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this vision. The research would focus on how outputs from a monitoring system can be interpreted to diagnose and classify process problems and how the synergies of a network of sites can be best exploited
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. However practical engineering and environmental flows are generally much more complex than these canonical flows, involving significant ‘non-equilibrium’ processes, which remain very challenging to predict
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to the use of lightweight composites in their designs for almost every component of their aircraft. Resistance to fatigue has become an integral part of the modern design process of fibre composites
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. The process to a great extent relies on the amount of the gas-liquid inter-facial area or films generated over the packing materials. This project will employ Computational Fluid Dynamics (CFD) Techniques
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accidents at data banks through the form of case studies. The expert system will produce a societal index to aid the decision making process on the energy systems’ safety, security level, operability and
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subjected to a typical loading scenario. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including
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/ requirements: Experimental methods, Finite element modelling, computer programming, Manufacturing Please contact Dr Hassan Ghadbeigi (h.ghadbeigi@sheffield.ac.uk) for more details. Funding Notes This project
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for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject. Full details of how to apply can be
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mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https
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processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a