451
Views
29
CrossRef citations to date
0
Altmetric
Original Articles

Simulation of Spherically Expanding Turbulent Premixed Flames

&
Pages 1509-1540 | Received 08 Jan 2013, Accepted 22 May 2013, Published online: 16 Sep 2013
 

Abstract

Statistically spherical expanding turbulent premixed flames are computed using an unsteady Reynolds-averaged Navier–Stokes (URANS) approach. Mean reaction rate is closed using strained and unstrained flamelet models and an algebraic model. The flamelets are parametrized using the scalar dissipation rate in the strained flamelet model. It is shown that this model is able to capture the measured growth rate of methane–air turbulent flame ball, which is free of thermo–diffusive instability. The spherical flames are observed to accelerate continuously. The flame brush thickness grows in time and the role of turbulent diffusion on this growth seems secondary compared to the convection due to the fluid velocity induced by the chemical reaction. The spherical flames have larger turbulent flame speed, the leading-edge displacement speed st, compared to the planar flames for a given turbulence and thermochemical condition. The computational results suggest with 0.57 ≤ n ≤ 0.58, where Re t is the turbulence Reynolds number and is the unstrained planar laminar flame speed, for both spherical and planar flames.

ACKNOWLEDGMENT

We acknowledge Professor Cheng at MIT for providing a copy of the MS thesis containing the experimental data used in this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,493.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.