A numerical procedure for the computation of confined, axisymmetric, turbulent diffusion flames is developed. The governing elliptic partial differential equations are solved by the finite-element method to generate the flexible mesh in flow regions with physical and geometrical complexity. This algorithm adopts a sequential velocity-pressure formulation that allows the uncoupling of pressure and velocity. In order to minimize the numerical diffusion, the streamline upwind/Petrov-Galerkin formulation is employed. Turbulence is represented by the k-e model, and the combustion process involves an irreversible one-step reaction at an infinite rate. The time-averaged mixture properties are obtained by weighting the property function with a beta probability density function (pdf). Predictions are made for turbulent reacting and nonreacting flow systems with recirculation, and the results are compared with experimental data. Nomenclature a,b -parameter in /3 function pdf C p = specific heat C^ = constants in the turbulent model / = mixture fraction g = square of fluctuations of mixture fraction h = enthalpy of mixture Hf U = heat of reaction k = kinetic energy of turbulence M = molecular weight P = pressure R = universal gas constant r = distance in radial direction s = stoichiometric mass of oxidant T = temperature u = axial velocity component v -radial velocity component W = weighting function x = axial coordinate distance j8 = conserved scalar £ = nondimensional mixture fraction e = rate of dissipation of turbulence energy fji = molecular viscosity Ht = turbulent viscosity p = mixture density $ = continuous weighting function = discontinuous weighting function Subscripts A = airstream F = fuel stream fu -fuel ox = oxidant pr = product Superscripts = correction * = estimation
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.