Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77990
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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorXiao, ZHen_US
dc.creatorHu, SYen_US
dc.creatorLuo, JLen_US
dc.creatorShi, SQen_US
dc.creatorHenager Jr, CHen_US
dc.date.accessioned2018-08-28T01:36:05Z-
dc.date.available2018-08-28T01:36:05Z-
dc.identifier.issn0927-0256en_US
dc.identifier.urihttp://hdl.handle.net/10397/77990-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2018 Elsevier B.V. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Xiao, Z. H., Hu, S. Y., Luo, J. L., Shi, S. Q., & Henager Jr, C. H. (2018). A quantitative phase-field model for crevice corrosion. Computational Materials Science, 149, 37-48 is available at https://doi.org/10.1016/j.commatsci.2018.03.011en_US
dc.subjectCrevice corrosionen_US
dc.subjectElectrochemical simulationen_US
dc.subjectIronen_US
dc.subjectPhase-field modelingen_US
dc.titleA quantitative phase-field model for crevice corrosionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage37en_US
dc.identifier.epage48en_US
dc.identifier.volume149en_US
dc.identifier.doi10.1016/j.commatsci.2018.03.011en_US
dcterms.abstractA quantitative phase-field model is developed for the investigation of crevice corrosion of iron in salt water. Six types of ionic species and some associated chemical reactions have been considered. In addition to the transient distributions of ion concentrations and electric potential in the electrolyte, some physical and chemical properties related to corrosion, such as overpotential, pH value and corrosion rate, under different metal potentials are studied. Benchmarking of the phase-field model against a sharp interface model is conducted. The corrosion rates predicted by the models are in the same order of magnitudes with experimental results.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputational materials science, 15 June 2018, v. 149, p. 37-48en_US
dcterms.isPartOfComputational materials scienceen_US
dcterms.issued2018-06-15-
dc.identifier.isiWOS:000430447800005-
dc.identifier.scopus2-s2.0-85043469490-
dc.identifier.rosgroupid2017000354-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201808 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0593-n14-
dc.identifier.SubFormID417-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextPolyU 152140/14Een_US
dc.description.pubStatusPublisheden_US
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