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With the rapid development of the plastics industry , more and more high- quality plastic products , coupled with environmental awareness has become stronger , which requires the development of a high quality and contribute to environmental technology , high light injection molding precisely such a technology , it is a new technology developed in the ordinary injection molding products produced surface finish can reach the mirror does not require secondary processing , which can reduce the environmental pollution caused due to the spray , high light injection molding is a very complex process , control of process conditions is not appropriate , and tend to be more prone to defects , high gloss injection molding products defective weld lines and warp . With the help of CAE software combined with orthogonal experiment warping deformation of high light injection molding products , volume shrinkage and weld marks were simulated and analyzed , and the use of differential analysis and analysis of variance analysis warpage and volumetric shrinkage obtained the process parameters of injection molding products , high light warpage and the impact of volume shrinkage trend , and comprehensive analysis and comparison of this data processing method . And use of to optimize gate position and increase heat flow Road predictive control weld marks . Car Bluetooth to a section , for example, this paper, the use of BP neural network and regression analysis by matlab software its modeling , multivariate binomial modeling using regression analysis in order to better fit the data , in the orthogonal experiments based on the use of CAE analysis added six kinds of experiments ; then the detection and prediction of their model , the model is reasonable , resulting in good control of this model of high optical injection molding product defects . Finally, a comprehensive comparison of these two forecasting methods , analysis of their respective advantages and disadvantages as well as the scope of application . The comparison of the test results , found predictive control good theoretical significance of the actual production and control actual production forecast .
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