Open AccessOverview of injection molding process optimization technology
Author(s) -
Jie Zhu,
Zhiwen Qiu,
Yizhi Huang,
Weixin Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1798/1/012042
Subject(s) - molding (decorative) , taguchi methods , artificial neural network , process (computing) , process optimization , computer science , genetic algorithm , process engineering , engineering , mechanical engineering , artificial intelligence , machine learning , environmental engineering , operating system
Injection molding process parameters have a very important influence on the molding quality of plastic parts. In this paper, the application of injection molding parameter optimization technology in the study of injection molding process is reviewed. The basic principles and characteristics of various optimization techniques are described. Optimization techniques mainly include: Optimization based on Taguchi method, Optimization of numerical simulation based on CAE technology, Optimization based on genetic algorithm, Optimization based on artificial neural network. The application types of optimization problems applicable to various optimization techniques are discussed.