Improving the mechanical property of dissimilar Al/Mg hybrid friction stir welding joint by PIO-ANN

• 作者: Wei Hu Zhongwei Ma Shude Ji Qi Song Mingfei Chen Wenhui Jiang
• 来源期刊: 材料科学技术（英文版）
• 年，卷（期）: 2020,（18）
• 页码范围: 41-52
• 页数: 12页
• 语种: 英文

摘要

Ultrasonic-stationary shoulder assisted friction stir welding (U-SSFSW) is a novel hybrid welding tech-nique,which reveals promising prospect in joining Al/Mg dissimilar alloys.A thorough understanding of U-SSFSW process is imperative for the further application of this technique.Pigeon-inspired optimiza-tion (PIO) is a swarm intelligent optimization algorithm and is proposed in mathematical modeling and process optimization by artificial intelligence.In this study,PIO optimized artificial neural network (PIO-ANN) was firstly established to acquire the relationships between the inputs and output of the Al/Mg welding process by U-SSFSW technique.A reliable PIO-ANN was achieved and the joint with a tensile strength of 161 MPa was acquired under the PIO optimized parameters.This tensile strength is higher than any ever-reported results with the similar welding condition.The joint formation,microstructure,microhardness and fracture behaviors were systemically investigated based on the reported studies and the confirmation experiment of this study to explore the enhancing mechanism of U-SSFSW Al/Mgjoint.