Acoustic Emission Analysis and Pattern Recognition on Hydrogen Induced Cracking of Mild Steel
摘 要
应用关联图的声发射信号分析方法, 分析了20R压力容器用低碳钢氢致开裂在不同阶段的声发射信号特点, 进而利用人工神经网络的非线性映射能力, 利用试验所得样本对氢致开裂进行模式识别, 识别出裂纹产生的不同阶段。试验结果表明, 该方法能够检测常规检测方法难以检测出的氢致裂纹, 模式识别结果具有较高的准确度, 为实际工程检测提供了参考方法。
Abstract
The acoustic emission(AE) test method was used and the characteristics of different phases of hydrogen induced cracking (HIC) in 20R mild steel were analyzed. Artificial neural network was used to recognize the pattern of HIC. Practical test showed the above method could test the cracks that common method could not test. The result of pattern recognition was rather accurate, and provides a reference method for practical engineering inspection.
中图分类号 TG115.28
所属栏目 2009年远东无损检测论坛论文精选
基金项目 国家十一五科技支撑计划(2006BAK02B02), 河北大学科研基金资助项目
收稿日期 2009/8/1
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备注李丽菲(1982-), 女, 硕士, 从事压力容器无损检测、声发射检测研究工作。
引用该论文: LI Li-Fei,SHEN Gong-Tian,ZHANG Wan-Ling,WANG Fang,ZHOU Wei. Acoustic Emission Analysis and Pattern Recognition on Hydrogen Induced Cracking of Mild Steel[J]. Nondestructive Testing, 2009, 31(10): 773~776
李丽菲,沈功田,张万岭,王芳,周伟. 低碳钢氢致开裂声发射信号分析与模式识别[J]. 无损检测, 2009, 31(10): 773~776
被引情况:
【1】黄三傲,肖学柱,施琦,陈富强,王萍,章小峰2, "SA516Gr70热轧容器钢板的氢渗透特征",理化检验-物理分册 50, 866-869(2014)
【2】刘燕,关卫和,郭鹏举,孔韦海,万章,费勤楠, "磁记忆技术在氢致开裂性能评价中的应用",无损检测 37, 29-31(2015)
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参考文献
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【2】Gongtian Shen, et al, Acoustic Emission Sources of Field Pressure Vessel Test[C]// 13th International Acoustic Emission Symposium, "Progress in Acoustic Emission VIII". Japan: Japanese Society for Non-destructive Inspection,1996.
【3】Ennaceur C, Laksimi A, Herve C, et al. Monitoring crack growth in pressure vessel steels by the acoustic emmission technique and the method of potential difference[J]. International Journal of Pressure Vessels and Piping, 2006(83):197-204.
【4】Builo S I. Diagnostics of the predestruction state based on amplitude and time invariants of the flow of acoustic-emission acts[J]. Russian Journal of Nondestructive Testing,2004;40(8):561.
【5】Keith Brown. Ensuring Vessel Integrity with Acoustic Emission Testing[J]. Inspection Trends,2007,10(2):19.
【6】张亦良, 姚希梦.压力容器用钢的硫化氢应力腐蚀[J].压力容器,1998(1):30-35.
【7】姜放, 饶威.酸性环境中压力容器用钢及腐蚀防护新进展[J].天然气工业,1999(1):94-97.
【8】王维宗, 贾鹏林, 许适群.湿硫化氢环境中腐蚀失效实例及对策[J].石油化工腐蚀与防护,1999,18(2):7-13.
【9】Andreikiv O E, Lisak M V. Acoustic emission in tests on meterials in hydrogenous and corrosive media[J]. Fiziko-Khimickes Kay a Mekhanika Materialov,1990,26(5):26-36.
【10】Bhattacharya A K, Parida N. Monitoring hydrogen embrittlement cracking using acoustic emission technique[J]. Journal of Materials Science,1992(27):1421-1427.
【11】Tsai S Y, Shih H C. Correlation between acoustic emission signals and hydrogen permeation in high strength, low alloy teel cracking in wet H2S[J]. Journal of Electrochemical Society,1998,145(6):1968-1976.
【12】Mazrou H, Hamadouchem. Application of artificial neural network for safety core parameters prediction in LWRRS[J]. Progress in Nuclear Energy,2004,44(3):263-215.
【2】Gongtian Shen, et al, Acoustic Emission Sources of Field Pressure Vessel Test[C]// 13th International Acoustic Emission Symposium, "Progress in Acoustic Emission VIII". Japan: Japanese Society for Non-destructive Inspection,1996.
【3】Ennaceur C, Laksimi A, Herve C, et al. Monitoring crack growth in pressure vessel steels by the acoustic emmission technique and the method of potential difference[J]. International Journal of Pressure Vessels and Piping, 2006(83):197-204.
【4】Builo S I. Diagnostics of the predestruction state based on amplitude and time invariants of the flow of acoustic-emission acts[J]. Russian Journal of Nondestructive Testing,2004;40(8):561.
【5】Keith Brown. Ensuring Vessel Integrity with Acoustic Emission Testing[J]. Inspection Trends,2007,10(2):19.
【6】张亦良, 姚希梦.压力容器用钢的硫化氢应力腐蚀[J].压力容器,1998(1):30-35.
【7】姜放, 饶威.酸性环境中压力容器用钢及腐蚀防护新进展[J].天然气工业,1999(1):94-97.
【8】王维宗, 贾鹏林, 许适群.湿硫化氢环境中腐蚀失效实例及对策[J].石油化工腐蚀与防护,1999,18(2):7-13.
【9】Andreikiv O E, Lisak M V. Acoustic emission in tests on meterials in hydrogenous and corrosive media[J]. Fiziko-Khimickes Kay a Mekhanika Materialov,1990,26(5):26-36.
【10】Bhattacharya A K, Parida N. Monitoring hydrogen embrittlement cracking using acoustic emission technique[J]. Journal of Materials Science,1992(27):1421-1427.
【11】Tsai S Y, Shih H C. Correlation between acoustic emission signals and hydrogen permeation in high strength, low alloy teel cracking in wet H2S[J]. Journal of Electrochemical Society,1998,145(6):1968-1976.
【12】Mazrou H, Hamadouchem. Application of artificial neural network for safety core parameters prediction in LWRRS[J]. Progress in Nuclear Energy,2004,44(3):263-215.
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