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Energy saving and high efficiency production oriented forward-and-reverse multidirectional turning: Energy modeling and application

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Listed:
  • Cai, Wei
  • Li, Yanqi
  • Li, Li
  • Lai, Kee-hung
  • Jia, Shun
  • Xie, Jun
  • Zhang, Yuanhui
  • Hu, Luoke

Abstract

The energy modeling has been recognized as an effective analytical methodology and management tool that helps to predict the energy consumption and to manage the efficiency and performance of energy utilization. With a wide distribution and large amount of energy consumption at a low efficiency, the mechanical manufacturing industry has considerable energy saving potential. In this study, a new method of energy conservation and high efficiency production oriented multidirectional turning is proposed to overcome the performance deficiencies of traditional turning in the mechanical manufacturing industry. Based on energy and production performance analysis, the energy consumption model of the forward-and-reverse multidirectional turning is established through the process stage-oriented modeling method. Besides, the case study indicates the high (more than 97%) accuracy of the proposed energy consumption model for forward-and-reverse multidirectional turning. This study contributes to a new production method and energy models to reduce energy consumption and improve production efficiency.

Suggested Citation

  • Cai, Wei & Li, Yanqi & Li, Li & Lai, Kee-hung & Jia, Shun & Xie, Jun & Zhang, Yuanhui & Hu, Luoke, 2022. "Energy saving and high efficiency production oriented forward-and-reverse multidirectional turning: Energy modeling and application," Energy, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222008842
    DOI: 10.1016/j.energy.2022.123981
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    1. Kousksou, T. & Allouhi, A. & Belattar, M. & Jamil, A. & El Rhafiki, T. & Zeraouli, Y., 2015. "Morocco's strategy for energy security and low-carbon growth," Energy, Elsevier, vol. 84(C), pages 98-105.
    2. Yoon, Hae-Sung & Kim, Eun-Seob & Kim, Min-Soo & Lee, Jang-Yeob & Lee, Gyu-Bong & Ahn, Sung-Hoon, 2015. "Towards greener machine tools – A review on energy saving strategies and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 870-891.
    3. Xiao, Qinge & Li, Congbo & Tang, Ying & Li, Lingling & Li, Li, 2019. "A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning," Energy, Elsevier, vol. 166(C), pages 142-156.
    4. Elmar Zozmann & Leonard Göke & Mario Kendziorski & Citlali Rodriguez del Angel & Christian von Hirschhausen & Johanna Winkler, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," Energies, MDPI, vol. 14(3), pages 1-17, January.
    5. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    6. Schudeleit, Timo & Züst, Simon & Weiss, Lukas & Wegener, Konrad, 2016. "The Total Energy Efficiency Index for machine tools," Energy, Elsevier, vol. 102(C), pages 682-693.
    7. Zhao, G.Y. & Liu, Z.Y. & He, Y. & Cao, H.J. & Guo, Y.B., 2017. "Energy consumption in machining: Classification, prediction, and reduction strategy," Energy, Elsevier, vol. 133(C), pages 142-157.
    8. Shang, Zhendong & Gao, Dong & Jiang, Zhipeng & Lu, Yong, 2019. "Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies," Energy, Elsevier, vol. 178(C), pages 263-276.
    9. Romanova, Tatiana, 2021. "Russia's political discourse on the EU’s energy transition (2014–2019) and its effect on EU-Russia energy relations," Energy Policy, Elsevier, vol. 154(C).
    10. Cai, Wei & Lai, Kee-hung, 2021. "Sustainability assessment of mechanical manufacturing systems in the industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. Hu, Luoke & Liu, Ying & Lohse, Niels & Tang, Renzhong & Lv, Jingxiang & Peng, Chen & Evans, Steve, 2017. "Sequencing the features to minimise the non-cutting energy consumption in machining considering the change of spindle rotation speed," Energy, Elsevier, vol. 139(C), pages 935-946.
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    Cited by:

    1. Zhang, Yuanhui & Cai, Wei & He, Yan & Peng, Tao & Jia, Shun & Lai, Kee-hung & Li, Li, 2022. "Forward-and-reverse multidirectional turning: A novel material removal approach for improving energy efficiency, processing efficiency and quality," Energy, Elsevier, vol. 260(C).
    2. Li, Yanqi & Chen, Junming & Wang, Yu & Li, Shunjiang & Duan, Xiangmin & Jiang, Zhigang & Lai, Kee-hung & Cai, Wei, 2024. "Multi-objective modeling and evaluation for energy saving and high efficiency production oriented multidirectional turning considering energy, efficiency, economy and quality," Energy, Elsevier, vol. 294(C).
    3. Zhang, Jiaqi & Han, Xin & Li, Li & Jia, Shun & Jiang, Zhigang & Duan, Xiangmin & Lai, Kee-hung & Cai, Wei, 2023. "Multi-objective optimisation for energy saving and high efficiency production oriented multidirectional turning based on improved fireworks algorithm considering energy, efficiency and quality," Energy, Elsevier, vol. 284(C).

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