Cargando…

Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure

Weak magnetic detection technology is an effective method to identify stress-induced damage to ferromagnetic materials, and it especially possesses great application potential in long-distance oil and gas pipeline weld crack detection. In the process of pipeline operation, due to internal pressure a...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Bin, Fu, Yanduo, He, Luyao, Geng, Hao, Yang, Lijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919701/
https://www.ncbi.nlm.nih.gov/pubmed/36772185
http://dx.doi.org/10.3390/s23031147
_version_ 1784886888474083328
author Liu, Bin
Fu, Yanduo
He, Luyao
Geng, Hao
Yang, Lijian
author_facet Liu, Bin
Fu, Yanduo
He, Luyao
Geng, Hao
Yang, Lijian
author_sort Liu, Bin
collection PubMed
description Weak magnetic detection technology is an effective method to identify stress-induced damage to ferromagnetic materials, and it especially possesses great application potential in long-distance oil and gas pipeline weld crack detection. In the process of pipeline operation, due to internal pressure and external loads, local stress concentration may be generated, and partial stress concentration may lead to local cracks and expansion of the pipe. In order to improve the accuracy of magnetic signal analysis for ferromagnetic materials under internal pressure, the causes of magnetic signal generation at pipeline welds were analyzed from a microscopic perspective. The distributions of magnetic signals at pipeline welds, weld cracks, and base metal cracks under different internal pressures were numerically analyzed. The variation trends of magnetic signal characteristics, such as peak values of axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K), were analyzed. In addition, experiments were carried out to verify the numerical data. It was revealed that with the elevation of internal pressure, the peak values of the axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K) linearly increased. However, the magnitude and average change of S(K) were larger, which can more directly indicate variations of magnetic signals. The radial growth rate ν(y) of S(K) was 3.24% higher than the axial growth rate ν(x), demonstrating that the radial component of the magnetic signal was more sensitive to variations of stress. This study provided a theoretical and experimental basis for detection of stress-induced damage to long-distance oil and gas pipelines.
format Online
Article
Text
id pubmed-9919701
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99197012023-02-12 Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure Liu, Bin Fu, Yanduo He, Luyao Geng, Hao Yang, Lijian Sensors (Basel) Article Weak magnetic detection technology is an effective method to identify stress-induced damage to ferromagnetic materials, and it especially possesses great application potential in long-distance oil and gas pipeline weld crack detection. In the process of pipeline operation, due to internal pressure and external loads, local stress concentration may be generated, and partial stress concentration may lead to local cracks and expansion of the pipe. In order to improve the accuracy of magnetic signal analysis for ferromagnetic materials under internal pressure, the causes of magnetic signal generation at pipeline welds were analyzed from a microscopic perspective. The distributions of magnetic signals at pipeline welds, weld cracks, and base metal cracks under different internal pressures were numerically analyzed. The variation trends of magnetic signal characteristics, such as peak values of axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K), were analyzed. In addition, experiments were carried out to verify the numerical data. It was revealed that with the elevation of internal pressure, the peak values of the axial and radial components, gradient K, maximum gradient Kmax, and gradient energy factor S(K) linearly increased. However, the magnitude and average change of S(K) were larger, which can more directly indicate variations of magnetic signals. The radial growth rate ν(y) of S(K) was 3.24% higher than the axial growth rate ν(x), demonstrating that the radial component of the magnetic signal was more sensitive to variations of stress. This study provided a theoretical and experimental basis for detection of stress-induced damage to long-distance oil and gas pipelines. MDPI 2023-01-19 /pmc/articles/PMC9919701/ /pubmed/36772185 http://dx.doi.org/10.3390/s23031147 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Bin
Fu, Yanduo
He, Luyao
Geng, Hao
Yang, Lijian
Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title_full Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title_fullStr Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title_full_unstemmed Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title_short Weak Magnetic Internal Signal Characteristics of Pipe Welds under Internal Pressure
title_sort weak magnetic internal signal characteristics of pipe welds under internal pressure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919701/
https://www.ncbi.nlm.nih.gov/pubmed/36772185
http://dx.doi.org/10.3390/s23031147
work_keys_str_mv AT liubin weakmagneticinternalsignalcharacteristicsofpipeweldsunderinternalpressure
AT fuyanduo weakmagneticinternalsignalcharacteristicsofpipeweldsunderinternalpressure
AT heluyao weakmagneticinternalsignalcharacteristicsofpipeweldsunderinternalpressure
AT genghao weakmagneticinternalsignalcharacteristicsofpipeweldsunderinternalpressure
AT yanglijian weakmagneticinternalsignalcharacteristicsofpipeweldsunderinternalpressure