University: University of Strathclyde. Supervisor: Dr. Kate Tant. Start date: October 2020.
To ensure optimal creep and fatigue properties of Titanium alloys, it is desirable that their microstructure is fine grained and exhibits no local textures. However, due to the sensitivity of Titanium alloys to manufacturing process parameters, these materials can develop micro-texture regions (MTRs) which present potential sites for the nucleation of cracks, thus making the material more susceptible to fatigue and ultimately reducing the component’s lifespan. Ultrasonic testing (the practice of sending ultrasonic waves through the component and analysing the reflected signals) has already been used to detect the presence of these MTRs but as yet, no method exists which can localise and characterise these defective regions from ultrasonic inspection data. This EngD project will study models of wave propagation in random media using stochastic differential equations and simulation tools to derive relationships between scattered ultrasonic wave data and the spatial variation of the material properties in Titanium alloys. Optimisation techniques will then be developed based on these relationships to tackle the inverse problem of imaging micro-texture regions from ultrasonic phased array data.
The student will be based at the Centre for Ultrasonic Engineering at the University of Strathclyde.
This studentship covers fees at the home/EU rate, a stipend of £16877 per annum and the full technical and professional training programme as part of the FIND CDT.