The selection of the optimal design parameters applied to the gas-assisted injection mould of an L-shape plates design

This study examined the finite element and abductive network method applied to thegas-assisted injection mould (GAIM). From these models, the effect of the GAIM condition includes the melt formation by percent volume filled, the base-plane thickness, and the ratio of L-shape plane thickness. The L-shape plane can reduce by about 50 per cent the expense of materials, reduce the injection cycle time, and increase the L-shape structure. In order to select the optimal design parameters to minimize the warp of a GAIM, the experimental design method and abductive network were used. These methods were applied to create an efficient model with functional nodes. Once the GAIM parameters were developed, this network was used to predict GAIM warp accurately. A simulated annealing (SA) optimization algorithm with a performance index was then applied to the neural network for searching the optimal GAIM parameters, obtaining a more satisfactory result compared to the corresponding finite element verification.