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A Study on Optimization of Surface Roughness in Surface Grinding 9CrSi Tool Steel by Using Taguchi Method

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Advances in Engineering Research and Application (ICERA 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 63))

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Abstract

In this study, the Taguchi method was utilized to find the optional surface roughness in fine surface grinding of 9CrSi annealing tool steel using Hai Duong grinding wheels. Minitab 17 software was used to determine the number of experiments L16 of the Taguchi method including five cutting parameter factors namely cooling concentration (CC), cooling flow (F), cross feed (CF), table speed (Vw), and depth of cut (DOC). From the analysis results of a Signal to Noise ratio (S/N), the optimum process parameters for minimum surface roughness were proposed. In addition, it was found that the factor having the largest effect on surface roughness is the coolant concentration, followed by the cross feed, the table speed, the coolant flow and the depth of cut ranking the last. Besides, a model for determination of the surface roughness was recommended.

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Acknowledgements

The work described in this paper was supported by Thai Nguyen University of Technology for a scientific project.

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Authors and Affiliations

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

    Luu Anh Tung, Vu Ngoc Pi, Do Thi Thu Ha & Le Xuan Hung

  2. Ha Noi University of Science and Technology, Ha Noi, 100000, Vietnam

    Tien Long Banh

Authors
  1. Luu Anh Tung
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  2. Vu Ngoc Pi
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  3. Do Thi Thu Ha
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  4. Le Xuan Hung
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  5. Tien Long Banh
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Corresponding author

Correspondence to Vu Ngoc Pi .

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Editors and Affiliations

  1. Faculty of Software and Information Science, Iwate Prefectural University, Takizawa, Iwate, Japan

    Hamido Fujita

  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

    Tien Long Banh

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

    Hermann Horst Puta

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Tung, L.A., Pi, V.N., Ha, D.T.T., Hung, L.X., Banh, T.L. (2019). A Study on Optimization of Surface Roughness in Surface Grinding 9CrSi Tool Steel by Using Taguchi Method. In: Fujita, H., Nguyen, D., Vu, N., Banh, T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-030-04792-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-04792-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04791-7

  • Online ISBN: 978-3-030-04792-4

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