Contents lists available atScienceDirect
Journal of Computational Physics
www.elsevier.com/locate/jcp
An immersed boundary method for simulating Newtonian vesicles in viscoelastic fluid
Yunchang Seol
a,∗, Yu-Hau Tseng
b, Yongsam Kim
c, Ming-Chih Lai
aaDepartmentofAppliedMathematics,NationalChiaoTungUniversity,1001TaHsuehRoad,Hsinchu30010,Taiwan bDepartmentofAppliedMathematics,NationalUniversityofKaohsiung,Kaohsiung81148,Taiwan
cDepartmentofMathematics,Chung-AngUniversity,Dongjak-Gu,Heukseok-Dong221,Seoul156-175,SouthKorea
a r t i c l e i n f o a b s t r a c t
Articlehistory:
Received27March2018
Receivedinrevisedform27August2018 Accepted18October2018
Availableonline22October2018
Keywords:
Viscoelasticity Oldroyd-Bfluid Vesicle Tank-treading Tumbling
Immersedboundarymethod
In thispaper, a two-dimensionalimmersed boundary methodis developed to simulate the dynamicsofNewtonian vesicleinviscoelasticOldroyd-Bfluidundershearflow.The viscoelasticity effect of extra stress is well incorporated into the immersed boundary formulation using the indicator function. Our numerical methodology is first validated in comparison with theoretical results in purely Newtonian fluid, and then a series of numerical experiments is conducted to study the effects of different dimensionless parametersonthevesiclemotions.Althoughthetank-treading(TT)motionofNewtonian vesicleinOldroyd-BfluidundershearflowcanbeobservedjustlikeinNewtonianfluid, it is surprising to find that the stationary inclination angle can be negative without the transition to tumbling (TB) motion. Moreover, the inertia effect playsa significant role that isableto turn the vesicleback topositive inclination anglethroughTT-TB-TT transitionastheReynoldsnumberincreases.Tothebestofourknowledge,thisisthefirst numericalworkforthedetailedinvestigationsofNewtonianvesicledynamicssuspendedin viscoelasticOldroyd-Bfluid.Webelievethatournumericalresultscanbeusedtomotivate furtherstudiesintheoryandexperimentsforsuchcouplingvesicleproblems.
©2018ElsevierInc.Allrightsreserved.
1. Introduction
Avesicle isa closedphospholipidmembrane,separatingthe inner fluidfromthe outer medium.Its typical size isan orderof10 μm,sothedimensionlessReynoldsnumberwithtypicalshearratelessthan10 Hzisabout10−3 inwater.So far,theexperimentsofvesiclehavebeenconductedinpurelyNewtonianfluid,whereNewtonianvesiclesaresuspendedin surroundingNewtonianfluids.Ingeneral,vesiclesmimictheredbloodcells(RBCs),andthebloodcontainingRBCsexhibits non-Newtonianpropertiessuchasviscoelasticity,shear-thinning,thixotropy,andyieldstress[9,39,40].Motivatedfromthis, weherestudytheviscoelasticfluideffectontwo-dimensionalvesicledynamicsundershearflow.AnOldroyd-Bfluidmodel isadopted toaccount the viscoelasticity,andan immersedboundary (IB)method isdevelopedto simulateprimarily the viscoelastic effectona Newtonian vesicle interactingwithsurrounding Oldroyd-Bfluid in two-phase flows,although our methodisnotonlyrestrictedtothistypeoffluid.
For the past two decades, three types of vesicle motions under shear flow have been widely studied, namely tank- treading,tumbling,andvacillating-breathing(ortrembling,swinging).Thosemotionscanbecharacterizedbytheso-called
*
Correspondingauthor.E-mailaddresses:[email protected](Y. Seol),[email protected](Y.-H. Tseng),[email protected](Y. Kim),[email protected](M.-C. Lai).
https://doi.org/10.1016/j.jcp.2018.10.027
0021-9991/©2018ElsevierInc.Allrightsreserved.
Fig. 1. SimulationsetupofaNewtonianvesicleinOldryod-BfluidundershearflowdenotedbyN/Ofluid.ThevesicleisfilledwithaNewtonianfluid (viscosityμn)whiletheOldryod-Bfluidisamixtureofpolymer(viscosityμp)andNewtoniansolvent(viscosityμs).Theangleθinradiansdenotesthe inclinationangleofthevesicle.
reducedareaofvesicleconfiguration,theviscositycontrastbetweeninnerandouterfluids,andthecapillarynumberasso- ciatedwithmembranebendingrigidity. So,bycarefullycontrollingthesedimensionlessparameters,extensivestudieswere presented intheories[21,29,25], experiments[18,20,10], andsimulations [24,47,4,11,5],justtonamea few.Refer[1] and references thereinfora review ofvesiclerheology. Recently,the inertia effectinfiniteReynolds numberflowbecomes a popularresearchsubjectaswell[23,36,27].
Among manynumericalmethods,theIB(orfront-tracking)methodisquiteusefulforbiologicalproblemstosimulatea flexible structure interactingwithsurroundingbulk fluid.There arevarious extensionsofIB methodtomodelvesicles or RBCs dynamicsinpurelyNewtonianfluid [22,26,14,45,15,37,35].Anotherextensionincorporatesa richerfluid suchasthe Oldroyd-B fluidto studytheviscoelastic effecton dropletdynamics[38,8,30,17].Thereexists somenumericalmethods to studydropletdynamicsinmultiphaseviscoelasticflow.In[7],thevolume-of-fluid(VOF)methodisemployedtoinvestigate adropletdeformationundershearflow.Thelevel-setmethodin[33] andthefront-trackingmethodin[17] areemployedto studyadropletinbuoyancy- andpressure-drivenflows.Inthesestudies,themultiphaseviscoelasticflowisaccomplished by varying the parameter ofpolymer relaxation time (or the dimensionlessWeissenberg number) inthe polymer stress evolution equation. Inthis framework,a smoothed indicator functionmultiplied tothe parameteris closeto zerointhe regionofNewtonianphase,whichisproblematicwhensolvingtheequation.Tocircumventthisdifficulty,thediffuseinter- face(orphase-field)methodproposedin[46] tostudyNewtoniandropletsuspendedinanOldroyd-Bfluidundercreeping shearflowadoptsadifferentapproach;thatis,thetimeevolutionofpolymerstressequationissolvedontheentiredomain firstandthentheextrapolymerstressisaddedbacktotheviscoelasticregionviathephasefieldfunction.Here,following the similar idea ofhandlingthe extra stress partin [46], we develop an immersedboundary methodforsimulating the dynamicsofNewtonianvesicleinanOldroyd-Bfluidwhichalsotakestheviscositycontrastandinertiaeffectintoaccount.
Tothebestofourknowledge,itseemstobethefirstnumericalworkonthiscouplingflowproblem.Twomajorinteresting findingsarebriefedhere.Firstly,thetank-treadingmotionofNewtonianvesicleinOldroyd-Bfluidundershearflowcanbe observedjustlikeinNewtonianfluid.However,asweincreasetheWeissenbergnumber,thestationaryinclinationanglecan benegativewithoutthetransitiontotumblingmotion.Secondly,byincreasingtheinertiaeffectontheunmatchedviscosity contrast case, thetank-treading motionwithnegative inclinationangle can turninto thesame motionbutwithpositive inclinationangle.Theinterplaybetweentheviscoelasticityandtheinertiaisinterestingandworthsfurtherinvestigations.
The rest ofthis paperis organized asfollows.In next section, we presentthe governing equationsbased onthe im- mersed boundaryframework whichdescribe thetwo-phase flowconsistingofa Newtonianvesicle inan Oldroyd-Bfluid.
InSection 3,wetransformtheequationsintodimensionlessformandoutlinethetime-steppingalgorithm forsolving the whole fluidsystem.Toverifyourcodeimplementation,numericalaccuracytestforanOldroyd-Bfluidsolverisconducted aswell.InSection5,aseriesofnumericalexperimentsisconductedtostudytheeffectsofdifferentdimensionlessparam- etersontheNewtonianvesicledynamicsundershearflowinanOldroyd-Bfluid.Conclusionsandfutureworkaregivenin Section6.
2. Mathematicalmodel
Inthispaper,weconsideranimmiscibletwo-phaseflowconsistingofaNewtonian vesicleinanOldroyd-B fluidunder shear flow ina two-dimensional domain asdepicted inFig. 1.The vesicle boundary separatingthose two fluidsis assumed to be a closedsmooth curve immersed in .The modelis formulated by the immersed boundary method in which thefluid partsindifferentregions usedifferentmodels(Newtonian orOldroyd-B)andthe vesicleeffectistermed astheelastictensionandbendingforce alongthevesicle boundary.Certainly,thoseforcesare derivedby theenergylaw definedonthevesicleboundarydescribedinliterature.Meanwhile,therearerelatedenergylawstodescribetheviscoelastic effectoffluidssuchasphase-fieldmethoddevelopedin[46].Basedonthephase-fieldvariableanditsgradient,themixing energy can be represented by Ginzburg–Landau form which produces the interfacial tension force between two phases.
The extrastress forpolymercontributionin anOldroyd-B fluidcan be derivedfromthedumbbellelastic energythrough a variationalprocedure.Byaddingtheviscous stressofsurroundingfluid,thetotalstresstensoristhesumofthosethree
terms.Thefluidvelocityu(x,t)andpressure p(x,t)aredescribedinEulerianmannerwhilethevesicleboundaryX(
α
,t)is describedinLagrangianmanner,sothegoverningequationsofthistwo-phaseflowcanbewritteninasinglefluidsystem asfollows.ρ
∂
u∂
t+ (
u· ∇)
u= −∇
p+ ∇ ·
[((
1−
H) μ
n+
Hμ
s) D(
u) +
Hσ
]+
f in,
(1)∇ ·
u=
0 in,
(2)f
(
x,
t) =
(
Fγ+
Fb)( α ,
t) δ(
x−
X( α ,
t))|
Xα|
dα
in,
(3)∂
X∂
t( α ,
t) =
U( α ,
t) =
u
(
x,
t) δ(
x−
X( α ,
t))
dx on,
(4)γ ( α ,
t) = γ
0|
Xα( α ,
t)|
|
Xα( α ,
0)| −
1on
,
(5)Fγ
( α ,
t) =
1|
Xα|
∂( γ τ)
∂ α ,
Fb( α ,
t) =
cbκ
ss+ κ
32
n on
,
(6)ξ σ
+ σ = μ
pD(
u)
in,
(7)where
σ
= ∂ σ
∂
t+
u· ∇ σ − ∇
uσ + σ ( ∇
u)
T,
(8)D(
u) = ∇
u+ (∇
u)
T, ∇
u=
ux uyvx vy
.
(9)Eqs. (1) and(2) aretheNavier–StokesequationsinwhichH istheindicator(orHeaviside)functiondefinedby H
(
x,
t) =
1 if x is in Oldroyd-B fluid,
0 if x is in Newtonian vesicle
.
(10)Herewe assumebothfluidshavethesameconstantdensitydenotedby
ρ
,whereastheNewtonian fluidviscosityμ
n and theOldroyd-Bfluidviscositymaybedifferent.TheNewtoniansolventviscosityμ
sandthepolymerviscosityμ
pdetermine the total viscosity of Oldroyd-B fluid, see Fig. 1. The extra stressσ
contributes the viscoelasticity to the Navier–Stokes equationsonlyinthe Oldroyd-Bfluid partwhere H(x,t)=1.InEq. (3),theEulerianforce f arisesfromthespreading of interfacial force F via theDiracdeltafunction δ(x)= δ(x)δ(y).Similarly, asshowninEq. (4), theinterfacial velocity U is interpolatedfromthelocalEulerianfluidvelocityvia thedeltafunction.Heretheinextensiblevesicle boundaryisrelaxed bythenearlyinextensibleapproachinwhichaspring-liketensiongiveninEq. (5) isintroduced.Thisapproachismotivated fromtheequality∂|Xα|/∂t= |Xα|∇s·U andhasbeenvalidatedtobeeffectiveforapplicationsundervariousflowsin2D[3], axisymmetriccase[15],and3D[35].Theinterfacialforce inEq. (6) consistsoftwocomponents;namely,thetensionforce Fγ andthebendingforce Fb.Inthebendingforce inEq. (6),cb isthe bendingrigidityconstant,κ
isthe localcurvature, andthesurfaceLaplacianofκ
isrepresentedbyκ
ss=
1|
Xα|
∂
∂ α
1|
Xα|
∂ κ
∂ α
= −
Xα·
Xαα|
Xα|
4∂ κ
∂ α +
1
|
Xα|
2∂
2κ
∂ α
2.
(11)The latter expansion formula will be used to enhance the numerical accuracy, refer to Appendix D in [44]. The vesicle boundary(t) betweentwofluidsisa one-dimensionalcurve representedby (t)= {X(
α
,t)= (X(α
,t),Y(α
,t))|0≤α
<2
π
}, whereα
is the Lagrangian coordinate. The subscriptα
of a function denotes its partial derivative of the function withrespecttoα
.We then definethe unit tangentvector asτ = (τ1,τ2)=Xα/|Xα| andtheoutward unit normalvector as n= (τ2,−τ1), where |· | stands for the usual Euclidean norm. So the signed curvature ofthe curve can be written asκ
= (Xα Yαα−Yα Xαα)/Xα2+Y2α3/2
.Theextra stress
σ
(x,t) inEq. (1) representsthe viscoelasticcontributionofthe Oldroyd-BfluidandisgovernedbyEq. (7),wheretheparameterξ isthepolymerrelaxationtime,σ
istheupperconvected time derivative ofσ
defined in Eq. (8), and D(u) is the rate of deformation tensor as in Eq. (9). Of course, the above governingequations(1)–(7) shouldaccompanywithsomesuitableinitialandboundaryconditionswhichwillbedescribed later.3. Numericalmethodandaccuracy 3.1. Dimensionlessgoverningequations
The governingequations(1)–(7) canbe writteninthedimensionlessformasfollows.Foravesicleboundaryenclosing an area A withitsperimeter L,we definethe effectiveradius ofthevesicle R=√
A/
π
asthe characteristiclength scale.Thecharacteristictimescaleisdefinedbytc=1/
γ
˙,whereγ
˙ istheshearrateofflow.Thenallphysicalvariablesarescaled bytheassociatedcharacteristicquantitiesasx∗
=
xR
,
t∗=
t tc,
u∗=
u R/
tc,
p∗=
tcμ
sp
, σ
∗=
tcμ
sσ .
(12)After performing substitutions and a few calculations, the dimensionless governing equations for Newtonian vesicle in Oldroyd-Bfluidsystem(N/Ofluid)canbewrittenas(droppingtheasterisk)
Re
∂
u∂
t+ (
u· ∇)
u= −∇
p+ ∇ ·
[((
1−
H)λ +
H) D(
u) +
Hσ
]+
f in,
(13)∇ ·
u=
0 in,
(14)f
(
x,
t) =
Fγ
+
Fb( α ,
t) δ(
x−
X( α ,
t)) |
Xα|
dα
in,
(15)∂
X∂
t( α ,
t) =
U( α ,
t) =
u
(
x,
t) δ(
x−
X( α ,
t))
dx on,
(16)γ ( α ,
t) = γ
0|
Xα( α ,
t)|
|
Xα( α ,
0)| −
1on
,
(17)Fγ
( α ,
t) =
1|
Xα|
∂( γ τ)
∂ α ,
Fb( α ,
t) =
1 Cas
κ + κ
32
n on
,
(18)W i
σ
+ σ = β D(
u)
in,
(19)where
Re
= ρ
R2μ
stc,
Ca= μ
sR3 cbtc,
W i= ξ
tc, λ = μ
nμ
s, β = μ
pμ
s.
(20)Here, Re isthefluidReynoldsnumber,thecapillarynumberCa measurestheratioofviscousforceandbendingforce,and theWeissenbergnumberW i measurestheratioofelasticforceandviscousforceinOldroyd-Bfluid.Wealsodenoteλ by the viscosity contrastbetweenthe interiorNewtonian fluid andthe Newtonian solventof Oldroyd-B fluid,and β by the viscositycontrastbetweenthepolymerandtheNewtoniansolvent.Forinstance,inasingle-phaseNewtonianfluid,weset theparametersbyβ=W i=0 andλ=1.Noticethat,thereisnodimensionlessparameterintherighthandsideofFγ term sinceitcanbeabsorbedintothestiffnessparameter
γ
0 whichwillbechosenlater.3.2. Numericalscheme
Wenextpresentthenumericalschemeandsomerelatedimplementationdetailsforsolvingthedimensionlessgoverning equations(13)–(19). Throughoutthispaper, theperiodicboundarycondition isimposed forall physicalvariablesinthe x direction, whilethe Dirichlet andzero Neumannboundary conditions are imposed for thevelocity and the extra stress, respectively, in the y direction. To solve the Navier–Stokes equations (13)–(14) in a computational domain ⊆ R2, we layout auniformCartesian gridwithmeshwidthh= x= y,andallocatethefluid velocityu= (u,v)andthepressure p inastaggeredmarker-and-cell(MAC)gridmanner[16].Expressingtheextrapolymerstressby
σ =
σ
aσ
bσ
bσ
c,
we allocatethediagonalcomponents,
σ
a andσ
c,tothecellcenterandtheoff-diagonalcomponentσ
b tothecellcorner, so that the divergenceform ∇ · (Hσ
) iscompatible withthe staggeredgrid associated withfluid velocitiesasshown in Fig.2.Thosestressgridallocationscanbefoundinthereference[8].Besides,theindicatorfunction H isdefinedatthecell center,sowhenavariableisnecessarilyshiftedbyahalf-meshwidthforrelevantcomputations,thelinearinterpolationis simplyemployed.Forexample,wedefineFig. 2. Grid allocations for fluid variables u,v,p, the extra stressσ, and the indicator function H .
σ
bi+12,j
= σ
bi+12,j−12
+ σ
bi+12,j+12
2 and
σ
ib,j= σ
bi−12,j−12
+ σ
bi−12,j+12
+ σ
bi+12,j−12
+ σ
bi+12,j+12
4
.
Notethatwedefinea variableatthecellcenterby
σ
ib,j=σ
b(xi,yi)=σ
b(x0+ (i−1/2)h, y0+ (j−1/2)h)duetotheuse ofstaggeredgrid.Inthesimilarfashion,othervariablescanbelinearlyinterpolatedfromthevaluesofneighboringpoints.FortheclosedvesicleboundaryX,weuseFourierrepresentationtodiscretizeitas
X
( α ,
t) =
N
/2−1 k=−N/2X
(
k,
t)
eikα.
(21)SothevesicleboundaryisrepresentedbyasetofLagrangianmarkersX=X(
α
),whereα
=α
andα
=2π
/N.The associatedgeometricquantitiesusedintheaboveformulationssuchasinterfacetangentandnormalvector,thecurvature, andtheirderivativesareallcomputedattheLagrangianmarkersXusingtheFourierspectraldifferentiations[42]. These spectralderivativeswithrespecttoα
canbecomputedefficientlyusingFastFourierTransform(FFT)inaspectralaccuracy.Toremovethealiasingerrorincomputations,we adoptthede-aliasing2/3-rulefilter.Duetotheinextensibilityofvesicle boundary, the Lagrangian markers clustering during the simulations isnot that severe comparing withthe droplet case.
Therefore,wedonotemploythemarkersredistributiontechniqueinpresentsimulations.
WenowpresenthowtomarchtheLagrangianmarkersXn=X(nt)fromtimeleveln to Xn+1=X(nt+ t)attime leveln+1 withthetimestepsize t.Inthefollowing,thepolymerstress
σ
n,thefluidvelocity un,thepressure pn,and theLagrangianmarkersXn areallgiveninadvance,andfromthesevariablesweaimtoupdateσ
n+1,un+1,pn+1,andXn+1. Thestep-by-stepnumericalprocedurecanbedoneasfollows.Step 1. AttheLagrangianmarkersXn,wefirstcompute allthegeometricquantitiesusingthespectral differentiationsand thespring-liketensionby
γ
n= γ (
Xn) = γ
0|(
Xα)
n|
|(
Xα)
0| −
1,
andthenincorporatethosetocomputetheinterfacialforces Fγ
(
Xn) =
1|(
Xα)
n|
∂ γ τ
∂ α
n
,
Fb
(
Xn) =
1 Ca− (
Xα)
n· (
Xαα)
n( κ
α)
n|(
Xα)
n|
4+ ( κ
αα)
n|(
Xα)
n|
2+ ( κ
n)
3 2 nn.
Step 2. DistributethetensionandbendingforcesactingonLagrangianmarkersintotheEuleriangridbyusingthesmoothed Diracdeltafunctionδhas
fn
(
x) =
N−1
=0
(
Fγ(
Xn) +
Fb(
Xn))δ
h(
x−
Xn)
ds(
Xn),
wherex= (x,y)istheEuleriangridpointandthearc-lengthelementisobtainedbyds(Xn)= |(Xα)n|
α
.Forthe discrete deltafunction δh(x)= h12φxh
φy h
, we employ the 6-point supported C3 function φ newly developed in [2].
Step 3. Solve theNavier–Stokes equationsbythe second-orderincremental pressure-correction projection methodin[12]
asfollows.
Re
3u−
4un+
un−12
t
+
2un
· ∇
h un−
un−1
· ∇
h un−1= − ∇
hpn+ λ
hu+ ∇
h·
(
1− λ)
Hn∇
hun+ (∇
hun)
T+ ∇
h· (
Hnσ
n) +
fn,
hp
=
3Re2
t
∇
h·
u, ∂
p∂
n=
0 on∂
D,
u=
un+1on∂
D,
un+1=
u−
2t
3Re
∇
hp, ∇
hpn+1= ∇
hp+ ∇
hpn−
2λ
t3Re
h
(∇
hp),
wherethediscreteoperators∇h and∇h·approximatethegradientanddivergenceoperators,respectively,usingthe second-order finitedifferenceinstaggeredgrid.Forthenonlinearterms,theskew-symmetricformisemployedas (u· ∇h)u=12(u· ∇h)u+12∇h(uu).TheDirichletboundaryisdenotedby∂D.ThesmoothedindicatorfunctionHn canbeobtainedbysolvingthediscretizedPoissonequation,asdescribedin[43],
hHn
(
x) = ∇
h·
N
−1=0
nn
δ(
x−
Xn)
ds(
Xn).
The numerical schemeforviscous termwritten above issuggestedwhen λ≥1, so thatthe more viscous partis treatedimplicitlywiththe constant coefficientλ whilethelessviscous partis treatedexplicitly.Therefore,a fast solver using FFT can be implemented directly. Notice that, as the traditional IB method, the interfacial force fn is computed explicitly inStep 2 so herethe extra stress termis also computedexplicitly for thesimplicity and compatibility.
Step 4. Once un+1 is determined in the Eulerian grid points, we interpolate the fluid interfacial velocity Un+1 =
xun+1(x)δh(x−Xn)h2.Therefore,theLagrangianmarkerscanbeupdatedbyXn+1=Xn+ tUn+1. Step 5. Asthelaststep,wesolvetheextrastressequation
∂ σ
∂
t= F( σ ,
u),
where
F( σ ,
u) = −∇
h· (
uσ ) +
∇
huσ + σ ( ∇
hu)
T− σ
W i
+ β
W i∇
hu+ (∇
hu)
T.
Following in[8],we use thesecond-order Runge–Kutta(RK2) methodwithzero-Neumannboundary condition at Dirichletboundaryoffluidvelocitytoupdate
σ
n+1.Introducingtwointermediatevariablesσ
1 andσ
2 byσ
1= σ
n+
tF( σ
n,
un), σ
2= σ
1+
tF( σ
1,
un+1),
the updatedextrastress isobtainedby
σ
n+1= (σ
n+σ
2)/2.InthiscomputationusingRK2method,we notethat all the componentsofσ
arelocated atcell centersby linearinterpolation,andthe convectiontermis writtenin divergenceformduetotheidentityu· ∇hσ
= ∇h· (uσ
).4. Codeverificationandvalidation
Wetesttheconvergenceratesofsingle-phaseOldroyd-Bfluidsolverandimmersedboundarymethodforvesicledynam- icsintwo-phaseN/Ofluid.ThecodevalidationisalsoperformedbycomparisonofdropletdeformationinN/Ofluid.
4.1. Convergencestudyforsingle-phaseOldroyd-Bfluid
Here,wetestthesingle-phaseOldroyd-Bfluidsolverpresentedintheprevioussectionbycheckingthenumericalaccu- racyofthefollowinganalyticalsolutioninacomputationaldomain= [0,2
π
]× [π
/2,5π
/2].Thesingle-phaseOldroyd-B fluidequationsarewrittenasRe
∂
u∂
t+ (
u· ∇)
u= −∇
p+
u+ ∇ · σ
in,
(22)∇ ·
u=
0 in,
(23)W i
σ
+ σ = β D(
u) + φ
in,
(24)whereanauxiliaryfunctionφisaddedinEq. (24) anddefinedby
Table 1
TemporalconvergenceanalysisinL∞normforthefluidvelocityu= (u,v),pressurep,andthepolymerstressσattwodifferenttimest=0.6 andt=1.2.
M uM−ue ∞ Rate vM−ve ∞ Rate pM−pe ∞ Rate
(t=0.6)
64 1.287E-02 – 1.173E-02 – 4.270E-02 –
128 6.291E-03 1.03 5.735E-03 1.03 2.181E-02 0.96
256 3.108E-03 1.01 2.833E-03 1.01 1.100E-02 0.98
512 1.544E-03 1.00 1.408E-03 1.00 5.522E-03 0.99
(t=1.2)
64 9.512E-03 – 8.290E-03 – 3.775E-02 –
128 4.697E-03 1.01 4.091E-03 1.01 1.935E-02 0.96
256 2.334E-03 1.00 2.033E-03 1.00 9.780E-03 0.98
512 1.163E-03 1.00 1.013E-03 1.00 4.914E-03 0.99
M σMa−σea ∞ Rate σMb−σeb ∞ Rate σMc−σec ∞ Rate
(t=0.6)
64 8.391E-02 – 1.035E-02 – 8.508E-02 –
128 4.697E-02 0.99 5.286E-03 0.96 4.234E-02 1.00
256 2.099E-02 1.00 2.661E-03 0.99 2.108E-02 1.00
512 1.049E-02 1.00 1.334E-03 0.99 1.052E-02 1.00
(t=1.2)
64 4.583E-02 – 1.765E-02 – 4.660E-02 –
128 2.329E-02 0.97 8.937E-03 0.98 2.351E-02 0.98
256 1.173E-02 0.98 4.486E-03 0.99 1.179E-02 0.99
512 5.887E-03 0.99 2.247E-03 0.99 5.903E-03 0.99
φ =
W iβ
φ
aφ
bφ
bφ
c,
G(
t) =
e−2(1+β)t/Re,
φ
a= −
2Gsin x sin y−
2G2cos2x sin2y+
2G2sin2x cos2y−
4G2sin2x sin2y, φ
b= −
4G2sin x cos x sin y cos y,
φ
c=
2Gsin x sin y+
2G2cos2x sin2y−
2G2sin2x cos2y−
4G2sin2x sin2y.
Theprime symbolof G denotesthe derivativewithrespectto timet. Aftersome carefulcalculationsreferringto Taylor–
Greenvortex,onecaneasilycheckthatthefollowinganalyticalsolutionsatisfiestheaboveequations(22)–(24).
ue
= (
G cos x sin y, −
G sin x cos y),
pe= −
Re4
(
cos 2x+
cos 2 y)
G2,
(25)σ
e= β D(
u) = β
−
2G sin x sin y 0 0 2G sin x sin y.
Table1showstheconvergenceanalysisforallsolutionvariablesattwodifferenttimest=0.6 andt=1.2.Wesetthe parametersbyRe=W i= β =1 andt=h/8,whereh istheEulerianmeshwidthdefinedbyh=2
π
/M withgridsizeM.Theconvergencerateofthefluidvelocityu isobtainedby Rate
=
log2(
uM−
ue∞
/
u2M−
ue∞
),
andso are theother variables. The numericalresults for all variables in Table1 show clean first-order accuracy dueto theexplicittreatmentofthepolymerstressterm∇ ·
σ
ofEq. (22) whichisdescribedinStep3.Ingeneral, theimmersed boundarymethodisfirst-orderaccurate,unlessspecialalgorithmisemployedforhigher-ordersuchasinimmersedinterface method.Thus,thisaccuracybehaviorisacceptableandconsistentwiththepresentIBmethod.Onemightwanttofurther extendour methodto achieve thesecond-order accuracy insolving theOldroyd-B fluid flow by treating theextra stress terminthesamewayasthenonlinearadvectionterminprojection methodofStep3inSubsection3.2.However,we do notadoptthistreatmenthereduetothepresentimmersedboundarymethodisonlyfirst-orderaccuratewhenthevesicle boundaryforceistakenintoaccount.Wefurtherverifythespatialconvergenceofourfluidsolver.Todothis,smallertime stepsizeischosenbyt=h/128 sothatthedominanterrormainlyarisesfromthespace,whileotherparametersremain thesame.Table2confirmsthatoursolverhasthesecondorderaccuracyinL2 norm.Thesolutionvariablesarealldefined onstaggered gridso whenthemesh isrefined,thesolution locationsatcoarseandfinegrids donot coincidewitheach other.Hence,theusageofL2 errorinsteadofL∞ isanaturalchoice.4.2. ConvergencestudyforNewtonianvesicledynamicsinOldroyd-Bfluid
Inthissubsection,we performtheconvergencestudytoverifythepresentnumericalalgorithmforvesicledynamicsin two-phase flow. We puta Newtonian vesicle into Oldroyd-B fluidunder shearflow. Wechoose the vesiclewith
ν
=0.8Table 2
SpatialconvergenceanalysisinL2normforthefluidvelocityu= (u,v),pressurep,andthepolymerstressσ attwodifferenttimest=0.6 andt=1.2.
M uM−ue 2 Rate vM−ve 2 Rate pM−pe 2 Rate
(t=0.6)
64 2.958E-04 – 2.749E-04 – 5.352E-04 –
128 6.366E-05 2.22 5.981E-05 2.20 1.253E-04 2.09
256 1.466E-05 2.12 1.384E-05 2.11 3.042E-05 2.04
512 3.510E-06 2.06 3.324E-06 2.06 7.501E-06 2.02
(t=1.2)
64 1.628E-04 – 1.483E-04 – 4.084E-04 –
128 3.982E-05 2.03 3.680E-05 2.01 1.028E-04 1.99
256 9.854E-06 2.01 9.175E-06 2.00 2.587E-05 1.99
512 2.451E-06 2.01 2.291E-06 2.00 6.490E-06 2.00
M σMa−σea 2 Rate σMb−σeb 2 Rate σMc−σec 2 Rate
(t=0.6)
64 9.637E-04 – 1.625E-04 – 9.563E-04 –
128 2.295E-04 2.07 3.554E-05 2.19 2.283E-04 2.07
256 5.597E-05 2.04 8.275E-06 2.10 5.575E-05 2.03
512 1.381E-05 2.02 1.994E-06 2.05 1.377E-05 2.02
(t=1.2)
64 4.004E-04 – 1.621E-04 – 3.898E-04 –
128 1.012E-04 1.98 3.778E-05 2.10 9.920E-05 1.97
256 2.545E-05 1.99 9.097E-06 2.05 2.504E-05 1.99
512 6.383E-06 2.00 2.230E-06 2.03 6.291E-06 1.99
Fig. 3. The convergence rates for the fluid velocity(u,v)and the vesicle configuration X. Left: M=64; Right: M=128.
and the dimensionless parameters are fixed by Ca=1 and W i=1. We shall choose four different Cartesian grid sizes M=64,128,256,512 toexamineconvergencerates.Undershearflow(u,v)= (y,0)inthecomputationaldomain[−8,8]2, we settheparameters by Re=10−3,λ=2,β=1,h=16/M,andt=h/128.Forthevesicle interfacediscretization,as we doublethegridsizeM, weneedtohalve thelocalarclengthsothat thenumberofLagrangianmarkersusedmustbe increasedby afactoroftwoaccordingly.Tobe consistent,oneshould alsobe carefultoadjustthestiffnessparameter
γ
0 used inEq. (17) for interfacial inextensibility. Forthis,we chooseγ
0=5×103M/512,soit becomesγ
0=5×103 when M=512 whichisusedthroughoutSection5.Fig. 3showstheconvergenceratesforthevelocity componentsu= (u,v) andthe vesicleconfigurationX atdifferent timesuptot=50.Unlikeintheprevious subsection,theanalyticsolutioninthistestisnotavailable,sowecomputethe convergenceratebyestimatingthetwosuccessivemaximumerrorsas
Rate
=
log2(
uM−
u2M∞
/
u2M−
u4M∞
).
Theratesforv andX aredefinedinasimilarmanner.Wecanseefromthefigurethattheratesarelargerthanonewhen M=64,128,256 andcloseto onewhen M=128,256,512,so theaveragerateisaround one forall variables indicating that ournumerical scheme isroughly first-orderaccurate. This resultis consistent withthe IB method beingfirst-order accurategenerally.
Fig. 4. DeformationparameterD ofdropletinN/OfluidasafunctionoftheWeissenbergnumberW i fortwoCapillarynumbers:(a)Ca=0.1,(b)Ca=0.2.
OurresultiscomparedwithnumericalresultofYueetal.(2005),andalsowithexperimentaldataofGuidoetal.(2003)andofMaffettoneandGreco (2004).
4.3. ComparisonofdropletdeformationinN/Ofluid
Intheprevioussubsection,wehaveshowntheconvergenceratesoffluidvariablesforaNewtonianvesicleinOldroyd-B fluid under shear flow. In order to verify that the present numericalscheme is physically plausible, we hereperform a comparisonwithexperimental andnumericalstudies inliterature fordropletdeformation inN/Ofluid undershear flow.
Inthistest,we denoteN/Ofluid byaNewtonian dropletsuspendedinan Oldroyd-Bfluid.Todothis, inEq. (3),we omit thebendingforceandreplacethetensionforceby Fγ(
α
,t)= −Ca2dκ
n,whereCad isthecapillarynumberassociatedwith dropletinterfacialtensionandthefactor2 comes fromournon-dimensionalizationprocess.Thedeformationparameteris definedbyD= (L−B)/(L+B),whereL andB arethelongestandshortestlengthsofthedropletmeasuredfromitscenter to theinterface, respectively. In thistest, we initially configurea circulardroplet withunity radius whichis centered in thecomputationaldomain[−8,8]× [−4,4]withthegridsize2048×1024,asshowninFig.1.ThenumberofLagrangian markersis chosenas N=4096,theuniformEulerianmeshwidthish=1/128,andthetime stepsizeis t=h/32.We alsofixtheReynoldsnumberby Re=10−4andtheviscosityratiobetweenpolymerandNewtoniansolventbyβ=1,thus λ=2.Fig.4 showsour numericalresultson the dropletdeformation asa function ofthe Weissenbergnumber W i fortwo different capillary numbers Ca=0.1 and 0.2. It is also compared with experimental results [13,28] and the numerical results basedon phase-fieldmethod [46]. Notice that, the experimental results are available only forsmallWeissenberg number.In thefigure,ournumericalresultis quitecomparabletothe experimentbyGuido etal. [13] for smallW i and Ca=0.1,while the result ofYue etal. [46] is comparable to the one of Maffettoneand Greco[28]. Forsmall W i and Ca=0.2, ourresult becomes quite comparableto bothexperiments, whilethe resultof Yue etal.is still comparableto theoneofMaffettoneandGreco.IncomparisonwithnumericalresultsofYueetal.,ourresultsshowslightdifferencebut bothplotsofdeformation parameterversusWeissenbergnumbershowconcaveupward behaviorasWeissenbergnumber increases. So we can conclude that our present numerical method is validated by simulatingthe Newtonian droplet in Oldroyd-B fluid.Inthenext section,westudyonthevesicle dynamicsmainlyintwo-phaseN/Ofluidundersteadyshear flow.
5. Numericalresultsanddiscussion
Inthissection,we performnumericaltestsfortwo-dimensional vesicledynamicsunderviscoelasticshearflow. Toex- ploretheeffectsofviscoelasticityonvesiclemotions,theinnerfluidisalwayssettobeNewtonian,whiletheouterfluidis givenbyeitherNewtonianornon-Newtonian(Oldroyd-B).Wedenotethesetwo-phasefluidsbyN/NandN/O,respectively.
Inthefollowingsubsections,wefirstvalidate ourIBmethodbycomparingwiththeKeller–Skalak(KS)theoryinN/Nfluid [21]. We then intensively investigatethe viscoelastic effecton vesicle motions inN/O settingby varying the parameters suchas W i (theWeissenbergnumber),β (theviscosityratiobetweenpolymer andNewtonian solvent), Re (theReynolds number),andλ(theviscositycontrastbetweeninnerandouterfluids).
Throughoutthispaper,weinitiallyconfigureanellipticalvesiclewiththedesiredreducedarea
ν
=4π
A/L2 byfixingthe enclosedarea A=π
andchangingthetotalvesicleperimeterL.Weputthevesicleundershearflow(u,v)= (y,0)inthe computationaldomain[−8,8]2 withthegridsize5122,seeFig.1.TheuniformEulerianmeshwidthish=16/512 andthe timestep sizeist=h2/4.ThenumberofLagrangianmarkersrepresentingthevesicleboundaryischosen asN=1024.In mostcases,thenumerical resultsare obtainedup to time t=50 whichtakesabout30 hours tofinish a run usinga single-core computerequipped withaCPU3.7 GHz.Unless otherwisestated, we fix theReynolds numberby Re=10−3
Fig. 5. Comparison ofN/N (leftcolumn,(a,c))and N/O(rightcolumn, (b,d))cases. (a)–(b):thetimeevolutionaryplotsofinclinationangleθ/πfor variousν.(c)–(d)thetimeevolutionaryplotsoftank-treadingfrequencyωforvariousν.Hereνdenotesthereducedarea.
to be inStokes regime,the capillarynumberby Ca=1,andtheviscosity ratiobetweenpolymerandNewtonian solvent by β=1. Although mostly omitted here, we tested for different Ca ranged from1 to 100 and initial tilt-angles 0 and
π
/4.Sincethequantitativeresultsassociatedwithshear-inducedvesicleTTmotionsarealmostidenticalfordifferentinitial configurationofvesicle,wetiltthevesicleinitiallyonlybyanangleθ=π
/4.Inordertosupportthisstatement,inthenext subsection,we show thetime-dependent variationof inclinationangleandangularfrequencyoftank-treadingvesicle for differentconfigurationsinitiallytilted by0,π
/8,andπ
/4.Thestiffnessparameterusedforthenearlyinextensiblevesicle boundary ischosenasγ
0=5×103 withwhichtherelative changesinvesiclearea A anditstotallength L arelessthan 0.5% duringallsimulationswehaveperformed.For shear-induced vesicle motions in N/N fluid, two major types of motion have been well investigated; namely (1) tank-treading(TT) motion,and(2)tumbling (TB)motion.A vesiclewithTTmotiontakesastationaryshapeandconstant inclination angle θ independentof time,while a vesiclewith TBmotionperiodically rotateslike a rigidbody.Thesebe- haviors havebeenfound inasymptotictheory [21] andalsonumericalsimulationssuch asin[24].Anothermotioncalled avacillating-breathing(ortrembling,swinging)isfoundbetweenTTandTBstatesinthetheory[29],theexperiment[19], andnumericalsimulation[31].However,hereonlyTTandTBmotionsareobservedsincethevacillating-breathingismainly attributedtothepresenceofvorticityaxisinthreedimensions.
5.1. ComparisonofmatchedviscosityN/NandN/Ofluids
As afirsttest,weexaminetheeffectofviscoelasticitybycomparingthevesicletank-treading(TT)motionundershear flow forN/NandN/Ofluids. Throughoutthispaper,we callthematched viscosityN/Nfluid iftheparameters λ=1 and β=0 areused inN/Nfluid setup;while wecall thematchedviscosityN/Ofluid ifλ=1+ β andβ >0 in N/Ofluid. In thelattercase,theviscosityofNewtonianfluidmatcheswiththetotalviscosityofOldroyd-Bfluidby