A Simulation-Data-Based Machine Learning Model for Predicting Basic Parameter Settings of the Plasticizing Process in Injection Molding

A Simulation-Data-Based Machine Learning Model for Predicting Basic Parameter Settings of the Plasticizing Process in Injection Molding

The optimal machine settings in polymer processing are usually the result of time-consuming and expensive trials. We present a workflow that allows the basic machine settings for the plasticizing process in injection molding to be determined with the help of a simulation-driven machine learning mode...

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Bibliographic Details
Main Authors: Matthias Schmid, Dominik Altmann, Georg Steinbichler
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Polymers
Subjects:
machine learning
multilayer perceptron
neural network
regression
plasticizing
polymers
Online Access:https://www.mdpi.com/2073-4360/13/16/2652

Internet

https://www.mdpi.com/2073-4360/13/16/2652

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