Research On High-gloss Injection Molding Product Defects Prediction And Control

With the rapid development of plastic industry, plastic products, more high quality requirements, combined with an increasingly strong awareness of environmental protection, which requires industry to develop a contribution to the quality of the environment and high technology, high-light injection shape is such a technology, it is in the ordinary injection molding developed a new technology, the products it produced mirror surface finish can be achieved without secondary processing, which can reduce the environmental pollution caused by spraying, but high optical injection molding products is a very complicated process, if not properly controlled process conditions, are often more prone to defects, the present high optical injection molding weld line defects and warping so common.With the help of CAE software, combined with orthogonal optical injection molding of high warpage, shrinkage, and weld lines, etc. were simulated and analyzed, and the use of differential analysis and variance analysis on the warpage and shrinkage analysis, obtained process parameters on high light warpage of injection molding products and the volume shrinkage rate trends, and comprehensive analysis and comparison of this data processing method. And using the optimized gate location and increase heat flow channel prediction control Weld.In addition, an example of a Bluetooth car models, this paper will use BP neural network and regression analysis were carried out using matlab software for its modeling, in the use of binomial regression analysis of multivariate data modeling in order to better fit, on the basis of the orthogonal experiment using CAE added six kinds of experiments; then were of the model were tested and the projections upon which the model is reasonable, and that such models of high optical injection molding defects have very good control of. Finally a comprehensive comparison of the two forecasting methods, analysis of their advantages and disadvantages of each application. And through the actual production and predictive control test results, found in the actual production control theory has very good guidance.