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portion of the total emissions to the atmosphere. However, due to the ever increasing demand for electricity, coal will continue to play a key part in meeting this future demand. Therefore, developing
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the development of new numerical strategies, e.g. pioneering the use of the Extended Finite Element Method in the prediction of delamination in composite structures (Curiel Sosa et al., 2018). This will permit you
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experiments combined with mass spectrometry, western-blotting, RNA-seq. experiments Science Graduate School As a PhD student in one of the science departments at the University of Sheffield, you’ll be part of
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: Applications accepted all year round Details Ammonium Nitrate based emulsions are a basic component of many materials deliberately manufactured as explosives, and also of many other industrial chemicals
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oscillation may occur, which may even damage the hardware component to cause high losses. In this project the interaction of flame and acoustic wave will be investigated in a laboratory burner using advanced
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represent the wind in the computational domain. The main contribution of this project will be this last part which is also a very challenging part. Funding Notes 1st or 2:1 degree in Engineering, Materials
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component on this journey and are already having significant impact in the manufacturing industries. Despite this, the implementation of machining Digital Twins has been slow due to the computational burden
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This projects builds on another recent project to model human hand interactions with packaging. The use of finite element techniques will be used to further develop a human hand model with key features to show
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the findings with Computational Fluid Dynamics based modelling work as part of an integrated team. A central aim of the project is to identify successful mitigation strategies and thereby enhance the commercial
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: Applications accepted all year round Details In analyses of failure in composite laminates, extended finite element analyses using Abaqus (or Ansys) might prove convenient for the prediction of transversal