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Numerical Simulation of Jet Injection and Species Mixing under High-Pressure Conditions

Gnanaskandan, Aswin and Bellan, Josette (2017) Numerical Simulation of Jet Injection and Species Mixing under High-Pressure Conditions. Journal of Physics: Conference Series, 821 . Art. No. 012020. ISSN 1742-6588. http://resolver.caltech.edu/CaltechAUTHORS:20170407-124745831

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Abstract

Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) are performed of a round fluid jet entering a high-pressure chamber. The chemical compositions and temperatures of the jet and that of the fluid in the chamber are initially prescribed. The governing equations consist of the conservation equations for mass, momentum, species and energy, and are complemented by a real-gas equation of state. The fluxes of species and heat are written in the framework of fluctuation-dissipation theory and include Soret and Dufour effects. For more than two species, the full mass diffusion and thermal diffusion matrices are computed using high-pressure mixing rules which utilize as building blocks the corresponding binary diffusion coefficients. The mixture viscosity and thermal conductivity are computed using standard mixing rules and corresponding states theory. To evaluate the physical model and numerical method, LES is employed first to simulate a supercritical N_2 jet injected into N_2. Time averaged results show reasonable agreement with the experimental data. Then, DNS is conducted to study the spatial evolution of a supercritical N_2 jet injected into CO_2. Time averaged results are used to compute the length of the potential core and the species diffusion characteristics. Spectral analysis is then applied on a time series data obtained at several axial locations and a dominant frequency is observed inside the potential core.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/1742-6596/821/1/012020DOIArticle
http://iopscience.iop.org/article/10.1088/1742-6596/821/1/012020PublisherArticle
Additional Information:© 2017 The Authors. Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. This study was conducted at the California Institute of Technology under the sponsorship of the Department of Energy (DoE), Basic Energy Sciences with Drs. Wade Sisk and Mark Pederson as Program Managers and by the Army Research Office with Dr. Ralph Anthenien as Program Manager. Computational time was provided by the NASA Ames Supercomputing Center under the Transformational Tools and Technologies (T3) Project directed by Dr. Michael Rogers and by NERSC under DoE sponsorship.
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Funding AgencyGrant Number
Department of Energy (DOE)UNSPECIFIED
Army Research Office (ARO)UNSPECIFIED
Record Number:CaltechAUTHORS:20170407-124745831
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170407-124745831
Official Citation:Aswin Gnanaskandan and Josette Bellan 2017 J. Phys.: Conf. Ser. 821 012020
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75849
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:07 Apr 2017 20:36
Last Modified:07 Apr 2017 20:36

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