Transactions of Materials and Heat Treatment

Title：Optimization on injection process parameters based on an improved BP-NSGA Ⅱ algorithm

Authors： Cao Zhiyong Xing Junlong Xia Juchen Wang Xinyun

Unit： Huazhong University of Science and Technology Hubei University

KeyWords： injection process Pareto optimal solution orthogonal experiment BP neural network NSGAⅡ algorithm

ClassificationCode：TG309

year,vol(issue):pagenumber：2016,41(11):135-142

Abstract：

The goal of the optimization on injection molding process is to ensure both the quality and efficiency under remaining equipment and materials to achieve the ideal forming process. Firstly, the objective function with quality and efficiency was confirmed, then the integrated optimization model was constructed with multi-objective decision variables of mold temperature, melt temperature, packing pressure, dwell time and cooling time. Furthermore, the sample data of model were trained by the powerful non-linear interpolation and self-learning ability of BP network. In the end, the optimal injection designing process was obtained by combining the global and multi-objection optimization ability of the improved Non-dominated Sorting Genetic AlgorithmsⅡ.

Funds：

国家自然科学基金青年项目(51205144)

曹志勇(1972-)，男，博士研究生王新云（1973-），男，博士，教授

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