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Multi-objective Optimization of Surface Roughness and MRR in Surface Grinding of Hardened SKD11 Using Grey-Based Taguchi Method

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Advances in Engineering Research and Application (ICERA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 178))

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Abstract

The dressing plays an important role in wheel preparation in the grinding process. In this study, Grey Relational Analysis (GRA) based Taguchi method is applied to optimize the dressing parameters for minimizing the surface roughness and maximizing the material removal rate (MRR) in surface grinding of hardened SKD 11 steel. The Taguchi technique L16 is used to organize experiments that include six input parameters of the dressing process. There are two two-level parameters and four 4-level parameters including dressing feed rate, rough dressing depth, rough dressing times, fine dressing depth, fine dressing times, and non-feeding dressing. As shown in the result, the optimal dressing process for the minimum surface roughness and maximum MRR consists of 2 times of the rough dressing with a depth of 0.015 mm/stroke, a feed rate of 1.6 mm/min, 3 times non-feeding dressing, and no fine dressing was performed. Also, the dressing feed rate has the strongest impact on multiple performance characteristics (with 43.24% contribution), followed by the rough dressing depth (with 26.20% contribution). A verification experiment has demonstrated the appropriateness of the predictive model to the measurement data.

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Acknowledgements

This work was supported by Thai Nguyen University of Technology.

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Authors and Affiliations

  1. Center of Excellence for Automation and Precision Mechanical Engineering, Nguyen Tat Thanh University, Ho Chi Minh City, 700000, Vietnam

    Tran Thi Hong

  2. Thai Nguyen University of Technology, Thai Nguyen, 23000, Vietnam

    Do The Vinh, Tran Ngoc Giang, Nguyen Thanh Tu, Le Xuan Hung & Luu Anh Tung

  3. Faculty of Mechanical Engineering and Mechatronics, PHENIKAA University, Hanoi, 100000, Vietnam

    Tran Vinh Hung

  4. University of Transport and Communications, Hanoi, Vietnam

    Bui Thanh Danh

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  1. Tran Thi Hong
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  8. Luu Anh Tung
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Corresponding author

Correspondence to Luu Anh Tung .

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Editors and Affiliations

  1. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

  2. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  3. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  5. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

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Hong, T.T. et al. (2021). Multi-objective Optimization of Surface Roughness and MRR in Surface Grinding of Hardened SKD11 Using Grey-Based Taguchi Method. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_64

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64718-6

  • Online ISBN: 978-3-030-64719-3

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