Simulation of transcritical fluid jets using the PC-SAFT EoS

Rodríguez, Carlos; Vidal, Alvaro; Koukouvinis, Phoevos; Gavaises, Manolis; McHugh, Mark A.

doi:10.1016/j.jcp.2018.07.030

Cited by 27 publications

(14 citation statements)

References 43 publications

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“…In the existing literature, the injection of cryogenic liquid propellants at various operating conditions is extensively investigated experimentally in [8][9][10] and numerically in [6,[11][12][13][14][15][16]. Chehroudi et al [10] conducted experimental studies on cryogenic liquid nitrogen at various pressure conditions, from subcritical to supercritical levels.…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model

et al. 2020

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In the present numerical study, implicit large eddy simulations (LES) of non-reacting multi-components mixing processes of cryogenic nitrogen and n-dodecane fuel injections under transcritical and supercritical conditions are carried out, using a modified reacting flow solver, originally available in the open source software OpenFOAM®. To this end, the Peng-Robinson (PR) cubic equation of state (EOS) is considered and the solver is modified to account for the real-fluid thermodynamics. At high pressure conditions, the variable transport properties such as dynamic viscosity and thermal conductivity are accurately computed using the Chung transport model. To deal with the multicomponent species mixing, molar averaged homogeneous classical mixing rules are used. For the velocity–pressure coupling, a PIMPLE based compressible algorithm is employed. For both cryogenic and non-cryogenic fuel injections, qualitative and quantitative analyses are performed, and the results show significant effects of the chamber pressure on the mixing processes and entrainment rates. The capability of the proposed numerical model to handle multicomponent species mixing with real-fluid thermophysical properties is demonstrated, in both supercritical and transcritical regimes.

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Section: Introductionmentioning

confidence: 99%

Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model

et al. 2020

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“…However, the online version of record will be different from this version once it has been copyedited and typeset. PLEASE CITE THIS ARTICLE AS DOI:10.1063/1.5140981 employed in the two-phase flow simulation, especially for the high pressure injection [28]- [30]. However, the scenario of cavitation simulation with real fluid equation of state is still extremely scarce for its high thermodynamically and numerical complexities.…”

Section: Introductionmentioning

confidence: 99%

Real-fluid phase transition in cavitation modeling considering dissolved non-condensable gas

Habchi

2020

Physics of Fluids

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In this article, a fully compressible two-phase flow model combined with a multicomponent real-fluid phase equilibrium solver is proposed for the cavitation modelling. The model is able to simulate the dissolving process of non-condensable gas through resolving the real-fluid phase change equations. A three-dimensional cavitating nozzle test is considered to validate the suggested model. The achieved numerical results have been compared to available X-ray experiments. The results have confirmed that the model can tackle the phase transition phenomena including gas dissolving and homogeneous nucleation processes. Thus, the cavitation inception has been modelled dynamically when the fluid crosses the phase boundary from single-phase state to twophase state and vice-versa. The effects of non-condensable gas on the cavitation inception, development and unsteadiness have been particularly analysed, based on the Large-Eddy simulations and X-ray experiments. Finally, the encountered challenges are mentioned, aiming at providing recommendations for similar researches.

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“…Figure 27. Liquid/vapour saturation lines for different molar compositions of nitrogen/dodecane mixture; comparison between experiments 68 and PC-SAFT model predictions 69 ; note that the mixture critical pressure is well above the critical pressure of the individual pure components.…”

Section: Real-fluid Thermodynamic Effectsmentioning

confidence: 99%