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Using the Magnetic Anisotropy Method to Determine Hydrogenated Sections of a Steel Pipeline

Author

Listed:
  • Victor I. Bolobov

    (Faculty of Mechanical Engineering, St. Petersburg Mining University, 2, 21st Line, 199106 St. Petersburg, Russia)

  • Il’nur U. Latipov

    (Department of Transport and Storage of Oil and Gas, Faculty of Oil and Gas Engineering, St. Petersburg Mining University, 2, 21st Line, 199106 St. Petersburg, Russia)

  • Valentin S. Zhukov

    (LLC “Ferrologica”, 2A, Komendantskiy Pr., 197227 St. Petersburg, Russia)

  • Gregory G. Popov

    (Department of Transport and Storage of Oil and Gas, Faculty of Oil and Gas Engineering, St. Petersburg Mining University, 2, 21st Line, 199106 St. Petersburg, Russia)

Abstract

The paper deals with a non-destructive method of detecting hydrogenated sections of pipelines, which is based on variations of the level of mechanical stresses generated in the surface layers of the steel pipe material during its hydrogenation. The use of a magnetoanisotropic method based on the phenomenon of metal magnetoelastic anisotropy development, which consists in the variation of the magnetic properties of ferromagnetic materials in direction and magnitude under the influence of mechanical stresses, is proposed as a way to register that variation. Based on the results of tensile testing of carbon steel plates with measurement of the difference in principal mechanical stresses (DPMS) occurring in metal, as well as experiments on electrolytic hydrogenation of specimens with measurement of the DPMS signal, it was confirmed that when steel structures are saturated with hydrogen, tensile stresses are generated in the surface layers, the magnitude of which increases as the concentration of hydrogen increases in the metal. In this case, it is assumed that the indicated dependence between the hydrogen concentration in the metal and the stresses arising as a result of hydrogenation is linear. For the example of lamellar specimens made of pipe low-carbon steel, the possibility of using the magnetoanisotropic method for registering sections of underground pipelines with a high content of hydrogen is substantiated, which can become the basis for a method of diagnosing sections of pipelines with broken insulation for the possibility of their further operation. The scientific novelty of this article is the establishment of a relationship between the hydrogen content in the metal, the stresses that arise in this case, and the change in the magnetic properties of ferromagnetic materials, characterized by the magnitude of the DPMS signal. This study contributes to the understanding of the process of hydrogenation of metals, and may be useful in detecting and preventing damage to gas and oil pipelines caused by hydrogen embrittlement as a cause of stress corrosion.

Suggested Citation

  • Victor I. Bolobov & Il’nur U. Latipov & Valentin S. Zhukov & Gregory G. Popov, 2023. "Using the Magnetic Anisotropy Method to Determine Hydrogenated Sections of a Steel Pipeline," Energies, MDPI, vol. 16(15), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5585-:d:1201669
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    References listed on IDEAS

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    1. Ning Tan & Liang Zhou & Weibo Zheng & Honglin Song & Zhibin Sun & Zhiyin Wang & Guisheng Wang & Guanjun Wang & Liming Zhang & Xingyu Zhou, 2022. "Using Finite Element Method for Stress-Strain Evaluation of Commonly Used Buried Pipelines in Fault," Energies, MDPI, vol. 15(5), pages 1-15, February.
    2. Michal Rajnak & Zan Wu & Bystrik Dolnik & Katarina Paulovicova & Jana Tothova & Roman Cimbala & Juraj Kurimský & Peter Kopcansky & Bengt Sunden & Lars Wadsö & Milan Timko, 2019. "Magnetic Field Effect on Thermal, Dielectric, and Viscous Properties of a Transformer Oil-Based Magnetic Nanofluid," Energies, MDPI, vol. 12(23), pages 1-11, November.
    3. Ilia Beloglazov & Valentin Morenov & Ekaterina Leusheva & Ove T. Gudmestad, 2021. "Modeling of Heavy-Oil Flow with Regard to Their Rheological Properties," Energies, MDPI, vol. 14(2), pages 1-15, January.
    4. Radel Sultanbekov & Ilia Beloglazov & Shamil Islamov & Muk Chen Ong, 2021. "Exploring of the Incompatibility of Marine Residual Fuel: A Case Study Using Machine Learning Methods," Energies, MDPI, vol. 14(24), pages 1-16, December.
    5. Vadim Fetisov & Aleksey V. Shalygin & Svetlana A. Modestova & Vladimir K. Tyan & Changjin Shao, 2022. "Development of a Numerical Method for Calculating a Gas Supply System during a Period of Change in Thermal Loads," Energies, MDPI, vol. 16(1), pages 1-16, December.
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