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