油气管道金属磁记忆检测技术的研究进展
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摘要
从油气管道的常见失效形式出发,重点探讨了金属磁记忆技术在管道应力集中、早期疲劳损伤等微观缺陷及腐蚀、裂纹等宏观缺陷检测中的研究现状与发展趋势。在综述现有研究的基础上,指出磁记忆技术在管道检测中的优势和下一步的研究方向。
Starting with analyzing commonly-seen failure types of oil and gas pipelines, the research status and development trends of the metal magnetic memory technique applied in testing micro-defects including the stress concentration and early fatigue damage and the macro-defects including corrosion and cracks for pipelines were discussed. The advantages of magnetic memory technique in inspecting pipelines and its future research direction were also pointed out on the basis of the current research status at home and abroad.
Starting with analyzing commonly-seen failure types of oil and gas pipelines, the research status and development trends of the metal magnetic memory technique applied in testing micro-defects including the stress concentration and early fatigue damage and the macro-defects including corrosion and cracks for pipelines were discussed. The advantages of magnetic memory technique in inspecting pipelines and its future research direction were also pointed out on the basis of the current research status at home and abroad.
引文
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[2] Gorkunov E S.Different Remanence States and Their Resistance to External Effects:Discussing the “Method of Magnetic Memory”[J].Russian Journal of Nondestructive Testing,2014,50(11):3～21.
[3] 安琳琳,姜海燕,周葳,等.基于金属磁记忆检测技术的油气管道检测研究[J].石油和化工设备,2015,18(5):55～57.
[4] 杨理践,王国庆,刘斌,等.油气管道塑性变形的磁记忆检测[J].无损检测,2016,38(3):8～10.
[5] 高山卜,王维斌,毕武喜,等.管道磁记忆检测信号与缺陷应力关系的有限元仿真[J].油气储运,2012,31(2):118～120.
[6] 万强,牛红攀,韦利明,等.油气管道弱磁力层析无损检测技术研究[J].应用数学和力学,2014,35(z1):221～225.
[7] 易方.基于ANSYS的管道磁记忆检测技术仿真研究[J].化工机械,2014,41(2):207～210.
[8] Dubov A,Kolokolnikov S,Evdokimov M,et al.Estimation of Gas and Oil Pipelines Condition Based on the Method of Metal Magnetic Memory[C].Proceedings of the 17th World Conference on Nondestructive Testing.Shanghai:Chinese Society for Nondestructive Testing,2008:25～28.
[9] 郭爱莲.磁记忆检测技术的基础性研究与应用[D].秦皇岛:燕山大学,2011.
[10] 刘书俊,李著信,龚利红,等.基于小波分析的油气管道缺陷磁记忆检测研究[J].机床与液压,2011,39(21):54～56.
[11] 刘书俊,李著信,苏毅,等.基于小波包能量谱的管道缺陷磁记忆检测信号特征研究[J].后勤工程学院学报,2012,28(4):74～78.
[12] Liu B,Sun W R,Lin Y R.The Study of Electromagnetic Stress Testing Method on Oil-Gas Pipelines Based on WT[J].Geomaterials,2014,4(2):55～63.
[13] 杨勇,尹春峰,姬杰.金属磁记忆技术在埋地金属管道应力集中区检测中的应用[J].石油工程建设,2012,38(5):54～57.
[14] Li C J,Chen C,Liao K X.A Quantitative Study of Signal Characteristics of Non-Contact Pipeline Magnetic Testing[J].Insight:Non-Destructive Testing & Condition Monitoring,2015,57(6):324～330.
[15] Li Z C,Jarvis R,Nagy P B,et al.Experimental and Simulation Methods to Study the Magnetic Tomography Method (MTM) for Pipe Defect Detection[J].NDT & E International,2017,92:59～66.
[16] 王国庆,杨理践,刘斌.基于磁记忆的油气管道应力损伤检测方法研究[J].仪器仪表学报,2017,38(2):271～278.
[17] 罗龙清.金属磁记忆定量评估疲劳损伤程度研究[D].南昌:南昌航空大学,2011.
[18] 刘昌奎,陈星,张兵,等.构件低周疲劳损伤的金属磁记忆检测试验研究[J].航空材料学报,2010,30(1):72～77.
[19] 钱正春,黄海鸿,姜石林,等.铁磁性材料拉/压疲劳磁记忆信号研究[J].电子测量与仪器学报,2016,30(4):506～517.
[20] 李绍杰,田福成,撖文广,等.基于金属磁记忆的智能清管器技术可行性研究[J].管道技术与设备,2009,(6):21～23.
[21] Loskutov V E,Matvienko A F,Patramanskii B V.The Magnetic Method for In-Tube Nondestructive Testing of Gas and Oil Pipelines:The Past and the Present[J].Russian Journal of Nondestructive Testing,2006,42(8):493～504.
[22] 胡钢.X70管线钢和304不锈钢应力腐蚀与磁记忆效应的相关性研究[D].北京:北京化工大学,2005.
[23] Dubov A A,Kolokolnikov S M.Non-contact Magnetometric Diagnostics of Potentially Hazardous Sections of Buried and Insulated Pipelines Susceptible to Failure[J].Welding in the World,2017,61(1):107～115.
[24] 唐德东,周鹏.磁记忆技术在管件裂纹检测中的应用[J].仪器仪表学报,2004,25(z3):255～256.
[25] Huang H,Qian Z,Yang C,et al.Magnetic Memory Signals of Ferromagnetic Weldment Induced by Dynamic Bending Load[J].Nondestructive Testing and Evaluation,2017,32(2):166～184.
[26] Li X M,Ding H S,Bai S W.Research on the Stress-Magnetism Effect of Ferromagnetic Materials Based on Three-Dimensional Magnetic Flux Leakage Testing[J].NDT & E International,2014,62(2):50～54.
[27] 柳军,黄陈,陈绍伟,等.金属管道裂纹的磁记忆检测研究[J].机械强度,2015,37(1):160～165.
[28] 邸新杰,李午申,严春妍,等.焊接裂纹金属磁记忆信号的特征提取与应用[J].焊接学报,2006,27(2):19～22.
[29] 易方,李著信,吕宏庆,等.基于模糊核支持向量机的管道磁记忆检测缺陷识别[J].石油学报,2010,31(5):863～866.
[30] 龚利红,李著信,许红,等.基于感知器神经网络的金属磁记忆检测管道缺陷分析[J].机床与液压,2013,41(9):186～188.
[31] Chen N,Lin H,Wang X K.Coupling Method of Magnetic Memory and Eddy Current Nondestructive Testing for Retired Crankshafts[J].Journal of Mechanical Science and Technology,2016,30(7):3097～3104.
[2] Gorkunov E S.Different Remanence States and Their Resistance to External Effects:Discussing the “Method of Magnetic Memory”[J].Russian Journal of Nondestructive Testing,2014,50(11):3～21.
[3] 安琳琳,姜海燕,周葳,等.基于金属磁记忆检测技术的油气管道检测研究[J].石油和化工设备,2015,18(5):55～57.
[4] 杨理践,王国庆,刘斌,等.油气管道塑性变形的磁记忆检测[J].无损检测,2016,38(3):8～10.
[5] 高山卜,王维斌,毕武喜,等.管道磁记忆检测信号与缺陷应力关系的有限元仿真[J].油气储运,2012,31(2):118～120.
[6] 万强,牛红攀,韦利明,等.油气管道弱磁力层析无损检测技术研究[J].应用数学和力学,2014,35(z1):221～225.
[7] 易方.基于ANSYS的管道磁记忆检测技术仿真研究[J].化工机械,2014,41(2):207～210.
[8] Dubov A,Kolokolnikov S,Evdokimov M,et al.Estimation of Gas and Oil Pipelines Condition Based on the Method of Metal Magnetic Memory[C].Proceedings of the 17th World Conference on Nondestructive Testing.Shanghai:Chinese Society for Nondestructive Testing,2008:25～28.
[9] 郭爱莲.磁记忆检测技术的基础性研究与应用[D].秦皇岛:燕山大学,2011.
[10] 刘书俊,李著信,龚利红,等.基于小波分析的油气管道缺陷磁记忆检测研究[J].机床与液压,2011,39(21):54～56.
[11] 刘书俊,李著信,苏毅,等.基于小波包能量谱的管道缺陷磁记忆检测信号特征研究[J].后勤工程学院学报,2012,28(4):74～78.
[12] Liu B,Sun W R,Lin Y R.The Study of Electromagnetic Stress Testing Method on Oil-Gas Pipelines Based on WT[J].Geomaterials,2014,4(2):55～63.
[13] 杨勇,尹春峰,姬杰.金属磁记忆技术在埋地金属管道应力集中区检测中的应用[J].石油工程建设,2012,38(5):54～57.
[14] Li C J,Chen C,Liao K X.A Quantitative Study of Signal Characteristics of Non-Contact Pipeline Magnetic Testing[J].Insight:Non-Destructive Testing & Condition Monitoring,2015,57(6):324～330.
[15] Li Z C,Jarvis R,Nagy P B,et al.Experimental and Simulation Methods to Study the Magnetic Tomography Method (MTM) for Pipe Defect Detection[J].NDT & E International,2017,92:59～66.
[16] 王国庆,杨理践,刘斌.基于磁记忆的油气管道应力损伤检测方法研究[J].仪器仪表学报,2017,38(2):271～278.
[17] 罗龙清.金属磁记忆定量评估疲劳损伤程度研究[D].南昌:南昌航空大学,2011.
[18] 刘昌奎,陈星,张兵,等.构件低周疲劳损伤的金属磁记忆检测试验研究[J].航空材料学报,2010,30(1):72～77.
[19] 钱正春,黄海鸿,姜石林,等.铁磁性材料拉/压疲劳磁记忆信号研究[J].电子测量与仪器学报,2016,30(4):506～517.
[20] 李绍杰,田福成,撖文广,等.基于金属磁记忆的智能清管器技术可行性研究[J].管道技术与设备,2009,(6):21～23.
[21] Loskutov V E,Matvienko A F,Patramanskii B V.The Magnetic Method for In-Tube Nondestructive Testing of Gas and Oil Pipelines:The Past and the Present[J].Russian Journal of Nondestructive Testing,2006,42(8):493～504.
[22] 胡钢.X70管线钢和304不锈钢应力腐蚀与磁记忆效应的相关性研究[D].北京:北京化工大学,2005.
[23] Dubov A A,Kolokolnikov S M.Non-contact Magnetometric Diagnostics of Potentially Hazardous Sections of Buried and Insulated Pipelines Susceptible to Failure[J].Welding in the World,2017,61(1):107～115.
[24] 唐德东,周鹏.磁记忆技术在管件裂纹检测中的应用[J].仪器仪表学报,2004,25(z3):255～256.
[25] Huang H,Qian Z,Yang C,et al.Magnetic Memory Signals of Ferromagnetic Weldment Induced by Dynamic Bending Load[J].Nondestructive Testing and Evaluation,2017,32(2):166～184.
[26] Li X M,Ding H S,Bai S W.Research on the Stress-Magnetism Effect of Ferromagnetic Materials Based on Three-Dimensional Magnetic Flux Leakage Testing[J].NDT & E International,2014,62(2):50～54.
[27] 柳军,黄陈,陈绍伟,等.金属管道裂纹的磁记忆检测研究[J].机械强度,2015,37(1):160～165.
[28] 邸新杰,李午申,严春妍,等.焊接裂纹金属磁记忆信号的特征提取与应用[J].焊接学报,2006,27(2):19～22.
[29] 易方,李著信,吕宏庆,等.基于模糊核支持向量机的管道磁记忆检测缺陷识别[J].石油学报,2010,31(5):863～866.
[30] 龚利红,李著信,许红,等.基于感知器神经网络的金属磁记忆检测管道缺陷分析[J].机床与液压,2013,41(9):186～188.
[31] Chen N,Lin H,Wang X K.Coupling Method of Magnetic Memory and Eddy Current Nondestructive Testing for Retired Crankshafts[J].Journal of Mechanical Science and Technology,2016,30(7):3097～3104.
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