Type Ia supernovae: calculations of turbulent flames using the linear eddy model

S. Woosley, A. Kerstein, V. Sankaran, Andrew Aspden, F. Ropke

    Research output: Contribution to journalArticlepeer-review

    59 Downloads (Pure)

    Abstract

    The nature of carbon burning flames in Type Ia supernovae is explored as they interact with Kolmogorov turbulence. One-dimensional calculations using the Linear Eddy Model of Kerstein elucidate three regimes of turbulent burning. In the simplest case, large-scale turbulence folds and deforms thin laminar flamelets to produce a flame brush with a total burning rate given approximately by the speed of turbulent fluctuations on the integral scale, UL, This is the regime where the supernova explosion begins and where most of its pre-detonation burning occurs. As the density declines, turbulence starts to tear the individual flamelets, making broader structures that move faster. For a brief time, these turbulent flamelets are still narrow compared to their spacing and the concept of a flame brush moving with an overall speed of UL remains valid. However, the typical width of the individual flamelets, which is given by the condition that their turnover time equals their burning time, continues to increase as the density declines. Eventually, mixed regions almost as large as the integral scale itself are transiently formed. At that point, a transition to detonation can occur. The conditions for such a transition are explored numerically and it is estimated that the transition will occur for densities near 1 × 107 g cm–3, provided the turbulent speed on the integral scale exceeds about 20% sonic. An example calculation shows the details of a detonation actually developing.
    Original languageEnglish
    Pages (from-to)255-273
    Number of pages19
    JournalThe Astrophysical Journal
    Volume704
    Issue number1
    DOIs
    Publication statusPublished - 10 Oct 2009

    Fingerprint

    Dive into the research topics of 'Type Ia supernovae: calculations of turbulent flames using the linear eddy model'. Together they form a unique fingerprint.

    Cite this