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Plotkowski, A., Krane, M.J.M. (2016) A continuum grain attachment model for simulations of equiaxed solidification. Computational Materials Science, 124. 238-248 doi:10.1016/j.commatsci.2016.07.029

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Reference TypeJournal (article/letter/editorial)
TitleA continuum grain attachment model for simulations of equiaxed solidification
JournalComputational Materials Science
AuthorsPlotkowski, A.Author
Krane, M.J.M.Author
Year2016 (November)Volume124
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2016.07.029Search in ResearchGate
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Mindat Ref. ID9509944Long-form Identifiermindat:1:5:9509944:8
GUID0
Full ReferencePlotkowski, A., Krane, M.J.M. (2016) A continuum grain attachment model for simulations of equiaxed solidification. Computational Materials Science, 124. 238-248 doi:10.1016/j.commatsci.2016.07.029
Plain TextPlotkowski, A., Krane, M.J.M. (2016) A continuum grain attachment model for simulations of equiaxed solidification. Computational Materials Science, 124. 238-248 doi:10.1016/j.commatsci.2016.07.029
In(n.d.) Computational Materials Science Vol. 124. Elsevier BV

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Plotkowski, A., Krane, M. J. M. (2017) Quantification of Epistemic Uncertainty in Grain Attachment Models for Equiaxed Solidification. Metallurgical and Materials Transactions B, 48 (3). 1636-1651 doi:10.1007/s11663-017-0933-9
Rolchigo, Matthew, Plotkowski, Alex, Belak, James (2021) Sensitivity of cellular automata grain structure predictions for high solidification rates. Computational Materials Science, 196. 110498pp. doi:10.1016/j.commatsci.2021.110498
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Haines, M., Plotkowski, A., Frederick, C.L., Schwalbach, E.J., Babu, S.S. (2018) A sensitivity analysis of the columnar-to-equiaxed transition for Ni-based superalloys in electron beam additive manufacturing. Computational Materials Science, 155. 340-349 doi:10.1016/j.commatsci.2018.08.064
Wu, M., Ludwig, A., Fjeld, A. (2010) Modelling mixed columnar-equiaxed solidification with melt convection and grain sedimentation – Part II: Illustrative modelling results and parameter studies. Computational Materials Science, 50 (1). 43-58 doi:10.1016/j.commatsci.2010.07.006
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Goins, Philip E., Holm, Elizabeth A. (2016) The Material Point Monte Carlo model: A discrete, off-lattice method for microstructural evolution simulations. Computational Materials Science, 124. 411-419 doi:10.1016/j.commatsci.2016.08.017
 
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