Optimization of process parameters of injection molding with neural network application in a process simulation environment

Abstract The process parameters of injection molding have been set by human operators based on their experience iteratively. Even with the sophisticated CAE software tools, at present time, the interpretation of the analysis results and the subsequent process parameter adjustment are being done based on the human expertise. A learning system has been developed to generate an optimum set of process parameters at the design stage with a minimum number of CAE simulation runs.