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Friction stir welding parameter optimization using novel multi objective dragonfly algorithm - 2021

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Friction stir welding parameter optimization for dragonfly algorithm | S - Logix

Research Area:  Metaheuristic Computing

Abstract:

Friction stir welding (FSW) is a type of welding in which the joint is made in the solid phase using the heat generated through friction. FSW is used to produce welds with superior strength with low distortion. At present, the FSW technique is enormously applied in aerospace-related applications. In the present study, a multi objective optimization technique based on Dragonfly Algorithm (DFA) is proposed for optimizing the weld strength of FSW of aluminum alloy 6082-T6. The prime purpose of this work is to determine the optimal parameter combination of the input process parameters namely the tool rotational speed, the welding speed, and the tool tilt angle to achieve the optimal tensile strength and the impact strength of the weld. The optimal process parameters are validated and simulated using MATLAB software.

Keywords:  
Friction stir welding
Parameter optimization
Dragon fly algorithm
Tensile property
Impact property

Author(s) Name:  P. Pitchipoo, A. Muthiah, K. Jeyakumar, A. Manikandan

Journal name:  International Journal of Lightweight Materials and Manufacture

Conferrence name:  

Publisher name:  Elsevier

DOI:  https://doi.org/10.1016/j.ijlmm.2021.06.006

Volume Information:  Volume 4, Issue 4