分岐管形状の最適化 : 流体工学 , 流体機械

概要

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This paper deals with the optimal geometry of two-dimensional symmetric Y-bifurcation. The optimal geometry was determined by i) minimizing the time averaged pressure loss of the flow through the bifurcation, ii) minimizing the local maximum value of time averaged wall shear stress gradient. The neural network was utilized to identify the relation between the geometry and time averaged pressure loss or the relation between the geometry and local maximum value of time averaged wall shear stress gradient, and the optimal geometry was determined according to the results of identification. Numerical results showed that the cross-sectional area of the optimal geometry reaches its maximum at the apex and this feature is resembling to the actual bifurcation geometry in the artery. So, it was expected the present study was effective to understand the geometry of artery in the body.
社団法人日本機械学会の論文
2001-03-25