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Studying Optimal Set of Input Parameters for CBN Grinding Aluminum 6061T6 on CNC Milling Machine

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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

This article presents a multi-objective optimization process of surface grinding for Aluminum alloy 6061 in CNC machine tools. The aim is to find the optimal set of grinding parameters that can simultaneously satisfy maximizing material removal speed (MRS) and minimizing surface roughness. The partial factor method 24–1 is used to determine the number of tests. Four process parameters are chosen as input parameters, namely spindle speed (Rpm), feed rate (Fe), depth of cut (aed), down feed (Df). The multi-objective function optimization becomes only the optimization of Composite Desirability function (CDF). Regression functions to predict both surface roughness and material removal rate are constructed based on the experimental results. The results reveal that when CDF reaches the value of 0.669, it can be found the minimum surface roughness of 0.19 µm and MRS reaches a maximum value of 16.23 (g/h).

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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 Transport and Communications, Hanoi, Vietnam

    Bui Thanh Danh

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

    Luu Anh Tung, Duong Van Phuong & Nguyen Dinh Ngoc

  3. Vinh Long University of Technology Education, Vĩnh Long, Vietnam

    Tran Huu Danh

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

    Tran Minh Tan

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

    Trinh Kieu Tuan

Authors
  1. Bui Thanh Danh
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  2. Luu Anh Tung
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  3. Tran Huu Danh
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  4. Tran Minh Tan
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  5. Trinh Kieu Tuan
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  6. Duong Van Phuong
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  7. Nguyen Dinh Ngoc
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Corresponding author

Correspondence to Nguyen Dinh Ngoc .

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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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Danh, B.T. et al. (2023). Studying Optimal Set of Input Parameters for CBN Grinding Aluminum 6061T6 on CNC Milling Machine. 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_95

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  • DOI: https://doi.org/10.1007/978-3-031-22200-9_95

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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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