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304控氮不锈钢应力腐蚀过程中声发射信号聚类分析
引用本文:王伟魁,曾周末,杜刚,魏永佳,宋诗哲. 304控氮不锈钢应力腐蚀过程中声发射信号聚类分析[J]. 化工学报, 2011, 62(4): 1027-1033
作者姓名:王伟魁  曾周末  杜刚  魏永佳  宋诗哲
作者单位:天津大学精密测试技术及仪器国家重点实验室,天津 300072;天津大学材料科学与工程学院,天津 300072
基金项目:国家重点基础研究发展计划项目
摘    要:研究了304控氮不锈钢试样在酸性氯化钠溶液中慢应变速率拉伸过程的声发射特征.采用基于自组织映射神经网络和K-均值聚类算法对长时间慢拉伸实验的声发射信号进行聚类分析,通过分析各类信号的持续时间、上升时间、振铃、能量、幅值、波形、频带能量等特征,从中找出了裂纹信号.将分类后的信号作为样本训练神经网络,对短时间慢拉伸实验检测...

关 键 词:声发射  304控氮不锈钢  应力腐蚀开裂  聚类分析  慢应变速率拉伸

Cluster analysis of acoustic emission signals during 304NG stainless steel stress corrosion process
WANG Weikui,ZENG Zhoumo,DU Gang,WEI Yongjia,SONG Shizhe. Cluster analysis of acoustic emission signals during 304NG stainless steel stress corrosion process[J]. Journal of Chemical Industry and Engineering(China), 2011, 62(4): 1027-1033
Authors:WANG Weikui  ZENG Zhoumo  DU Gang  WEI Yongjia  SONG Shizhe
Abstract:The acoustic emission (AE)signals characteristic of nitrogen-added 304NG stainless steel stress corrosion process was studied.Two experiments were performed, one was long term slow strain rate test (SSRT), and the other was short term slow strain rate test.The solution was made of 0.5 mol·L-1 NaCl and 1.5 mol·L-1 H2SO4.By using combined self-organizing maps and K-means cluster algorithm to classify the AE signals in long term SSRT, in which the duration, counts, energy, amplitude, waveform and frequency band energy were analyzed as the AE signals’ characteristics,and the crack AE signals were found.The classified signals were trained by using the artificial neural network, so as to identify the different types AE signals in short term SSRT.The result showed that AE test for 304NG stainless steel stress corrosion process would be confirmed by electrochemical noise test.And there were mainly three types of AE signals during 304NG stainless steel stress corrosion process, including crack, pitting and bubbles, which could be classified by using cluster analysis and be provided as template to build artificial neural network to identify the AE signals generated in the same corrosion environment.
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