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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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the information theoretic measures involved in the operation and monitoring of the grid and characterize the information theoretic limits for state estimation. Funding Notes This is a self-funded research project
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AI-enabled digital technologies for the resilient operation of power systems
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the past has been to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial
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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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significant. This PhD project will explore the capacity of modern wheat cultivars to form effective symbioses with MFRE, and assess their impact on crop performance. It will address three core research
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an emerging waste recovery and treatment technology using advanced gasification processes that can recover the useful materials in the waste in addition to harvesting the energy. Computational modelling will be
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Overview Data Connect is a service within the Research and Innovation IT team in the University’s IT Department. It is focused on supporting researchers to get access to health and social care data for research projects. It is a strategically important service in the University that enables...
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Heat transfer effect on nonlinear disturbances in transitional boundary layers