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dc.contributor.authorZhao, Dongdong
dc.contributor.authorXu, Yijiang
dc.contributor.authorGouttebroze, Sylvain
dc.contributor.authorFriis, Jesper
dc.contributor.authorLi, Yanjun
dc.identifier.citationMetallurgical and Materials Transactions A. 2020, 51 (9), 4838-4852.en_US
dc.description.abstractA new numerical modelling approach integrating the Langer and Schwartz approach and log-normal particle size distribution has been developed to depict the precipitation kinetics of age-hardening precipitates in Al alloys. The modelling framework has been implemented to predict the precipitation behavior of the key secondary phases in 6xxx and 7xxx Al alloys subjected to artificial aging. The simulation results are in good agreement with the available experimental data in terms of precipitate number density, radius, and volume fraction. The initial shape parameter of the log-normal size distribution entering the modeling framework turns to play an important role in affecting the later-stage evolution of precipitation. It is revealed that the evolution of size distribution is not significant when a small shape parameter is adopted in the modelling, while an initial large shape parameter will cause substantial broadening of the particle size distribution during aging. Regardless of the magnitude of shape parameter, a broadening of the particle size distribution as predicted by the present model is in agreement with experimental observations. It is also shown that large shape parameter will accelerate the coarsening rate at later aging stage, which induces fast decreasing of number density and increased growth rate of mean/critical radius. A comparison to the Euler-like multi-class approach demonstrates that the integration of more realistic log-normal distribution and Langer and Schwartz model make the present modelling faster and equivalently accurate in precipitation prediction.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleModelling the Age-Hardening Precipitation by a Revised Langer and Schwartz Approach with Log-Normal Size Distributionen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalMetallurgical and Materials Transactions Aen_US
dc.description.localcodeThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creat

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