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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

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A homogenized two-phase computational framework for meso- and macroscale blood flow simulations.

Abhishek Karmakar¹, Greg W Burgreen², Grant Rydquist³

¹Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA.

Computer Methods and Programs in Biomedicine

|February 23, 2024

Summary

This study introduces a new computational model for blood flow that simplifies complex rheology while maintaining detailed flow resolution. The model accurately predicts red blood cell behavior in various microfluidic conditions.

Keywords:

Hemodynamics Hemorheology Slip velocity Two-phase flow

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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

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Published on: December 3, 2018

Area of Science:

Computational fluid dynamics
Biomedical engineering
Hemodynamics

Background:

Modeling blood flow is crucial due to its complex rheology.
Existing computational fluid dynamic models face challenges with scalability when incorporating thrombosis and embolization.
A need exists for computationally efficient blood flow models that retain high flow resolution.

Purpose of the Study:

To present a homogenized two-phase blood flow framework.
To develop a model with single-fluid characteristics but two-fluid resolution.
To validate the framework against experimental data.

Main Methods:

Utilized a classical diffusion-flux framework for computational efficiency.
Proposed a modified slip velocity equation derived from two-fluid governing equations.
Incorporated new hematocrit-dependent expressions for drag and lift forces on red blood cells (RBCs).
Discretized and solved equations using OpenFOAM.

Main Results:

Validated the framework against four distinct experimental setups.
Demonstrated accurate prediction of RBC velocity profiles and hematocrit distributions in microchannels.
Showcased good agreement with experimental data for cell-free layer thickness and hematocrit contours.
Successfully predicted experimental hematocrit distributions in a left ventricular assist device-mimicking channel.

Conclusions:

The developed framework efficiently models multiscale blood flow physics.
It leverages numerical techniques suitable for single-phase flow simulations.
The model is well-suited for complex applications like thrombosis and embolization studies.