Optimization of FSW process parameters for maximum UTS of AA6061/rutile composites using Taguchi technique

Document Type : Article

Authors

1 - Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India. - Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2 Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

Abstract

In the friction stir welding process, preferred joint property is vastly reliant on the selection of optimal welding conditions. The present study aims at the application of the Taguchi approach to finding out the optimal process conditions to get superior ultimate tensile strength in the friction stir welded aluminium matrix composite (AMC) joints. AMC reinforced with rutile particles which have a potential application in the aerospace, automotive, and marine industries are used in the present work. Taguchi parametric design technique was used to identify the influence of rotational speed, tool traverse speed, and tool geometry on joint strength. Taguchi approach confines the optimum level of process variables and optimization of these variables was performed based on this study. Investigation reveals that the parameters within the chosen range of values, critically affect the output. The predicted value of the output response is 155.48 MPa which was validated by conducting further trials with optimum process variables. ANOVA results indicated that the UTS of the composite joint is mainly affected by the tool traverse speed followed by rotational speed, and tool geometry. The microstructural study unveiled that grain size is dependent on process variables and finer grains offer better joint properties

Keywords

References

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Scientia Iranica
Volume 29, Issue 2
Transactions on Mechanical Engineering (B)
March and April 2022
Pages 534-542

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History

  • Receive Date: 18 August 2020
  • Revise Date: 21 May 2021
  • Accept Date: 13 September 2021

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