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Quantitative Characterization of the Spatial Distribution of Corrosion Pits Based on Nearest Neighbor Analysis

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Abass, Adeyinka
dc.contributor.author Wada, Kentaro
dc.contributor.author Matsunaga, Hisao
dc.contributor.author Remes, Heikki
dc.contributor.author Vuorio, Tiina
dc.date.accessioned 2020-09-25T07:05:27Z
dc.date.available 2020-09-25T07:05:27Z
dc.date.issued 2020-09
dc.identifier.citation Abass , A , Wada , K , Matsunaga , H , Remes , H & Vuorio , T 2020 , ' Quantitative Characterization of the Spatial Distribution of Corrosion Pits Based on Nearest Neighbor Analysis ' , Corrosion , vol. 76 , no. 9 . https://doi.org/10.5006/3551 en
dc.identifier.issn 0010-9312
dc.identifier.other PURE UUID: 864e0a62-7004-48b2-9e2e-7b1fea38bd1d
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/quantitative-characterization-of-the-spatial-distribution-of-corrosion-pits-based-on-nearest-neighbor-analysis(864e0a62-7004-48b2-9e2e-7b1fea38bd1d).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/51651886/ENG_Abass_et_al_Quantitative_Characterization_of_the_Spatial_Corrosion.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/46606
dc.description.abstract Nearest neighbor analysis (NNA)-based procedures are proposed for the quantitative characterization of the spatial distribution of corrosion pits in metals. After the exposure of a carbon steel to a 3.5% NaCl solution mist, the results derived from observation of corrosion pit initiation and growth were used to justify the applicability of this approach. The pits initially comprised clusters that were superimposed on a randomly distributed background set. The clustered pits subsequently coalesced, evolving into a more random pit arrangement. Furthermore, it was revealed that in the early stages, the spatial pit distribution can be predicted via inspection of surface inclusions prior to the corrosion process. en
dc.format.extent 10
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher National Association of Corrosion Engineers
dc.relation.ispartofseries Corrosion en
dc.relation.ispartofseries Volume 76, issue 9 en
dc.rights openAccess en
dc.title Quantitative Characterization of the Spatial Distribution of Corrosion Pits Based on Nearest Neighbor Analysis en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Konecranes Global Corporation
dc.contributor.department Kyushu University
dc.contributor.department Marine Technology
dc.contributor.department Häme University of Applied Sciences
dc.contributor.department Department of Mechanical Engineering en
dc.subject.keyword corrosion fatigue
dc.subject.keyword environmental effects
dc.subject.keyword inclusion
dc.subject.keyword pitting corrosion
dc.subject.keyword statistics
dc.subject.keyword steel
dc.subject.keyword LOCALIZED CORROSION
dc.subject.keyword PITTING CORROSION
dc.subject.keyword STAINLESS-STEEL
dc.subject.keyword FATIGUE
dc.subject.keyword SITES
dc.subject.keyword STATISTICS
dc.subject.keyword INITIATION
dc.subject.keyword PARTICLES
dc.identifier.urn URN:NBN:fi:aalto-202009255536
dc.identifier.doi 10.5006/3551
dc.date.embargo info:eu-repo/date/embargoEnd/2020-09-27

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