Machine Learning-Based Process Control for Injection Molding of Recycled Polypropylene.

The different datasets also did not seem to provide a clear trend for the ANN, as using the APV data proved advantageous for the modulus and ultimate elongation models, and the MFR data proved more accurate for the part weight and yield stress models.

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