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Field
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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collaborates with prestigious global companies and institutions. This PhD project, a collaboration between AMADE and Btechc, addresses the high computational cost of modelling failure in large-scale composite
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exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD project aims to develop state-of-the-art
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international conferences. This project is ideal for students interested in advanced composite materials, structural/solid mechanics, sustainable structures, and material modelling. It provides a balanced
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Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing
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The SCS department at UT's Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) advances semantic modelling, cybersecurity, and service design to enable meaningful computing
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-based wax composites that can be used in heat storage systems. Information Solving some of our major societal challenges related to climate, energy and sustainability will require a significant reduction
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for the UK offshore wind sector, as set out in the Offshore Wind Industrial Growth Plan. The manufacturing process involves the infusion of resin into a mould to form a composite structure with glass or
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facilities and competences covering the whole chain of manufacturing, characterization, mechanical testing and modelling of fibre composites. Responsibilities and qualifications Do you have a strong research
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low-cost PCM composites the RecyWax+ project combines multi-physics modelling approaches and physical experimentation of the thermal properties of the PCM composite. Throughout, theory is validated by