Prediction of friction stir welding in aluminium 6061 – T6 using ANN

Sivam, S.P. Sundar Singh; Balasubramanian, Sivasamy; Gurumani, Asvath; Kesavan, Stalin

doi:10.1016/j.matpr.2022.09.046

Materials Today: Proceedings

2022

DOI: 10.1016/j.matpr.2022.09.046

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Prediction of friction stir welding in aluminium 6061 – T6 using ANN

S.P. Sundar Singh Sivam

Sivasamy Balasubramanian²,

Asvath Gurumani³

et al.

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Cited by 2 publications

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Machine learning metamodels for thermo-mechanical analysis of friction stir welding

Burande,

Kalita,

Gupta

et al. 2024

Int J Interact Des Manuf

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Machine learning metamodels for thermo-mechanical analysis of friction stir welding

Burande,

Kalita,

Gupta

et al. 2024

Int J Interact Des Manuf

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Effects of different profiled pins used in friction stir welding of Al 6061 T6

Gündoğdu İş,

Koçak,

Basar

et al. 2023

Materials Testing

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In this study, Al 6061 T6 alloy was joined by friction stir welding method with the same parameters using with different profiled pins. As a result of the experiments carried out, the samples were subjected to metallographic examination, hardness measurements, tensile test and bending test. As a result of the examinations carried out, changes in welding performances were determined with the change of pin profiles. As a result of these changes, it was determined that the pin profile suitable for the applied welding parameters was pyramid. It has been concluded that in the use of triangular profile pins, the welding parameters in question should be higher, and the most important reason for this is that the stir zone is larger.

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Prediction of friction stir welding in aluminium 6061 – T6 using ANN

Cited by 2 publications

References 12 publications

Machine learning metamodels for thermo-mechanical analysis of friction stir welding

Machine learning metamodels for thermo-mechanical analysis of friction stir welding

Effects of different profiled pins used in friction stir welding of Al 6061 T6

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