Optimization Design Of Videophone Injection Mold Based On Genetic Algorithm

Videophone based on fixed line has fast developed following 3G epoch. This has brought about great convenience for people's lives, such as increasing contact, enhancing efficiency and reducing expense. However, quality is product's life. Traditional designing methods hasn't met the demond of modern products. So the study is put forward for improving product quality and mold design efficiency, in which modern design methods is used.The object of the study is new developed videophone shell. The injection mold structure is optimized by combination of CAE and Genetic Algorithm(GA). Possible injection defectiveness of new developed videophone shell is predicted. Then structural parameters of mold's runner system and cooling system are optimized on the prediction. Possible injection defectiveness is reduced. The goal which is improving product quality and mold design efficiency is achieved in theory. The task of the study includes two main aspects:First, runner system structure, designing principles and importance of gate optimization are expounded. Then mathematical model(objective function and constraint) for gate optimization is constructed based on the balanced flow theory of filling fused mass. MPI analysis and GA is used in solving process. Balance melt flow is obtained. Optimization consequences show possible air traps and weld lines have been obviously improved.Second, to obtain uniform cavity temperature, mathematical model for cooling system is constructed followed 2D steady-state model of mold heat transport. Design principle of cooling system is used in the same time. The model considers product quality and cooling efficiency by setting reasonable weighting coefficient. Ideal cooling system structure is gained by using MPI analysis and GA.Optimization results indicateed, the combination took both advantages of CAE and GA, is helpful for improving product quality and mold design efficiency. The results of this research can be applied in trial-production of interrelated product. Meanwhile, new ideas are given for injection mold optimization.