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Investigation into the effect of nucleation parameters on grain formation during solidification using a cellular automaton-finite control volume method

Published online by Cambridge University Press:  31 January 2011

X. Yao ,
M.S. Dargusch ,
A.K. Dahle ,
C.J. Davidson  and
D.H. StJohn
X. Yao*
Affiliation:
CRC Centre for Metals Manufacturing (CAST) Cooperative Research Centre, School of Engineering, University of Queensland, Brisbane, 4072 QLD, Australia
M.S. Dargusch
Affiliation:
CRC Centre for Metals Manufacturing (CAST) Cooperative Research Centre, School of Engineering, University of Queensland, Brisbane, 4072 QLD, Australia
A.K. Dahle
Affiliation:
CRC Centre for Metals Manufacturing (CAST) Cooperative Research Centre, School of Engineering, University of Queensland, Brisbane, 4072 QLD, Australia
C.J. Davidson
Affiliation:
Commonwealth Scientific and Industrial Research Organization (CSIRO)—Manufacturing Science and Technology, Kenmore, 4069 QLD, Australia
D.H. StJohn
Affiliation:
CRC Centre for Metals Manufacturing (CAST) Cooperative Research Centre, School of Engineering, University of Queensland, Brisbane, 4072 QLD, Australia
*
a)Address all correspondence to this author. e-mail: x.yao@uq.edu.au
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Abstract

A cellular automation (CA) model has successfully been used to model the development of microstructure of an aluminum alloy during solidification to produce detailed structure maps for the solidified alloys. More recently, the application of CA models to practical castings/solidification conditions has attracted increasing research interest. However, the determination of the calculation parameters of any model associated with nucleation is difficult. Accordingly, this work investigates the detailed effect of the six parameters of nucleation on microstructure formation and morphology as well as the grain size by cellular automaton-finite control volume method (CAFVM). The nucleation parameters can be determined or estimated by comparing the calculated and experimental results, which enables a more practical prediction of the microstructure (morphology and grain size).

Keywords

MicrostructureNucleation & growthSimulation
Type
Articles
Information
Journal of Materials Research , Volume 23 , Issue 9 , September 2008 , pp. 2312 - 2325
Copyright
Copyright © Materials Research Society 2008

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References

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