Integrating AI-Driven Optimisation and High-Fidelity Laser-Fluid-Structure Interaction Modelling

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Please consider this before applying.

Laser-material-fluid interactions involve complex multi-physics phenomena. Ray-tracing and discrete particle models accurately simulate laser energy deposition and scattering within heterogeneous materials. These interactions induce rapid phase transitions (melting, vaporisation, and resolidification), while triggering localised chemical reactions. Concurrently, fluid dynamics govern melt pool behaviour, spatter formation, and vapour plume dynamics, all critical to process stability and final material properties.

The coupling of laser energy with matter drives intense thermal gradients, fluid flow, and solute transport. Solid fluid interactions, including Marangoni convection and keyhole dynamics, dominate microstructure evolution. Modelling these phenomena (which incorporates phase change and reaction kinetics) is essential for advancing laser-based manufacturing, from additive manufacturing to precision ablation.

Underwater laser cutting involves complex multi-physics interactions. This project will model compressible gas-jet dynamics using shock-capturing methods for hyperbolic systems, with nozzle optimisation via generative adversarial networks. Laser-workpiece interaction will be simulated using ray-tracing and discrete particle models, coupled with VOF-based interface capturing to resolve multiphase melt dynamics.

Phase transitions and chemical reactions will be modelled using AI-interpolated equations of state and reactive transport simulations. The integration of these advanced computational techniques will enable high-fidelity prediction of cutting front stability, kerf quality, and process efficiency in subaqueous environments, providing a foundation for next-generation underwater repair and decommissioning technologies.

Decisions will be based on academic merit. The successful applicant should have, or expect to obtain, a UK Honours Degree at 2.1 (or equivalent) in Physics, Mathematics, Computer Sciences or Mechanical/ Chemical Engineering.

Application Procedure:

Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php.

You should apply for PhD in Engineering to ensure your application is passed to the correct team for processing.

Please clearly note the name of the lead supervisor and project titleon the application form. If you do not include these details, it may not be considered for the studentship.

Your application must include: A personal statement, an up-to-date copy of your academic CV, and clear copies of your educational certificates and transcripts.

Please note: you do not need to provide a research proposal with this application.

Informal enquiries can be made by contacting Dr J Gomes at jefferson.gomes@abdn.ac.uk. If you require any additional assistance in submitting your application or have any queries about the application process, please don't hesitate to contact us at researchadmissions@abdn.ac.uk

Funding Notes

This is a self-funding project open to students worldwide. Our typical start dates for this programme are February or October.

Fees for this programme can be found here Finance and Funding | Study Here | The University of Aberdeen

Additional research costs / bench fees of £3,500 will be required in addition to tuition fees and living expenses.