RANS modelling of turbulence in combustors

  1. (PDF, 4 MB)
DOIResolve DOI: http://doi.org/10.5772/intechopen.68361
AuthorSearch for:
TypeBook Chapter
Book titleTurbulence Modelling Approaches: Current State, Development Prospects, Applications
Pages# of pages: 30
Subjectturbulence modelling; RANS; momentum and scalar modelling; combustor
AbstractTurbulence modelling is a major issue, affecting the precision of current numerical simulations, particularly for reacting flows. The RANS (Reynolds‐averaged Navier‐Stokes) modelling of turbulence is necessary in the development of advanced combustion systems in the foreseeable future. Therefore, it is important to understand advantages and limitations of these models. In this chapter, six widely used RANS turbulence models are discussed and validated against a comprehensive experimental database from a model combustor. The results indicate that all six models can catch the flow features; however, various degrees of agreement with the experimental data are found. The Reynolds stress model (RSM) gives the best performance, and the Rk‐ε model can provide similar predictions as those from the RSM. The Reynolds analogy used in almost all turbulent reacting flow simulations is also assessed in this chapter and validated against the experimental data. It is found that the turbulent Prandtl/Schmidt number has a significant effect on the temperature field in the combustor. In contrast, its effect on the velocity field is insignificant in the range considered (0.2–0.85). For the present configuration and operating conditions, the optimal turbulent Prandtl/Schmidt number is 0.5, lower than the traditionally used value of 0.6–0.85.
Publication date
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
NPARC number23002447
Export citationExport as RIS
Report a correctionReport a correction
Record identifier6f3a8cff-cdad-4740-91ee-5119d17a4b7d
Record created2017-11-10
Record modified2017-11-10
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)
Date modified: