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CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing PhD
MSc and PhD research, and its rolling technology development programme on large-scale additive manufacturing. This project will have close links to EPSRC research programme of Sustainable Additive
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depends on a large amount of good-quality data. Unfortunately, the availability of good-quality data is typically limited for high-value critical assets. To remedy this gap, this PhD project will focus
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its
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used to predict armour performance against threats, known and emerging. Overview Initially, the successful candidate will identify the critical data capture steps for accurate prediction of material
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Though portable IR sensors exist in the market, there is no system currently in place to use these sensors to perform active thermography inspection. This PhD project aims to develop a IoT based
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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Methane is a major greenhouse gas and so contributes to climate change. Cranfield and SLB are offering an iCASE PhD studentship, developing modelling methods to couple with observations of methane