遺伝的アルゴリズムによる血液ポンプの多目的最適設計(流体工学,流体機械)  [in Japanese] Multi-Objective Optimal Design of Blood-Pump Using Genetic Algorithm(Fluids Engineering)  [in Japanese]

Multi-Objective Genetic Algorithm (MOGA) optimization was developed for a small and high efficiency blood pump without hemolysis. The outer diameter of impeller and hydrodynamic efficiency were chosen as objective functions, and the rotational speed of impeller was chosen as a constraint condition. The measured pump performance of the GA optimized pump showed good agreement with the required one. Unsteady RANS calculations presented that the GA optimized pump can suppress higher shear velocity in the blood pump. As the result of the present study the GA optimization is found to be effective for the design of blood pumps.

Multi-Objective Genetic Algorithm (MOGA) optimization was developed for a small and high efficiency blood pump without hemolysis. The outer diameter of impeller and hydrodynamic efficiency were chosen as objective functions, and the rotational speed of impeller was chosen as a constraint condition. The measured pump performance of the GA optimized pump showed good agreement with the required one. Unsteady RANS calculations presented that the GA optimized pump can suppress higher shear velocity in the blood pump. As the result of the present study the GA optimization is found to be effective for the design of blood pumps.