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Force and torque on spherical particles in micro-channel flows using computational fluid dynamics.

Jin Suo1, Erin E Edwards1, Ananyaveena Anilkumar2

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Computational fluid dynamics (CFD) offers more accurate estimations of hemodynamic forces on cells in microfluidic devices. CFD simulations show higher rotational velocities and better experimental agreement than traditional models for cell adhesion studies.

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Area of Science:

  • Biomechanics
  • Fluid Dynamics
  • Cell Biology

Background:

  • In vitro fluidic assays are crucial for studying cell adhesion under physiological flow conditions.
  • Accurate estimation of hemodynamic forces is essential for understanding cell behavior in flow.
  • Existing theoretical models may not fully capture complex flow dynamics.

Purpose of the Study:

  • To develop and validate a computational fluid dynamics (CFD) framework for estimating hemodynamic forces on spheres in flow.
  • To compare CFD results with a traditional Stokes flow model and experimental data.
  • To improve the accuracy of force estimations in microfluidic cell adhesion studies.

Main Methods:

  • Solving three-dimensional Navier-Stokes equations using CFD.
  • Modeling fluid flow near a plane acting on stationary or free-flowing spheres.
  • Comparing CFD predictions with a theoretical Stokes flow model (constant shear rate).
  • Validating results against experimental measurements of microsphere and cell velocities.

Main Results:

  • CFD simulations with parabolic velocity profiles yielded similar translational velocities to theoretical models.
  • CFD predicted approximately 50% higher rotational velocities compared to the theoretical model.
  • CFD and theoretical models showed a ~25% difference in force and torque calculations.
  • CFD simulations demonstrated significantly lower error when compared to experimental data.

Conclusions:

  • CFD modeling provides more accurate estimations of hemodynamic forces on cells in microfluidic flow fields.
  • The enhanced accuracy of CFD is particularly evident in predicting rotational velocities.
  • CFD frameworks offer a superior tool for analyzing cell adhesion dynamics in microfluidic devices.
  • This approach can lead to more reliable insights into cell-adhesion processes under physiological flow.