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CLC number: TP277

On-line Access: 2012-05-04

Received: 2011-11-02

Revision Accepted: 2012-01-04

Crosschecked: 2012-04-05

Cited: 15

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Journal of Zhejiang University SCIENCE A 2012 Vol.13 No.5 P.382-394

http://doi.org/10.1631/jzus.A1100250


Multi-objective process parameter optimization for energy saving in injection molding process


Author(s):  Ning-yun Lu, Gui-xia Gong, Yi Yang, Jian-hua Lu

Affiliation(s):  College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; more

Corresponding email(s):   luningyun@nuaa.edu.cn

Key Words:  Injection molding process, Energy saving, Multi-objective optimization, Genetic algorithm, Lexicographic method


Ning-yun Lu, Gui-xia Gong, Yi Yang, Jian-hua Lu. Multi-objective process parameter optimization for energy saving in injection molding process[J]. Journal of Zhejiang University Science A, 2012, 13(5): 382-394.

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DOI - 10.1631/jzus.A1100250


Abstract: 
This paper deals with a multi-objective parameter optimization framework for energy saving in injection molding process. It combines an experimental design by Taguchi’s method, a process analysis by analysis of variance (ANOVA), a process modeling algorithm by artificial neural network (ANN), and a multi-objective parameter optimization algorithm by genetic algorithm (GA)-based lexicographic method. Local and global Pareto analyses show the trade-off between product quality and energy consumption. The implementation of the proposed framework can reduce the energy consumption significantly in laboratory scale tests, and at the same time, the product quality can meet the pre-determined requirements.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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