LAPSE:2019.1612
Published Article
LAPSE:2019.1612
Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model
Yongmao Xiao, Qingshan Gong, Xiaowu Chen
December 16, 2019
The blank’s dimensions are an important focus of blank design as they largely determine the energy consumption and cost of manufacturing and further processing the blank. To achieve energy saving and low cost during the optimization of blank dimensions design, we established energy consumption and cost objectives in the manufacturing and further processing of blanks by optimizing the parameters. As objectives, we selected the blank’s production and further processing parameters as optimization variables to minimize energy consumption and cost, then set up a multi-objective optimization model. The optimal blank dimension was back calculated using the parameters of the minimum processing energy consumption and minimum cost state, and the model was optimized using the non-dominated genetic algorithm-II (NSGA-II). The effect of designing blank dimension in saving energy and costs is obvious compared with the existing methods.
Keywords
blank dimension design, energy saving, low cost, processing parameters
Suggested Citation
Xiao Y, Gong Q, Chen X. Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model. (2019). LAPSE:2019.1612
Author Affiliations
Xiao Y: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 55800, China; Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, China
Gong Q: Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, China
Chen X: 3D Printing and Intelligent Manufacturing Engineering Institute, Wuhan University of Science and Technology, Wuhan 430081, China
Journal Name
Processes
Volume
7
Issue
11
Article Number
E811
Year
2019
Publication Date
2019-11-04
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7110811, Publication Type: Journal Article
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LAPSE:2019.1612
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doi:10.3390/pr7110811
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Dec 16, 2019
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CC BY 4.0
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[v1] (Original Submission)
Dec 16, 2019
 
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Dec 16, 2019
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Original Submitter
Calvin Tsay
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