铝型材挤压模具导流孔结构优化

来源期刊：中南大学学报(自然科学版)2007年第2期

论文作者：林高用 周佳 张永宁 陈兴科 蒋杰 王芳

文章页码：225 - 225

关键词：BP人工神经网络；遗传算法；挤压模具；导流孔；有限体积法

Key words：BP artificial neural network; genetic algorithm; extrusion die; deflector hole; finite volume method

摘    要：<SPAN style="FONT-SIZE: 9pt; FONT-FAMILY: SimSun; mso-bidi-font-size: 12.0pt; mso-ascii-font-family:

Abstract: BP artificial neural network, genetic algorithm and finite element method (FEM) simulation were applied to optimization of the deflector hole design of profile extrusion die on MATLAB foundation. Orthogonal test was arranged for numerical simulation to get z-velocity at the die land exit which was used as the target value of the model. The BP artificial neural network was trained by the above z-velocity values to form knowledge source; and the general optimized solution was attained through genetic algorithm. At last, the optimized guide extrusion die was analyzed by SuperForge FEM software and compared to the design in the experiential way. The results of the computer aided engineering analysis shows that the optimization process is effective and the optimized deflector hole makes the velocity distribution in the die land more uniform.

基金信息：云南省省院省校科技合作计划项目