A Novel Method for Predicting Tensile Strength of Friction Stir Welded AA6061 Aluminium Alloy Joints Based on Hybrid Random Vector Functional Link and Henry Gas Solubility Optimization

Aluminum alloys have low weldability by conventional fusion welding processes. Friction stir welding (FSW) is a promising alternative to traditional fusion welding techniques for producing high quality aluminum joints. The quality of the welded joints is highly dependent on the process parameters us...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.79896-79907
Hauptverfasser:	Shehabeldeen, Taher A., Elaziz, Mohamed Abd, Elsheikh, Ammar H., Hassan, Osama Farouk, Yin, Yajun, Ji, Xiaoyuan, Shen, Xu, Zhou, Jianxin
Format:	Artikel
Sprache:	eng
Schlagworte:	6061Aluminum alloy Algorithms Alloys Aluminum alloys Aluminum base alloys artificial neural network Artificial neural networks Friction Friction stir welding Fusion welding Gas solubility Henry gas solubility optimization Mathematical models Mechanical properties Model testing Optimization Performance enhancement Predictive models Process parameters random vector functional link Tensile strength Ultimate tensile strength Welded joints Welding Welding parameters
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