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A Pressure-Based Numerical Framework for Highly Stratified Transcritical Real-Fluids Simulations

par Cavalieri, Davide;Indelicato, Giuseppe;Remiddi, Arianna ;Creta, Francesco;Ciottoli, Pietro Paolo;Lapenna, Pasquale Eduardo
Référence (23 January 2023 - 27 January 2023), AIAA SciTech Forum and Exposition, 2023
Publication Publié, 2023-01-23

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Résumé :

High-efficient and compact devices for space propulsion combustion applications rely on the utilization of high-pressure and cryogenic temperature injection conditions. Such extreme operating regimes limit the amount of data that can be extracted from experimental diagnostics, which makes high-fidelity fluid dynamics numerical simulations crucial to achieving elevated reliability and readiness levels to develop new technologies. Dealing with these flows involves numerical challenges: due to the strong non-linear coupling between the real-fluid thermodynamics and governing equations, unphysical pressure oscillations may occur. To address these challenges, in this contribution we present a pressure-based numerical framework capable to handling large-density gradients and high-Reynolds number flows. The presented framework is tested and validated against a numerical benchmark configuration, comprising a liquid-Oxygen gaseous-Hydrogen mixing layer in Liquid-Rocket-Engines (LREs) relevant conditions. The effective role of diffusion models of increasing complexity is investigated in the context of practical Large-Eddy-Simulations of LREs coaxial injectors.