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@lancaster.ac.uk with: a current copy of your CV; a covering letter explaining your motivation for applying to the programme; an up-to-date copy of the degree courses you have studied including marks awarded
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to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing
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model to understand the dominant physics in the drying process. Develop a well-documented open-source code to simulate a suitable reduced problem of the drying process. Generate a database quantifying
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will be done by comparing the results with the existing failure theories. The theoretical mathematical representation will further be used to develop a gear testing simulation. This simulation will test
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stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in