Multi-objective optimization method for injection molding process parameters of glass fiber reinforced plastics
A multi-objective optimization and process parameter technology, which is applied in the field of multi-objective optimization of glass fiber reinforced plastic injection molding process parameters and injection process parameter optimization to achieve the effect of satisfying dimensional accuracy and reducing warpage and volume shrinkage.
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[0062] This multi-objective optimization method for glass fiber reinforced plastic injection molding process parameters aims at the two-objective optimization problem of warpage and volume shrinkage of glass fiber reinforced plastic plastic parts. sample points with a reasonable distribution, and simulated by Moldflow software to obtain the warpage value and volume shrinkage rate of each sample point; then based on the sample results obtained by Latin Hypercube Sampling (LHS), the extreme learning machine model based on genetic algorithm is used (GA-ELM) to establish a nonlinear mathematical model between process parameters and quality objectives; then use the multi-objective firefly algorithm (MOFA) to optimize the two-objective problem; And the GRA-TOPSIS method of Gray Relational Analysis (GRA) evaluates to obtain the optimal scheme and the corresponding optimal injection molding process parameters.
[0063] Hereinafter, the present invention will be specifically described ...
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