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Enhanced axial migration of a deformable capsule in pulsatile channel flows

Naoki Takeishi ntakeishi@kit.ac.jp Department of Mechanical Engineering, Kyoto Institute of Technology, Goshokaido-cho, Matsugasaki, Sakyo-ku, Kyoto, 606-8585, Japan Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan.    Marco Edoardo Rosti marco.rosti@oist.jp Complex Fluids and Flows Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Okinawa 904-0495, Japan.
(First submission )
Abstract

We present numerical analysis of the lateral movement of a deformable spherical capsule in a pulsatile channel flow, with a Newtonian fluid in almost inertialess condition and at a small confinement ratio a0/Ra_{0}/R = 0.4, where RR and aa are the channel and capsule radius. We find that the speed of the axial migration of the capsule can be accelerated by the flow pulsation at a specific frequency. The migration speed increases with the oscillatory amplitude, while the most effective frequency remains basically unchanged and independent of the amplitude. Our numerical results form a fundamental basis for further studies on cellular flow mechanics, since pulsatile flows are physiologically relevant in human circulation, potentially affecting the dynamics of deformable particles and red blood cells (RBCs), and can also be potentially exploited in cell focusing techniques.

I I. Introduction

High-throughput measurements of single-cell behaviour under confined channel flow is of fundamental importance and technical requirement in bioengineering applications such as cellular-level diagnoses for blood diseases. Although several attempts have addressed this issue and gained insights into (soft) particle dynamics in microchannels (Ciftlik et al., 2013; Fregin et al., 2019; Ito et al., 2017), cell manipulation including label-free cell alignment, sorting, and separation still face major challenges. Along with the aforementioned experimental studies, recent numerical simulations revealed the mechanical background regarding the lateral movement of particles, e.g. in (Alghalibi et al., 2019; Takeishi et al., 2021, 2022). The lateral movement of deformable spherical particles in almost inertialess conditions was originally reported in Karnis et al. (1963), and these results have been the fundamental basis to describe the phenomena observed in microfluidics (Kim et al., 2019) but also in in vivo microcirculations (Secomb, 2017). In particular, it was found that a deformable spherical particle tends to move towards the channel axis and settles there. Hereafter we will call this phenomenon as “axial migration”.

It is known that the presence of axial migration or non-axial migration depends on particle shape and initial orientation angles. An RBC modelled as a biconcave capsule does not always exhibit axial migration especially in the tank-treading slipper shape, obtained with high CaCa and high λ\lambda (Guckenberger et al., 2018; Takeishi et al., 2021). Furthermore, RBCs have bistable flow mode, so-called rolling and tumbling motions, which depend on the initial cell orientations (Takeishi et al., 2022). Thus, the original spherical shape is one of requirements for the axial migration in (almost) inertialess conditions. In a recent work, the framework of the axial migration of a droplet has been extended by Santra and Chakraborty (2021) by including the effect of an electric field, and finding that as the strength of the electric field increases, droplets can reach the centreline at a faster rate with reduced axial oscillations. Furthermore, a deformation-dependent propulsion of soft particles, including biological cells, were confirmed experimentally by Krauss et al. (2022) and numerically by Schmidt et al. (2022).

Despite these efforts, the effect of a pulsatile flow on the axial migration of capsules has not been described and understood yet. The objective of this study is thus to clarify whether frequency-dependent axial migration of the spherical capsule occurs in confined channel flows. More precisely, can the time necessary for the axial migration be controlled by the channel pulsations? Is there an optimal pulsation frequency to do that? As we will describe in the following, our investigation of the capsule dynamic show that it indeed exists an optimal frequency to speed-up the capsule axial migration by up to 80%80\% in the range of parameters investigated here.

Refer to caption
Figure 1: Visualization of a spherical capsule with radius a0a_{0} in a tube with radius of RR under a pulsatile flow with velocity VV^{\infty}, which can be decomposed into the steady parabolic flow V0V_{0}^{\infty} and the oscillatory flow VosciV_{\mathrm{osci}}^{\infty} in the absence of any cells. The capsule, initially placed near the wall, exhibits axial migration.

II II. Problem statement and methods

II.1 A. Problem statement and governing equations

To answer these fundamental questions, we perform a series of fully resolved numerical simulations. We consider the motion of an initially spherical capsule with diameter d0d_{0} (= 2a02a_{0} = 88 μ\mum) flowing in a circular channel of diameter DD (= 2RR = 2020 μ\mum), see Fig. 1. The capsule is made by an elastic membrane, separating two Newtonian fluids, which satisfy the incompressible Navier–Stokes equations, and have the same density ρ\rho but different viscosity (inside) μ1\mu_{1} and (outside) μ0\mu_{0}. The membrane is modeled as an isotropic and hyperelastic material following the Skalak constitutive (SK) law (Skalak et al., 1973). In particular, the strain energy ww of the SK law is given by

w=Gs4(I12+2I12I2+CI22),w=\frac{G_{s}}{4}\left(I_{1}^{2}+2I_{1}-2I_{2}+CI_{2}^{2}\right), (1)

where GsG_{s} is the surface shear elastic modulus, CC is a dimensionless material coefficient that measures the resistance to the area dilation, I1(=λ12+λ222)I_{1}(=\lambda_{1}^{2}+\lambda_{2}^{2}-2) and I2(=λ12λ221=Js21)I_{2}(=\lambda_{1}^{2}\lambda_{2}^{2}-1=J_{s}^{2}-1) are the first and second invariants of the Green-Lagrange strain tensor, λi\lambda_{i} (i=1i=1 and 22) are the two principal in-plane stretch ratios, and Js=λ1λ2J_{s}=\lambda_{1}\lambda_{2} is the Jacobian, which expresses the ratio of the deformed to reference surface areas. The area dilation modulus of the SK law is Ks=Gs(1+2C)K_{s}=G_{s}\left(1+2C\right) Barthés-Biesel et al. (2002). Bending resistance is also considered (Li et al., 2005), with a bending modulus kb=5.0×1019k_{b}=5.0\times 10^{-19}(Puig-de-Morales-Marinkovic et al., 2007). In this study, the surface shear elastic modulus is determined to be GsG_{s} = 4 μ\muN/m to mimic the value found in human RBCs Takeishi et al. (2014, 2019). Assuming the area incompressibility of the membrane and also following previous study by (Barthés-Biesel et al., 2002), we set as C=102C=10^{2}. These membrane parameters successfully captured the characteristic stable deformation and dynamics of RBCs both in single and multi-cellular interaction problems Takeishi et al. (2014, 2019).

Neglecting inertial effects on the membrane deformation, the static local equilibrium equation of the membrane is given by

s𝑻+𝒒=𝟎,\nabla_{s}\cdot{\boldsymbol{T}}+{\boldsymbol{q}}={\boldsymbol{0}}, (2)

where s(=(𝑰𝒏𝒏))\nabla_{s}(=\left({\boldsymbol{I}}-{\boldsymbol{n}}{\boldsymbol{n}}\right)\cdot\nabla) is the surface gradient operator, 𝒏{\boldsymbol{n}} is the unit normal outward vector in the deformed state, 𝒒{\boldsymbol{q}} is the load on the membrane, and 𝑻{\boldsymbol{T}} is the in-plane elastic tension that is obtained from the SK law (1).

The two fluids separated by the membrane are governed by the incompressible Navier–Stokes equations,

ρ(𝒗t+𝒗𝒗)\displaystyle\rho\left(\frac{\partial{\boldsymbol{v}}}{\partial t}+{\boldsymbol{v}}\cdot\nabla{\boldsymbol{v}}\right) =𝝈f+ρ𝒇,\displaystyle=\nabla\cdot{\boldsymbol{\sigma}}^{f}+\rho{\boldsymbol{f}}, (3)
𝒗\displaystyle\nabla\cdot{\boldsymbol{v}} =0,\displaystyle=0, (4)

where

𝝈f=p𝑰+μ(𝒗+𝒗T).\displaystyle{\boldsymbol{\sigma}}^{f}=-p{\boldsymbol{I}}+\mu\left(\nabla{\boldsymbol{v}}+\nabla{\boldsymbol{v}}^{T}\right). (5)

In the previous equations, 𝝈f{\boldsymbol{\sigma}}^{f} is the total stress tensor of the flow, pp is the pressure, ρ\rho is the fluid density,𝒇{\boldsymbol{f}} is the body force, and μ\mu is the viscosity of the liquids, which is expressed using the volume fraction of the inner fluid α\alpha (0 α\leq\alpha\leq 1) as:

μ={1+(λ1)α}μ0.\displaystyle\mu=\left\{1+\left(\lambda-1\right)\alpha\right\}\mu_{0}. (6)

The dynamic condition requires that the load 𝒒{\boldsymbol{q}} is equal to the traction jump (𝝈outf𝝈inf)\left({\boldsymbol{\sigma}}^{f}_{out}-{\boldsymbol{\sigma}}^{f}_{in}\right) across the membrane:

𝒒=(𝝈outf𝝈inf)𝒏,\displaystyle{\boldsymbol{q}}=\left({\boldsymbol{\sigma}}^{f}_{\mathrm{out}}-{\boldsymbol{\sigma}}^{f}_{\mathrm{in}}\right)\cdot{\boldsymbol{n}}, (7)

where the subscripts ‘out’ and ‘in’ represent the outer and internal regions of the capsule.

The flow in the channel is sustained by a uniform pressure gradient p0\nabla p_{0}, which can be related to the maximum fluid velocity in the channel as p0=4μ0Vmax/R2\nabla p_{0}=-4\mu_{0}V_{\mathrm{max}}^{\infty}/R^{2}. The pulsation is instead given by a superimposed sinusoidal function, such that the total pressure gradient is

p(t)=p0+(pamp)sin(2πft).\nabla p(t)=\nabla p_{0}+\left(\nabla p^{\mathrm{amp}}\right)\sin{(2\pi ft)}. (8)

The problem is governed by six main non-dimensional numbers: i) the Reynolds number Re=ρDVmax/μ0Re=\rho DV_{\mathrm{max}}^{\infty}/\mu_{0}; ii) the capillary number Ca=μ0γ˙ma0/GsCa=\mu_{0}\dot{\gamma}_{\mathrm{m}}a_{0}/G_{s}, where γ˙m=Vmax/4R\dot{\gamma}_{\mathrm{m}}=V_{\mathrm{max}}^{\infty}/4R; iii) the viscosity ratio between the two fluids λ=μ1/μ0\lambda=\mu_{1}/\mu_{0}; iv) the confinement ratio a0/Ra_{0}/R; v) the non-dimensional pulsation frequency f=f/γ˙mf^{\ast}=f/\dot{\gamma}_{\mathrm{m}}; vi) the non-dimensional pulsation amplitude pamp/p0\nabla p^{\mathrm{amp}}/\nabla p_{0} . In this work, all simulations are performed in an almost inertialess condition, keeping the Reynolds number low and fixed to the value Re=0.2Re=0.2; also, we limit our main analysis to a confinement ratio of 0.40.4. In the Appendix §A we verify the sensitivity of the results to these two parameters [See Fig. 7]. Instead here we comprehensively vary the amplitude and frequency of the pulsation, the viscosity ratio and the capillary number.

II.2 B. Numerical methods

The governing equations for the fluid are discretised by the lattice Boltzmann method (LBM) based on the D3Q19 model (Chen and Doolen, 1998). We track the Lagrangian points of the membrane material points 𝒙(𝑿,t){\boldsymbol{x}}({\boldsymbol{X}},t) over time, where 𝑿{\boldsymbol{X}} is a material point on the membrane in the reference state. Based on the virtual work principle, the above strong-form equation (2) can be rewritten in weak form as

S𝒖^𝒒𝑑S=Sϵ^:𝑻dS,\int_{S}{\boldsymbol{\hat{u}}}\cdot{\boldsymbol{q}}dS=\int_{S}{\boldsymbol{\hat{\epsilon}}}:{\boldsymbol{T}}dS, (9)

where 𝒖^{\boldsymbol{\hat{u}}} and ϵ^=(s𝒖^+s𝒖^T)/2{\boldsymbol{\hat{\epsilon}}}=(\nabla_{s}{\boldsymbol{\hat{u}}}+\nabla_{s}{\boldsymbol{\hat{u}}}^{T})\big{/}2 are the virtual displacement and virtual strain, respectively. The finite element method (FEM) is used to solve equation (9) and obtain the load 𝒒{\boldsymbol{q}} acting on the membrane (Walter et al., 2010). The velocity at the membrane node is obtained by interpolating the velocities at the fluid node using the immersed boundary method (Peskin, 2002). The membrane node is updated by Lagrangian tracking with the no-slip condition. The explicit fourth-order Runge–Kutta method is used for the time integration. The volume-of-fluid method (Yokoi, 2007) and front-tracking method (Unverdi and Tryggvason, 1992) are employed to update the viscosity in the fluid lattices. A volume constraint is implemented to counteract the accumulation of small errors in the volume of the individual cells (Freund, 2007): in our simulation, the volume error is always maintained lower than 1.0×1031.0\times 10^{-3}%, as tested and validated in our previous study of cell flow in circular channels (Takeishi et al., 2016). For further details of the methods we refer to our previous work (Takeishi et al., 2019, 2022).

Periodic boundary conditions are imposed in the flow direction (zz-direction, see also Fig. 1 and Fig. 2b). No-slip conditions are employed for the walls (radial direction). The mesh size of the LBM for the fluid was set to be 250250 nm, and that of the finite elements describing the membrane was approximately 250250 nm (an unstructured mesh with 5,1205,120 elements was used for the FEM). Overall, we use a resolution of 3232 fluid lattices per diameter of the capsule. The chosen resolution has been shown in the past to successfully represent single- and multi-cellular dynamics (Takeishi et al., 2014, 2019, 2021).

III III. Results and discussion

First, we investigate the trajectory of the capsule centroids for different frequencies f=f/γ˙mf^{\ast}=f/\dot{\gamma}_{\mathrm{m}}. The time history of the radial position of the capsule centroid rr is shown in Fig. 2(a), together with the capsule shape at the initial (γ˙mt\dot{\gamma}_{\mathrm{m}}t = 0) and final states (γ˙mt\dot{\gamma}_{\mathrm{m}}t = 50). The capsule, initially spherical, migrates towards the channel centerline while deforming, finally reaching its equilibrium position at the centerline, where it achieves an axial-symmetric shape. While the trajectory obtained with the highest frequency investigated (ff^{\ast} = 5) well collapses on that obtained with a steady flow, see Appendix §A , when ff^{\ast} is small enough, the trajectory paths depend on the pulsation frequency, with the appearance of oscillations and with different axial migration speed.

The time history of the capsule deformation is shown in Fig. 2(b), quantified by the Taylor parameter D12=|a1a2|/(a1+a2)D_{12}=|a_{1}-a_{2}|/(a_{1}+a_{2}), where a1a_{1} and a2a_{2} are the lengths of the semi-major and semi-minor axes of the capsule. Note that, we compute D12D_{12} from the eigenvalues of the inertia tensor of an equivalent ellipsoid approximating the deformed capsule (Ramanujan and Pozrikidis, 1998). The capsule deformation is maximized just after the flow onset when the capsule is subject to the high shear near the wall. As time passes, D12D_{12} decreases and settles to a value which is around one order of magnitude smaller than the maximum (i.e., O(D12)=102O(D_{12})=10^{-2}) when reaching the channel axis.

Refer to caption
Figure 2: Time history of (a) the radial position of the capsule centroid r/Rr/R and (b) time history of the Taylor parameter D12D_{12} for different non-dimensional frequency ff^{\ast}. The inset images in panel (a) represent the capsule initial state (r0/R=0.55r_{0}/R=0.55 at γ˙mt=0\dot{\gamma}_{\mathrm{m}}t=0) and the final stable state at the channel center line (r/R0r/R\approx 0 at γ˙mt=50\dot{\gamma}_{\mathrm{m}}t=50). All the results are obtained with pamp=p0\nabla p^{amp}=\nabla p_{0}, Ca=1.2Ca=1.2, and λ=1\lambda=1.

The migration speed is also affected by the amplitude of the oscillation pamp\nabla p^{\mathrm{amp}}, as shown in Fig. 3, where the side views of the capsule during its axial migration for different pamp\nabla p^{\mathrm{amp}} (= p0\nabla p_{0} and 4p04\nabla p_{0}) are shown in Figs. 3(a) and 3(b), respectively. The snapshots clearly show the capsule deformation and position as a consequence of the change of the background flow directions and oscillatory amplitudes. As pamp\nabla p^{\mathrm{amp}} increases, the capsule appears to migrate faster toward the channel centerline (Fig. 3c).

Refer to caption
Figure 3: Side views of the capsule during its axial migration for f=0.5f^{\ast}=0.5 and different oscillatory amplitude: (a) pamp=p0\nabla p^{\mathrm{amp}}=\nabla p_{0} and (b) pamp=4p0\nabla p^{\mathrm{amp}}=4\nabla p_{0}. The snapshots are taken at the time instants marked in (c), showed over the time history of r/Rr/R. All the results are obtained with Ca=1.2Ca=1.2, and λ=1\lambda=1.

To properly quantify the changes in axial migration, we define the migration time TT^{\ast} as the time needed by the capsule centroid to reach the centerline (within a distance of \sim6% of its radius to account for the oscillations in the capsule trajectory). The ratio of the elapsed time TT^{\ast} and that in a steady flow is reported in Fig. 4(a) as a function of ff^{\ast}, for various pulsation amplitudes. The results clearly suggest that there exist a specific frequency to minimize the migration time. A very minor increase of the optimal frequency with the pulsation amplitude can be observed in the data. While the optimal frequency is almost independent of the pulsation amplitude, the migration time can be strongly reduced by its increase. Indeed, while the elapsed time is reduced by 18%18\% at the lowest amplitude investigated (pamp=p0/4\nabla p^{\mathrm{amp}}=\nabla p_{0}/4), it is reduced by 80%80\% at the highest one (pamp=4p0\nabla p^{\mathrm{amp}}=4\nabla p_{0}). Interestingly, the optimal frequency that minimizes the migration time (O(f)=102O(f^{\ast})=10^{-2}) is one order of magnitude smaller than the one which maximizes D12D_{12} (Fig. 8 in Appendix §B), thus, suggesting that the axial migration time is unrelated to the maximum capsule deformation which happens in the initial stage of the capsule motion.

The changes in the migration time are clearly reflected in the migration speed 𝒱=𝒱/Vmax{\mathcal{V}}^{\ast}={\mathcal{V}}/V_{\mathrm{max}}^{\infty}, reported in Fig. 4(b), which shows that when the migration time is minimum, the axial migration speed reaches almost its maximum. Here, the migration speed 𝒱{\mathcal{V}} is defined as the ratio of the elapsed time TT and the traveled distance {\mathcal{L}} (i.e., 𝒱=/T{\mathcal{V}}={\mathcal{L}}/T), defined as =0|d𝒓|=0𝑑𝒓𝒕^=0T𝒗𝑑t𝒕^{\mathcal{L}}=\int_{0}^{\mathcal{L}}|d{\boldsymbol{r}}|=\int_{0}^{\mathcal{L}}d{\boldsymbol{r}}\cdot\hat{{\boldsymbol{t}}}=\int_{0}^{T}{\boldsymbol{v}}dt\cdot\hat{{\boldsymbol{t}}}, where 𝒕^=𝒓/|d𝒓|\hat{{\boldsymbol{t}}}={\boldsymbol{r}}/|d{\boldsymbol{r}}| is the unit tangential vector along the trajectory of the capsule centroid and 𝒗{\boldsymbol{v}} is the the capsule centroid velocity.

The distance traveled by the capsule before completing the axial migration is reported in Fig. 4(c) for the sake of completeness, showing that the optimal frequency to minimize the migration time, roughly corresponds to the minimization of the the traveled distance too. Note that, the distance traveled during the migration LL^{\ast} depends not only on ff^{\ast} but also on CaCa (see Fig. 9 Appendix §C).

Refer to caption
Figure 4: (a) The migration time TT^{\ast}, (b) the migration speed 𝒱{\mathcal{V}}^{\ast}, and (c) the distance traveled during the migration {\mathcal{L}}^{\ast}, normalized with those obtained in a steady flow (TsteadyT^{\ast}_{\mathrm{steady}}, 𝒱steady{\mathcal{V}}_{\mathrm{steady}}^{\ast}, and steady{\mathcal{L}}^{\ast}_{\mathrm{steady}}) as a function of ff^{\ast} and for different pamp\nabla p^{\mathrm{amp}}. The results are obtained with CaCa = 1.2, and λ\lambda = 1. The filled symbols in each panels represent the case with the optimal frequency which minimizes the migration time.

In summary, so far we have shown that, for a fixed CaCa and λ\lambda, there is an optimal frequency for the channel pulsation, able to minimize the capsule migration time by maximizing the migration speed and minimizing the traveled distance. To complete our investigation, the effects of CaCa and λ\lambda on the migration time TT^{\ast} are shown in Fig. 5. In particular, the results in Fig. 5(a) shows that the migration time depends on CaCa, thus suggesting that the optimal frequency ff^{\ast} is also a function of CaCa. On the other hand, as shown in Fig. 5(b), the migration time remains almost independent of the viscosity ratio for λ5\lambda\lesssim 5.

Refer to caption
Figure 5: The migration time (a) as a function of CaCa at λ=1\lambda=1 and f=0.01f^{\ast}=0.01 and (b) as a function of λ\lambda at Ca=1.2Ca=1.2 and f=0.01f^{\ast}=0.01. The filled symbol in (a) represent the case with the optimal Ca(=0.1)Ca(=0.1).

We also investigate the effect of the radial channel size on the migration time. Figure 6 shows the ratio of TT^{\ast} to that in a steady flow TsteadyT^{\ast}_{\mathrm{steady}} for two different channel size ratios D/d0D/d_{0} = 2.5, 3.75, and 5, corresponding to D(=2R)=20D(=2R)=20 μ\mum, 3030 μ\mum, and 4040 μ\mum for d0(=2a0)=8d_{0}(=2a_{0})=8 μ\mum, as a function of the pulsation frequency ff^{\ast}. For all cases, the initial position r0r_{0} is set to be the same above (i.e., r0/Rr_{0}/R = 0.55). The results show that, independently of the channel size, the qualitative picture discussed above remains unchanged. While the amount of the speed-up of axial migration achieved with a pulsation remains almost unaltered (around 50%50\% for this case), the value of the optimal frequency changes with DD, (the peak frequency reduces when DD is increased).

Refer to caption
Figure 6: The ratio of the elapsed time TT^{\ast} to that in steady flow TsteadyT^{\ast}_{\mathrm{steady}} as a function of ff^{\ast}. The these results are obtained with CaCa = 1.2, pamp/p0\nabla p^{\mathrm{amp}}/\nabla p_{0} = 1, and λ\lambda = 1. The filled symbols in each channel size ratio represent the case with the optical frequency which minimizes migration time.

IV IV. Conclusion

In conclusion, we have proved that the axial migration speed of an elastic capsule in a pipe flow can be substantially accelerated by making the driving pressure gradient oscillating in time. We found that, the axial migration speed increases with the amplitude of the oscillation, while the most effective frequency revealed to be independent of the oscillatory amplitude. Also, we showed that the optimal frequency depends on CaCa, but is basically independent of the viscosity ratio λ\lambda, overall proving that the changes in the axial migration are mostly due to the membrane elasticity.

The behaviour of capsules under pulsatile channel flows has been investigated in in some previous works (Lafzi et al., 2020; Maestre et al., 2019). However, our study provides the first conclusive evidence of the acceleration of the axial migration of a capsule by pulsatile flow. Although it may be expected that the capsule is trapped in a state of resonance at the optimal frequency ff^{\ast} to minimize the migration time (Fig. 4a), there is currently no clear theoretical framework on the resonance frequency of capsule in confined channel flows. Indeed, in our case the capsule configuration and its centroid are changing simultaneously, making the problem more complicated than what investigated in previous theoretical and numerical studies which assumed small deformations (i.e., weakly nonlinear problem) of drops (Chan and Leal, 1979; Magnaudet et al., 2003) and bubbles (Sugiyama and Takemura, 2010).

Given that the migration speed can be controlled by oscillatory frequency as well as background flow strength (or amplitude), the results obtained here can be utilised for label-free cell alignment/sorting/separation techniques, e.g., for circulating tumor cells in cancer patients or precious hematopoietic cells such as colony-forming cells. Our numerical results obtained physiologically relevant RBC properties in size a0a_{0} and membrane elasticity GsG_{s} form a fundamental basis for further studies on cellular flow mechanics in confined environments.

V Acknowledgments

N.T. was supported by JSPS KAKENHI Grant Number JP20H04504. M.E.R. was supported by the Okinawa Institute of Science and Technology Graduate University (OIST) with subsidy funding from the Cabinet Office, Government of Japan. he presented study was partially funded by Daicel Corporation. N.T. thanks Dr. Naoto Yokoyama for helpful discussion. Finally, the collaborative research was supported by the SHINKA grant provided by OIST.

Appendix A APPENDIX A: NUMERICAL VERIFICATION

In this section, we provide additional verifications of the results provided in the main document. In particular, we investigate the effect of the channel length LL, the Reynolds number ReRe, and the mesh resolutions on the trajectory of the capsule centroid, with the results reported in Fig. 7(a)–7(c). The figures show that no differences are observable when changing these parameters, thus suggesting that the domain is long enough, that the Reynolds number is small enough that our investigation can be considered in an inertialess condition, and that the numerical resolution is appropriate for the study. These results thus support the choice of parameters used for the rest of the investigation (i.e., Re=0.2Re=0.2, L=10a0L=10a_{0}, and 250250 μ\mum/lattice).

Finally, we show in Fig. 7(d) that when the pulsation frequency is too large, the capsule does not experience the oscillatory flow. Indeed, the trajectory under the maximum frequency ff^{\mathrm{\ast}} investigated in this study well collapses on that obtained in a steady flow.

Refer to caption
Figure 7: Time history of the radial position of the capsule centroid r/Rr/R for (a) different channel lengths (L=10a0L=10a_{0} and 20a020a_{0}), (b) different Reynolds numbers ReRe (Re=0.2Re=0.2 and 0.050.05), (c) different mesh resolutions (250250 μ\mum/lattice and 125125 μ\mum/lattice). (d) Comparison of r/Rr/R obtained with a steady flow and with the highest frequency investigated, f=5f^{\ast}=5. The results are obtained with Ca=1.2Ca=1.2, pamp=p0\nabla p^{\mathrm{amp}}=\nabla p_{0}, and λ\lambda = 1.

Appendix B APPENDIX B: THE MAXIMUM TAYLOR PARAMETER

The maximum Taylor parameter D12maxD_{12}^{\mathrm{max}}, which can be observed just after the flow onset, is shown as a function of ff^{\ast} in Fig. 8, for Ca=1.2Ca=1.2 and pamp=p0\nabla p^{\mathrm{amp}}=\nabla p_{0}. The result clearly shows that there is a specific ff^{\ast} which maximizes D12maxD_{12}^{\mathrm{max}}, which is higher than the optimal ff^{\ast} minimizing the migration time (Fig. 4a). Matsunaga et al. (2015) reported that at high frequency, a neo-Hookean spherical capsule undergoing oscillating sinusoidal shear flow cannot adapt to the flow changes and only slightly deforms according to predictions based on the asymptotic theory Barthés-Biesel and Rallison (1981); Barthés-Biesel and Sgaier (1985). Thus, the capsule at low frequencies exhibits an overshoot phenomenon, in which the peak deformation is larger than its value in steady shear flow and increases with the viscosity contrast λ\lambda and the mean value of CaCa (Matsunaga et al., 2015). Note that, our estimated frequency ff^{\ast} maximizing D12D_{12} is one order magnitude smaller than that estimated by Matsunaga et al. (2015), difference that can be associated to the different membrane constitutive laws and flow profiles (i.e., simpler shear flow vs channel flow).

Refer to caption
Figure 8: The maximum D12D_{12} as a function of ff^{\ast}. The filled symbol represents the case with the frequency which maximise D12D_{12} after flow onsets. The results are obtained for Ca=1.2Ca=1.2, pamp=p0\nabla p^{\mathrm{amp}}=\nabla p_{0}, and λ\lambda = 1.

Appendix C APPENDIX C: EFFECT OF CaCa ON DISTANCE TRAVELED DURING THE MIGRATION

From Fig. 4(c), it seems that the amplitude of oscillation can decrease significantly the relaxation process in some cases. To confirm whether this effect is robust with respect to CaCa, we investigate the distance traveled during the migration LL^{\ast} for different CaCa (=0.05,0.1,0.2=0.05,0.1,0.2 and 0.40.4) with pamp=4p0\nabla p^{\mathrm{amp}}=4\nabla p_{0} and f=0.5f^{\ast}=0.5, when LL^{\ast} tends to be longer that in the steady flow (i.e., 1L/Lsteady<01-L^{\ast}/L_{\mathrm{steady}}^{\ast}<0). From the results in Fig. 9, we can observe that the travel distance LL^{\ast} is longer than in steady flow only for high Ca(1.2)Ca(\geq 1.2).

Refer to caption
Figure 9: The distance traveled during the migration LL^{\ast}, normalized with those obtained in a steady flow LsteadyL_{\mathrm{steady}}^{\ast} as a function of CaCa for pamp=4p0\nabla p^{\mathrm{amp}}=4\nabla p_{0} and f=0.5f^{\ast}=0.5. The results are obtained with λ=1\lambda=1.

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