Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43

This study develops a three-dimensional automated detection framework (PitScan) that systematically evaluates the severity and phenomenology of pitting corrosion. This framework uses a python-based algorithm to analyse microcomputer-tomography scans (μCT) of cylindrical specimens undergoing corrosio...

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Autores principales:	Kerstin van Gaalen, Felix Gremse, Felix Benn, Peter E. McHugh, Alexander Kopp, Ted J. Vaughan
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2022
Materias:	Magnesium Corrosion Degradation Micro-computer-tomography Pit detection Automatization Materials of engineering and construction. Mechanics of materials TA401-492 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/062a2aa6b67341c0addc68a0dca0013e
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spelling	oai:doaj.org-article:062a2aa6b67341c0addc68a0dca0013e2021-11-04T04:35:49ZAutomated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE432452-199X10.1016/j.bioactmat.2021.06.024https://doaj.org/article/062a2aa6b67341c0addc68a0dca0013e2022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2452199X21003108https://doaj.org/toc/2452-199XThis study develops a three-dimensional automated detection framework (PitScan) that systematically evaluates the severity and phenomenology of pitting corrosion. This framework uses a python-based algorithm to analyse microcomputer-tomography scans (μCT) of cylindrical specimens undergoing corrosion. The approach systematically identifies several surface-based corrosion features, enabling full spatial characterisation of pitting parameters, including pit density, pit size, pit depth as well as pitting factor according to ASTM G46-94. Furthermore, it is used to evaluate pitting formation in tensile specimens of a Rare Earth Magnesium alloy undergoing corrosion, and relationships between key pitting parameters and mechanical performance are established. Results demonstrated that several of the parameters described in ASTM G46-94, including pit number, pit density and pitting factor, showed little correlation to mechanical performance. However, this study did identify that other parameters showed strong correlations with the ultimate tensile strength and these tended to be directly linked to the reduction of the cross-sectional area of the specimen. Specifically, our results indicate, that parameters directly linked to the loss of the cross-sectional area (e.g. minimum material width), are parameters that are most suited to provide an indication of a specimen's mechanical performance. The automated detection framework developed in this study has the potential to provide a basis to standardise measurements of pitting corrosion across a range of metals and future prediction of mechanical strength over degradation time.Kerstin van GaalenFelix GremseFelix BennPeter E. McHughAlexander KoppTed J. VaughanKeAi Communications Co., Ltd.articleMagnesiumCorrosionDegradationMicro-computer-tomographyPit detectionAutomatizationMaterials of engineering and construction. Mechanics of materialsTA401-492Biology (General)QH301-705.5ENBioactive Materials, Vol 8, Iss , Pp 545-558 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Magnesium Corrosion Degradation Micro-computer-tomography Pit detection Automatization Materials of engineering and construction. Mechanics of materials TA401-492 Biology (General) QH301-705.5
spellingShingle	Magnesium Corrosion Degradation Micro-computer-tomography Pit detection Automatization Materials of engineering and construction. Mechanics of materials TA401-492 Biology (General) QH301-705.5 Kerstin van Gaalen Felix Gremse Felix Benn Peter E. McHugh Alexander Kopp Ted J. Vaughan Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
description	This study develops a three-dimensional automated detection framework (PitScan) that systematically evaluates the severity and phenomenology of pitting corrosion. This framework uses a python-based algorithm to analyse microcomputer-tomography scans (μCT) of cylindrical specimens undergoing corrosion. The approach systematically identifies several surface-based corrosion features, enabling full spatial characterisation of pitting parameters, including pit density, pit size, pit depth as well as pitting factor according to ASTM G46-94. Furthermore, it is used to evaluate pitting formation in tensile specimens of a Rare Earth Magnesium alloy undergoing corrosion, and relationships between key pitting parameters and mechanical performance are established. Results demonstrated that several of the parameters described in ASTM G46-94, including pit number, pit density and pitting factor, showed little correlation to mechanical performance. However, this study did identify that other parameters showed strong correlations with the ultimate tensile strength and these tended to be directly linked to the reduction of the cross-sectional area of the specimen. Specifically, our results indicate, that parameters directly linked to the loss of the cross-sectional area (e.g. minimum material width), are parameters that are most suited to provide an indication of a specimen's mechanical performance. The automated detection framework developed in this study has the potential to provide a basis to standardise measurements of pitting corrosion across a range of metals and future prediction of mechanical strength over degradation time.
format	article
author	Kerstin van Gaalen Felix Gremse Felix Benn Peter E. McHugh Alexander Kopp Ted J. Vaughan
author_facet	Kerstin van Gaalen Felix Gremse Felix Benn Peter E. McHugh Alexander Kopp Ted J. Vaughan
author_sort	Kerstin van Gaalen
title	Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
title_short	Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
title_full	Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
title_fullStr	Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
title_full_unstemmed	Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43
title_sort	automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - we43
publisher	KeAi Communications Co., Ltd.
publishDate	2022
url	https://doaj.org/article/062a2aa6b67341c0addc68a0dca0013e
work_keys_str_mv	AT kerstinvangaalen automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43 AT felixgremse automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43 AT felixbenn automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43 AT peteremchugh automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43 AT alexanderkopp automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43 AT tedjvaughan automatedexsitudetectionofpittingcorrosionanditseffectonthemechanicalintegrityofrareearthmagnesiumalloywe43
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Automated ex-situ detection of pitting corrosion and its effect on the mechanical integrity of rare earth magnesium alloy - WE43

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