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Multi-responses Optimization of Process Parameters in Die-Sinking EDM Process on SKD11 Steel Using PSI Based Taguchi Method

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Advances in Engineering Research and Application (ICERA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 104))

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Abstract

Electrical discharge machining (EDM) is a very common method used in mould making with complex shape. The optimizing multi-objective process parameters and weight selection for each quality indicator in EDM is very complex. In the present study, an attempt has been made to perform multi-objective optimization in EDM using Taguchi - Preference selection index. Current (I), voltage (V), pulse on time (Ton) and pulse off time (Tof) has been considered as process parameters to optimize the performance measures such as material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra) under L25 Taguchi orthogonal matrix based experimental design. From the experimental investigation, the optimal process parameters on machining SKD11 steel has been identified as I (5 A), V (70 V), Ton (50 µs) and Tof (18 µs). It has also been observed that the proposed method can significantly reduce the experimental time and cost.

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Acknowledgements

The work described in this paper was supported by Thai Nguyen University of Technology.

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Authors and Affiliations

  1. Hanoi University of Industry, Hanoi, Vietnam

    Nguyen Huu Phan, Nguyen Van Duc & Pham Van Bong

  2. SRM Institute of Science and Technology, Kattankulathur, India

    T. Muthuramalingam

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

    Ngoc Pi Vu & Le Xuan Hung

Authors
  1. Nguyen Huu Phan
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  2. Nguyen Van Duc
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  3. Pham Van Bong
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  4. T. Muthuramalingam
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  5. Ngoc Pi Vu
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  6. Le Xuan Hung
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Corresponding author

Correspondence to Le Xuan Hung .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Thüringen, 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, TU Ilmenau, Ilmenau, Thüringen, Germany

    Horst Puta

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Phan, N.H., Van Duc, N., Van Bong, P., Muthuramalingam, T., Vu, N.P., Hung, L.X. (2020). Multi-responses Optimization of Process Parameters in Die-Sinking EDM Process on SKD11 Steel Using PSI Based Taguchi Method. In: Sattler, KU., Nguyen, D., Vu, N., Tien Long, B., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2019. Lecture Notes in Networks and Systems, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-030-37497-6_57

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