Rayleigh–Taylor unstable flames at higher Reynolds number
Abstract
ABSTRACT Rayleigh–Taylor (RT) unstable flames are a key component of Type Ia and Iax supernovae explosions, but their complex hydrodynamics is still not well understood. These flames are affected not only by the RT instability, but also by the turbulence it generates. Both processes can increase the flame speed by stretching and wrinkling the flame. This makes it hard to choose a subgrid model for the flame speed in full star Type Ia or Iax simulations. Commonly used subgrid models get around this difficulty by assuming that either the RT instability or turbulence is dominant and sets the flame speed. In previous work, we evaluated the physical assumptions and predictive abilities of these two types of models by analysing a large parameter study of 3D direct numerical simulations of RT unstable flames. Surprisingly, we found that the flame dynamics is dominated by the RT instability and that RT unstable flames are very different from turbulent flames. In particular, RT unstable flames are thinner rather than thicker when turbulence is strong. In addition, none of the turbulent flame speed models adequately predicted the flame speed. We also showed that the RT flame speed model failed when the RT instability was strong,more »
- Authors:
-
- Epsilon Delta Labs, Evanston, IL 60201, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1558139
- Resource Type:
- Published Article
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 489 Journal Issue: 1; Journal ID: ISSN 0035-8711
- Publisher:
- Oxford University Press
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Hicks, E. P. Rayleigh–Taylor unstable flames at higher Reynolds number. United Kingdom: N. p., 2019.
Web. doi:10.1093/mnras/stz2080.
Hicks, E. P. Rayleigh–Taylor unstable flames at higher Reynolds number. United Kingdom. https://doi.org/10.1093/mnras/stz2080
Hicks, E. P. Tue .
"Rayleigh–Taylor unstable flames at higher Reynolds number". United Kingdom. https://doi.org/10.1093/mnras/stz2080.
@article{osti_1558139,
title = {Rayleigh–Taylor unstable flames at higher Reynolds number},
author = {Hicks, E. P.},
abstractNote = {ABSTRACT Rayleigh–Taylor (RT) unstable flames are a key component of Type Ia and Iax supernovae explosions, but their complex hydrodynamics is still not well understood. These flames are affected not only by the RT instability, but also by the turbulence it generates. Both processes can increase the flame speed by stretching and wrinkling the flame. This makes it hard to choose a subgrid model for the flame speed in full star Type Ia or Iax simulations. Commonly used subgrid models get around this difficulty by assuming that either the RT instability or turbulence is dominant and sets the flame speed. In previous work, we evaluated the physical assumptions and predictive abilities of these two types of models by analysing a large parameter study of 3D direct numerical simulations of RT unstable flames. Surprisingly, we found that the flame dynamics is dominated by the RT instability and that RT unstable flames are very different from turbulent flames. In particular, RT unstable flames are thinner rather than thicker when turbulence is strong. In addition, none of the turbulent flame speed models adequately predicted the flame speed. We also showed that the RT flame speed model failed when the RT instability was strong, suggesting that geometrical burning effects also influence the flame speed. However, these results depended on simulations with Re ≲ 720. In this paper, we extend the parameter study to higher Reynolds number and show that the basic conclusions of our previous study still hold when the RT-generated turbulence is stronger.},
doi = {10.1093/mnras/stz2080},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 1,
volume = 489,
place = {United Kingdom},
year = {2019},
month = {7}
}
https://doi.org/10.1093/mnras/stz2080
Web of Science
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