Multiobjective Robust Design and Optimum Algorithm in Injection Molding Processing

Abstract:

Based on the single objective robust design of injection molding process,the paper presents the biobjective robust design model based on the mean and standard deviation of the molding quality, the multiobjective robust design model with the multi quality features and the multiobjective ant colonies algorithm with crossover and mutation based on Pareto optimization.Aimed at the craft parameters of plastic injection for the top and down shell of remote controller, both the model of biobjective robust design based on the mean and standard deviation of warpage quantity, and the model of multiobjective robust design based on the maximum warpage quantity and the maximum volume shrinkage are established with an example.With the multiobjective ant colonies algorithm of crossover and mutation, the models are solved. The result shows that the partial performance of algorithm is superior to that of nondominated sorting genetic algorithms Ⅱ （NSGAⅡ）.The actual plastic injection was done by means of the parameters obtained by multi objections robust optimization. The quality of plastic parts was high, and the fluctuation was small.