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Study on Multi-criteria Optimization in CBN Grinding SKD11 Tool Steel

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Advances in Engineering Research and Application (ICERA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 602))

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Abstract

A multi-objective optimization study for CBN grinding SKD11 tool steel on a CNC milling machine is presented in this paper. In this work, two objective functions consisting of minimizing surface roughness (SR) and maximizing material removal speed (MRS) were considered. Four input factors dressing cut depth aed (mm), wheel speed Rpm (rpm), feed rate Fe (mm/min), and wheel diameter dw (mm) were investigated. The effects of the variables on the multi-objective function were assessed. Furthermore, an optimal set of input process parameters was suggested.

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Acknowledgment

This work was supported by Thai Nguyen University of Technology.

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Authors and Affiliations

  1. University of Economics—Technology for Industries, Hanoi, Vietnam

    Trieu Quy Huy

  2. National Research Institute of Mechanical Engineering, Hanoi, Vietnam

    Vu Van Khoa

  3. University of Transport and Communications, Hanoi, Vietnam

    Bui Thanh Danh

  4. Vinh Long University of Technology Education, Vinh Long, Vietnam

    Tran Huu Danh

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

    Hoang Xuan Tu, Vu Ngoc Pi & Bui Thanh Hien

Authors
  1. Trieu Quy Huy
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  2. Vu Van Khoa
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  3. Bui Thanh Danh
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  4. Tran Huu Danh
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  5. Hoang Xuan Tu
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  6. Vu Ngoc Pi
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  7. Bui Thanh Hien
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Corresponding author

Correspondence to Bui Thanh Hien .

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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Huy, T.Q. et al. (2023). Study on Multi-criteria Optimization in CBN Grinding SKD11 Tool Steel. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_12

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  • DOI: https://doi.org/10.1007/978-3-031-22200-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22199-6

  • Online ISBN: 978-3-031-22200-9

  • eBook Packages: EngineeringEngineering (R0)

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