期刊文献+

基于磁记忆方法的油气管道内检测试验研究 被引量:5

An experimental study of magnetic memory-based oil-gas pipeline internal detection
下载PDF
导出
摘要 管道内检测技术是应用最为广泛的维护管道安全性与完整性的有效方法。鉴于目前管道内检测采用超声波、漏磁检测方法对于管道损伤评价存在的局限性,提出采用金属磁记忆方法进行检测。金属磁记忆方法通过记录地磁场作用下的金属构件表面的漏磁场信息,可对构件微观缺陷和应力与变形集中区进行辨别。应用自主研发的610mm管道磁记忆内检测装置进行了现场牵拉试验研究。结果表明,所设计的内检测装置具有良好的可靠性与管道通过性,并能通过多通道数据分辨出不同类型的缺陷特征,采用磁记忆方法进行管道内检测在技术上是可行的,具有良好的开发应用前景。 The technology of pipeline internal detection is a most widely used and effective method to maintain pipeline safety and integrity.Considering the limitation existing in the application of supersonic and magnetic leakage detection in current pipeline detection to evaluate pipeline damage,a kind of detection adopting the metal magnetic memory method was suggested.The metal magnetic memory method can identify the micro-defects and stress and deformation concentration area of components by recording the information of leakage magnetic field on the metal component surface which is subject to the effect of earth magnetic field.The independently developed 610 mm pipeline magnetic memory internal detection device was applied to conduct a field draw-off experimental study.The result shows that the designed internal detection device has a high operability and reliability and it can identify the defect characteristics of different types by means of multi-channel data.Application of the magnetic memory method to conduct pipeline internal detection is technologically feasible.It has a bright prospect of development and application.
出处 《石油机械》 北大核心 2010年第5期1-4,103,共4页 China Petroleum Machinery
基金 国家863计划资助课题"基于强磁记忆效应的管道损伤检测及评价关键技术"(2006AA06Z238)
关键词 磁记忆 油气管道 内检测 漏磁检测 magnetic memory,oil-gas pipeline,internal detection,magnetic leakage detection
  • 相关文献

参考文献6

  • 1宋生奎,宫敬,才建,胡利明.油气管道内检测技术研究进展[J].石油工程建设,2005,31(2):10-14. 被引量:61
  • 2Crouch A E, Beuker T. In-Line Stress Measurement by the Continuous Barkhausen Method [ C ] . Proceedings of IPC 2004 International Pipeline Conference, October 4-8, 2004, Calgary, Alberta, Canada.
  • 3Beuker T, Brockhaus S, Ahlbrink R, et al. Addressing Challenging Environments - Advanced In - Line Inspection Solutions for Gas Pipelines [ C ] . Proceedings of the 24th World Gas Conference, October 5 -9, 2009, Buenos Aires, Argentina.
  • 4Babbar V, Shiari B, Clapham L. Mechanical Damage Detection with Magnetic Flux Leakage Tools: Modeling the Effect of Localized Residual Stresses [J]. IEEE Transactions on Magnetics, 2004, 40 (1): 43-48.
  • 5张卫民,董韶平,张之敬.金属磁记忆检测技术的现状与发展[J].中国机械工程,2003,14(10):892-896. 被引量:79
  • 6贾运行,张来斌,樊建春.多支撑轮式管道机器人运动仿真[J].石油机械,2009,37(8):39-41. 被引量:10

二级参考文献31

  • 1白象忠.磁弹性、热磁弹性理论及其应用[J].力学进展,1996,26(3):389-406. 被引量:65
  • 2郭凤,许冯平,邓宗全,彭敏.管道机器人弯道处驱动力研究[J].哈尔滨工业大学学报,2006,38(8):1264-1266. 被引量:14
  • 3沈建中 黎连修.超声无损检测的进展[J].无损检测,1998,20(2):31-33.
  • 4Choi H R, Ryew S M. Robotic system with active steering capability for internal inspection of urban gas pipelines [J] .Mechatronics, 2002, 12 (5): 713 - 736.
  • 5K.Maslov,T. Kundu.Selection of lamb modes for detecting internal defects in composite laminates[J].Ultrasonics, 1997(35): 141-150.
  • 6Michael J.Quarry,Joseph L. Rose. Multimode guided wave inspection of piping using comb transducers [J].Material Evaluation, 1999 (31 ):1089-1090.
  • 7Tsutomu Hoshimiya. Nondestructive evaluation of surface defects under dry/wet environment by the use of photacoustic and photothermal electrochemical imaging[J]. NDT & E International, 1999(32):133-137.
  • 8吴荫顺 方智 曹备.腐蚀试验方法与防腐蚀检测技术[M].北京:化学工业出版社,1996..
  • 9Tillack G R, NockemanmC, Bellon C. X-ray modeling for industrial applications[J]. NDT & E International,2002(33): 481-488.
  • 10Gayer A, Saya A, Shiloh A. Automatic recognition of welding defects in real-time radiography[J]. NDT & E International, 1990(3): 133-136.

共引文献146

同被引文献32

引证文献5

二级引证文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部