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A Review of Hemolysis Prediction Models for Computational Fluid Dynamics
Author(s) -
Yu Hai,
Engel Sebastian,
Janiga Gábor,
Thévenin Dominique
Publication year - 2017
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1111/aor.12871
Subject(s) - hemolysis , computational fluid dynamics , mechanics , blood flow , computational model , flow (mathematics) , fluid dynamics , computer science , work (physics) , model validation , biomedical engineering , simulation , physics , mechanical engineering , engineering , medicine , cardiology , data science , immunology
Abstract Flow‐induced hemolysis is a crucial issue for many biomedical applications; in particular, it is an essential issue for the development of blood‐transporting devices such as left ventricular assist devices, and other types of blood pumps. In order to estimate red blood cell (RBC) damage in blood flows, many models have been proposed in the past. Most models have been validated by their respective authors. However, the accuracy and the validity range of these models remains unclear. In this work, the most established hemolysis models compatible with computational fluid dynamics of full‐scale devices are described and assessed by comparing two selected reference experiments: a simple rheometric flow and a more complex hemodialytic flow through a needle. The quantitative comparisons show very large deviations concerning hemolysis predictions, depending on the model and model parameter. In light of the current results, two simple power‐law models deliver the best compromise between computational efficiency and obtained accuracy. Finally, hemolysis has been computed in an axial blood pump. The reconstructed geometry of a HeartMate II shows that hemolysis occurs mainly at the tip and leading edge of the rotor blades, as well as at the leading edge of the diffusor vanes.