Neural Networks Applied for Predictive Parameters Analysis of the Refill Friction Stir Spot Welding Process of 6061-T6 Aluminum Alloy Plates

Refill friction stir spot welding (RFSSW) technology is a solid-state joint that can replace conventional welding or riveting processes in aerospace applications. The quality of the new welding process is directly influenced by the welding parameters selected. A finite element analysis was performed...

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Veröffentlicht in:	Materials 2023-06, Vol.16 (13), p.4519
Hauptverfasser:	Bîrsan, Dan Cătălin, Păunoiu, Viorel, Teodor, Virgil Gabriel
Format:	Artikel
Sprache:	eng
Schlagworte:	Alloys Aluminum Aluminum alloys Aluminum base alloys Defects Deformation Finite element analysis Finite element method Friction stir welding Friction welding Innovations Manufacturing Mechanical properties Metal plates Metals Neural networks Normal stress Optimization models Penetration depth Product reliability Residual stress Riveting Shear strength Simulation Spot welding Sustainable development Temperature Welding Welding parameters
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