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Field
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coupled computational framework capable of predicting crack initiation, propagation, and component failure under realistic operating conditions. Key Objectives: - Develop a finite element-based chemo-thermo
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substrate, enabling the layer-by-layer construction of complex 3D objects. The temperature field created by the interaction between the electric arc and the material is a critical factor influencing the
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each year. Modern applications—from power grids to vehicle platoons—depend on large networks of autonomous subsystems. Without a solid theoretical underpinning, ensuring both collective objectives
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investigate which local biotic and abiotic factors control the extent of LWS-related biodiversity and habitat improvements across a range of different UK river systems. Project aims and objectives Carry out a
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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will be randomised to receive either standard of care (which includes a patient information sheet) or standard of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on
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into car cabins (to reduce the exposure of occupants) and the regions where pollutants accumulate (to be avoided by pedestrians and cyclists) need to be minimised. The PhD objective is to study the effects
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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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of the proposed replacement approaches will form an integral part of the proposed multi-objective optimisation approach. Such a methodology should help asset managers and system operators to make practical
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Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using