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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 70, 2016 - Issue 2
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Original Articles

Application of the PDF transport model to nonreacting jets using an adaptive Monte Carlo method

Pages 91-110 | Received 04 Nov 2015, Accepted 11 Mar 2016, Published online: 24 Jun 2016
 

ABSTRACT

A nonreacting methane turbulent jet flame is simulated using a composition Probability Density Function (PDF) transport model combined with a parabolic flow model closed using a k–ε turbulence model. The model is validated using the measurements of Birch et al. The turbulent concentration field of a methane jet, J. Fluid Mech., vol. 88, pp. 431–449, 1978. For the most part, the agreement between the model predictions and measured PDFs, mean mixture fraction, Root Mean Squared (RMS) mixture fraction, and higher moments is very good, except where jet intermittency effects are important.

Although the validation of the model is encouraging, the requirement for large sample sizes limits how the model implemented with the standard Monte Carlo method can be taken forward. To address this issue, the Monte Carlo method is modified such that the number of particles in a control volume is adapted based on a criterion developed from the central limit theorem. The adaptive Monte Carlo method requires approximately 20% of the runtime of the standard Monte Carlo method.

Nomenclature

C1,C2=

turbulence model parameters

CD=

constant in the micromixing model

Cµ=

turbulence model parameter

d=

source diameter

fi=

particles representing the PDF

=

mean mixture fraction

=

variance of mixture fraction

g=

gravitational acceleration

K=

kurtosis

k=

turbulence kinetic energy

lt=

turbulent length scale

NA=

number of particle advection processes

ND,E, ND,W=

number of particle diffusion processes

NM=

number of particle mixing processes

Nr=

number of control volumes in the radial direction

Nref=

maximum number of particles per control volume

Nsam=

number of particles per control volume

P=

probability density function

Pk=

production of turbulence kinetic energy

r=

radial coordinate

r0=

source radius

Re=

Reynolds number

S=

skewness

U0=

source velocity

U=

axial velocity component

V=

radial velocity component

z=

axial coordinate

Δr=

mesh spacing in the radial direction

Δt*=

pseudo time step

Δz=

space step in the z-coordinate direction

ϵ=

dissipation rate of turbulence kinetic energy

κ=

Von Karman constant

µ,σ=

mean and standard deviation of a Gaussian distribution

µeff=

effective dynamic viscosity

ρ=

density

σk=

turbulent Prandtl number for turbulence kinetic energy

σϵ=

turbulent Prandtl number for dissipation rate of turbulence kinetic energy

σP=

turbulent Prandtl number for the PDF transport equation

ω=

turbulent frequency

Subscript=
amb=

ambient value

E,W=

neighbors of P in the radial dimension

P=

current control volume

t=

turbulence property

0=

source conditions

Over bar=
_=

Reynolds average

=

Favre average

Nomenclature

C1,C2=

turbulence model parameters

CD=

constant in the micromixing model

Cµ=

turbulence model parameter

d=

source diameter

fi=

particles representing the PDF

=

mean mixture fraction

=

variance of mixture fraction

g=

gravitational acceleration

K=

kurtosis

k=

turbulence kinetic energy

lt=

turbulent length scale

NA=

number of particle advection processes

ND,E, ND,W=

number of particle diffusion processes

NM=

number of particle mixing processes

Nr=

number of control volumes in the radial direction

Nref=

maximum number of particles per control volume

Nsam=

number of particles per control volume

P=

probability density function

Pk=

production of turbulence kinetic energy

r=

radial coordinate

r0=

source radius

Re=

Reynolds number

S=

skewness

U0=

source velocity

U=

axial velocity component

V=

radial velocity component

z=

axial coordinate

Δr=

mesh spacing in the radial direction

Δt*=

pseudo time step

Δz=

space step in the z-coordinate direction

ϵ=

dissipation rate of turbulence kinetic energy

κ=

Von Karman constant

µ,σ=

mean and standard deviation of a Gaussian distribution

µeff=

effective dynamic viscosity

ρ=

density

σk=

turbulent Prandtl number for turbulence kinetic energy

σϵ=

turbulent Prandtl number for dissipation rate of turbulence kinetic energy

σP=

turbulent Prandtl number for the PDF transport equation

ω=

turbulent frequency

Subscript=
amb=

ambient value

E,W=

neighbors of P in the radial dimension

P=

current control volume

t=

turbulence property

0=

source conditions

Over bar=
_=

Reynolds average

=

Favre average

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