Article ; Online: Numerical assessment of hemodynamic perspectives of a left ventricular assist device and subsequent proposal for improvisation.
Computers in biology and medicine
2022 Volume 151, Issue Pt A, Page(s) 106309
Abstract: Due to the unavailability of donors, the use of left ventricular assist devices has emerged to be a reliable line of alternative treatment for heart failure. However, ventricular assist devices (VAD) have been associated with several postoperative ... ...
Abstract | Due to the unavailability of donors, the use of left ventricular assist devices has emerged to be a reliable line of alternative treatment for heart failure. However, ventricular assist devices (VAD) have been associated with several postoperative complications such as thrombosis, hemolysis, etc. Despite considerable improvements in technology, blood trauma due to high shear stress generation has been a major concern that is largely related to the geometrical feature of the VAD. This study aims to establish the design process of a centrifugal pump by considering several variations in the geometrical feature of a base design using the commercial solver ANSYS-CFX. To capture the uncertain behavior of blood as fluid, Newtonian, as well as non-Newtonian (Bird-Carreau model), models are used for flow field prediction. To assess the possibility of blood damage maximum wall shear stress and hemolysis index have been estimated for each operating point. The results of the simulations yield an optimized design of the pump based on parameters like pressure head generation, maximum shear stress, hydraulic efficiency, and hemolysis index. Further, the design methodology and the steps of development discussed in the paper can serve as a guideline for developing small centrifugal pumps handling blood. |
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MeSH term(s) | Humans ; Heart-Assist Devices ; Hemolysis ; Hemodynamics ; Heart Failure/surgery ; Stress, Mechanical |
Language | English |
Publishing date | 2022-11-17 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 127557-4 |
ISSN | 1879-0534 ; 0010-4825 |
ISSN (online) | 1879-0534 |
ISSN | 0010-4825 |
DOI | 10.1016/j.compbiomed.2022.106309 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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