摘要
以汽车法兰盘为例,对锻模的飞边槽进行优化设计,使锻件填充饱满。以飞边金属材料的体积为优化目标,采用内接的中心复合设计方法,结合数值模拟试验,通过回归建立了二次多项式的响应面模型。通过响应面分析,得出影响飞边体积和充型饱满度的显著因素是飞边槽桥部的高度。在此基础上,得到优化的飞边槽结构尺寸。最后,应用Kriging模型结合遗传算法,进行了优化对比。结果表明,在较少因素情况下,响应面方法比遗传算法所需时间更短、优化效果更好。
Taking automobile flange as an example, the flash cave of forging-die was optimized and the forging part was filled fully. With the optimization objective of minimizing flash volume, the quadratic polynomial response surface model was built by regressive analysis using the inscribed central composite design method and numerical simulation. The conclusion is that the flash land height is the important influencing factor on the flash volume and filling is obtained by analyzing the response surface model. On the basis of these, the optimized flash cave sizes are obtained. Finally, the flash cave sizes are compared using genetic algorithm and Kriging model. The results show that the response surface method takes shorter time and has better effect than the genetic algorithm when the factors are less.
出处
《热加工工艺》
CSCD
北大核心
2009年第21期97-100,104,共5页
Hot Working Technology
关键词
飞边槽
中心复合设计
响应面方法
遗传算法
flash cave
central composite design
response surface method（RSM）
genetic algorithm
