Three-dimensional finite element analysis and research of leakage magnetic field of flake, pit, through-hole defect in petroleum pipelines
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Feng Zhou
received the B.S. degree in power system and its automation from Hefei University of technology, Anhui Province, China, in 1992, and the Ph.D. degree in electric machines and electric apparatus from Harbin institute of technology, Heilongjiang Province, China, in 2005. His research interests include large motor comprehensive physical field simulation, electric power system information and intelligent remote viewing, Intelligent instrument and testing technology, etc.
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Yu Chen
received the B.E. degree in University of Jinan, ShanDong Province, China, in 2019. Since 2020, he has been studying at Shandong University of Science and Technology, majoring in Power System and Automation, master of Engineering. His research direction is electric machine design and manufacture.
received the B.E. degree in Electrical Engineering and Automation from ShanDong jianzhu University, ShanDong Province, China, in 2019. Since 2019, he has been studying at Shandong University of Science and Technology, majoring in Power System and Automation, master of Engineering. His research direction is electric machine design and manufacture.
received the B.S. degree in integrated circuit design and integrated system from Harbin University of Science and Technology, Heilongjiang Province, China, in 2009, and the master’s degree in electrical engineering from Harbin University of Science and Technology, Heilongjiang Province, China, in 2014. From 2014 on, he has been a researcher, Heilongjiang Electric Power Research Institute, Harbin, China. His research interests include electromagnetic calculation and electrical equipment test.
Abstract
Flake, pit and through-hole defects are the three common types of defects in oil pipelines. In practical testing applications, it is necessary to clarify the magnetic leakage characteristics of different defects and set reasonable detection points to distinguish different types of defects accurately and quantify the degree of each defect precisely. In this paper, the leakage magnetic field of flaky, pitted and through-hole tube wall defect is analyzed. Using three-dimensional finite element simulation, the spatial stereo model of leakage magnetic field is inverted by extracting the data of characteristic nodes. The distribution of the leakage magnetic field in space, for the radial and circumferential components is obtained. On this basis, the effect on the main components of magnetic leakage field at different locations in space is determined, and the best of placing a potential sensor for detecting three kinds of defects in space are derived. This provides a basis for determining sensor locations in magnetic leakage detection devices, inverting defect models from multi-sensor data and accurately quantifying the degree of defects.
Abstrakt
An Erdölpipelines gibt es normalerweise drei Fehlerarten, nämlich Schuppenfehler, Grubenfehler und Durchgangslochfehler. Bei praktischen Inspektion und Anwendungen müssen die jeweiligen Eigenschaften des magnetischen Streuflusses von unterschiedlichen Fehlern deutlich geklärt und angemessene Inspektionspunkte festgelegt werden, um die unterschiedlichen Fehlerarten genau zu erkennen sowie das Ausmaß des einzelnen Fehlers richtig zu quantifizieren. In dieser Arbeit wird das magnetische Streuflussfeld des Schuppenfehlers, Grubenfehlers und Durchgangslochfehlers an Pipelines analysiert, die dreidimensionale Finite-Elemente-Simulation verwendet, um Daten der Merkmal-Knoten zu extrahieren und das räumliche dreidimensionale Modell des Streuflussfeldes zu invertieren. Dadurch wird die räumliche Verteilung des magnetischen Streuflussfeldes erhalten, einschließlich der räumlichen Verteilung der radialen und umlaufenden Komponenten. Auf dieser Grundlage wird geklärt, welche Komponenten das magnetische Streuflussfeld an unterschiedlichen Orten im Raum hauptsächlich beeinflussen und die besten Inspektionspositionen für die drei Fehlerarten im Raum werden auch vorgeschlagen, wodurch die Grundlage zur Bestätigung von Sensorstandorten in Inspektionsgeräten des magnetischen Streuflussfeldes, zur Invertierung des Fehlermodells mit Verwendung von Multiplex-Sensordaten und zur genauen Quantifizierung des Ausmaß dess Fehlers gebildet wird.
About the authors
received the B.S. degree in power system and its automation from Hefei University of technology, Anhui Province, China, in 1992, and the Ph.D. degree in electric machines and electric apparatus from Harbin institute of technology, Heilongjiang Province, China, in 2005. His research interests include large motor comprehensive physical field simulation, electric power system information and intelligent remote viewing, Intelligent instrument and testing technology, etc.
received the B.E. degree in University of Jinan, ShanDong Province, China, in 2019. Since 2020, he has been studying at Shandong University of Science and Technology, majoring in Power System and Automation, master of Engineering. His research direction is electric machine design and manufacture.
received the B.E. degree in Electrical Engineering and Automation from ShanDong jianzhu University, ShanDong Province, China, in 2019. Since 2019, he has been studying at Shandong University of Science and Technology, majoring in Power System and Automation, master of Engineering. His research direction is electric machine design and manufacture.
received the B.S. degree in integrated circuit design and integrated system from Harbin University of Science and Technology, Heilongjiang Province, China, in 2009, and the master’s degree in electrical engineering from Harbin University of Science and Technology, Heilongjiang Province, China, in 2014. From 2014 on, he has been a researcher, Heilongjiang Electric Power Research Institute, Harbin, China. His research interests include electromagnetic calculation and electrical equipment test.
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
- Research Articles
- Verzeichnungskorrektur einer omnidirektionalen Kamera durch 3D-Referenzobjekte
- The influence of workpiece surface texture on visual measurement of roughness
- Deploying the high-power pulsed lasers in precision force metrology – Towards SI traceable and practical force quantization by photon momentum
- Quality analysis for condition monitoring of a manufacturing process integrating acoustic processing based on three distinct ML algorithms
- Three-dimensional finite element analysis and research of leakage magnetic field of flake, pit, through-hole defect in petroleum pipelines
- Generation of reproducible and scalable local damage to rolling bearings for the development of condition monitoring systems through the use of laser technology
Articles in the same Issue
- Frontmatter
- Research Articles
- Verzeichnungskorrektur einer omnidirektionalen Kamera durch 3D-Referenzobjekte
- The influence of workpiece surface texture on visual measurement of roughness
- Deploying the high-power pulsed lasers in precision force metrology – Towards SI traceable and practical force quantization by photon momentum
- Quality analysis for condition monitoring of a manufacturing process integrating acoustic processing based on three distinct ML algorithms
- Three-dimensional finite element analysis and research of leakage magnetic field of flake, pit, through-hole defect in petroleum pipelines
- Generation of reproducible and scalable local damage to rolling bearings for the development of condition monitoring systems through the use of laser technology
