Predicting the columnar-to-equiaxed transition for a distribution of nucleation undercoolings
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2009
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Resumo |
A deterministic mathematical model for steady-state unidirectional solidification is proposed to predict the columnar-to-equiaxed transition. In the model, which is an extension to the classic model proposed by Hunt [Hunt JD. Mater Sci Eng 1984;65:75], equiaxed grains nucleate according to either a normal or a log-normal distribution of nucleation undercoolings. Growth maps are constructed, indicating either columnar or equiaxed solidification as a function of the velocity of isotherms and temperature gradient. The fields A columnar and equiaxed growth change significantly with the spread of the nucleation undercooling distribution. Increasing the spread Favors columnar solidification if the dimensionless velocity of the isotherms is larger than 1. For a velocity less than 1, however, equiaxed solidification is initially favored, but columnar solidification is enhanced for a larger increase in the spread. This behavior was confirmed by a stochastic model, which showed that an increase in the distribution spread Could change the grain structure from completely columnar to 50% columnar grains. (c) 2008 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. Fundacao de Amparo Pesquisa do Estado de Sao Paulo (FAPESP)[03/08576-7] Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)[475451/2004-0] |
Identificador |
ACTA MATERIALIA, v.57, n.2, p.607-615, 2009 1359-6454 http://producao.usp.br/handle/BDPI/18845 10.1016/j.actamat.2008.10.001 |
Idioma(s) |
eng |
Publicador |
PERGAMON-ELSEVIER SCIENCE LTD |
Relação |
Acta Materialia |
Direitos |
restrictedAccess Copyright PERGAMON-ELSEVIER SCIENCE LTD |
Palavras-Chave | #Columnar-to-equiaxed transition #Directional solidification #Casting #Aluminum alloys #CAST GRAIN-SIZE #AL-TI-B #ALLOY SOLIDIFICATION #MICROSTRUCTURE FORMATION #GROWTH #REFINEMENT #MODEL #ALUMINUM #FRONT #SIMULATION #Materials Science, Multidisciplinary #Metallurgy & Metallurgical Engineering |
Tipo |
article original article publishedVersion |