Authors
Qing Han, Xuemin Liu, Jiejie Shao, Peng Wang, Honghua Zhao
Published in
Artificial organs. Aug 21, 2026. Epub Aug 21, 2026.
Abstract
As a core component of mechanical circulatory support devices, a centrifugal blood pump with excessively low hydraulic efficiency can lead to poor blood compatibility, low efficiency, excessive heat generation, insufficient blood supply, and pressure fluctuations. These issues adversely affect patient prognosis. To address these bottlenecks, this study aims to perform structural optimization of the centrifugal blood pump with the goal of improving hydraulic efficiency and exploring suitable optimization methods.
This study takes the UJN-1 magnetically suspended centrifugal blood pump as the research object, with hydraulic efficiency simulated by computational fluid dynamics (CFD) as the target, and compares the results of optimizing four impeller parameters (blade inlet angle, outlet angle, number of blades, blade height) using orthogonal experiments and neural network-genetic algorithm (NN-GA).
Genetic algorithm (GA) optimization yielded an impeller with 20.48° inlet angle, 17.22° outlet angle, 6 blades, and 4.55 mm height. Its hydraulic efficiency increased by 2.38%, outlet pressure fluctuation decreased significantly, and it outperformed the orthogonal pump by 1.57%. Hydraulic experiments validated the results, with deviations within approximately ±1% of CFD.
The NN-GA demonstrates superior global optimization capabilities to the orthogonal experiment.
This study provides new insights for multi-parameter coupled centrifugal blood pump optimization and guides pump design in energy, chemical, and semiconductor industries.
PMID:
42630022
Bibliographic data and abstract were imported from PubMed on 22 Aug 2026.
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