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when we apply them to the CFD problem of simulating the sloshing motion of a fluid within a moving tank. The purpose of these experiments will be to identify the hardware/software interactions
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the viewpoint of the social and philosophical studies of science. About the FairCFD project Over the past seven decades, Computational Fluid Dynamics (CFD) has enabled increasingly efficient industrial processes
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loads, resulting in highly nonlinear coupled hydrodynamic and structural behaviors. High-fidelity CFD-FEA based FSI simulations provide valuable insight but remain computationally expensive for large
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modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
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other partners within this project. In case a (moving of fixed) bed is chosen, a coarse-grained CFD-DEM model or an Eulerian model will be developed, possibly making use of correlations from particle
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climate control to direct crop-centric control. This paradigm shift relies on breakthroughs in microclimate sensing, interpreting crop performance by integrating sensor data at different temporal and
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization
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building models (impervious and with openings) capturing loads and pressures on various structural elements, both horizontally and vertically. Integrating experiments with numerical simulations (e.g. CFD
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, several different configurations will be evaluated with your CFD-FEM models and tested at TRL4 (10 kWe) at TU/e to identify the most promising configurations and operation modes, first only for heating