An energy-dissipation-based power-law formulation for estimating hemolysis.
Peng Wu1, Sascha Groß-Hardt2, Fiete Boehning3
1Artificial Organ Technology Laboratory, Bio-manufacturing Research Centre, School of Mechanical and Electric Engineering, Soochow University, Suzhou, Jiangsu, China. pwu@suda.edu.cn.
Biomechanics and Modeling in Mechanobiology
|October 16, 2019
Summary
This study introduces a new power-law model for predicting blood cell damage in medical devices. The improved model uses energy dissipation rate, offering more accurate hemolysis predictions across various flow conditions.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Computational Science
Background:
- Hemolysis, or red blood cell rupture, is a critical issue in blood-circulating devices due to mechanical stresses.
- Current computational fluid dynamics (CFD) models often over-predict hemolysis using Reynolds stress.
Purpose of the Study:
- To develop a novel power-law formulation for numerical hemolysis prediction.
- To improve the accuracy of predicting blood damage in blood-circulating devices.
Main Methods:
- Proposed a new power-law formulation relating hemolysis to energy dissipation rate.
- Regressed model constants using existing hemolysis data.
- Validated the new formulation against conventional models using three benchmark cases.
Main Results:
- The new formulation demonstrated improved hemolysis prediction accuracy across diverse flow regimes.
- Deviations between predicted and experimental hemolysis were within one order of magnitude.
- Confirmed Reynolds stress as a primary cause of over-prediction in conventional models.
Conclusions:
- The energy dissipation rate offers a more accurate metric for hemolysis prediction than Reynolds stress.
- The proposed model enhances the design and optimization of blood-circulating devices.
- This approach provides better correlation with experimental hemolysis data.
