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Towards greener machine tools – A review on energy saving strategies and technologies

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  • Yoon, Hae-Sung
  • Kim, Eun-Seob
  • Kim, Min-Soo
  • Lee, Jang-Yeob
  • Lee, Gyu-Bong
  • Ahn, Sung-Hoon

Abstract

The imbalance between energy supply and demand is expected to keep increasing, with the manufacturing sector being responsible for about one-third of world energy consumption. Hence, concerns about energy-efficient and environmentally benign manufacturing process have become an emerging issue. This paper suggests a novel hierarchy of energy saving technologies for machine tools, mainly for machining. Cutting is a widely used traditional process, and accounts for a large portion of energy consumption in machine tool sectors. A novel hierarchy is suggested, from the perspective of a single device manager, in accordance with the level of application. Technologies and strategies were compiled from research project reports, journal and conference articles, energy policies, etc. They were then rearranged in respective levels in the suggested hierarchy. Theories and technologies in the assessment and modeling of energy characteristics were reviewed, and general strategies on micro process planning were discussed at the software-based optimization level. Then, technologies for control and cutting improvement, such as novel lubrication and assisted machining systems, were introduced, and their effects were presented. Finally, improvement of hardware components and design rules for the environment were reviewed. Future market demands have clearly drawn more attention to energy efficiency, and the energy consumption of machine tools should be more accurately modeled and controlled. Loss and unnecessary operation of partial components should be minimized. From the perspective of energy efficiency, machine tools are expected to become more compact and lightweight. Operators and manufacturers need to understand both the process and hardware for greener machine tools.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:48:y:2015:i:c:p:870-891
    DOI: 10.1016/j.rser.2015.03.100
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    2. Khan, A.M. & Liang, L. & Mia, M. & Gupta, M.K. & Wei, Z. & Jamil, M. & Ning, H., 2021. "Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    3. 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).
    4. Tuo, Junbo & Liu, Fei & Liu, Peiji & Zhang, Hua & Cai, Wei, 2018. "Energy efficiency evaluation for machining systems through virtual part," Energy, Elsevier, vol. 159(C), pages 172-183.
    5. Cai, Wei & Liu, Fei & Xie, Jun & Liu, Peiji & Tuo, Junbo, 2017. "A tool for assessing the energy demand and efficiency of machining systems: Energy benchmarking," Energy, Elsevier, vol. 138(C), pages 332-347.
    6. Cai, Wei & Liu, Fei & Zhang, Hua & Liu, Peiji & Tuo, Junbo, 2017. "Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement," Applied Energy, Elsevier, vol. 202(C), pages 715-725.
    7. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Liu, Menghe, 2017. "Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application," Applied Energy, Elsevier, vol. 194(C), pages 635-647.
    8. Liu, Peiji & Liu, Fei & Qiu, Hang, 2017. "A novel approach for acquiring the real-time energy efficiency of machine tools," Energy, Elsevier, vol. 121(C), pages 524-532.
    9. Cai, Wei & Wang, Lianguo & Li, Li & Xie, Jun & Jia, Shun & Zhang, Xugang & Jiang, Zhigang & Lai, Kee-hung, 2022. "A review on methods of energy performance improvement towards sustainable manufacturing from perspectives of energy monitoring, evaluation, optimization and benchmarking," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    10. 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).
    11. Chaoyang Zhang & Pingyu Jiang, 2019. "Sustainability Evaluation of Process Planning for Single CNC Machine Tool under the Consideration of Energy-Efficient Control Strategies Using Random Forests," Sustainability, MDPI, vol. 11(11), pages 1-18, May.
    12. Xiao, Qinge & Li, Congbo & Tang, Ying & Pan, Jian & Yu, Jun & Chen, Xingzheng, 2019. "Multi-component energy modeling and optimization for sustainable dry gear hobbing," Energy, Elsevier, vol. 187(C).
    13. Benjie Li & Hualin Zheng & Xiao Yang & Liang Guo & Binglin Li, 2020. "Energy Optimization for Motorized Spindle System of Machine Tools under Minimum Thermal Effects and Maximum Productivity Constraints," Energies, MDPI, vol. 13(22), pages 1-17, November.

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