Processing Optimization for Injection Plastic Molding on Mold Design Grid

According to the facts that optimization problems are always complex and requiring a long computing time, the grid is a good choice for solving this kind of problems. Based on the globus toolkits 4, a four-layer architecture mold design grid (MDG) platform is presented to meet the resources sharing and coordinated use equipments in solving the complex problem in the optimization design of injection mold. In this paper, a sequential approximation programming is presented to do processing optimization on the MDG. The optimization model is constructed by kriging surrogate function. As an example, the processing optimization of cellular phone cover is investigated, in which mold temperature, melt temperature and injection time are regarded as design variables. The optimization results show that the proposed optimization method can effectively improve the injection conditions, and the framework for optimization is well suitable for grid computing. The results by using different number grid nodes also show that the grid is high speed-up and efficiency.