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treatments of dry fibers, such as UV or atmospheric plasma; the addition of nanoparticles to the resin; and the integration of materials like carbon fibers, carbon nanotubes, carbon black, graphene
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tests of low-emissions concretes Numerical modelling (e.g. modal, FEM, or equivalent) of a concrete FOWT concept (e.g. VolturnUS) under cyclic wave, wind, and current loading for conditions found around
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cyclic loading, varied surface conditions, and exposure to gaseous impurities, and advanced numerical modelling (Finite Element Analysis), this project aims to significantly enhance our understanding
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experimental and modeling approaches. Experimental investigations will be conducted at the University of Manchester, utilizing established rigs to simulate a spectrum of conditions, from single-phase heat
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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an assessment of the part quality; this will involve the development of laser beam processing on specific aerospace materials, and a model to understand the fundamental mechanisms of the process to identify
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electron microscopy image simulations Development of a machine learning model capable of inferring 3D atomic structure from two-dimensional TEM projection images Application of the new approach
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state beyond a certain speed. Although predictions of sub-synchronous vibrations with current codes have shown good correlation with experiments under controlled lab conditions, this was only up to a
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will use advanced unsteady computational fluid dynamic methods for the analysis of coupled intake/fan configurations in crosswind and high-incidence conditions. The research will adopt these methods
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instrumentation for acoustic flow measurements, sensitivity to intake operating conditions and the exploration of data analysis methods to improve the overall measurement system accuracy. It will also include