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Measurement-based two-layer optimization scheme for machining system with repetitive and batch characteristics

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Abstract

Most machining systems repeat predetermined tasks during machining. In most cases, the measurement of parts is carried out after the production of parts. However, in the actual production process, even if the system measurement is allowed or controllable in the whole production cycle, it often needs to pay more costs and the implementation is more complex. With the intention of improving the above characteristics of the industrial process with repeated batch processing and the optimization problem of the machining system that cannot be measured frequently, based on this, this paper proposes a measurement-based integrated two-level optimization strategy. In this two-layer strategy, the repeated update strategy is used to perform within-run correction to ensure the tracking accuracy and the cycle-to-cycle corrections are based on cycle-to-cycle control adaptive scheme to improve the optimization performance. The scheme combines real-time tracking and offline optimization, and the reactivity of the processing system is effectively improved. In order to make the two-layer optimization scheme more versatile, this paper introduces the periodic time-varying system and increases the flexibility of constraints and applies it to CNC cam grinding. Simulation and experiments verify the effectiveness and superiority of the scheme.

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Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

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Not applicable.

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Acknowledgements

This work is supported by the Ph.D. Programs Foundation of Henan Polytechnic University, The Intelligent Profile Error Compensation In High Speed & High Precision CNC Cam Grinding (B2018-660807/027) and the Key Scientific Research Projects on Institutions of Higher Education of Henan Province Research on Non-circular Profile Error Control Based Hybrid Driven Using Data-based and Model-based (22B413005).

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Authors and Affiliations

  1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, 454000, China

    Jing Wang, Jie Zhang & Fuwang Zhang

  2. School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, 130012, China

    Zhongbo Sun

  3. College of Communication Engineering, Jilin University, Changchun, 130012, China

    Zhen Sui & Yantao Tian

Authors
  1. Jing Wang
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  2. Jie Zhang
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  3. Fuwang Zhang
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  4. Zhongbo Sun
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  5. Zhen Sui
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  6. Yantao Tian
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Contributions

Jing Wang proposed this research and contributed to writing—original draft. Jie Zhang and Fuwang Zhang contributed to Cam grinding experiment. Zhongbo Sun reviewed and modified the study. Yantao Tian and Zhen Sui helped in acquisition and interpretation of data. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Zhongbo Sun.

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All data in this paper are obtained from CNC grinding experiments and do not involve human participants and/or animals.

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The authors declare no competing interests.

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Wang, J., Zhang, J., Zhang, F. et al. Measurement-based two-layer optimization scheme for machining system with repetitive and batch characteristics. Int J Adv Manuf Technol 121, 2553–2563 (2022). https://doi.org/10.1007/s00170-022-09460-1

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  • DOI: https://doi.org/10.1007/s00170-022-09460-1

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