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/cooling structures. (ii) Understanding the microstructural evolution of metal-ceramic interfaces under irradiation. (iii) Mapping metal-ceramic interface failure when exposed to steady-state (up to ~50 MW
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CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with development of high strength aluminium alloys designed to provide better performance
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specimens with controlled variations of impurity elements (e.g., Cu, Ni, Sn, Sb, Mo) to assess their impact on microstructure and mechanical properties. The ability to generate thousands of unique
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of interest, including the effect of microstructure on the fatigue performance. This includes both solid sections and hollow extruded products. The additional interest in alloys with lower embedded CO2 levels
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spherical tokamak with high-temperature superconducting (HTS) magnet technology. However, the compact design of a spherical tokamak places the fusion plasma in close proximity to a critical component known as
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MATERIALS SCIENCE & ENGINEERING: FULLY FUNDED EPSRC PHD STUDENTSHIP IN MATERIALS ENGINEERING (RS788)
6xxx series alloys is also unknown. Fatigue behaviour is known to be sensitive to microstructure and the increased levels of elements known to influence material behaviour (Fe, Si, Mn etc.) is likely to
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questions that will be addressed are: 1) How do the additional alloying elements added to Alloy A influence its microstructure and hence irradiation behaviour. 2) What is the chemical composition
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framework exploiting the use of physical and geometrical conservation laws in a variety of spatial discretisation schemes (i.e. Finite Element, Finite Volume, Meshless). The resulting conservation-type
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meromorphic functions is connected, and that each component of any attracting basin contains only finitely many critical points, counting multiplicity. Is the Julia set locally connected (again in analogy with
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images