声发射
材料科学
焊接
多元统计
合金
小波
搅拌摩擦焊
铝
延伸率
复合材料
冶金
声学
极限抗拉强度
计算机科学
人工智能
物理
机器学习
作者
A. A. Dmitriev,V. V. Polyakov,Е. А. Колубаев
标识
DOI:10.1088/1742-6596/1615/1/012003
摘要
Abstract The acoustic emission method was applied to study aluminum-magnesium alloys produced by friction stir welding. Alloy specimens were tested under static tension with simultaneous recording of acoustic emission, applied load, and elongation. The recorded acoustic emission signals were processed using projection methods of multivariate data analysis; the informative features used were the coefficients of wavelet discrete decomposition which characterize the low-frequency form of the signal. It is shown that the proposed approach allows the partition of signals formed on different stages of plastic deformation and fracture. Strong differences in acoustic emission signals were revealed and described to be due to the formation of highly defect structure in the weld zones in different welding modes. The obtained results can be useful for acoustic emission diagnostics of welded joints in structures of metal alloys exposed to external loads.
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