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Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Author

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  • Yongmao Xiao

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
    Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, China)

  • Wei Yan

    (Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Ruping Wang

    (School of Management, China West Normal University, Nanchong 637002, China)

  • Zhigang Jiang

    (Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

  • Ying Liu

    (Institute of Mechanical and Manufacturing Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

Abstract

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

Suggested Citation

  • Yongmao Xiao & Wei Yan & Ruping Wang & Zhigang Jiang & Ying Liu, 2021. "Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1929-:d:497484
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    References listed on IDEAS

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