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CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump

Ventricular assist devices or total artificial hearts can be used to save patients with heart failure when there are no donors available for heart transplantation. Blood pumps are integral parts of such devices, but traditional axial flow blood pumps have several shortcomings. In particular, they ca...

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Autores principales: Yang, Weibo, Peng, Sijie, Xiao, Weihu, Hu, Yefa, Wu, Huachun, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880672/
https://www.ncbi.nlm.nih.gov/pubmed/35214544
http://dx.doi.org/10.3390/s22041642
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author Yang, Weibo
Peng, Sijie
Xiao, Weihu
Hu, Yefa
Wu, Huachun
Li, Ming
author_facet Yang, Weibo
Peng, Sijie
Xiao, Weihu
Hu, Yefa
Wu, Huachun
Li, Ming
author_sort Yang, Weibo
collection PubMed
description Ventricular assist devices or total artificial hearts can be used to save patients with heart failure when there are no donors available for heart transplantation. Blood pumps are integral parts of such devices, but traditional axial flow blood pumps have several shortcomings. In particular, they cause hemolysis and thrombosis due to the mechanical contact and wear of the bearings, and they cause blood stagnation due to the separation of the front and rear guide wheel hubs and the impeller hub. By contrast, the implantable axial flow, maglev blood pump has the characteristics of no mechanical contact, no lubrication, low temperature rise, low hemolysis, and less thrombosis. Extensive studies of axial flow, maglev blood pumps have shown that these pumps can function in laminar flow, transitional flow, and turbulent flow, and the working state and performance of such pumps are determined by their support mechanisms and flow channel. Computational fluid dynamics (CFD) is an effective tool for understanding the physical and mechanical characteristics of the blood pump by accurately and effectively revealing the internal flow field, pressure–flow curve, and shear force distribution of the blood pump. In this study, magnetic levitation supports were used to reduce damages to the blood and increase the service life of the blood pump, and a conical impeller hub was used to reduce the speed, volume, and power consumption of the blood pump, thereby facilitating implantation. CFD numerical simulation was then carried out to optimize the structural parameters of the conical axial maglev blood pump, predict the hemolysis performance of the blood pump, and match the flow channel and impeller structure. An extracorporeal circulation simulation platform was designed to test whether the hydraulic characteristics of the blood pump met the physiological requirements. The results showed that the total pressure distribution in the blood pump was reasonable after optimization, with a uniform pressure gradient, and the hemolysis performance was improved.
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spelling pubmed-88806722022-02-26 CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump Yang, Weibo Peng, Sijie Xiao, Weihu Hu, Yefa Wu, Huachun Li, Ming Sensors (Basel) Article Ventricular assist devices or total artificial hearts can be used to save patients with heart failure when there are no donors available for heart transplantation. Blood pumps are integral parts of such devices, but traditional axial flow blood pumps have several shortcomings. In particular, they cause hemolysis and thrombosis due to the mechanical contact and wear of the bearings, and they cause blood stagnation due to the separation of the front and rear guide wheel hubs and the impeller hub. By contrast, the implantable axial flow, maglev blood pump has the characteristics of no mechanical contact, no lubrication, low temperature rise, low hemolysis, and less thrombosis. Extensive studies of axial flow, maglev blood pumps have shown that these pumps can function in laminar flow, transitional flow, and turbulent flow, and the working state and performance of such pumps are determined by their support mechanisms and flow channel. Computational fluid dynamics (CFD) is an effective tool for understanding the physical and mechanical characteristics of the blood pump by accurately and effectively revealing the internal flow field, pressure–flow curve, and shear force distribution of the blood pump. In this study, magnetic levitation supports were used to reduce damages to the blood and increase the service life of the blood pump, and a conical impeller hub was used to reduce the speed, volume, and power consumption of the blood pump, thereby facilitating implantation. CFD numerical simulation was then carried out to optimize the structural parameters of the conical axial maglev blood pump, predict the hemolysis performance of the blood pump, and match the flow channel and impeller structure. An extracorporeal circulation simulation platform was designed to test whether the hydraulic characteristics of the blood pump met the physiological requirements. The results showed that the total pressure distribution in the blood pump was reasonable after optimization, with a uniform pressure gradient, and the hemolysis performance was improved. MDPI 2022-02-19 /pmc/articles/PMC8880672/ /pubmed/35214544 http://dx.doi.org/10.3390/s22041642 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Weibo
Peng, Sijie
Xiao, Weihu
Hu, Yefa
Wu, Huachun
Li, Ming
CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title_full CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title_fullStr CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title_full_unstemmed CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title_short CFD-Based Flow Channel Optimization and Performance Prediction for a Conical Axial Maglev Blood Pump
title_sort cfd-based flow channel optimization and performance prediction for a conical axial maglev blood pump
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880672/
https://www.ncbi.nlm.nih.gov/pubmed/35214544
http://dx.doi.org/10.3390/s22041642
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