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Wakchaure, Kiran
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Publications (2/2 displayed)
- 2023The Effect of Cooling Temperature on Microstructure and Mechanical Properties of Al 6061-T6 Aluminum Alloy during Submerged Friction Stir Weldingcitations
- 2023Mechanical and microstructural characteristics of underwater friction stir welded AA 6061-T6 joints using a hybrid GRA-artificial neural network approach
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article
Mechanical and microstructural characteristics of underwater friction stir welded AA 6061-T6 joints using a hybrid GRA-artificial neural network approach
Abstract
In this paper hybrid grey relations analysis (GRA) and an artificial neural network(ANN) are applied to study the influence of process parameters on the mechanical propertiesof friction stir welded aluminum alloy 6061-T6. Thirty experiments were performed byvarying tool rotation speed, tool traverse speed, and tool tilt angle to study their effects onultimate tensile strength, yield strength, percentage elongation, and impact strength of FSWjoints. GRA was used to convert all responses into the single response variable, i.e., the greyrelation grade (GRG). A feed-forward backpropagation ANN with two hidden layerscomposed of 9 and 7 neurons each was used to simulate the weld joint characteristics in termsof GRG. ANOVA analysis was used to study the influence of process parameters on greyrelation grade. It was found that tool rotation speed has a significant impact on weldcharacteristics, followed by traverse speed and tilt angle. Based on the results it was revealedthat tool rotation speed contributes 39.89% to the mechanical properties of underwaterfriction stir welding of AA 6061-T6, followed by tool traverse speed and tool tilt angle,respectively, by 29.87% and 19.59%. The tensile test demonstrates that the underwater FSWjoint is approximately 8% stronger than the conventional air FSW joint due to grainrefinement and increased nugget zone hardness because of less heat exposure and absorption.