The Thin-wall Injection Molding Process Parameters Optimization Research

With the development of the electronics, communications, computer industry, plastics industry developed by leaps and bounds, The thin-walled injection is developed on the basis of conventional injection molding technique. The thinner can reduce the products’size and weight, be shorten of the production cycle and cost down and so on, but the thinner made the molding process become more complicated, what’s more, It is difficult to control the quality of plastic products.It is obvious effect in the quality of thin-walled plastic parts that are pouring system, cooling system, the optimization of process parameters, etc. In the course of the study, it had certain reliability that the CAE simulation technology used in the analysis of thin-walled injection molded parts. The article used a fan as the study object, First, the structure of fan process were studied. Based on CAE technology, designed the gating system and the cooling system, through the Moldflow software to analysis gating system, cooling system, At last, test results verified the effectiveness of the cooling fans finite element model by flow analysis and cool analysis.In the injection molding process, it involved in a lot of parameters, the different materials, the different process parameters on its influence. In this paper, based on the CAE technology and experiment design method, which can be use in the thin-wall plastic parts process parameters optimization. In the molding process, the ultimate goal is the minimum warpage, first of all, the single factor’s influence on the buckling deformation is studied. After, using the Minitab software to build the Plackett-Burman design experiment, Multi-factor experiment was carried out. It can select the three significant factors from the six factors, which were the injection time, the holding pressure and the melting temperature. After, the steepest uphill experiment got the center plot, and then, using the Box-Behnken design to build3levels and3standards experiment, that is a total of15sites test plan, including12sites, three zero plot. Using the response surface method built the quadratic multinomial model about the impact of the buckling deformation. Through the ANONA analysis, the factors of significance, the model’s interaction and the reliability of the experimental values obtained the effective inspection. Through the response surface and contour map to observe the effects of two factor interactions, The best levels combination of process parameters was obtain by the response surface method, which can got the minimum warpage, the simulation test and the estimated value has tiny difference, model can well predict the actual situation.The results showed that the optimize of the molding process can effectively reduce the warp deformation, the response surface method is adopted to improve the quality of plastic parts in the process of production, which has some guiding significance.