernumberwillbedefinedlater.Dimensionless forms of closureproblem Pb III(B,s) and PbIIIa are solved to obtain the effective surface position and
boundaryconditions,withtheunitcellpresentedinFig. 5.Twoshapesofroughnessareusedinthesimulations,semi-ellipse
orroundedsquare.The heightoftheroughnesshr anditswidthbr arethetwo independentparameters.The heightand
widthoftheunitcellaredenotedasw0x (withw0x
=
8hr)andli,respectively.Inthefollowingsimulations, w0x andhr havefixedvalues,whileliandbrarevariedinordertomodifyeithertheroughnessgeometryortheroughnessdensityasshown
inFig. 5.
All the following simulations are performed using COMSOL®. The linear systems are solved with the direct solver
UMFPACK, which isbasedon theUnsymmetric MultiFrontal method.The velocityfield in PbIIIa iscalculatedby solving
dimensionlesssteady-state Navier–Stokesequations.QuadraticLagrange element formulationisused fortheclosure
vari-ablesa,B andthevelocity.LinearLagrangeelementsettingsareusedforpressureanditsmappingvariables.Propermesh
qualitiesareobtainedtoensureconvergence.Forexamplefortheunitcellwith br
li
=
0.
1,Pel=
25 andSc=
1,sincefurtherincrease ofthenumberofdegreesoffreedomlarger than104 leadsto thevariationof
R
A0,i
∂a
∂yd A lessthan1%, itis
con-sideredthattheresultsare ofappropriate qualityinsuch circumstances.Giventhefactthattheunit cellgeometryunder
studyisquitesimple,itisveryeasytogetconvergedresults;thereforenomoredetailsoftheprocedureareprovidedhere.
Fig. 6. Effective surface position of6veff(left) and6effc (right) for different roughness geometries and densities.
4.1. Effectofroughnessfeaturesoneffectivesurfacepositions
Inthissubsectiontheinfluencesoftheroughnessgeometryanddensityonthepositionsof
6
effv and6
ceffareinvestigated.Sincewv
x andwcxarevaluesvaryingwiththechoiceof
6
0,itismoreconvenienttointroducethecorrespondingnormalizedvalues
δv
=
w0x−wvxhr and
δc
=
w0
x−wcx
hr toindicate the effective positions relative tothe solid surface (see Fig. 4, where
δv
and
δc
arenotnormalizedwithrespectto hr).ResultsforfoursetsofsimulationsarepresentedinFig. 6.In the left graph,it is observed that both the geometry and the roughness density havean impact on
δv
. One canobservethatforhigherroughnessdensities,i.e., br
li
→
1,6
v
eff goesclosertotheroughnessheightbecausethenarrowgaps
betweenasperitiesmakeitdifficultforthefluidtoflowthrough.Theupperlimitof
δv
isoneandisnearlyreachedforthethinsemi-ellipseandtheroundedsquaresbecausetheirroughnessshapesaresteep.Forroughnessescloseenoughtoeach
other,theheterogeneous surface hasa similarbehavior interms ofmomentum transportasa smooth surface locatedat
theheightoftheroughnesses.Forsmootherroughnesses,thelimitcasewheretworoughnessesareadjacentgivesavalue
of
δv
smaller than one asthe fluid can still flow partially between the roughnesses.The three sets of simulations withsemi-ellipseshapealsoshowthatthinroughnessescreatemoreresistancetotheflowthanwiderones.Thecurvesexhibit
anotherlimit when br
li
→
0.Evenifthe twoneighboring asperitiesare farenough fromeach other,e.g.,li=
50hr in thiscase,theroughnessesstillhavesomesmallimpactontheflowand
δv
tendstowards0.
1hr.In the right graph of Fig. 6, the negative values of
δc
mean that6
effc locates inside the solid part. The presence ofinsolublematerialsmakestheaveragedconcentrationon
6
smallerthantheequilibriumconcentration,therefore6
effc mustbelocatedbeneath
6
torecoverthethermodynamicequilibrium.Similartothecasewithno-slipcondition,bothroughnessshape androughnessdensityare playinga roleon
δc
. However, onecan observe thatthe three setsof simulations withsemi-ellipseshapesare superposed,indicatingthat thewidthoftheroughnesshaslittleimpacton
δc
foragivenratioofbr
li.Oneseesfromtheseresultsthat
δc
tendstowards−∞
whentheratiobr
li increasestowardsone,independentlyofthe
roughnessgeometry.For br
li
→
1,thesolidsurfaceincontactwiththefluidismainlyformedbytheinsoluble materialandlittlemasstransferoccursbetweenthesolidandthefluid,whichmakes itdifficulttorecoverthermodynamicequilibrium
effectiveboundarycondition.Theupperlimit of
δc
isequaltozeroandisobtainedforlowroughnessdensity(brli
→
0).Inthiscasethesolid–liquidinterfacebehaveslikeahomogeneoussolublesurface.
4.2.Thermodynamicequilibriumcase(B.C.I)
Inthissubsection,the dependenceofkveff on differentfactors isinvestigatedfirst. Simulations areconductedfor both
advective–diffusivemasstransportregimeandpurelydiffusive regime.Inthelattercase, theeffectivereactionrate
coeffi-cientis denotedaskv
effdiffu.Theflat partofthe solid–liquidinterface isunderthermodynamic equilibrium. Theroughness
shape issemi-ellipse witha height of hr.The other geometric parameters ofthe unit cell are w0x
=
8hr, br=
0.
5hr andli
=
5hr. Theratioof k v eff kv effdiffuasafunctionofPel andSc isplottedinFig. 7.
Oneseesinthefigure that k
v
eff kv
effdiffu
increasesgloballywithPel andSc,whichmeansthattheflowhasastrongerimpact
Fig. 7. Ratiobetweenkeffv withadvectionanditsvalueinthepurelydiffusivecase,asafunctionofPelandSc.Semi-ellipseroughnesswasusedwith
br=0.5hrand blir=0.1.
effectivereactionratecoefficientwithadvectionisnearlythesameastheoneunderapurelydiffusiveregime.ForSc
<
0.
1,the difference betweenkv
eff andkveffdiffu isless than 1% forPel
<
1000.Consequently, themass transport problemcan besimplifiedintoapurediffusioncaseinsuchcircumstances,producinganerrorsmallerthan1%.ForthecaseswithSc close
to 1, k
v
eff kv
effdiffu
reachesamaximum athighPel values,thendecreases andincreasesagain. Forhigher Sc theratioincreases
withPel withdifferentrateexceptforSc
=
100 andSc=
1000 thatare superposedonthestudied rangeofPel.One hastopayattentionthattheconsideredsituationinthisstudyislaminarflowwithinaboundarylayer.Thereforeforthecases
withsmallSc,theconsideredPel shouldnotbetoolarge.
Toillustratethedifferentregimesbetweenmasstransportgovernedbydiffusionorbyadvection,thestreamlinesofthe
totalflux ofa versusSc andPel areplottedinFig. 8.WithsmallPel (10and50),thevariationofSc onlyhassome small
impact onthestreamlines,whichillustratestheweak influenceoftheflowonthemassexchange atthe reactivesurface.
Thevalueofkveffisthereforeclosetothevalueinthepurelydiffusivecase(withadifferenceless than1%)asillustratedin
Fig. 7.WithlargerPel values,increasingSc (i.e.,increasingtheviscosity)delaystheoccurrenceofrecirculationsclosetothe
roughsurface,whichexplainsthemaximumvaluesobservedinFig. 7.Therecirculationsfirstlimitmasstransporttowards
thesolublematerial,andthenenhanceitforincreasing Pel,correspondingtothedecreaseandincrease of
kv eff kv effdiffu afterthe maximumvalues.
In asecond set ofsimulations,the influenceof therough surface geometryon k
v
eff kv
effdiffu
isinvestigatedby changing the
roughnessdensity.FromtheresultspresentedinFig. 9,ahighroughnessdensityleadstoadelayinthetransitionbetween
theadvectiveanddiffusiveregime.Onecanobserveforexamplethatfor br
li
=
0.
4 andbr
li
=
0.
5,theflowalonehasasmall impactontheeffectivereactionratecoefficient(lessthan1%)evenforhighPel values.Intheseconfigurations,kveffdiffu isagoodestimateofkv
eff.Astheroughnessdensitydecreases,
kv
eff kv
effdiffu
increasesbecausetheflowcanpassthroughtheroughness
moreeasily,andthereforemoresolidsurfaceunderthermodynamicequilibriumisavailableformasstransfer.
4.3. Thecaseofareactivesurface(B.C.II)
Inthissubsection,theflatpartofthesolid–liquidinterfaceisreactive.Tostudytheimpactofthechemicalfeatureson
the effectivereaction ratecoefficient, some parameters are first introduced. Letkσ denote the reactivityat surface
6
βσ .One should note that kσ isequal to zeroin this study since the
σ
-phase is non-reactive. The surface average reactionratecoefficientforaheterogeneoussurfacecanbeapproximatedask
ˆ
=
kγAβγ+kσAβσAβγ+Aβσ ,with Aβγ and Aβσ representingthe
surfaceareasof
6
βγ and6
βσ ,respectively.Accordingtothemassconservationfrom6
to6
effv ,thesurfaceaveragereactionratecoefficientat
6
effv can beestimatedaskˆ
v=
kγAβγ+kσAβσAv ,with Av denotingthesurface areaof
6
v
eff.The structureof
the concentration field inside the domain will depend on the ratio between reaction characteristic rates and diffusion,
correspondingtoameanDamköhlernumberdefinedas
c
Da=
kwˆ 0xFig. 8. Total flux streamlines of closure variable a for different Sc and Pel. The roughness shape is a semi-ellipse with br=0.5hrand blri =0.1.
Fig. 9. Ratiobetweenkv
eff withconvectionanditsvalueinthepurelydiffusivecase,asafunctionofthelocalPécletnumber,for differentroughness densitiesgivenbybr
li andSc=0.1.
Theroughnessshape underconsiderationissemi-ellipse.Theheightandwidthoftheroughness,aswellastheheight
of the unit cell remain unchanged, withbr
=
0.
5hr and w0x=
8hr. Tworoughness densities, li=
5hr andli=
10hr, areconsidered.
Theresultsof k
v
eff
ˆ
kv versus
c
Da arepresentedinFig. 10fordifferentPel andSc.Forsmallc
Da,kv
eff
ˆ
kv tendstowardsonedespite
of the flow properties. In such circumstances, the characteristic time ofreaction is long compared to the mass-transfer
kinetics,andthe processis consequentlylimitedby reaction.Withtheincrease of
c
Da,masstransferbecomesinsufficientandtheprocessisthereforelimitedbythemasstransport.Inotherwords,k
ˆ
vtendstoinfinitywhilekveffremainsaconstant,
leadingto k
v
eff
ˆ
kv tendingtowardszero.
Forafixedroughnessdensity,li
=
5hr orli=
10hr,whenPel=
1,anincreaseofSc doesnotaffect kveff
ˆ
kv sincethecurves
ofSc
=
1 andSc=
1000 aresuperposed,whilewhenSc remainsunchanged,theincreaseofPel delaysthedecreaseofkv
eff
ˆ
Fig. 10. Theratioofeffectivereactionratecoefficientkv
effoverthesurfaceaveragereactionratecoefficientkˆv,asafunctionofthemeanDamköhlernumber, withdifferentsurfacegeometries.
Fig. 11. The functionality of the effective Damköhler number Dav
effwith the mean Damköhler numbercDa.
TheseresultsillustratethatonlyrelativelylargePel havesomeimpactonkveff,consistentwiththefollowingdiscussionabout
Daeffv andwiththeresultsillustratedlaterbyFig. 12.Forthegeometrywithli
=
10hr,thedecreaseof kveff
ˆ
kv isdelayedsince
thefluid canflowthroughtheroughnessmoreeasily thusenhancemasstransfer.Therefore,itcanbe concludedthatthe
roughnessdensity,theflowpropertiesintermsofPel andthechemicalfeaturesintermsof
c
Da haveanimportantinfluenceonkv eff.
Sinceitisnotconvenienttousetheratio k
v
eff
ˆ
kv when
c
Da islargebecauseittendstozero,aneffectiveDamköhlernumberdefined as Daveff
=
kv
effw0x
D is introduced to indicate the evolution of k
v
eff with
c
Da. Results are plottedin Fig. 11. Dav eff is
proportional to
c
Da before itreachesa plateauwhenmass transportbecomesthe limitingfactorofthechemical process,consistent withtheresultsofasimilar analysisin[14].Quantitatively,whenPel remainsunchanged, Daveff forli
=
10hr istwice aslargeasforli
=
5hr inthelimitoflargeDa.c
Thisisalsoexplainedby thefactthatmasstransportislimitingtheprocess under large
c
Da andincreasing theproportionof the dissolving phaseis equivalentto increasing masstransport.Moreover, flow and roughnessdensity haveonly a smallimpact on Daeffv forsmall
c
Da becausein such circumstances itFig. 12. Ratiobetweenkv
effwithadvectionanditsvalueinthepurelydiffusivecase,asafunctionofthelocalPécletnumberandfordifferentSchmidt numbers.Theroughnessshapeisasemi-ellipsewithbr=0.5hrandblri =0.1.
roughnessdensityundersmall
c
Da and decreaseswithroughnessdensityunderlargec
Da,whichisduetothetransitionofthelimitingfactor.
Finally,theimportanceofmasstransportbyadvectionisstudiedbyplotting k
v
eff kv
effdiffu
versusPel fortwo
c
Da valuesandfordifferentSc,asshowninFig. 12.Oneseesfromthefigurethatwiththeincrease ofPel,theratio
kveff kv
effdiffu
tends toincrease
since the advectionterm becomesmore important.The curves withthe same Sc havesimilar trends butwithdifferent
magnitudes.In the case withhigher
c
Da, the role of advection ismore important andthe transitions from the diffusiveregime totheadvectiveregime take placeatsmallerPel.ForthecurveswithSc
=
0.
1,the increaseshappen atrelativelylargePel andcanleadtolarger
kv
eff kv
effdiffu
thanthecurveswithSc
=
10 insomecircumstances,becausethegrowthof kv
eff kv
effdiffu
withSc
=
10 slowsdownatabout3000<
Pel<
7000.Thistrendissimilartotheresultsobtainedwiththethermodynamicequilibriumboundary condition. Recirculations closeto the rough surface have a similar impact, first limiting the mass
transporttowardsthereactivesurfaceandthenenhancingit.Tosummarize,toestimatekv
effbykveffdiffuwillproduceanerror
lessthan5%forthestudiedcaseswithDa
c
=
1,becausethereactionratecoefficientisthelimitingfactorofprocessandtheflowpropertieshavenegligibleimpact.Onehastobecarefultorepresentkeffv bykeffv
diffu atlarge
c
Da sincetheflowpropertiescanhavesignificantinfluenceinsuchconditions.
5. Applicationoftheeffectivesurfacemodel
AsintroducedinSection3,therearedifferentpotentialchoicesforthepositionoftheeffectivesurface,e.g.,thefictive
surface
6
0, surface6
effv which recovers theno-slip boundarycondition, surface6
effc whichrecovers the thermodynamicequilibriumcondition, oranyarbitrarylocation. Inthissection the objectiveis toidentify themostappropriate effective
surfacebyinvestigatingtheerrorsbetweendirectnumericalsimulations(DNSs)overtheoriginalroughsurfaceand
simula-tionswiththeeffectivesurfacemodel.Twosituationsareconsidered,typicalofthedevelopmentofamassboundarylayer
overaroughsurface.
The first application corresponds to a boundary layer over a rough wall parallel to the flow. The original model for
DNSsisillustratedby theupperdrawingofFig. 13(a).Thecharacteristiclengthofthesystemusedtonormalizethespace
variablesisHÄ,i.e.,L,theheightoftheglobaldomain.ThesystemisW
=
3HÄwide.Ashortflatzoneissetwithalengthof0
.
5HÄ beforethe roughsurface inorderto havean alreadydevelopedboundarylayer, whichiscloserto theperiodicboundaryconditionhypothesis statedpreviously.Inaddition,the roughnessheightis chosen tobe smallenough tohave
ǫ
=
Ll=
0.
1 andl=
8hr.Theroughnesshasashape ofsemi-ellipsewithbr=
0.
5hr.Intermsofgeometryfortheeffectivemodels,theflatsurfaceattheentranceremainsunchangedandtheoriginalroughsurfaceisreplacedbyasmootheffective
one.ThelowerdrawinginFig. 13(a)givesanexampleoftheeffectivemodelwithno-slipconditionattheeffectivesurface.
Theoriginal flatsurface andtheeffectivesurface are connectedbya smallstep.Itis clearthatsome assumptions ofthe
homogenizationarenotvalidinthisparticulararea,whichisasingularity(no-periodicity,etc.).Specificdevelopmentscould
Fig. 13. Schematicrepresentationofthecomputationaldomain:DNSsovertheheterogeneoussurfaceandthefirstordereffectivemodels(application1in (a)andapplication2in(b)).
In the second application, the boundary layer develops on a rough cylinder perpendicular to the flow. As illustrated
in Fig. 13(b),the rough surface in theDNSs is replacedby the smooth circular surface inthe effectivemodel.Since the
considered geometry issymmetric withrespectto x-axis, onlythe transport inthe upperhalf domainis simulated.The
characteristiclengthofthesystemusedtonormalizethespacevariablesisL,thecylinderdiameter.Theheightofthehalf
domainisHÄ
=
1.
5L andthewidthisW=
2.
5L.DNSsareperformedusingdimensionlessformsofPbIequationswithB.C.I.Fortheeffectivemodel,theclosureproblems
PbIII(B,s) andPbIIIa illustratedintheappendicesaresolvedfirsttoobtaintheeffectivesurfacepositionandtheeffective
boundaryconditions,assummarizedinsubsection3.3.Thentheeffectivemacro-scale problemPbII issolved usingthese
obtainedeffectiveboundary conditions.Similarnumericalsettings wereused asinthelast section.Convergence analyses
wereconductedforeachcomputationtoguarantytheresultsquality(seeSupportInformation).
5.1. Application1:boundarylayeroveraroughwallparalleltotheflow
Thewaytoquantifythedifferencesbetweenthetwosimulationsistocalculatetheerrorontheintegrationofthetotal
mass fluxover thesolid–liquid surface,called QDNS fortherough surface and Qeff fortheeffectiveone. Simulationsare
done forflows with ReL
=
1 and ReL=
50,with two roughnessdensities: blri=
0.
5 and blir=
0.
1. The relative errors onthe totalmassflux are plottedin Fig. 14fordifferenteffectivesurface positions.Foreffective surfaceata positionlower
than2
.
5hr,therelativeerrorcommittedby themodelissmallerthan1%.AthighereffectivesurfacepositionsandforthedifferentReynoldsnumbers,theerrorincreaseswhenincreasingthepositionoftheeffectivesurface.Onecanalsoobserve
thattheroughnessdensityhaslittleimpactontheerrorcomparedtotheinfluenceofReL.Increasingthedistancebetween
roughnesses byafactoroffiveonlyincreasestheerrorbylessthan 1%,whileincreasingReL from1to50nearlydoubles
theerror.Forthedifferentflowconditionsorgeometry,aminimumvalueoftherelativeerrorisobtainedaround yeff
=
hr.Itisclosestto
6
effv amongtheparticulareffectivesurfacepositionsdiscussedbefore.To demonstratethe representativeness ofthe effectivemodelwith theeffective surface locatedat
6
effv , theresults ofDNSs and the firstorder effective model are compared interms of velocity,concentration fieldsand the distribution of
massfluxoverthereactivesurfaceasillustratedinFigs. 15 and16,respectively.Resultswiththeeffectivesurfaceat
6
0arealsoshowninthesefigurestoillustratethediscrepanciescreatedbythelargestepbetweentheflatzoneandtheeffective
surface.
IntheuppergraphofFig. 15,onecanobservethatthevelocitycontoursobtainedbyDNSs(solidline)andthoseobtained
withthefirstordereffectivemodelwithan effectivesurfaceat w0x−wvx
L i.e., at
6
v
eff,are overlapped,withnegligibleerrors.
Thisisconsistentwithpreviousfindings intheliterature forthemomentumtransport problem.Resultswiththeeffective
surface at wvx
L (dotline),i.e., at
6
0,give thegood trendbutare not preciselyrepresentingtheDNSs velocityfield. Asforconcentrationcontours,oneseesinthelowergraphofFig. 15thatthoseobtainedwiththeeffectivesurfaceat w0x−wxv
L are
also well superposed withthe DNSs results,except inside the smallentrance region where the conditions forupscaling
breakdownasdiscussedpreviously.Quantitatively,thiscreatesa smallandratheracceptablediscrepancyof0.07%onthe
total mass flux. The iso-concentration contours obtained withthe effective surface at w0x
L show some discrepancies that
increasewith xL,leadingtoarelativeerroronthetotalmassfluxofaround6.2%.
InFig. 16,thedistributionofthenormalmassflux,q,alongthereactive surfacesinthe effectivemodelwith
6
effv andFig. 14. RelativeerroronQeffcomparedtoQDNS,fordifferentpositionsoftheeffectivesurface,withdifferentsurfacegeometries,Sc=1 andtwovalues ofReL.
Fig. 15. Dimensionlessvelocityfield(uppergraph)andconcentration(lowergraph)contoursfortheinitialroughdomainandtwoeffectivesmoothdomains, withanentrancedimensionlessflowvelocityof1,ReL=25 andSc=1.
Fig. 16. Normalfluxalongthe reactivesurfacesfortheinitialroughdomainandtwoeffectivesmoothdomains,withanentrancedimensionlessflow velocityof1,ReL=25 andSc=1.
tobeaveragedforeachli.TheresultsoftheDNSsandtheeffectivemodelwith
6
effv showagoodagreement.Forthemodelwiththeeffectivesurface at
6
0,q distributiondiffersfromtheDNSsintheentranceregion afterthe step.Thisismainlytheconsequenceofthediscrepanciesobservedinthevelocityfield.
5.2. Application2:roughcylinderinalaminarflow
This second caseillustrates the accuracy of the effective model fora more complex configuration than the previous
application. Simulations are done for a flow with ReL
=
0.
1 and Sc=
1000,with 50 roughnesses distributed uniformlyoverthecylindersurface and
ǫ
=
0.
1.InthetwographsofFig. 17,one canobservethatbothvelocity contours(top)andconcentrationcontours(bottom)obtainedbyDNSs(blacksolidline)andwithaneffectivesurfaceat
6
effv (bluedashedline)areoverlapped,withnegligibleerrors.TheerroronQ islessthan0.1%,provingagainthevalidityofthefirstordereffective
surfacemodel.Thiserrorremainssmallerthan0.1%evenbyincreasing
ǫ
to0.5(thescaleseparationassumptionisnomorevalid).However forReL
=
1, Sc=
1000 andǫ
=
0.
5,themodelstarts to showsome limitationsandgivesresultswithanerroraround3%.
5.3. Effectiveparametersestimates
Intheselast paragraphs,potential estimatesofthe effectivepropertiesare discussedinordertoreduce computational
costs,takingapplication1asanexample.AsmentionedpreviouslyinSection4,forahighroughnessdensitytheeffective
surfacepositionisclosetotheroughnessheight.Onefirstpossibleapproximationistosettheeffectivesurfacepositionat
theroughnessheight,usingano-slipboundaryconditionandthenusetheeffectivereactionrateobtainedforaneffective
surface at hr, which will be called
6
effr . Relative errors committedon the total mass flux using this approximation arecomparedtotheonewiththecorrecteffectivemodelwith
6
effv .ResultsareassembledinTable 1forReL=
25 and Sc=
1,andforroundedsquare roughnesseswithbr
=
hr.Theapproximatedmodelgivesresultswithrelativeerrorsless than1%even for roughnessdensities aslow as 0.2, i.e., br
li
=
0.
2 withδv
=
0.
73. This firstapproximation givesgood results forcertainroughsurfacegeometriesandwillsavecomputationaltimeastheclosureproblemfortheflowdoesnotneedtobe
solvedanymore.
Inadditiontothisfirstestimate,anapproximationcanbemadeontheeffectivereactionrateaswell.IntherangeofReL
usedfortheglobalsimulations(1to1000),thecorrespondingmicro-scalePécletnumberwillnotexceed100forSchmidt
numbersbelow10.FromtheparametricstudyofSection4,ithasbeenobservedthattheeffectivereactionrateobtained
forpurediffusioncanbeagoodapproximationoftheeffectivereactionratewithflow.Asaresult,PbIIIawithB.C.Icanbe
simplifiedintoapurelydiffusiveoneintheseapplicationranges.Forexample,thelargestdifferencebetweenerrorsonQ ,
committedwithandwithoutaccountingfortheflowinkv
eff is0.002(obtainedwith
br li
=
0.
1,ReL=
500 andSc=
5 which hasaratio k v eff kv effdiffu≈
1.
02).Tosumup,allthesenumericalresultsdemonstratetheefficiencyofusinganeffectivesurfacemodel,characterizedbya
homogeneousandsmoothsurface,toreproducetheflowandreactivemasstransportoveraheterogeneousroughsurfaces,
withagoodaccuracy.TheuseofestimateswithoutsolvingPbIII(B,s)canhelptogaincomputationaltime,butmayneedto
Fig. 17. Dimensionlessvelocityfield(top)andconcentration(bottom)contoursfortheinitialroughdomain andtheeffectivesmoothdomain,withan entrancedimensionlessflowvelocityof1,ReL=0.1 andSc=1000.
6. Conclusion
The concept of effective surface has already proven its usefulness for several transport mechanisms. The main
con-tribution ofthis paper concerns mass (andmomentum) transfer fora laminar flow over a heterogeneous rough surface
characterizedbymixed boundaryconditions.Averyimportantconstraintnecessarytodeveloptheeffectivesurfaceconcept
isthe separationofscales betweenthe globalboundary layerthicknessandthe zone ofinfluenceof thesurface
hetero-geneitieswithin thatboundarylayer.Additional assumptionsweremade, likemicro-scalepatternperiodicity,whichcould