Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41524-021-00524-6
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dc.titlePhase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening
dc.contributor.authorYang, Min
dc.contributor.authorWang, Lu
dc.contributor.authorYan, Wentao
dc.date.accessioned2022-10-13T06:46:10Z
dc.date.available2022-10-13T06:46:10Z
dc.date.issued2021-04-28
dc.identifier.citationYang, Min, Wang, Lu, Yan, Wentao (2021-04-28). Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening. npj Computational Materials 7 (1) : 56. ScholarBank@NUS Repository. https://doi.org/10.1038/s41524-021-00524-6
dc.identifier.issn2057-3960
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233062
dc.description.abstractA three-dimensional phase-field model is developed to simulate grain evolutions during powder-bed-fusion (PBF) additive manufacturing, while the physically-informed temperature profile is implemented from a thermal-fluid flow model. The phase-field model incorporates a nucleation model based on classical nucleation theory, as well as the initial grain structures of powder particles and substrate. The grain evolutions during the three-layer three-track PBF process are comprehensively reproduced, including grain nucleation and growth in molten pools, epitaxial growth from powder particles, substrate and previous tracks, grain re-melting and re-growth in overlapping zones, and grain coarsening in heat-affected zones. A validation experiment has been carried out, showing that the simulation results are consistent with the experimental results in the molten pool and grain morphologies. Furthermore, the grain refinement by adding nanoparticles is preliminarily reproduced and compared against the experimental result in literature. © 2021, The Author(s).
dc.publisherNature Research
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentCOLLEGE OF DESIGN AND ENGINEERING
dc.description.doi10.1038/s41524-021-00524-6
dc.description.sourcetitlenpj Computational Materials
dc.description.volume7
dc.description.issue1
dc.description.page56
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