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A comprehensive theoretical and simulation model for control of nucleation, prediction of as-cast grain size, and design of grain refining technology (2012–2014)

Abstract:
A comprehensive theoretical and simulation model for the control of grain formation (nucleation and growth) and prediction of as-cast grain size will be developed. The ability to promote nucleation lies at the heart of solidification science for the development of microstructure for both as-cast applications and subsequent solid-state processing. Promoting nucleation to achieve a fine uniform defect-free grain structure is of commercial significance due to the large scale production of cast metal products worldwide. A key outcome is a design tool for the development of a new generation of grain refiner master alloys that deliver tailored potency distributions of nucleant particles with alloy chemistry additives, and novel microstructures.
Grant type:
ARC Discovery Projects
Researchers:

  • Professor Kazuhiro Nogita

    Professor
    School of Mechanical and Mining Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council