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An estimation methodology of energy consumption for the intelligent CNC machining using STEP-NC

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Abstract

With the in-depth integration of intelligent manufacturing and energy-efficient manufacturing, energy consumption should be taken as an important indicator to meet the development philosophy of low-carbon manufacturing while continuously pursuing manufacturing efficiency. The intelligent estimation of energy consumption for machined parts is the basis for establishing an energy-efficient intelligent manufacturing system. STEP-NC is one of the practical schemas to implement an intelligent manufacturing mode in the CNC machining field. Hence, this paper proposed an estimation methodology of energy consumption based on the STEP-NC program to realize the estimation of the staged and overall energy consumption for parts. Firstly, the influencing factors of energy consumption are analyzed in detail and the data model of energy consumption is extended to the STEP-NC standard accordingly. Secondly, the energy consumption estimation methodology based on the machining feature was constructed, and the mapping relationship between STEP-NC program and the estimation method was established. Finally, the energy consumption estimation framework with the STEP-NC program as input is developed while the validity of the methodology is verified by practical machining experiments. By comprehensive analysis, the methodology shows promising results in efficiency and application prospect, which lays a foundation for further intelligent energy-efficient research.

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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.

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Authors and Affiliations

  1. School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China

    Kang Cheng, Gang Zhao, Wei Wang & Yazui Liu

  2. MIIT Key Laboratory of Aeronautics Intelligent Manufacturing, Beihang University, Beijing, 100191, China

    Gang Zhao & Wei Wang

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  1. Kang Cheng
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  2. Gang Zhao
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  4. Yazui Liu
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Contributions

Kang Cheng: writing, original draft preparation, software, validation. Gang Zhao: supervision, methodology, reviewing. Wei Wang: methodology, reviewing, editing. Yazui Liu: structure, reviewing, editing.

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Correspondence to Wei Wang.

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Cheng, K., Zhao, G., Wang, W. et al. An estimation methodology of energy consumption for the intelligent CNC machining using STEP-NC. Int J Adv Manuf Technol 123, 627–644 (2022). https://doi.org/10.1007/s00170-022-10194-3

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  • DOI: https://doi.org/10.1007/s00170-022-10194-3

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