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fiber orientation. Implement the developed models in commercial forming simulation software and validate their accuracy against forming experiments. We are looking for a colleague who is comfortable with
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manufacturing machines (looms, bobbinfeeders, ...) under dynamic conditions. Such simulations are very challenging due to the use of diverse materials (natural and synthetic fibers, yarns and fabrics) which
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism
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of turbulent combustion models. Particular attention will be given to providing a well-characterized experimental reference case for numerical simulation and model benchmarking. The primary host institution is
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constitutive models to describe it. In this project, you will: • Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our novel improved in-house
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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. This approach aims to enable the development of computationally efficient models for simulating radiative transfer in three-dimensional cloudy atmospheres. Where to apply Website https://emploi.cnrs.fr/Candidat
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and materials simulations at the institutes PGI-12 and IET-3. Thereby, Forschungszentrum Jülich will provide you with an ideal environment for your project with unique possibilities to access the latest
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evaluate earlier developed friction models and extend them to account for effects such as slip direction and temperature dependence. Implement the developed models in commercial forming simulation software