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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
. The aims of this project are to: Develop a modelling method that resolves interactions between inclusions transported in fluid flows and their capture within a filter using lagrangian and discrete particle
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original functions within a single system: (i) a dielectrophoretic particle filter, (ii) a pH sensor/modifier and an electrochemical oxygen filter, and (iii) a microchannel for electrophoretic separation and
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operation and track its health, recurrent neural networks, particle and/or extended Kalman filters, and inverse parameter estimation methods might be worth exploring. By uncovering the dependency between
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track its health, recurrent neural networks, particle and/or extended Kalman filters, and inverse parameter estimation methods might be worth exploring. By uncovering the dependency between the cell