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A 3D stochastic mesoscopic model for prediction ofmicrostructure evolution during solidification of dendritic alloys

Published online by Cambridge University Press:  02 May 2014

Laurentiu Nastac
Laurentiu Nastac*
Affiliation:
The University of Alabama, Department of Metallurgical and Materials Engineering, Box 870202, Tuscaloosa, AL, 35487, USA. e-mail: [email protected]
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Abstract

A comprehensive three-dimensional (3D) stochastic model for simulating the evolution ofdendritic crystals during the solidification of binary alloys was developed. Themulti-scale model takes into account all the length scales (e.g., macro, micro- andmeso-scales) required to accurately predict the evolution of dendritic morphologies duringsolidification of alloys. The model includes time-dependent computations for temperaturedistribution, solute redistribution in the liquid and solid phases, curvature, and growthanisotropy. Stochastic models previously developed for simulating dendritic grains in 2Dwere modified to control the nucleation and growth of dendrites in 3D. 3D mesoscopiccomputations at the dendrite tip length scale were performed to simulate the evolution ofcolumnar and equiaxed dendritic morphologies including segregation patterns and comparedthen with predictions based on 2D mesoscopic computations.

Keywords

3D stochastic mesoscopic modelingCastingSolidification processingDendritic microstructure evolutionSegregation patterns
Type
Research Article
Information
Metallurgical Research & Technology , Volume 111 , Issue 5 , 2014 , pp. 311 - 319
Copyright
© EDP Sciences 2014

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