Abstract
Taking the process parameters and quality index data obtained from the optimal Latin hypercube test of a front hood inner panel as sample data, this paper constructs an EBFNN approximate model by combining the NSGA-II multi-objective optimization algorithm to perform multi-objective optimization of injection molding process parameters, obtained Pareto solution set for volume shrinkage and warp during ejection. Comparing the Moldflow numerical simulation results of the four relatively optimized Pareto solutions, the optimal combination of process parameters is obtained. The optimized volume shrinkage and warp deformation reduced by 50.518% and 39.845% respectively, which verified the reliability and practicability of this method, and had certain practical reference significance for the optimization of injection molding process of other plastic parts.
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