基于响应面法和保压曲线的注塑工艺参数优化分析  

Injection Molding Parameter Optimization Based on Response Surface Methodology and Packing Curve

作　　者：马晓东[1] 娄淑梅[1] 王安宁[1] 范克健 刘苏俊[1] 

机构地区：[1]山东科技大学机械电子工程学院,山东青岛266590

出　　处：《塑料科技》2017年第7期81-86,共6页Plastics Science and Technology

基　　金：山东省自然科学基金项目(ZR2014JL040)

摘　　要：以某一电工仪表外壳为研究对象,模具温度、熔体温度、充填时间和保压压力4个注塑工艺参数为优化目标,制品残余应力和体积收缩率为试验目标函数,采用响应面法(RSM)进行试验设计。所得最优工艺参数优化组合为:模具温度80℃、熔体温度285℃、充填时间1.8 s、保压压力89.18 MPa。经Moldflow模拟,得到最大残余应力与最大体积收缩率分别为54.83 MPa和3.395 4%,这表明响应面模型对工艺参数具有很好的优化效果。以此工艺参数组合为基础,进一步对保压曲线进行优化,得到了近乎最小的残余应力和体积收缩率,从而保证了产品质量,提高了生产效率。Taking the outer shell of an electrical instrument as the research object, four injection-molding process parameters（melt temperature, melt temperature, filling time and packing pressure） as the optimization objects, residual stress and volume shrinkage ratio of the products as experimental objective function, the response surface method（RSM） was applied to design the experiments. The optimal combination of process parameters was obtained as follows： mold temperature of 80℃, melt temperature of 285℃, filling time of 1.8 s, packing pressure of 89.18 MPa. Verified by test of Moldflow simulation, the maximum residual stress and the maximum volume shrinkage are 54.83 MPa and 3.395 4%, respectively, which indicates that the response surface model could well optimize process parameters. Based on this combination of process parameters, the packing curve is further optimized to obtain nearly minimum residual stress and volume shrinkage, so as to ensure the product quality and improve the production efficiency.

关 键 词：响应面法 注塑工艺参数 残余应力 体积收缩率 保压曲线 

分 类 号：TQ320.662[化学工程—合成树脂塑料工业]