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A multi-objective modeling and optimization method for high efficiency, low energy, and economy

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Abstract

With the development of society, the world’s energy problems are becoming increasingly severe, and reducing energy consumption in manufacturing and improving energy efficiency in machining have become meaningful ways to reduce the energy burden. In view of the problems of high energy consumption, low time efficiency, and high economic cost in the grinding process of machining, we propose a method to evaluate the interrelationship between grinding time, grinding energy efficiency, and grinding cost comprehensively in the grinding process, the “3E” layer (efficiency layer, energy layer and economic layer), and establish a 3E multi-layer multi-objective optimization model from the perspective of energy, efficiency, and economy. The 3E multi-layer multi-objective optimization model is established by combining the grinding process with the Pareto optimal solution, and the improved fast non-dominated sequencing genetic algorithm (NSGA-II) is to carry out the optimization solution. The optimized grinding process parameters reduce the grinding time by 16.01%, improve the grinding energy efficiency by 21.95%, and reduce the grinding cost by 15.71% compared with the conventional machining scheme. The results demonstrate the effectiveness of the 3E model and solution method.

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Funding

This work was supported by the Scientific Research Project of Education Department of Hunan Province of China [grant number 22B0483, 20A201, 20A180], the National Natural Science Foundation of China [grant number U1809221], and the Open Fund of Hunan Provincial Key Laboratory of High Efficient and Precision Machining of Difficult-to-Cut Materials [grant number E22316].

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Wenxiang Jiang, Lishu Lv, Yao Xiao, Xiaojing Fu & Wenhui Yue

  2. Hunan Provincial Key Laboratory of High Efficient and Precision Machining of Difficult-to-Cut Materials, Hunan University of Science and Technology, Xiangtan, 411201, China

    Lishu Lv & Wenhui Yue

  3. Institute of Manufacturing Engineering, Huaqiao University, Xiamen, 361021, China

    Zhaohui Deng

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  1. Wenxiang Jiang
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  2. Lishu Lv
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  3. Yao Xiao
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  4. Xiaojing Fu
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  5. Zhaohui Deng
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  6. Wenhui Yue
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All authors contributed to the work and preparation of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Lishu Lv.

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Jiang, W., Lv, L., Xiao, Y. et al. A multi-objective modeling and optimization method for high efficiency, low energy, and economy. Int J Adv Manuf Technol 128, 2483–2498 (2023). https://doi.org/10.1007/s00170-023-12088-4

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  • DOI: https://doi.org/10.1007/s00170-023-12088-4

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