Multi-objective Optimizations of Shelf Injection Molding Process Parameters based on the Grey Correlation-Entropy Weight Method
Taking the spinning bike shelf as the research object,the optimization analysis of multi-objective process parameters of plastic parts was carried out.Through the preliminary mold flow analysis,the estimation of sink marks,the shrink mark index and the volume shrinkage at ejection were determined as the optimization goals,and the orthogonal test of five factors and five levels was established by Minitab software based on the Taguchi method,and the simulation was simulated by Moldflow software.The obtained experimental data were processed by the signal-to-noise ratio,the weights of each optimization index were calculated by the entropy weight method,and the gray correlation degree was finally obtained,which realized the optimization of multi-objective process parameters.The optimal combination of process parameters is shown as follows:the mold temperature is 65 ℃,the melt temperature is adjusted to 240 ℃,the injection time is shortened to 0.2 s,the holding pressure time is extended to 11 s,and the holding pressure is set to 80 MPa.After the simulation analysis of this combination of optimization parameters,a significant improvement effect was obtained.The results show that the maximum value of the estimated sink mark is reduced to 0.054 8 mm,which is 41.949％lower than that of the original parameters.The maximum value of the sink mark index decreases to 3.510％,exhibiting a percent point decrease of 1.531.At the same time,the maximum volume shrinkage at ejection is also significantly reduced to 5.413％,exhibiting a percent point decrease of 1.542.
万方数据
维普
