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The parameters optimization of robotic polishing with force controlled for mold steel based on Taguchi method

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Abstract

Aimed to explore the effect of robotic polishing parameters on workpiece machining quality and improve polishing efficiency, the polishing parameters of mold steel which contain polishing pressure, feed speed and rotational speed of tool are optimized. A robotic polishing platform with constant force control is constructed based on a six-axis industrial robot and an axial force position compensator. The key polishing parameters are determined based on the Preston equation. Taguchi orthogonal experiment is designed by L25 (5 × 3) orthogonal table. The contribution of each polishing parameter is found by variance analysis. The prediction model of surface roughness is established by regression analysis. As part of Taguchi method optimization, the polishing parameters are optimized by S/N ratio analysis. The result of the Taguchi orthogonal experiment shows that the rotational speed of tool has the greatest effect on the surface roughness and the contribution value is 50.22%. The optimal combination of polishing parameters (polishing pressure F = 50 N, rotational speed of tool n = 2500 r/min, feed speed v = 0.25 mm/s) is set as polishing parameters to polish the mold steel, which could effectively improve the surface quality of the mold steel, and the deviation between the actual value and the predicted value of surface roughness is just 5.66%. The result of the verification experiment shows that the setting of polishing parameters and level is feasible in Taguchi orthogonal experiment, and the optimal combination of polishing parameters obtained by Taguchi method is correct. Therefore, Taguchi method can optimize the robotic polishing parameters of mold steel quickly and effectively to improve the surface quality of mold steel.

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Acknowledgements

The authors would like to thank Laboratory of Robotics and Intelligent Systems (CASQuanzhou) for the experimental support. The authors would also like to acknowledge the editors and the anonymous referees for their insightful comments.

Funding

This work was funded by Laboratory of Robotics and Intelligent Systems (CASQuanzhou), Scientific and Technological Project of Quanzhou (No. 2022C004) and Scientific and Technological Project of Fujian Province (No. 2022L3094).

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, China

    Jun Li & Weilong Huang

  2. Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China

    Jun Li, Weilong Huang, Yinhui Xie, Jinxing Yang & Mingyang Zhao

  3. Fujian College, University of Chinese Academy of Sciences, Fuzhou, China

    Jun Li, Weilong Huang & Mingyang Zhao

Authors
  1. Jun Li
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  2. Weilong Huang
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  3. Yinhui Xie
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  4. Jinxing Yang
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  5. Mingyang Zhao
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Contributions

Jun Li involved in methodology, writing—review and editing and resources. Weilong Huang involved in experiment design, experiment operation and writing—original draft. Yinhui Xie involved in methodology, writing—review and editing and resources. Jinxing Yang involved in date curation and validation. Mingyang Zhao involved in experiment operation.

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Correspondence to Yinhui Xie.

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Technical Editor: Adriano Fagali de Souza.

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Li, J., Huang, W., Xie, Y. et al. The parameters optimization of robotic polishing with force controlled for mold steel based on Taguchi method. J Braz. Soc. Mech. Sci. Eng. 46, 313 (2024). https://doi.org/10.1007/s40430-024-04889-9

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  • DOI: https://doi.org/10.1007/s40430-024-04889-9

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