Analyzing single and multicomponent supercritical jets using volume-based and mass-based numerical approaches

Author:

Rahantamialisoa F. N. Z.1ORCID,Madana Gopal J. V.2ORCID,Tretola G.3ORCID,Sahranavardfard N.1ORCID,Vogiatzaki K.4ORCID,Battistoni M.1ORCID

Affiliation:

1. Department of Engineering, University of Perugia 1 , Italy, Via G. Duranti 93, Perugia 06125, Italy

2. Advance Engineering Center, University of Brighton 2 , Lewes Road, Brighton BN2 4AT, United Kingdom

3. Faculty of Natural, Mathematical and Engineering Sciences, King's college London 3 , Strand, London WC2R 2LS, United Kingdom

4. Department of Engineering Science, University of Oxford 4 , Oxford OX1 2JD, United Kingdom

Abstract

The injections of cryogenic and non-cryogenic fluids in a supercritical environment, respectively, liquid N2 into gaseous N2 and n-dodecane into gaseous N2, are investigated. The two systems are analyzed under dynamic and thermal similarity (same reduced temperatures, reduced pressures, and Reynolds numbers) using the same simplified two-dimensional configuration for the totality of the simulations. This work contributes to provide insight into the interpretation of numerical studies on single- and multicomponent systems under supercritical conditions. A comprehensive comparison of the results obtained from two numerical approaches, based on the volume of fluid and on the homogeneous mixture assumption, making use of two distinct thermophysical and mixing rule frameworks, is presented. Results show very similar and consistent fluid mechanics and mass diffusion processes predicted by the two approaches, but different thermal behaviors for binary-species configurations. The two different mixing models are found to have the greatest impact on the temperature predictions. Also, isobaric–adiabatic mixing, which is obtained with the mass-based homogeneous approach, leads eventually to a larger extension of the predicted two-phase region. Such findings have large implications in energy systems operating at high pressure, where accurate local temperature predictions are crucial.

Funder

Global Collaborative Research, King Abdullah University of Science and Technology

Engineering and Physical Sciences Research Council

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Reference68 articles.

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