Overview of Common Thermophysical Property Modelling Approaches for Cryogenic Fluid Simulations at Supercritical Conditions

Computational Fluid Dynamics (CFD) frameworks of supercritical cryogenic fluids need to employ Real models such as cubic Equations State (EoS) account for thermal and inertial driven mechanisms fluid evolution disintegration. Accurate estimation the non-linear variation in density, thermodynamic transport properties is required computationally replicate relevant thermo dynamics involved. This article reviews availability, performance implementation common EoS data-based CFD studies fluids. A systematic analysis (N2, O2 CH4) thermophysical property predictions by (PR SRK) non-cubic (SBWR) EoS, along with Chung’s model, reveal that: (a) SRK much more accurate than PR at low temperatures liquid phase, whereas pseudoboiling region (b) SBWR despite requiring same input parameters; however, it limited complexity estimation. Alternative models, tabulation polynomial methods, have also been shown be reliably employed CFD. At end, a brief discussion on modelling affected quantum effects included, which unsuitability real phase presented.