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sectors like aerospace, healthcare, and manufacturing. The convergence of AI with fault-tolerant design principles is transforming traditional maintenance paradigms, leading to more robust and intelligent
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to design and prototype a ground-based automated inspection system capable of detecting complex damage types in composite aircraft structures, such as delamination and lightning strike damage. Leveraging
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, turbomachinery and thermal management. The Centre is also host to the Rolls-Royce University Technology Centre for Aero Systems Design, Integration & Performance, testimony of the Centre’s global visibility and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
and reasoning techniques to support predictive maintenance and asset health monitoring •Design feedback mechanisms that deliver interpretable insights (e.g. alerts, recommendations, confidence scores
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic
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challenging situations. This project offers prospective candidates the flexibility to plan their research focus across a variety of topics, including but not limited to human-centred and personalised foundation
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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Planning and Environmental Impact Assessments (EIA) of water management infrastructure and in current health surveillance systems as well as contribute to providing data for the design of a modelbase
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed