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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
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REFIT and UK-DALE • Implement real-time data streaming simulations for adaptive training and testing • Develop an explainability framework for real-time user feedback • Collaborate with project
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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enable more targeted mitigation measures. Your investigation of this research question will be principally numerical, employing computational fluid dynamics to produce high resolution simulations which
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simulations, covering a range of typical part geometries and deposition strategies, complemented by experimental validation. • Developing an efficient method for converting partial surface temperature data
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innovation and is a unique casting, design, simulation and advanced manufacturing research facility. In recent years successes of the partnership have been recognised through the Bhattacharyya Award (2022) and
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, simulate, and fabricate MEMS sensors that meet these exacting standards, advancing the capabilities of existing sensor technologies. The final phase involves comprehensive testing of the fabricated MEMS
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tailored for the complex demands of modern ultra-efficient propulsion systems. This PhD project will address that gap by creating advanced simulation and design tools to evaluate integrated fuel systems
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine how best to perform the measurements to maximise