Intelligent recommendation system of the injection molding process parameters based on CAE simulation, process window, and machine learning
Yitao Ma,
Xinming Wang,
Kaifang Dang
et al.
Abstract:In this research, a recommendation system was designed for optimizing the injection molding process parameters. The system incorporates the utilization of process windows, XGBoost, and genetic algorithms. CAE simulations were conducted to generate process window data and simulation data. Automatic hyperparameter optimization of the XGBoost was performed using grid search and cross-validation methods. The system employs 5 injection molding feature parameters as input and one product feature as output, and SEGA … Show more
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