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Application of the fuzzy-based Taguchi method for servo stamping curve

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Abstract

The appearance of the servo press in recent years has given manufacturers more stamping models to choose from. In sheet metal drawing, the servo motion curve is key to forming success. In this paper, we proposed the method by applying a fuzzy Taguchi method to achieve the robust multi-objective optimization of the servo press pulsating curve for rectangular cup drawing. We first used the stamping analysis software to perform the simulation analysis with various pulsating curve parameters, including press-in distance, press-in velocity, lifting distance, and lifting velocity. We conducted single-objective optimization using Taguchi’s smaller-the-better formula with thinning ratio, punch force, and drawing time as the quality objectives. Also, the influence of the four process parameters on the quality objectives and their mathematical relationships are confirmed using analysis of variance (ANOVA) and multiple regression analysis. Next, we used fuzzy logic inference to calculate the measuring index of the multiple performance characteristics index (MPCI) and then conducted an optimization analysis using Taguchi’s larger-the-better formula. From S/N ratios and the ANOVA results, the best combination of parameters and the contributions of each parameter was found. Finally, we verified the drawing process’s multi-objective servo motion curve parameters.

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Data availability

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

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Acknowledgements

This work was financially supported by the Frontier Mould and Die Research and Development Center from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.

Funding

This work was financially supported by the Frontier Mould and Die Research and Development Center from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.

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Authors and Affiliations

  1. Department of Mechatronics Engineering, National Kaohsiung University of Science and Technology (First Campus), Kaohsiung, Taiwan

    Kuo-Wang Liu & Chun-Chih Kuo

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  1. Kuo-Wang Liu
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  2. Chun-Chih Kuo
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Contributions

The authors’ contributions are as follows: all authors conceived and designed the study; Kuo-Wang Liu performed the theoretical deduction, performed the experiments and the finite element simulations, performed the process optimization and analysis; Chun-Chih Kuo contributed to the interpretation of the results; Chun-Chih Kuo and Kuo-Wang Liu contributed actively in writing the manuscript; all authors provided critical feedback and helped shape the research, analysis, and manuscript.

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Correspondence to Chun-Chih Kuo.

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Liu, KW., Kuo, CC. Application of the fuzzy-based Taguchi method for servo stamping curve. Int J Adv Manuf Technol 121, 7325–7339 (2022). https://doi.org/10.1007/s00170-022-09820-x

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