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Energy saving design of the spindle of CNC lathe by structural optimization

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Abstract

To fundamentally improve the energy efficiency of computer numerical control (CNC) machine tools, it is essential to study the energy saving in the design stage. The spindle system is one of the most important energy consumers of CNC lathe, and the optimization design for spindle is considered an effective energy saving strategy. However, little research has focused on this issue, and most previous optimization design methods aimed at improving the machining performance such as deformation and vibration. Since previous studies paid little attention to energy saving design, we attempt to consider the energy consumption in the spindle design stage. First, the energy consumption function of the spindle is built, and the optimization objectives are selected. The structure parameters that significantly affect the optimization objectives are determined as the design variables. Then, on the basis of the effective fitting method and dimensionality reduction, a comprehensive objective is defined. Finally, the biogeography-based optimization (BBO) algorithm is adopted to optimize the proposed model. The results indicate that the proposed method can reduce the energy consumption and improve the static and dynamic performance. The impact of the design variables on the objectives is discussed, which provides the guidance for the spindle optimization design.

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Funding

This work was supported in part by the National Major Scientific and Technological Special Project (No. 2019ZX04005-001), the National Natural Science Foundation of China (No. 51975075) and the Chongqing Technology Innovation and Application Program (No. cstc2020jscx-msxmX0221).

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Authors and Affiliations

  1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China

    Yan Lv, Congbo Li, Jixiang He & Juan Li

  2. School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, BT9 5AH, UK

    Yan Jin

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  1. Yan Lv
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  2. Congbo Li
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  3. Yan Jin
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  4. Jixiang He
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  5. Juan Li
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Contributions

Yan Lv and Congbo Li designed the work, performed the research, and analyzed the data. Yan Lv, Congbo Li, and Yan Jin discussed the results and wrote the manuscript. All authors contributed to drafting and revising the manuscript.

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Correspondence to Congbo Li.

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Lv, Y., Li, C., Jin, Y. et al. Energy saving design of the spindle of CNC lathe by structural optimization. Int J Adv Manuf Technol 114, 541–562 (2021). https://doi.org/10.1007/s00170-021-06758-4

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