Home LiteratureArticle Details
PMID: 26526039 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Computational Fluid Dynamics-Based Design Optimization Method for Archimedes Screw Blood Pumps.

Artificial organs ·Vol. 40 ·No. 4 ·2016-04-00 ·页码 341-52

Yu H, Janiga G, Thévenin D

Abstract

An optimization method suitable for improving the performance of Archimedes screw axial rotary blood pumps is described in the present article. In order to achieve a more robust design and to save computational resources, this method combines the advantages of the established pump design theory with modern computer-aided, computational fluid dynamics (CFD)-based design optimization (CFD-O) relying on evolutionary algorithms and computational fluid dynamics. The main purposes of this project are to: (i) integrate pump design theory within the already existing CFD-based optimization; (ii) demonstrate that the resulting procedure is suitable for optimizing an Archimedes screw blood pump in terms of efficiency. Results obtained in this study demonstrate that the developed tool is able to meet both objectives. Finally, the resulting level of hemolysis can be numerically assessed for the optimal design, as hemolysis is an issue of overwhelming importance for blood pumps.

Keywords
Computational fluid dynamics Hemolysis Left ventricular assist device Pump design Pump optimization Screw blood pump
MeSH 主题词
Computer Simulation Computer-Aided Design Equipment Design Heart-Assist Devices Hemorheology Humans Hydrodynamics Models, Cardiovascular
作者与单位
共 3 位作者,点击展开单位 / ORCID
Yu Hai
Laboratory of Fluid Dynamics & Technical Flows, University of Magdeburg "Otto von Guericke, Magdeburg, Germany.
Janiga Gábor
Laboratory of Fluid Dynamics & Technical Flows, University of Magdeburg "Otto von Guericke, Magdeburg, Germany.
Thévenin Dominique ORCID
Laboratory of Fluid Dynamics & Technical Flows, University of Magdeburg "Otto von Guericke, Magdeburg, Germany.
Article Info
Journal
Artificial organs
Abbr.
Artif Organs
ISSN
1525-1594
Published
2016-04-00
电子出版
2015-00-02
页码
341-52
Language
English
Country/Region
United States
NLM ID
7802778
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]