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of diverse industrial processes. While mono-material felts offer simplified recyclability, blended fibre felts remain essential for applications requiring enhanced performance, such as high
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance
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. Experimental studies will be performed in wind tunnels with advanced measurement techniques with high spatial and temporal resolutions. Realistic car models (DrivAer models) will be considered in this study and
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the range of activities that academic colleagues may be expected to perform. Key Accountabilities Teaching & Learning To provide high quality teaching and learning and student support Mentor and support
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for pneumonia, 55% of patients visit their GP within 30 days of discharge from hospital while 15% are readmitted to hospital within 30 days of discharge. Despite the high morbidity experienced and
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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, you’ll be developing innovations critical to a greener, more sustainable future. In hydrogen storage and transport, high-performance mechanical seals are essential. These seals prevent gas leakage by