4.5 Article

Towards Understanding the Structure of Subcritical and Transcritical Liquid-Gas Interfaces Using a Tabulated Real Fluid Modeling Approach

期刊

ENERGIES
卷 14, 期 18, 页码 -

出版社

MDPI
DOI: 10.3390/en14185621

关键词

real fluid model; vapor-liquid equilibrium (VLE); tabulation; multi-component; diffuse-interface method (DIM); subcritical; transcritical; supercritical; PISO; SIMPLE

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The accurate, robust, and efficient simulation of fuel jets has long been a challenge for researchers. In this study, a new tabulated multi-component real-fluid model (RFM) and modified numerical schemes were applied to simulate various jet mixing cases and compared with experimental data, showing satisfactory agreement.
A fundamental understanding and simulation of fuel atomization, phase transition, and mixing are among the topics researchers have struggled with for decades. One of the reasons for this is that the accurate, robust, and efficient simulation of fuel jets remains a challenge. In this paper, a tabulated multi-component real-fluid model (RFM) is proposed to overcome most of the limitations and to make real-fluid simulations affordable. Essentially, a fully compressible two-phase flow and a diffuse interface approach are used for the RFM model, which were implemented in the CONVERGE solver. PISO and SIMPLE numerical schemes were modified to account for a highly coupled real-fluid tabulation approach. These new RFM model and numerical schemes were applied to the simulation of different fundamental 1-D, 2-D, and 3-D test cases to better understand the structure of subcritical and transcritical liquid-gas interfaces and to reveal the hydro-thermodynamic characteristics of multicomponent jet mixing. The simulation of a classical cryogenic injection of liquid nitrogen coaxially with a hot hydrogen jet is performed using thermodynamic tables generated by two different equations of state: Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK). The numerical results are finally compared with available experimental data and published numerical studies with satisfactory agreement.

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