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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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project would suit students with a background in electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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the £65 million Digital Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent hardware. Through collaborations
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Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a student with an aerospace, mechanical engineering, or
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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opportunities for high-impact dissemination at premier conferences (e.g., IEEE S&P, USENIX Security, NeurIPS). Furthermore, Cranfield’s strong industry links provide a direct pathway for technology transfer and
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and
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Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent hardware. Through collaborations with the Aerospace Integration Research Centre (AIRC
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to discover the fundamental mechanisms responsible for damage and deformation. About the host University and Through-life Engineering Services (TES) Centre Cranfield is an exclusively postgraduate university