Modeling of Electric Servo Injection Molding Machine Based on Gray Box Model

Abstract

This study focuses on the development of a simulation model for an electric servo injection molding machine. Plastic products have become indispensable in a wide variety of fields due to their light weight, durability, formability, and insulation properties. Injection molding, an important process in its production, enables highly efficient mass production and high-precision shape molding. However, it faces challenges such as dependence on skilled engineers, variation in molding quality due to trial and error in the prototype stage, and waste of resources. To address these issues, this study employed a gray-box modeling approach that utilizes actual equipment data. In this study, we focused on injection equipment and built a base model to reproduce the molding process using Simscape (MATLAB). Parameters were then adjusted through Bayesian optimization to improve simulation accuracy. Initial results confirmed the validity of the model, and subsequent adjustments have significantly improved the correlation between simulation output and actual equipment data. The results of this research show the potential to contribute to efficient optimization of molding conditions, reduction of waste in the prototype stage, and improvement of operational efficiency.