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Plastic injection molding is the most important one of the ways of the plastic molding is mainly used for forming various shapes , dimensional accuracy, to meet the various requirements of the molded article . Injection molding process , the diversity and the uncertainties presented by the wall thickness, flow length , the shape of the inconsistency , the plastic flow model and the physical mechanics model , makes it extremely difficult to find a generic parameter setting process . Humans have always spare no effort to use a variety of methods to explore the optimization process parameter settings , including numerical simulation, experimental optimization design , expert systems , case-based reasoning , neural networks , genetic algorithms, etc. . Unfortunately, most plastics technology division is still in test mode , the transfer mode using trial and error method to optimize the process parameters . Based on this situation , combined with case-based reasoning , artificial neural networks, fuzzy logic advantages , Huazhong University of Science and Technology of material forming mold State Key Laboratory Ningbo Pacific Machinery Manufacturing Co. , Ltd. to develop a new generation of intelligent injection molding machine , the realization of effective simulation of the craft workers tryout ideas for intelligent injection process parameters set and optimization . The author participated in the development process of the intelligent injection molding machine , and on this basis , the injection molding defect elimination open fuzzy inference model to solve the fuzzy inference \limitations of the model reference Matlab continuous domain of fuzzy reasoning model , industrial production is more commonly used discrete universe fuzzy reasoning model . Proven , the system achieved initial results , greatly reducing the number of trials to achieve intelligent optimization of the injection molding process parameters . Also a comprehensive exposition of the development process of injection molding CAE , pointed out that the development trend of the CAE , and briefed on the generation and application of the analysis module .
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