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On Eulerian versus Lagrangian models of mechanical blood damage and the linearized damage function
Mohammad Mohaghegh Faghih1, M Keith Sharp1
1Biofluid Mechanics Laboratory, Department of Mechanical Engineering, University of Louisville, Louisville, KY, USA.
The Eulerian method for predicting blood damage has two key limitations. These issues restrict its use to simple flows and may require complex flow field analysis for accurate predictions in cardiovascular devices.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Computational Mechanics
Background:
- Hemolysis prediction is crucial for evaluating blood damage in medical devices.
- The Eulerian method offers a computational approach to predict hemolysis.
- Previous models often rely on linearized blood damage functions.
Purpose of the Study:
- To identify and address limitations in the Eulerian method for hemolysis prediction.
- To evaluate the impact of linearization on the accuracy of hemolysis prediction.
- To explore the applicability of the Eulerian method in complex flow scenarios.
Main Methods:
- Analysis of the Eulerian method's derivation from a Lagrangian power-law model.
- Investigation of the spatial dependence of exposure duration in fluid stress.
- Examination of the validity constraints of linearization for blood damage functions.
Main Results:
- The Eulerian method, as derived, neglects spatial variations in exposure duration, limiting its validity to steady, uniaxial flow.
- Linearization of the blood damage function imposes constraints that severely restrict the method's applicability.
- The source term in the Eulerian method does not account for velocity differences in similar flows, necessitating complex flow field analysis for accurate correction.
Conclusions:
- The current Eulerian method for hemolysis prediction has significant limitations due to simplifications in its derivation.
- Accurate application of the Eulerian method to complex flows, such as those in cardiovascular devices, requires overcoming these limitations.
- Further development is needed to enhance the robustness and applicability of Eulerian hemolysis prediction models.
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