Abstract
To encounter the issues in fusion welding, friction stir welding (FSW) was developed during the early 90s. On the abutting surfaces, the frictional heat is generated by the non-consumable tool which is used to weld the work piece. The quality of the weld is influenced by several parameters such as welding speed, rotational speed, and tool tilt angle. In this paper, the quality of friction stir welded aluminum alloy AA 5083 is optimized. Full factorial experimental design is used to conduct experiments. The output performances considered in this paper are tensile strength and impact strength. These output performances define the quality of the weld. In this work, an attempt is made to optimize the weld quality using ant lion optimization (ALO) to find the ideal combination of welding parameters. Finally, a confirmation test is also done to validate the findings of the ALO. Through ALO, the better mechanical strengths are predicted at 1002 rpm, 2° tool tilt angle, and 2.5 cm/s welding speed.
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Pitchipoo, P., Muthiah, A., Manikandan, A., Jeyakumar, K. (2023). Parameter Optimization of Friction Stir Welding of Aluminum Alloy-AA 5083 Using Novel Ant Lion Algorithm. In: Rajkumar, K., Jayamani, E., Ramkumar, P. (eds) Recent Advances in Materials Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3895-5_12
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DOI: https://doi.org/10.1007/978-981-19-3895-5_12
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