Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 17 November 2022
Issue publication date: 27 March 2023
Abstract
Purpose
This paper aims to accomplish friction stir welding (FSW) of Al–Li alloy AA8090 to determine optimal settings of the process parameters for higher tensile strength and higher micro-hardness (MH) to achieve the objective of adequate butt-joint strength.
Design/methodology/approach
An empirical relation is implemented to govern the utmost influence parameters, i.e. tool rotation speed (TRS), tool transverse speed (TTS) and dwell time (DT). Taguchi grey relational analysis (GRA) was applied for multi-response optimization of response parameters. The grey relational grades (GRs) have been calculated for both the responses MH and ultimate tensile strength to get optimal parametric settings. The variance test has been performed to check the adequacy of the model.
Findings
The Taguchi L9 orthogonal array design was used in establishing the relation between input parameter and output parameter (tensile and MH). TTS and DT have been predicted to be the two most important parameters that influence the extreme quality features of joints by using friction stir welding. Scanning electron microscopy fractography shows the ductile failure of the welded joints.
Originality/value
The experimental trials provided the followings results, maximum ultimate tensile strength (UTS) of 219 MPa and MH 107.1 HV under 1,400 rpm of TRS, 40 mm/min of TTS and 8 s of DT founded the optimum value through GRA.
Keywords
Acknowledgements
Corrigendum: It has come to the attention of the publisher that the article: Panwar, R. and Chandna, P. (2023), “Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis”, Aircraft Engineering and Aerospace Technology, Vol. 95 No. 5. https://doi.org/10.1108/AEAT-05-2022-0118 contained errors in Table 10. The table has been updated to preserve meaning in the article and the authors apologise for any confusion caused.
The authors would like to acknowledge the National Institute of Technology (Institute of National Importance), Kurukshetra, Haryana, 136119, India for providing the facility required to carry out this research work.
Citation
Panwar, R. and Chandna, P. (2023), "Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis", Aircraft Engineering and Aerospace Technology, Vol. 95 No. 5, pp. 715-724. https://doi.org/10.1108/AEAT-05-2022-0118
Publisher
:Emerald Publishing Limited
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