A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices

Biomechanics and Modeling in Mechanobiology
Brent A CravenRichard A Malinauskas

Abstract

Most stress-based hemolysis models used in computational fluid dynamics (CFD) are based on an empirical power law correlation between hemolysis generation and the flow-induced stress and exposure time. Empirical model coefficients are typically determined by fitting global hemolysis measurements in simplified blood shearing devices under uniform shear conditions and with well-defined exposure times. CFD simulations using these idealized global empirical coefficients are then performed to predict hemolysis in a medical device with complex hemodynamics. The applicability, however, of this traditional approach of using idealized coefficients for a real device with varying exposure times and non-uniform shear is currently unknown. In this study, we propose a new approach for determining device- and species-specific hemolysis power law coefficients (C, a, and b). The approach consists of calculating multiple hemolysis solutions using different sets of coefficients to map the hemolysis response field in three-dimensional (C, a, b) parameter space. The resultant response field is then compared with experimental data in the same device to determine the coefficients that when incorporated into the locally defined power law model yield c...Continue Reading

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Oct 7, 2018·Cardiovascular Engineering and Technology·Prasanna HariharanRichard A Malinauskas

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Citations

Apr 17, 2020·Cardiovascular Engineering and Technology·Nicolas Tobin, Keefe B Manning
Nov 18, 2020·Expert Review of Cardiovascular Therapy·Giulia LuraghiFrancesco Migliavacca
Jun 10, 2021·Biomechanics and Modeling in Mechanobiology·Mesude AvciDimitrios V Papavassiliou
Jul 1, 2021·Biomechanics and Modeling in Mechanobiology·Mohamad Sadeq KarimiAhmad Nourbakhsh

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