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flows in industrial bioreactors. It aims to use new experimental techniques as well as advanced numerical approaches to improve CFD simulation tools and their application for the scale-up of bioreactors
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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objectives and activities include: • Developing a CFD model to analyse arc physics and establish correlations between transferred energy distribution and deposition conditions (including WA-DED process
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about shape optimization and the new opportunities offered by numerical design in turbomachinery. Prior experience in CFD and/or CFD code development (Python, C++, Fortran) would be a significant
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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regulations, developing low-emission, carbon-free burners has become crucial for industry and a technical challenge for researchers. Ammonia (NH3) and hydrogen (H2) are the main carbon-free fuels under
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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field measurements and laboratory experiments Comparing and evaluating existing numerical models, including XBeach and Watlab (developed at UCLouvain/iMMC) Developing and implementing improved numerical
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these developments have focused on conventional hydrocarbons under purely gaseous conditions. In contrast, SAF combustion in GTs occurs in a multiphase regime, where complex interactions between liquid fuel droplets