Modelling of nitrogen and oxygen gas mixture with a novel diatomic kinetic model

Todorova, B. N., White, C. and Steijl, R. (2020) Modelling of nitrogen and oxygen gas mixture with a novel diatomic kinetic model. AIP Advances, 10(9), 095218. (doi: 10.1063/5.0021672)

Abstract

Practical applications involve flows that often have more than one constituent. Therefore, the capability to model a gas mixture flow is important. Extending kinetic model equations of the Bhatnagar–Gross–Krook type from a single-species gas to multi-species gas mixtures presents a number of important challenges. This challenge is further pronounced when diatomic gas mixtures are considered due to the addition of internal energy modes. In this paper, a novel diatomic binary mixture model with separate translational, rotational, and vibrational temperatures is derived. The species drift-velocity and diffusion are considered by introducing separate species velocities and accounting for their relationship. The derivation is detailed as a logical build-up with a multi-step approach from a diatomic model for a single gas, known in the literature. Transport properties are obtained through the Chapman–Enskog type expansion. The diatomic mixture model is numerically evaluated for a gas mixture of nitrogen and oxygen. The model is validated against Monte Carlo results for normal shocks, showing good agreement for species density and temperature profiles. A parametric study demonstrates the variation in flow properties for different Mach numbers, vibrational collision numbers, and concentrations. Interesting results for the mixture properties are shown when the physics of the flow is discussed in greater detail. The effect of the different levels of vibrational excitation in the different species emphasizes the importance of modeling the flow as a mixture. The newly introduced diatomic gas mixture model demonstrates promising computational results for relevant applications.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: White, Dr Craig and Steijl, Dr Rene and Todorova, Blaga
• Authors: Todorova, B. N., White, C., and Steijl, R.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: AIP Advances
• Publisher: American Institute of Physics
• ISSN: 2158-3226
• ISSN (Online): 2158-3226
• Published Online: 16 September 2020
• Copyright Holders: Copyright © 2020 The Authors
• First Published: First published in AIP Advances 10(9):095218
• Publisher Policy: Reproduced under a Creative Commons licence