Application of electromagnetic method in magnetic memory testing of buried pipelines

doi:10.16265/j.cnki.issn1003-3033.2019.06.020

Abstract

Abstract: In order to improve the accuracy of magnetic memory testing of buried pipelines and reduce the interference of external factors on magnetic memory signals, the effect of electromagnetic method on buried pipelines' magnetic memory is studied by using enhanced magnetic memory detection technology. Firstly, based on the analysis of the magnetization principle of pipelines, the change of magnetization intensity along with that of external magnetic fields was analyzed. Then, a computational model for the gradient modulus of magnetic induction intensity applied to buried pipelines by electromagnetic method was established, and the influence of current on gradient modulus of magnetic induction intensity was analyzed. Finally, the electromagnetic method was used in the magnetic memory testing of some buried pipelines, and its testing results were compared with the results under the geomagnetic field. The results show that the growth rate of pipelines' magnetization intensity is larger under the geomagnetic field, and the application of electromagnetic method can strengthen pipelines' magnetization and increase magnetic induction gradient modulus of the defect, which can highlight the characteristics of the magnetic memory signal at the defect and suppress the influence of interference factors, therefore improving the magnetic memory testing sensibility of buried pipelines.

Key words: pipeline defect, magnetic memory testing, magnetization principle, electromagnetic method, interference factor

CLC Number:

X924.2

LI Zhongji, LI Changjun, CHENG Tingting, HE Yufa. Application of electromagnetic method in magnetic memory testing of buried pipelines[J]. China Safety Science Journal, 2019, 29(6): 122-127.

References

[1] 李琴, 席御僖, 黄志强, 等. 腐蚀缺陷管道评价标准保守性对比分析[J]. 中国安全生产科学技术, 2015, 11(1): 151-155.
LI Qin, XI Yuxi, HUANG Zhiqiang, et al. Comparative analysis on conservatism of evaluation standards for pipelines with corrosion defects[J]. Journal of Safety Science and Technology, 2015, 11(1): 151-155.
[2] 张启波, 贾颖, 闫晓静. 石油天然气长输管道危险性分析[J]. 中国安全科学学报, 2008, 18(7): 134-138.
ZHANG Qibo, JIA Ying, YAN Xiaojing. Hazard analysis of long-distance oil and gas pipelines[J]. China Safety Science Journal, 2008, 18(7): 134-138.
[3] 冷建成, 张经纬, 高雅田. 基于休哈特控制图的磁记忆早期损伤检测方法[J]. 中国安全科学学报, 2017, 27(2): 81-85.
LENG Jiancheng, ZHANG Jingwei, GAO Yatian. Magnetic memory detection method for early damage based on Shewhart control chart[J]. China Safety Science Journal, 2017, 27(2): 81-85.
[4] 雷晓青. 油气管道无损检测方法选择[J]. 石油工业技术监督, 2013, 29(7): 28-30.
LEI Xiaoqing. Selection of nondestructive testing methods for oil and gas pipelines [J]. Technology Supervision in Petroleum Industry, 2013, 29(7): 28-30.
[5] 冷建成, 徐敏强, 邢海燕. 铁磁构件磁记忆检测技术的研究进展[J]. 材料工程, 2010(11): 88-93.
LENG Jiancheng, XU Minqiang, XING Haiyan. Research progress of metal magnetic memory testing technique in ferromagnetic components[J]. Journal of Materials Engineering, 2010(11): 88-93.
[6] 张静, 周克印, 姚恩涛,等. 改进的金属磁记忆检测方法的探讨[J]. 理化检验:物理分册, 2004, 40(4): 183-186.
ZHANG Jing, ZHOU Keyin, YAO Entao, et al. A preliminary study on improved testing method based on metal magnetic memory effect[J]. Physical Testing and Chemical Analysis: Physical Testing, 2004, 40(4): 183-186.
[7] 刘志峰, 费志洋, 黄海鸿,等. 激励磁场对力磁耦合作用的强化机制研究[J]. 中国机械工程,2018, 29(9):1 108-1 114,1 126.
LIU Zhifeng, FEI Zhiyang, HUANG Haihong, et al. Study on strengthening mechanism of excitation magnetic field to stress-magnetization coupling effects[J]. China Mechanical Engineering, 2018, 29(9):1 108-1 114,1 126.
[8] 张卫民, 邱忠超, 于霞,等. 利用强化磁激励场提高磁记忆检测灵敏度的可行性分析[J]. 中国机械工程, 2015, 26(24): 3 375-3 378.
ZHANG Weimin, QIU Zhongchao, YU Xia, et al. Feasibility analyses of improving magnetic memory testing sensibility by strengthening magnetic excitation field[J]. China Mechanical Engineering, 2015, 26(24): 3 375-3 378.
[9] 邱忠超, 张卫民, 于霞,等. 强化磁激励条件下磁记忆检测试验研究[J]. 制造技术与机床, 2014(10): 21-24.
QIU Zhongchao, ZHANG Weimin, YU Xia, et al. Magnetic memory testing research under enhanced magnetic excitation[J]. Manufacturing Technology & Machine Tool, 2014(10): 21-24.
[10] 钱康. 基于金属磁记忆的无损检测研究[D]. 重庆: 重庆大学, 2017.
QIAN Kang. Research on nondestructive testing based on metal magnetic memory[D]. Chongqing: Chongqing University, 2017.
[11] JILES D C. Theory of the magnetomechanical effect[J]. Journal of Physics D: Applied Physics, 1995, 28(8): 1 537-1 546.
[12] 宋凯, 陈超, 康宜华,等. 基于U形磁轭探头的交流漏磁检测法机理研究[J]. 仪器仪表学报, 2012, 33(9): 1 980-1 985.
SONG Kai, CHEN Chao, KANG Yihua, et al. Mechanism study of AC-MFL method using U-shape inducer[J]. Chinese Journal of Scientific Instrument, 2012, 33(9): 1 980-1 985.
[13] 席御僖. 埋地管道防腐层破损点电磁法检测磁场分布特性仿真研究[D]. 成都: 西南石油大学, 2015.
XI Yuxi. Simulation study on magnetic field distribution of electromagnetic detection for buried pipeline coating defects[D]. Chengdu: Southwest Petroleum University, 2015.
[14] SABLIK M J, RIELY L A. Micromagnetic model for biaxial stress effects on magnetic properties[J]. Journal of Magnetism and Magnetic Materials, 1994, 132(1): 131-148.
[15] 吴德会, 刘志天, 王晓红,等. 表面缺陷的方向性对漏磁场分布的影响[J]. 物理学报, 2017, 66(4): 266-276.
WU Dehui, LIU Zhitian, WANG Xiaohong, et al. Mechanism analysis of influence of surface-breaking orientation on magnetic leakage field distribution[J]. Acta Physica Sinica, 2017, 66(4): 266-276.
[16] LI Changjun, CHEN Chao, LIAO Kexi, et al. Theoretical research on the characteristics of the self-magnetic leakage field induced by ferromagnetic pipelines[J]. Insight: Non-Destructive Testing and Condition Monitoring, 2016, 58(11): 601-608.