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Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem
Joint Authors
Zhao, Peng
Fu, Jianzhong
Zhang, Jianfeng
Dong, Zhengyang
Zhou, Hongwei
Zhang, Yi
Cao, Mingyi
Zhu, Zhou
Source
Advances in Polymer Technology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Product weight is one of the most important properties for an injection-molded part.
The determination of process parameters for obtaining an accurate weight is therefore essential.
This study proposed a new optimization strategy for the injection-molding process in which the parameter optimization problem is converted to a weight classification problem.
Injection-molded parts are produced under varying parameters and labeled as positive or negative compared with the standard weight, and the weight error of each sample is calculated.
A support vector classifier (SVC) method is applied to construct a classification hyperplane in which the weight error is supposed to be zero.
A particle swarm optimization (PSO) algorithm contributes to the tuning of the hyperparameters of the SVC model in order to minimize the error between the SVC prediction results and the experimental results.
The proposed method is verified to be highly accurate, and its average weight error is 0.0212%.
This method only requires a small amount of experiment samples and thus can reduce cost and time.
This method has the potential to be widely promoted in the optimization of injection-molding process parameters.
American Psychological Association (APA)
Zhao, Peng& Dong, Zhengyang& Zhang, Jianfeng& Zhang, Yi& Cao, Mingyi& Zhu, Zhou…[et al.]. 2020. Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem. Advances in Polymer Technology،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1130382
Modern Language Association (MLA)
Zhao, Peng…[et al.]. Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem. Advances in Polymer Technology No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1130382
American Medical Association (AMA)
Zhao, Peng& Dong, Zhengyang& Zhang, Jianfeng& Zhang, Yi& Cao, Mingyi& Zhu, Zhou…[et al.]. Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem. Advances in Polymer Technology. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1130382
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130382