Open AccessReview of research in the determination of process parameters for plastic injection molding
Author(s) -
Mok S. L.,
Kwong C. K.,
Lau W. S.
Publication year - 1999
Publication title -
advances in polymer technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.523
H-Index - 44
eISSN - 1098-2329
pISSN - 0730-6679
DOI - 10.1002/(sici)1098-2329(199923)18:3<225::aid-adv3>3.0.co;2-3
Subject(s) - molding (decorative) , materials science , artificial neural network , process (computing) , injection molding machine , domain (mathematical analysis) , computer science , mechanical engineering , process engineering , artificial intelligence , composite material , mathematics , engineering , mathematical analysis , operating system , mold
This article aims to review the research in determining process parameters of injection molding. A number of research works based on various approaches have been performed in the domain of the parameter setting for injection molding. These approaches, including mathematical models, numerical simulation, process windows, design of experiment (DOE), expert systems, Artificial Neural Networks (ANN), Case Based Reasoning (CBR), Genetic Algorithms (GA), and evolutionary strategies, are described in this article. The strength and the weakness of individual approaches are discussed. It is then followed by conclusions and discussions of the potential research in determining process parameters for injection molding. © 1999 John Wiley & Sons, Inc. Adv Polym Techn 18: 225–236, 1999