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Field
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mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will
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. From a fluid dynamics perspective, the newly formed solids can be regarded as particles suspended within the pore-scale flow. The primary objective of this project is to investigate the transport
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(SLA) printing and wind tunnel testing at Aston Martin Aramco Formula One and Manchester Met’s PrintCity. Collaborate with experts in additive manufacturing, fluid dynamics, and data science, producing
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the interaction between the structure of CFM and dynamic performance of the flow. The aim will be achieved through the following objectives: Develop a novel approach to investigate the fluid-solid coupling effect
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- Fundamental of computational fluid dynamics, and experience with CFD software - Methods for design & optimisation - Computer assisted design and prototyping, - Experience with
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to validate computational fluid dynamics modelling to determine drag and vortex-induced vibrations on dSPCs associated with biofouling. Better understanding of the hydrodynamic consequences on dSPCs from key
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will allow us to test how gut-derived immune signals influence joint inflammation
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm