作者: J. Y. Li , X. X. Yao , Z. Zhang
DOI: 10.1007/S11665-020-05132-X
关键词:
摘要: Variations in chemical compositions can lead to changes the mechanical properties during friction stir welding (FSW). To facilitate control over final of weld, relationship between and must be investigated. An artificial neural network was used for a data-driven analysis effects that have on FSW. A precipitate evolution model implemented examine detailed contributions different elements properties. Experiments with were conducted validate established models. Through both numerical experimental analyses, it determined yield strength zone increased an increase Mg/Si owing formation Mg2Si. The also Si, Mg, Cu contents solid solution. decreased Fe Mn intermetallic compound α-Alx(MnFe)ySiz. by temperature compositions. By utilizing physical based analysis, could optimally controlled.