基于响应面的多工位锻造工艺优化  

Optimization of Multi-stage Forging Process Based on the Response Surface Methodology

作　　者：梁艳迁[1] 赵震[1] 吴彦骏[1] 高崇晖[1] 胡成亮[1] 

机构地区：[1]上海交通大学模具CAD国家工程研究中心,上海200030

出　　处：《上海交通大学学报》2009年第5期713-716,721,共5页Journal of Shanghai Jiaotong University

摘　　要：利用Taguchi方法对多工位锻造工艺参数进行显著性筛选,采用随机抽样的拉丁超立方(LHS)设计并进行数值模拟实验,运用最小二乘法(LS)和移动最小二乘法(MLS)建立抽样点的响应面模型,应用遗传算法进行迭代优化,并对2种建模方法加以对比.结果表明,MLS模型的误差比LS模型平均降低36.7%.多工位锻造零件经过近似模型方法优化,最大成形载荷从918 kN降至569 kN,成形质量显著提高.Taguchi method was used to select the most important factors of multi-stage forging process and a kind of random sampling method, Latin hypercube sampling was applied to design and execute the numerical simulation experiment. Furthermore, based on the samples, the moving least squares （MLS） and least square （LS） methods were adopted to establish the response surface model, which was used for the iterative optimization process with genetic algorithm. Comparison was carried out between the MLS and LS modeling methods, and the result shows 36.7% decrease of MLS model error compared with LS. The loads of multi-station forging part decrease from 918 kN to 569 kN after optimized by the approximation model optimization method, and the forming quality is improved significantly.

关 键 词：多工位锻造 拉丁超立方 移动最小二乘法 迭代优化 

分 类 号：TG316[金属学及工艺—金属压力加工]