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dc.creatorZhang, Weilong
dc.creatorRuan, Shiling
dc.creatorWolfe, D. A.
dc.creatorFrankel, G. S.
dc.date.accessioned2010-05-18T17:32:42Z
dc.date.available2010-05-18T17:32:42Z
dc.date.issued2003
dc.identifier.citationZhang, Weilong; Ruan, Shiling; Wolfe, D. A.; Frankel, G. S. "Statistical model for intergranular corrosion growth kinetics," Corrosion Science, v. 45, no. 2, 2003, pp. 353-370.en_US
dc.identifier.issn0010-938X
dc.identifier.urihttp://hdl.handle.net/1811/45382
dc.description.abstractA statistical model has been developed to predict the anisotropy of intergranular corrosion (IGC) kinetics and effect of microstructure on IGC kinetics in high strength AA2024-T3 alloys. The methodology is to estimate the statistical distribution of minimum IGC path length that will be found through the thickness of a given thickness ST sample using the principle of order statistics. A brick-wall model is adopted for wrought Al alloy microstructure and different distributions of grain dimension are assumed for the purpose of the estimation of total IGC path length. Numerical stimulation using a gamma distribution model stimulated the anisotropy of localized corrosion in AA2024-T3 alloys, which quite agrees with the growth rate anisotropy experimentally determined by the foil penetration technique. Some limitations regarding the statistical model are discussed. The statistical model provides a new approach to predicting and quantifying localized corrosion kinetics on basis of the alloy microstructure.en_US
dc.description.sponsorshipThis work was supported by the United States Air Force Office of Scientific Research through Grant no. F49620-99-1-0103.en_US
dc.language.isoen_USen_US
dc.subjectintergranular corrosion (IGC)en_US
dc.subjectAA2024-T3 alloysen_US
dc.subjectstatistical modelen_US
dc.titleStatistical model for intergranular corrosion growth kineticsen_US
dc.typeArticleen_US
dc.rights.ccAttribution-ShareAlike 3.0 Unporteden_US
dc.rights.ccurihttp://creativecommons.org/licenses/by-sa/3.0/en_US


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