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Optimal Control of Next Generation Aircraft School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications accepted all year round Details Green aviation and Net-zero targets call for significant reductions in the use of...
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Optimal Control of Dynamical Systems with Hysteresis School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications accepted all year round Details Hysteresis describes the phenomenon in which the value of a physical property...
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experimental techniques, such as machine learning, two dimensional gas chromatography, as well as test equipment for quantification of basic physico-chemical properties of aviation fuels. The PhD programme will
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devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. The nodes may be heterogeneous, with varying
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engineering, mathematics, neuroscience, computer science or subjects where signal processing may be applied are encouraged to apply. If you are interested in this project, and are unsure about whether you have
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spectrometry to compare submicron particulate emissions from the different reactors using different fuels and operating regimes. This will consider the particle size spectra, particle measurement programme
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carbon compounds doped with a variety of elements (for example nitrogen, sulphur, selenium). This project will involve the use of the Gaussian 09 program to perform detailed electronic structure modelling
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used, which is typically done for reasons of computational efficiency. The project can also include simulations where in-plane shear is acting on the potential crack plane. Funding Notes 1st or 2:1
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an emerging waste recovery and treatment technology using advanced gasification processes that can recover the useful materials in the waste in addition to harvesting the energy. Computational modelling will be
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. This would reduce both system efficiency and durability. An advanced Computational Fluid Dynamics model will be developed in order to simulate the formation of aerosol, and the process of deposition of fine