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Numerical Simulation on Effective Detection Region of Field Signature Method-straight Pipeline |
Received:April 16, 2019 Revised:May 02, 2019 |
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DOI:10.7643/issn.1672-9242.2019.11.006 |
KeyWord:field signature method pipe corrosion detection effective detection region numerical simulation |
Author | Institution |
YAO Wan-peng |
School of Materials Science and Engineering Qingdao , China |
WU Cheng-hao |
School of Materials Science and Engineering Qingdao , China |
LI Qiang |
College of Pipeline and Civil Engineering Qingdao , China |
QI Jian-tao |
College of Chemical Engineering, China University of Petroleum East China , Qingdao , China |
TANG Xiao |
School of Materials Science and Engineering Qingdao , China |
LI Yan |
School of Materials Science and Engineering Qingdao , China |
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Abstract: |
Objective To determine the size of the effective detection region when the electric field fingerprint method is applied to the straight pipeline. Methods The COMSOL multi-physics numerical simulation method was adopted to study the electric field distribution characteristics of the straight pipeline model in the detection of FSM and discuss the influences of current input mode, power supply electrode size, pipeline size and other factors on the effective detection area. Results The double-channel current input method can obtain a larger effective detection region, improving the current utilization rate and detection efficiency. The size of the effective detection region was little affected by the size of the power supply electrode and the change of the pipe wall thickness, but was greatly affected by the nominal diameter of the pipeline. The minimum distance between the effective detection region and the power electrode was fixed, which was about 1.5 times of the nominal diameter of the pipe. Conclusion The side of the effective detection zone size can be determined with the electric field fingerprint method, which provides a scientific basis for the establishment of the pipeline detection specification of the electric field fingerprint method. |
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