| Summary: | 碩士 === 國立臺灣科技大學 === 機械工程系 === 94 === Gate location has the direct effect on the melt flow direction and balance,and improper design will produce inevitable defects.Therefore, the gate location with flow balance is one of the important key points of mold design of plastic injection molding. This study adopts flow resistance concept in the light of different geometric shape, mesh size, materials (ABS+PC, PP, HDPE) to explore the optimal gate location to reach the filling process with the flow balance. The results show that the optimal gate location is able to effectively improve the over-packing, high wall shear stress and disproportionate temperature distribution which will influence plastic part quality. After the optimal gate location being obtained, one case was further studied by using Taguchi method, genetic algorithm, simulated annealing method, artificial neural network and response surface method, with single or hybrid mode to find the optimal molding parameter setting such as mold temperature, melt temperature, injection time, packing time and packing pressure. It is revealed that the optimal method is able to effectively reduce plastic part warpage. Taguchi method can achieve satisfactory result with small relatively amount of simulations. The genetic algorithm and simulated annealing method couples with artificial neural network or response surface method have the advantage to tune the processing parameters,and to promote product quality.
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