Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/77990
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Mechanical Engineering | en_US |
dc.creator | Xiao, ZH | en_US |
dc.creator | Hu, SY | en_US |
dc.creator | Luo, JL | en_US |
dc.creator | Shi, SQ | en_US |
dc.creator | Henager Jr, CH | en_US |
dc.date.accessioned | 2018-08-28T01:36:05Z | - |
dc.date.available | 2018-08-28T01:36:05Z | - |
dc.identifier.issn | 0927-0256 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/77990 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_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.rights | The 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.2018.03.011 | en_US |
dc.subject | Crevice corrosion | en_US |
dc.subject | Electrochemical simulation | en_US |
dc.subject | Iron | en_US |
dc.subject | Phase-field modeling | en_US |
dc.title | A quantitative phase-field model for crevice corrosion | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 37 | en_US |
dc.identifier.epage | 48 | en_US |
dc.identifier.volume | 149 | en_US |
dc.identifier.doi | 10.1016/j.commatsci.2018.03.011 | en_US |
dcterms.abstract | A 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Computational materials science, 15 June 2018, v. 149, p. 37-48 | en_US |
dcterms.isPartOf | Computational materials science | en_US |
dcterms.issued | 2018-06-15 | - |
dc.identifier.isi | WOS:000430447800005 | - |
dc.identifier.scopus | 2-s2.0-85043469490 | - |
dc.identifier.rosgroupid | 2017000354 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201808 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0593-n14 | - |
dc.identifier.SubFormID | 417 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | PolyU 152140/14E | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0593-n14_D5_Xiao_quantitative_phase_field.pdf | Pre-Published version | 1.77 MB | Adobe PDF | View/Open |
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