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Taguchi Coupled GRA Based Optimization of Shoulder Milling Process Parameters During Machining of SS-304

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Recent Advances in Intelligent Manufacturing ( ICAME 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Milling is a flexible machine that is used to mill a wide range of industrial components, including construction and agricultural equipment, rail and mining vehicles, various types of passenger and commercial automobiles, earthmoving barges, and dams. The experimental and numerical results of shoulder milling with the VMM on SS-304 are presented in this study. This investigation aims to accomplish the effect of the milling input factor on surface roughness, material removal rate, and microhardness. The process parameters are coolant, feed, depth of cut, and speed are taken into account to optimize the result of surface roughness, material removal rate, and microhardness. Taguchi L18 technique was selected for the experimental trial with grey relational analysis. ANOVA and F-test were employed to search the contribution of each parameter. The result is confirmed and validated by a validation test, which illustrates that it is feasible to improve the surface roughness, material removal rate, and microhardness appreciably.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Vidya College of Engineering, Meerut, India

    Vijay Singh Bhadauria, Gaurav Kumar & Mukesh Kumar

  2. Department of Mechanical Engineering, Meerut Institute of Engineering and Technology, Meerut, India

    Husain Mehdi

Authors
  1. Vijay Singh Bhadauria
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  2. Gaurav Kumar
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  3. Husain Mehdi
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  4. Mukesh Kumar
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Corresponding author

Correspondence to Husain Mehdi .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Delhi, Delhi, India

    Harish Kumar

  2. Design and Manufacturing, Indian Institute of Information Technology, Jabalpur, India

    Prashant K. Jain

  3. London South Bank University, London, UK

    Saurav Goel

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bhadauria, V.S., Kumar, G., Mehdi, H., Kumar, M. (2023). Taguchi Coupled GRA Based Optimization of Shoulder Milling Process Parameters During Machining of SS-304. In: Kumar, H., Jain, P.K., Goel, S. (eds) Recent Advances in Intelligent Manufacturing. ICAME 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-1308-4_4

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  • DOI: https://doi.org/10.1007/978-981-99-1308-4_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1307-7

  • Online ISBN: 978-981-99-1308-4

  • eBook Packages: EngineeringEngineering (R0)

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