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team bridging aerospace and materials research, with access to high-performance computing resources and the university’s state-of-the-art materials research facilities, including high-resolution X-ray CT
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mixture ratio has an impact on the performance of the hybrid propellant propulsion system making it hard to optimise. Work at Kingston University has been on the development of imaging techniques using
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understand and characterise the real-world variability of conditions for chain drives in high performance sport. Improving the emulation of race conditions improves the optimisation of components for riders
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that deliver high power density and exceptional efficiency at reasonable cost. However, most existing machines, particularly high-speed, radial-flux permanent magnet motors, are reaching their performance
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alloys), and additive manufacturing to push performance boundaries. The research will seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high
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embrittlement. However, the immiscibility between Cu and W leads to poor bonding, whilst during high temperature manufacturing/operation embrittlement of steel-W joints occurs due to the formation of brittle
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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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platforms at both locations, providing the student with hands-on industrial experience as well as cutting-edge research insight. Description The global drive towards electrification in high-performance
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(transient loads up to ~1 GW/m²). Computational modelling tools will complement the experimental work to guide joining strategies and post-weld heat treatment protocols. The outcomes will support selection
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-Stokes equation are not eligible. Solving the BBGK equation is extremely challenging due to the high computational cost originated from its high-dimensionality. As a deterministic method, the potential