2020
DOI: 10.21203/rs.2.24520/v1
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Multiple Parameters and Target Optimization of Splitter Blades for Blood Pumps Using CFD and Neural Networks

Abstract: Background: The splitter blade is an improved structure effective in traditional pumps. However, applying splitter blades to blood pumps is a complex optimization problem with multiple parameters and objectives, because structural parameters, blood circulation dynamics, and blood damage need to be considered simultaneously. This study aims to obtain the performance impact of the splitter blade and make it well used in blood pumps through CFD and neural networks.Results: This study combines CFD and neural netwo… Show more

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