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An optimization method of processing parameters of multi-pass CNC milling towards energy and carbon emission efficiency

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Abstract

In the real machining environment of CNC milling, there are often multi-pass (rough milling and fine milling combined) and related to each other in the process. Aiming at the existing optimization model of processing parameters which is only limited to single-step machining process, an optimization method of processing parameters of multi-pass CNC milling towards energy and carbon emission efficiency was proposed. Firstly, the process and dynamic characteristics of energy consumption and carbon emission in multi-pass CNC milling are described comprehensively and systematically. Based on this, with the goal of optimizing energy efficiency, carbon emission efficiency and cost efficiency, and with the combination of process parameters under variable process conditions as variables, the optimization model of multi-pass milling process parameters was established. An improved non-dominated sorting gravitational search algorithm was used to optimize the solution, and the analytic hierarchy process (AHP) was used to determine the optimal solution from the Pareto frontier solution set that meets the specific application scenarios. At last, an experiment case is performed to verify the effectiveness and practicality of the optimization model.

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Funding

This study is supported by the National Natural Science Foundation of China: Research on dynamic characteristics and deep level correlation mechanism of energy consumption in high-speed milling of titanium alloy complex surfaces (No.52205527), and research on dynamic control method of machining quality driven by digital twin processing model (No. 52075229); Moreover, this study is also supported by Natural Science Foundation of Jiangsu Province (General program): Dynamic characterization mechanism and joint optimization strategy of energy consumption characteristics in milling complex surface of titanium alloy (No.22KJB460018).

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Authors and Affiliations

  1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212100, China

    Yang Xie, Yiqun Dai, Honggen Zhou & Jinfeng Liu

  2. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Chaoyong Zhang

Authors
  1. Yang Xie
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  2. Yiqun Dai
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  3. Honggen Zhou
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  4. Jinfeng Liu
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Contributions

Yang Xie and Yiqun Dai conceived and designed the study, Honggen Zhou formed the experiments. Jinfeng Liu and Chaoyong Zhang analyzed the data. All authors read and approved the manuscript.

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Correspondence to Jinfeng Liu.

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Xie, Y., Dai, Y., Zhou, H. et al. An optimization method of processing parameters of multi-pass CNC milling towards energy and carbon emission efficiency. Int J Adv Manuf Technol 128, 4749–4761 (2023). https://doi.org/10.1007/s00170-023-12089-3

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  • DOI: https://doi.org/10.1007/s00170-023-12089-3

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