抄録
Plastic injection molding (PIM) is one of the most widely used manufacturing processes for producing plastic parts. Warpage is a serious defect in PIM, especially for the thin shell plastic products. It is an important issue in the PIM to predict the warpage and optimize process parameters. In this study the Sequential Approximate Optimization (SAO) with radial basis function (RBF) network is employed for the warpage optimization. As an example, a thin shell plate simulated by finite element (FE) analysis is investigated. In general, Computer aided engineering (CAE) analysis in PIM is so expensive and time-consuming task, and then the response surface method (RSM) approach is valid to optimize the process parameters. In the RSM, the responses are calculated at some sampling points, and the response surface is constructed. Optimization technique is applied to the response surface to find out the optimal solution. To reduce the warpage, the objective function is taken as the maximum displacement of a thin shell structure. The mold temperature, the melt temperature, the packing time, the packing pressure, and the cooling time are taken as the design variables. The numerical simulation is carried out by Moldex3D. Through the numerical simulation, the optimal process parameters are determined for warpage optimization. The results show that the proposed method can reduce the warpage effectively.
