📖Program Curriculum
Project details
This project aims to develop an AI system able to interpret Acoustic Emission (AE) measurements, for online monitoring and optimisation of industrial processes.
An AE sensor operates by detecting stress waves from a material undergoing deformation with frequency content up to several MHz. An array of AE sensors can detect the degree as well as the location of the micro-mechanism activity within the structure.
For instance, during laser shock surface treatment, AE sensors can be attached to the material surface and stream data to an AI system that analyses and predicts the surface characteristics of the treated material in real time. Reliable in-process monitoring and accurate prediction of the key parameters can enable intelligent process control through an optimisation scheme, improving the efficiency of the process.
The PhD researcher will work within an interdisciplinary research group and benefit from extensive experimental and high-performance computing facilities, including an AE system and an AI workstation.
There could be an opportunity for a fully-funded UK studentship working with a Catapult Centre, where the student could collect AE measurements from the laser shock-based processes. This project is an exciting opportunity for a forward-thinking individual to participate in the study of intelligent process monitoring using AEs.
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