Development of Microstructure-Informed Numerical Models of Tungsten Alloys for Application in Extreme Environments

The PhD project in the School of Mechanical and Manufacturing Engineering sponsored by the Australian Nuclear Science and Technology Organisation (ANSTO) will focus on the development of a high-fidelity multi-scale microstructure-informed numerical modelling for the prediction of thermo-mechanical and thermo-physical properties of tungsten alloys for energy, space, and defence applications. The project will develop representative mesoscale models based on the alloy’s microstructural characteristics (grain size, grain orientations, grain boundaries, etc.). The alloy’s behaviour will be then tested via numerical simulations under various environmental (operating) conditions. Due to the computationally expensive nature of multi-scale simulations, the project will also focus on developing high-efficiency machine learning models, which can be used for rapid predictions and optimisation of material parameters governing active deformation and damage mechanisms. The effect of the microstructure on the thermo-physical properties such as thermal diffusivity will be also considered as it can significantly affect the performance of alloys at high operating temperatures. The modelling and complimenting experimental work will further explore the effect of the microstructure and pre-existing (manufacturing) micro-stresses on crack initiation and propagation which often lead to macroscopic failure of components.

Scholarship

• $37,684 per annum (2024 rate, indexed)

Eligibility

• Domestic applicants only

How to apply

Email a copy of your academic transcript and CV to j.kruzic@unsw.edu.au and ondrej.muransky@unsw.edu.au.