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Multi-objective Optimization of FSW Process Variables of Aluminium Matrix Composites Using Taguchi-Based Grey Relational Analysis

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Advances in Computational Methods in Manufacturing

Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering ((LNMUINEN))

Abstract

Successful joining of aluminium alloys using friction stir welding (FSW) opens a new window research in extending this technique to join aluminium matrix composites (AMCs). Current research is focused on optimization of process variables for multiple responses simultaneously. Experiments were performed using tool pin profile, rotational speed (RS) and welding speed (WS) as ideal process variables for multi-objective optimization in FSW of AMCs. Tensile strength, macro-hardness and elongation are considered as multi-response behaviour. Grey relational grade for the chosen multiple responses are obtained using grey analysis. Analysis of variance was utilized to understand the influence of process variables on the grey relational grade. Analysis reveals that RS and WS were the most influencing process variables on the output responses. Confirmation experiments were performed at optimized process variables to validate the present study. Predicted values were in good agreement with the experimental results.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

    Subramanya R. B. Prabhu, Mervin A. Herbert & Shrikantha S. Rao

  2. Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

    Subramanya R. B. Prabhu & Arun Kumar Shettigar

Authors
  1. Subramanya R. B. Prabhu
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  2. Arun Kumar Shettigar
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  3. Mervin A. Herbert
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  4. Shrikantha S. Rao
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Corresponding author

Correspondence to Subramanya R. B. Prabhu .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    R. Ganesh Narayanan

  2. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Shrikrishna N. Joshi

  3. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Uday Shanker Dixit

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Prabhu, S.R.B., Shettigar, A.K., Herbert, M.A., Rao, S.S. (2019). Multi-objective Optimization of FSW Process Variables of Aluminium Matrix Composites Using Taguchi-Based Grey Relational Analysis. In: Narayanan, R., Joshi, S., Dixit, U. (eds) Advances in Computational Methods in Manufacturing. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9072-3_12

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