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summer schools, specialised theme meetings, and innovation and commercialisation sandpits. Description: Composite materials are used in prime and secondary applications such as aerospace, renewable energy
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content distributions from XCT scans for hybrid architecture carbon fibre composites, and subsequently develop a novel material model linking the material’s meso-structure to mechanical properties to create
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from their microstructure rather than composition. The macroscale properties of these materials are determined by the small-scale topological design. These materials have found applications in many
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products. The candidate will first perform data analytics to map the composition of waste-derived feedstocks across domestic and global geographic regions. This will help us examine how seasonality (in
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pristine samples. Secondly, foam recycling will be explored through combinations of the following potential options: using spent foam in new composite materials (e.g. polymer-polymer, polymer-foam or polymer
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[1]. This is principally driven by the unsustainable use of freshwater by people (e.g., for waste removal, industrial and domestic uses, and modern agriculture) [2]. In particular, habitat degradation
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View All Vacancies Engineering Location: UK Other Closing Date: Tuesday 20 August 2024 Reference: ENG1775 Project background: Polycrystals are the building blocks of numerous materials around us
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built upon where machine learning algorithms will be developed to extract material elasticity information, phase and even composition all from a single set of laser ultrasound measurements. Environment
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Photogrammetry, 3D scanning and reverse engineering Creative digital toolmaking 3D printing with bio-composites Innovative hybrid manufacturing (additive and subtractive) Digital design and fabrication
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of this PhD is to use cutting-edge quantum (DFT, DFTB) and classical (machine learnt force fields) atomistic simulations of nanoparticles of relevant size, composition, support, to develop advanced models