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Inertial particle dynamics in large artery flows - Implications for modeling arterial embolisms
Debanjan Mukherjee1, Shawn C Shadden1
1Department of Mechanical Engineering, University of California, Berkeley, United States.
Understanding embolus transport in arteries is key for diagnosis and surgery. This study reveals how particle properties and flow dynamics influence where emboli travel, aiding in predicting their distribution.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Computational Science
Background:
- Pulsatile large-artery hemodynamics exhibit complex swirling chaotic flow structures.
- Predicting inertial particle dynamics in these flows is challenging.
- Understanding embolus transport is critical for arterial embolism diagnosis and surgical planning.
Purpose of the Study:
- To investigate embolic particle dynamics and transport within arterial flow.
- To identify key factors influencing embolus distribution to major vasculature.
- To elucidate the mechanisms governing particle behavior in chaotic arterial flows.
Main Methods:
- Utilized a computational framework combining image-based Computational Fluid Dynamics (CFD) and discrete particle dynamics modeling.
- Conducted a multi-parameter sampling study to analyze embolic particle behavior.
- Investigated the influence of particle properties, release timing, and source.
Main Results:
- Embolus distribution to cerebral, renal, mesenteric, and ilio-femoral beds is strongly influenced by material properties, size, release instance, and source.
- Shear-gradient lift and elastohydrodynamic contact significantly affect embolic particle transport.
- Near-wall particle re-suspension due to lift alters aortogenic embolus dynamics compared to cardiogenic ones.
Conclusions:
- Embolic particle motion in chaotic arterial flows is non-trivially dispersive.
- Complex interplay exists between particle inertia, fluid-particle density ratio, wall collisions, and flow structures.
- Findings enhance predictive understanding of embolism progression and inform clinical strategies.
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