Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method

Abstract Flaws or cracks are one of the major failures in oil and gas pipeline networks. The early detection of these failures is very important for the safety of the industry, and this last requires of analysis for non-destructive testing (NDT), which is reliable, inexpensive and easy to implement....

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Autores principales:	N. J. Montes de Oca-Mora, R. M. Woo-Garcia, R. Juarez-Aguirre, A. L. Herrera-May, A. Sanchez-Vidal, C. A. Ceron-Alvarez, J. Restrepo, I. Algredo-Badillo, F. Lopez-Huerta
Formato:	article
Lenguaje:	EN
Publicado:	Springer 2021
Materias:	Magnetic field Magnetic memory Magnetic sensor Non-destructive testing Phyton Science Q Technology T
Acceso en línea:	https://doaj.org/article/09430a1e8af146b488ad83ba101004d9
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spelling	oai:doaj.org-article:09430a1e8af146b488ad83ba101004d92021-11-08T10:44:22ZMobile robot with failure inspection system for ferromagnetic structures using magnetic memory method10.1007/s42452-021-04833-92523-39632523-3971https://doaj.org/article/09430a1e8af146b488ad83ba101004d92021-11-01T00:00:00Zhttps://doi.org/10.1007/s42452-021-04833-9https://doaj.org/toc/2523-3963https://doaj.org/toc/2523-3971Abstract Flaws or cracks are one of the major failures in oil and gas pipeline networks. The early detection of these failures is very important for the safety of the industry, and this last requires of analysis for non-destructive testing (NDT), which is reliable, inexpensive and easy to implement. In this paper, we propose the development of an embedded prototype mounted on a mobile robot for the inspection of defects in ferromagnetic plates. This prototype has two embedded systems (control and data acquisition), which are based on a microcontroller of 8 and 32 bits, respectively. On the one hand, the first system for control has the logic to govern the sensors and motors that will allow to the robot moves with autonomous way during 45 min. While, the second system presents an algorithm for storing, processing and sending the data obtained from the sensors, being able to measure variations in the magnetic field in the order of 0.1 µT. Magnetic-field reading tests have been carried out on control ASTM A-27 ferromagnetic plates, obtaining experimental response in the 3 axes of the magnetic domains, which is very close to the expected results by the magnetic-flux density model that is calculated from the fields E and B derived from the equations of a Hertz dipole, and developed in the high-level Python programming language. The prototype proposed for NDT can detect geometric defects in the range of millimeters, producing changes in the density of the magnetic field in the order of thousands of µT.N. J. Montes de Oca-MoraR. M. Woo-GarciaR. Juarez-AguirreA. L. Herrera-MayA. Sanchez-VidalC. A. Ceron-AlvarezJ. RestrepoI. Algredo-BadilloF. Lopez-HuertaSpringerarticleMagnetic fieldMagnetic memoryMagnetic sensorNon-destructive testingPhytonScienceQTechnologyTENSN Applied Sciences, Vol 3, Iss 12, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Magnetic field Magnetic memory Magnetic sensor Non-destructive testing Phyton Science Q Technology T
spellingShingle	Magnetic field Magnetic memory Magnetic sensor Non-destructive testing Phyton Science Q Technology T N. J. Montes de Oca-Mora R. M. Woo-Garcia R. Juarez-Aguirre A. L. Herrera-May A. Sanchez-Vidal C. A. Ceron-Alvarez J. Restrepo I. Algredo-Badillo F. Lopez-Huerta Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
description	Abstract Flaws or cracks are one of the major failures in oil and gas pipeline networks. The early detection of these failures is very important for the safety of the industry, and this last requires of analysis for non-destructive testing (NDT), which is reliable, inexpensive and easy to implement. In this paper, we propose the development of an embedded prototype mounted on a mobile robot for the inspection of defects in ferromagnetic plates. This prototype has two embedded systems (control and data acquisition), which are based on a microcontroller of 8 and 32 bits, respectively. On the one hand, the first system for control has the logic to govern the sensors and motors that will allow to the robot moves with autonomous way during 45 min. While, the second system presents an algorithm for storing, processing and sending the data obtained from the sensors, being able to measure variations in the magnetic field in the order of 0.1 µT. Magnetic-field reading tests have been carried out on control ASTM A-27 ferromagnetic plates, obtaining experimental response in the 3 axes of the magnetic domains, which is very close to the expected results by the magnetic-flux density model that is calculated from the fields E and B derived from the equations of a Hertz dipole, and developed in the high-level Python programming language. The prototype proposed for NDT can detect geometric defects in the range of millimeters, producing changes in the density of the magnetic field in the order of thousands of µT.
format	article
author	N. J. Montes de Oca-Mora R. M. Woo-Garcia R. Juarez-Aguirre A. L. Herrera-May A. Sanchez-Vidal C. A. Ceron-Alvarez J. Restrepo I. Algredo-Badillo F. Lopez-Huerta
author_facet	N. J. Montes de Oca-Mora R. M. Woo-Garcia R. Juarez-Aguirre A. L. Herrera-May A. Sanchez-Vidal C. A. Ceron-Alvarez J. Restrepo I. Algredo-Badillo F. Lopez-Huerta
author_sort	N. J. Montes de Oca-Mora
title	Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
title_short	Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
title_full	Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
title_fullStr	Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
title_full_unstemmed	Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
title_sort	mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method
publisher	Springer
publishDate	2021
url	https://doaj.org/article/09430a1e8af146b488ad83ba101004d9
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_version_	1718442585835438080

Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method

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