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Robotic abrasive belt grinding with consistent quality under normal force variations

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Abstract

The grinding of blades for aeroengines under constant normal contact force is challenging. The surface roughness (Ra) and profile dimensional accuracy of the blades have notable influence on the overall performance and service life of aeroengines. This study aimed to minimize the influence of the changes in the normal contact force on Ra and the uniformity of material removal depth (MRD) in the cut-in/cut-off stage of robotic abrasive belt grinding and in the parts that undergo large changes in curvature. First, we established models for predicting Ra and MRD using orthogonal central composite design theory and a broad learning system algorithm. Second, by combining the established predictive model and applying the sensor-measured grinding force, we established a multiple learning backtracking search algorithm to derive the adaptive process parameters for the optimization objective function. Finally, the grinding quality was experimentally evaluated using the obtained process parameters, and the maximum errors between the test values and model-predicted values of Ra and MRD were 14.2% and 13.4%, respectively. The test results indicated that the method proposed in this article may be effective for achieving consistent Ra and MRD, which can considerably improve the quality of blade grinding.

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The data supporting the findings of this study are available within the paper.

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Funding

This study was supported by the Guangdong Province Key Field Research Program (Grant No. 2020B090919001) and the Science and Technology Key Projects in the Industrial Field of Foshan (Grant No.2020001006282).

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Authors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Geng Chen, Jianzhong Yang, Hua Xiang & Hua Liu

  2. Foshan Institute of Intelligent Equipment Technology, Foshan, 528200, China

    Geng Chen

  3. School of Information Engineering, Nanchang University, Nanchang, 330031, China

    Kaiwen Yao

Authors
  1. Geng Chen
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  2. Jianzhong Yang
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  3. Kaiwen Yao
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  4. Hua Xiang
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  5. Hua Liu
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Contributions

Geng Chen and Kaiwen Yao were responsible for planning this study, experimental work, and authoring this manuscript. Jiangzhong Yang and Hua Xiang were involved in the discussion and significantly contributed to preparing the final draft of the article. All the authors have read and approved the final version of the manuscript.

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Correspondence to Hua Xiang.

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Chen, G., Yang, J., Yao, K. et al. Robotic abrasive belt grinding with consistent quality under normal force variations. Int J Adv Manuf Technol 125, 3539–3549 (2023). https://doi.org/10.1007/s00170-023-10940-1

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  • DOI: https://doi.org/10.1007/s00170-023-10940-1

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