Solidification microstructure modelling using cellular automaton method

Wang, H. and Li, Q. (2008) Solidification microstructure modelling using cellular automaton method. In: International Conference on Frontiers in Materials Science and Technology (FMST 2008), 26-28 Mar 2008, Brisbane, Australia.

Abstract

A model based on the cellular automaton (CA) technique for the simulation of solidification microstructure has been developed. An improved solid fraction calculating method is used, in which the solid fraction of the interface unit is calculated by temperature compensation method combined with local equilibrium phase diagram. And then, a quadratic equation of solid fraction can be calculated according to the local temperature, solute concentration and curvature. The method avoids the assumption of the position and shape of solid/liquid interface. By using this model on A356 aluminium alloy, a dendrite growth process is simulated. The model can predict the final microstructure both grain size and grain morphology. It also predicts the Si concentration distribution in both solid and liquid phases.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy. Series: Advanced Materials Research v32.
Depositing User: Bulkimport bulkimport
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 13 Jan 2009 17:00
Last Modified: 17 Oct 2014 02:08
Uncontrolled Keywords: microstructure; aluminium alloy; cellular automaton; microstructure modelling; solidification
Fields of Research (FOR2008): 03 Chemical Sciences > 0302 Inorganic Chemistry > 030204 Main Group Metal Chemistry
?? 912 ??
09 Engineering > 0912 Materials Engineering > 091207 Metals and Alloy Materials
09 Engineering > 0904 Chemical Engineering > 090407 Process Control and Simulation
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.4028/www.scientific.net/AMR.32.271
URI: http://eprints.usq.edu.au/id/eprint/15698

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