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A milling cutting tool selection method for machining features considering energy consumption in the STEP-NC framework

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Abstract

The application of the STEP-NC standard boosts the CNC machining industry towards integration plus automation. Cutting tool selection, considered as a primary task in the machining process, is generally carried out by the experience of the technologist, which cannot fit the highly integrated and automated STEP-NC environment. Therefore, a model-based cutting tool selection method is proposed in this paper. Energy consumption is introduced as an evaluation factor for the model of the cutting tool selection and the model’s data structure compatible with STEP-NC is established. The proposed model formulates the relationship between the cutting tool plus the related parameters and the energy consumption to provide a reliable evaluation criterion for the cutting tool selection. A genetic algorithm is used to guarantee that an optimized solution can be reached in the selection model conforming to STEP-NC standard, thus the information in the selection process can be recorded structurally to sound for further use. The actual cutting experiments of typical parts as case studies were tested to validate the effectiveness and feasibility of this cutting tool selection method.

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All data generated or analyzed during this study are included in this published article and available at the corresponding author.

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Acknowledgements

The author would like to thank the Intelligent Computing for Aerospace Technology Laboratory.

Funding

This work was supported by the National Natural Science Foundation of China [61972011] and [5217053342].The National Natural Science Foundation of China [62102011] also supported the article.

Author information

Authors and Affiliations

  1. School of Mechanical Engineering & Automation, Beihang University, 100191, Bei**g, China

    Gang Zhao, Kang Cheng, Wei Wang & Yazui Liu

  2. MIIT Key Laboratory of Aeronautics Intelligent Manufacturing, Beihang University, 100191, Bei**g, China

    Gang Zhao & Wei Wang

  3. Shanghai Aerospace System Engineering Institute, Shanghai, China

    Zhihua Dan

Authors
  1. Gang Zhao
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  2. Kang Cheng
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  3. Wei Wang
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  4. Yazui Liu
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  5. Zhihua Dan
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Contributions

Gang Zhao: supervision, methodology, reviewing. Kang Cheng: writing, original draft preparation, software development, validation, cutting experiments. Wei Wang: methodology, reviewing, editing. Yazui Liu: structure, reviewing, editing. Zhihua Dan: data processing.

Corresponding author

Correspondence to Wei Wang.

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Appendix

Appendix

1.1 EXPRESS-G figures

Figures A1, A2, and A3

Fig. A1
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The entity machining_energy and its attributes

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Fig. A2
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Data models for energy consumption

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Fig. A3
figure 14

The customized entity machining_energy attaches to machining_workingstep

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Zhao, G., Cheng, K., Wang, W. et al. A milling cutting tool selection method for machining features considering energy consumption in the STEP-NC framework. Int J Adv Manuf Technol 120, 3963–3981 (2022). https://doi.org/10.1007/s00170-022-08964-0

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  • DOI: https://doi.org/10.1007/s00170-022-08964-0

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