Evaluation And Optimization Of Processing Parameter Setting For Plastic Injection Molding Based On CAE

There are some disadvantages in the application of CAE software for plastic injection molding such as redundantly depending on the experience and knowledge of injection molding and lowly intelligent ability. These disadvantages greatly limit the application of CAE software for ijection molding. In respect to this, the application and intelligentization of CAE software for injection molding has been systemically studied in this paper.The advantages and disadvantages of three kinds of analysis models which are mainly used in CAE software for injection molding have been discussed. And the suited applied areas of each model have been studied. The key factor to get the accurate results which is to choose an appropriate kind of analysis model has also been pointed out.In the pre-processing stage, the optimized model which is used to optimize the gate location according to the cavity balance has been constructed on the fusion geometry model. The method to evaluate the melt flow balance is put forward. The finite element mesh geometry model has been successfully transformed to the weighted undirected graph through the model of equivalent flow length which is derived on some simplified conditions. Therefore, the problem of calculating the flow length changes to calculate the shortest path of the undirected graph and the flow length could be got by the shortest path method. A new method combining the Generic Algorithm and Hill-Climbing Algorithm has been used to search the best gate node.In the post-processing stage, the methods have been summarized which are used to evaluate the quality of injection molding parts based on the data calculated by the injection molding software, and the automatic algorithm of the evaluation is also constructed according to the methods mentioned above. Using the theory of Fuzzy Comprehensive Evaluation, the comprehensive evaluation model based on the analysis results of CAE software has been structured and it could help engineers to evaluate the processing parameter setting.A fuzzy inference system has been developed to optimize the processing parameter which does not meet the request. The system includes fussy of the input and output data, fussy of the rule, confirming inference rules, and eliminating and compound of the conflict.