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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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important research area is to understand on how to design and assemble power electronics converters to make a step change on their performance. In this PhD project, we will investigate an approach to embed
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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transparency and explainability of AI decisions is equally important, requiring innovative methods to build trust among stakeholders and ensure compliance with stringent industry standards. Additionally
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make technological advances in more efficient and resilient manufacturing systems that can cope with demands of high value products such as electric batteries. We will also make advances towards
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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involves feeding a metal filler wire, either coaxially or off-axis, into an electric arc to create a molten pool that solidifies on a substrate, enabling the layer-by-layer construction of 3D objects
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resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in
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• To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration • To plan and manage own research
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entitled Diagnostic Discard: Exploration of material values in point-of-care diagnostic sector, funded by an APEX award from the Royal Society. This research project aims to generate critical conversations