Gong-Loung Fu

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Determining optimal process parameter settings critically influences productivity, quality, and cost of production in the plastic injection molding (PIM) industry. Previously, production engineers used either trial-and-error method or Taguchi’s parameter design method to determine optimal process parameter settings for PIM. However, these methods are(More)
In this research, Taguchi method, back-propagation neural networks (BPNN), and genetic algorithms (GA) are applied to the problem of process parameter settings for multiple-input single-output (MISO) plastic injection molding. Taguchi method is adopted to arrange the number of experimental runs. Injection time, velocity pressure switch position, packing(More)
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