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Surface Roughness Model When Grinding 1066 Steel

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Advances in Engineering Research and Application (ICERA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 366))

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Abstract

A steel cylindrical grinding process has been carried out in this study, in which 1066 steel was employed as the experimental material and an aluminum oxide grinding wheel was utilized. The experimental matrix has been designed in the form of Central Composite Designs (CCD) with four input parameters, including cutting velocity, workpiece velocity, feed rate, and cutting depth. The surface roughness has been selected as the output parameter of the grinding process. The analysis of the experimental results using Pareto chart has determined the effect of the input parameters on the surface roughness. A regression model showing the relationship between the surface roughness and input parameters has been set up. In order to improve the accuracy of the surface roughness model, two data transformations of Box-Cox and Johnson have been applied to build two more surface roughness models. These three roughness models have been used to predict the surface roughness and those predictions have been compared with experimental surface roughness. Through the comparison criteria including coefficient of determination R2, adjusted coefficient of determination R2(adj), and absolute percentage error (PAE), the roughness model with the highest accuracy has been determined. Finally, the direction for further studies has also been mentioned in this article.

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Acknowledgment

This work was supported by Thai Nguyen University of Technology.

Author information

Authors and Affiliations

  1. Ha Noi University of Industry, Hanoi, Vietnam

    Do Duc Trung & Nguyen Van Tuan

  2. University of Economics - Technology for Industries, Hanoi, Vietnam

    Trinh Kieu Tuan

  3. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Tran Quoc Hoang

  4. Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Luu Anh Tung

Authors
  1. Do Duc Trung
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  2. Trinh Kieu Tuan
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  3. Tran Quoc Hoang
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  4. Nguyen Van Tuan
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  5. Luu Anh Tung
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Corresponding author

Correspondence to Luu Anh Tung .

Editor information

Editors and Affiliations

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

    Duy Cuong Nguyen

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

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

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

    Horst Puta

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

    Kai-Uwe Sattler

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Trung, D.D., Tuan, T.K., Hoang, T.Q., Van Tuan, N., Tung, L.A. (2022). Surface Roughness Model When Grinding 1066 Steel. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2021. Lecture Notes in Networks and Systems, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-030-92574-1_92

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  • DOI: https://doi.org/10.1007/978-3-030-92574-1_92

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92573-4

  • Online ISBN: 978-3-030-92574-1

  • eBook Packages: EngineeringEngineering (R0)

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