Multi-Objective Optimization of Blood-Pump with Conical Spiral Groove Bearings
Multi-Objective Genetic Algorithm (MOGA) optimization was developed to realize a smaller and higher efficiency blood pump without hemolysis. The hydrodynamic efficiency, impeller outer diameter, and shear velocity were chosen as GA objective functions. The measured pump performance of the GA optimized pump was acceptable as a blood pump. And unsteady RANS calculations showed that the hemolysis can be suppressed in the GA optimized pump by eliminating higher shear velocity region in flow. As the result of the present study the GA optimization is found to be effective for the design of blood pumps.
blood pump centrifugal pump optimal design genetic algorithm CFD medical device
Masahiro Kaneko Yoichi Nakamura Koji Miyazaki Hiroshi Tsukamoto
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-3 Hibikin Faculty of Engineering, Kyushu Institute of Technology, 2-3 Hibikino, Wakamatsu-ku, Kitakyushu, Fuku
国际会议
The Fourth International Symposium on Fluid Machinery and Fluid Engineering(第四届流体机械与流体工程国际会议)
北京
英文
285-290
2008-11-25(万方平台首次上网日期,不代表论文的发表时间)