large eddy simulation of diesel sprays - engine research center
TRANSCRIPT
UNIVERSITY OF WISCONSIN - ENGINE RESEARCH CENTER As of June 5, 2012
Large Eddy Simulation of Diesel Sprays
Chi-Wei Tsang, Prof. Christopher Rutland Funding Sponsor – Caterpillar
Motivation OpenFOAM has great potential in internal combustion engines research
Objective Test and improve the turbulence and spray models in OpenFOAM
Dynamic structure model validation
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0 50 100 150 200 250 300
uiu
j/uτ
^2
y+
model <uu>
model <vv>
model <ww>
DNS <uu>
DNS <vv>
DNS <ww>
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0 0.2 0.4 0.6 0.8 1
<U
>/U
ba
r
y/delta
modelDNS
- Model shows good agreement with DNS results near the wall in principal direction (uu) - Away from the wall, the model performs well too
x
y
z
- Test case: channel flow - Domain size: 4 x 2 x 2 (m) - Total cells: 120000
Add spray source term for sub-grid
kinetic energy equation in OpenFOAM
𝜕𝝆 𝒌𝒔𝒈𝒔
𝜕𝒕+ 𝝏𝝆 < 𝒖𝒋 > 𝒌𝒔𝒈𝒔
𝝏𝒙𝒋=
𝝏
𝝏𝒙𝒋𝝁𝑻
𝝏𝒌𝒔𝒈𝒔
𝝏𝒙𝒋+ 𝐏 − 𝜺𝒔𝒈𝒔 + 𝑾 𝒔,𝒔𝒈𝒔
In OpenFOAM, none of the turbulence models have a spray source
term as circled. Without this source term spray penetration is
over–predicted in LES simulation [1], so it is necessary to
implement it in the code. The model for the source term is
𝑾 𝒔,𝒔𝒈𝒔 = − 𝑭𝒋,𝒅𝒅
𝒖𝒋𝒔𝒈𝒔 𝑽𝒄𝒆𝒍𝒍 =
= − 𝟑
𝟖
𝑪𝑫𝑽𝒄𝒆𝒍𝒍
𝒎𝒅𝝆 𝑽𝒓𝒆𝒍𝒓𝒅𝝆𝒍
< 𝒖𝒋 > +𝒖𝒑,𝒋′ − 𝒖𝒅,𝒋 𝟐 < 𝒖𝒋 > −𝟑 ≪ 𝒖𝒋 ≫+<<< 𝒖𝒋 >>>
𝒅
Sandia Engine Combustion Network (ECN)
spray–H non reacting case
fuel type N - heptane
injector type Single – hole, 100 μm diameter
ambient air 0 % O2
ambient pressure 4.33 MPa
ambient temperature 1000 K
initial fuel temperature 373 K
KH – RT breakup model constants
B0 0.61
B1 (KH time constant) 30
Cτ (RT time constant) 1
CRT 0.1
Cb (RT breakup length) 1.9
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0 500 1000 1500 2000 2500 3000 3500
liq
uid
pe
ne
tra
tio
n [
mm
]
Time [μs]
simulation
experiment
480 μs 640 μs 960 μs 1120 μs
- Liquid length is sensitive to B1, but vapor boundary is not - The upper row of plots below is vapor boundaries obtained from LES simulation; bottom row is Rayleigh scattering images from ECN - At early times, vapor penetrations are over–predicted, but later vapor shapes are well-captured
References [1] Bharadwaj, N., “Large Eddy Simulation Turbulence Modeling of Spray Flows”, Ph.D. Thesis, UW – Madison, 2010. [2] Amsden, A. A, Orourke, P. J., Butler, T. D., “KIVA – 2: A computer program for chemically reactive flows with sprays”, Los Alamos National Labs, 1989
Future work - Study fuel properties ,e.g., density, viscosity and surface tension
effects on spray breakup and evaporation models in OpenFOAM
𝑮 𝒖𝒑′ =
𝟏
𝝈 𝟐𝝅𝒆𝒙𝒑 −
𝒖𝒑′𝟐
𝟐𝝈𝟐
where Fj,d is the drag force on the parcels and is modeled assuming
a linear drag law [2]; Cd is the drop drag coefficient; is gas density; is droplet density; rd is droplet radius; Vrel is magnitude velocity between droplet and gas.
The droplet dispersion velocity is induced by turbulence. It is
chosen randomly from Gaussian distribution [2]
l
', jpu
where variance . k is sub – grid kinetic energy for LES
simulation and turbulent kinetic energy for RANS. Currently we
update the dispersion velocity in every time step to ensure that
there are sufficient turbulence effects on spray droplets.
3
22 k