Grain Nucleation Parameters for Aluminum Alloys: Experimental Determination and Model Validation
A statistical grain nucleation model was implemented as a part of a multiphase flow and solidification simulation code for metallic alloys. Three characteristic parameters control the solution accuracy of the nucleation model: the total grain density, the mean undercooling, and the standard deviatio...
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Published in | Metallurgical and materials transactions. A, Physical metallurgy and materials science Vol. 40; no. 3; pp. 646 - 653 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Boston
Springer US
01.03.2009
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | A statistical grain nucleation model was implemented as a part of a multiphase flow and solidification simulation code for metallic alloys. Three characteristic parameters control the solution accuracy of the nucleation model: the total grain density, the mean undercooling, and the standard deviation of the undercooling. These parameters were obtained experimentally for grain-refined (GR) A356, GR AlCu4, and unrefined (UR) AlCu4 aluminum alloys. An apparatus was constructed and equipped with a cooling system to provide different cooling rates throughout the cast sample. The local grain density related to each cooling rate and undercooling was determined. The model parameters were obtained
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statistical tools and were used to perform a simulation for the solidification of the cast sample. Calculated results were compared to experimental results, and the model exhibited good agreement with the experiments. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1073-5623 1543-1940 |
DOI: | 10.1007/s11661-008-9738-4 |