Proceedings of the ASME 2012 Internal Combustion Engine Division Spring Technical Conference
ICES2012
May 6-9, 2012, Torino, Piemonte, Italy
ICES2012-81016
3D-CFD LAGRANGIAN SPRAY SIMULATIONS FOR LARGE TWO STROKE MARINE
DIESEL ENGINES COMPARED WITH EXPERIMENTAL DATA OF A SPRAY
COMBUSTION CHAMBER
M. Bolla
ETH Zurich,
Zurich, Switzerland
Y. M. Wright
ETH Zurich,
Zurich, Switzerland
M. A. Cattin
ETH Zurich,
Zurich, Switzerland
K. Boulouchos
ETH Zurich,
Zurich, Switzerland
ABSTRACT
The behavior of lagrangian spray models for the
application in large two stroke marine engines is investigated.
3D-CFD simulations of a Spray Combustion Chamber (SCC)
with a single hole (0.875 mm diameter) injector are presented
and compared with experimental results. Shadow images of the
spray under evaporating and non-evaporating conditions, with
and without swirl flow and for different chamber pressures are
available by means of which the simulation results are
validated. A novel post processing methodology for 3D CFD
spray simulations is introduced, which converts the numerical
data into images which allows for a more rigorous quantitative
comparison with the experimental data. Good agreement of the
simulation results with the experiment is reported both in terms
of spray penetration as well as concerning the evaporation of
the fuel. Since the appropriate discretization of the large
volumes typical of 2-stroke marine engines presents a
substantial challenge, the influence of the grid resolution is
investigated. In addition, the influence of fuel quality on the
evolution of the spray morphology is assessed. For this purpose,
simulations with heavy fuel oil (HFO) are compared with
experiment.
INTRODUCTION
Large Diesel engines are commonly employed for merchant
ships propulsion due to the high thermal efficiency and the
relative low fuel costs for HFO. Since 2000, exhaust gas
emissions from maritime Diesel engines are legislated [1]. As a
consequence, much research activity is currently underway to
substantially reduce nitric oxides from those combustion
R. Schulz
Wärtsilä Switzerland Ltd,
Winterthur, Switzerland
systems. Pollutant formation is strongly influenced by the state
of mixing during combustion. The fuel spray characteristics
play an important role for mixture formation and the subsequent
combustion since they determine droplet sizes and positions and
therefore influence the evaporation and fuel/air mixture
processes. The spray itself depends strongly on the fuel
properties, which can vary widely between light fuel oils such
as Diesel and low quality HFO.
The fast increase in computation power availability in
recent years has promoted the use of Computational Fluid
Dynamics (CFD) as a powerful tool in assisting the design of
advanced combustion systems. In the last decades, various
model approaches for two-phase flows description have been
proposed. For high-pressure dispersed sprays typical of Diesel
engines, the Eulerian-Lagrangian methodology for gas- and
liquid-phase, respectively is widely used. In this approach –
which is also adopted in this study – the conservation equations
are solved for both phases and are coupled by introducing
source terms which account for the exchange of momentum,
energy and mass.
Roughly two thirds of merchant ships are operated with
heavy or residual fuel oil, for which the composition and hence
thermo-physical properties can vary substantially [2]. Most
experimental investigations for low grade fuels reported in the
literature have been carried out at the visual constant volume
combustion chamber (VCVCC) [3] and at the fuel ignition
analyzer (FIA) [4]. The former has a cylindrical shape with
150 mm bore and 350 mm in height with optical access to the
full length of the spray, while the FIA has a bore of 65 mm and
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Copyright © 2012 by ASME
is 190 mm long without optical access. Both devices have an
axial injector with a hole diameter of 0.16 mm.
HFO spray simulations have been performed by different
research groups. Goldsworthy [5] developed a simplified model
for HFO consisting of residual base and cutter stock. Ignition
delay and flame propagation were compared to measurement at
the VCVCC presented in [5]. Struckmeier et al. [4, 6] improved
the model of Goldsworthy including multi-component
evaporation modeling. Good predictions of flame propagation
and lift-off height at the VCVCC were reported. In [7]
Kyriakides et al. developed a model for HFO spray accounting
for different HFO thermo-physical properties. The influence of
fuel properties were assessed purely numerically in the absence
of experimental validation data. Two different injector hole
sizes were employed, namely 0.37 and 0.9 mm, representing
orifice diameters typical of large 4-stroke and 2-stroke engines,
respectively. HFO showed comparable penetration length
compared to light Diesel fuel and significantly larger droplet
sizes in agreement with findings reported in [2]. More recently,
Chryssakis et al. [8] performed reactive simulations at the
VCVCC and FIA by adopting the HFO model proposed in [7].
In the present investigation, non-reactive numerical
simulations of light Diesel fuel and HFO spray injection are
carried out for a broad range of conditions typical to large
2-stroke marine engines. Results are compared to optical
measurements available from a new experimental device
representative for large two-stroke marine Diesel engines [9,
10]; a production grade fuel injector equipped with a single coaxial nozzle with an orifice diameter of 0.875 mm was used.
The main objective of the present study is to assess if the spray
models employed – which have been developed for
considerably smaller dimensions (automotive and heavy-duty) –
are applicable also at the dimensions and time-scales of large
marine engines.
TEST CASES
Experimental data available from the Spray Combustion
Chamber (SCC) installed at Wärtsilä Switzerland Ltd. [9-11]
have been used for model validation at conditions relevant to
large two-stroke marine Diesel engines. The optically accessible
chamber has a disk shape with 500 and 150 mm in diameter and
height, respectively. Fuel is injected from the periphery into
swirling ambient air or N2. The test facility is able to operate
with different fuel qualities from light Diesel fuel up to HFO.
For more detailed information about the SCC test facility, the
reader is referred to [9, 10].
Nine different cases have been considered (cf. Table 1),
which consist of evaporating and non-evaporating conditions,
three different ambient gas densities and light Diesel fuel and
heavy fuel oil. All test cases are operated with a one-hole coaxial injector nozzle with a hole diameter of 0.875 mm.
Injection pressure and duration are 1000 bar and 25 ms,
respectively.
Table 1: Operating conditions considered.
LFO
LFO & HFO
Gas density
[kg/m3]
Gas pressure
[bar]
11
22
33
11
22
33
13
27
40
30
60
90
Gas
temperature
[K]
400
900
NUMERICAL SETUP
Flow-field solver
Simulations have been performed using the commercial
CFD-solver Star-CD [12], a finite-volume solver for fully
unstructured grids. Conservation equations are solved with the
RANS formulation using the RNG variant of the k-e turbulence
model with default model constants. The SCC numerical
domain is illustrated in Figure 1. It is a closed geometry, which
consists of inlet tube (blue), regenerator and tilted flange (red)
and disk-shaped combustion chamber (green). Red circles
represent the position and size of the window, while the black
arrow indicates the location of the injector and direction in
which fuel enters the chamber through the single co-axial
orifice.
Figure 1: Spray Combustion Chamber numerical domain
consisting of inlet (blue), regenerator and flange (red) and
combustion chamber (green). Arrows indicates location and
direction of injector.
In the combustion chamber a hexahedral grid is employed.
The entire numerical domain consists of 0.97 million cells. The
region relevant for the spray, 300 mm axial and 50 mm radial
from the spray axis has been refined with a homogeneous grid
size of 2 mm, corresponding to roughly twice the injector
diameter.
Initial field quantities (temperature, pressure, velocity,
turbulent kinetic energy and turbulence dissipation rate) at start
of injection (SOI) have been computed from a previous
simulation, where the experimental filling process of the
chamber using pressurized air has been computed [13, 14]. The
tilted intake into the combustion chamber provides the desired
swirl motion in the combustion chamber, which at SOI
corresponds approximately to a solid body rotation with 20 m/s
at 200 mm radial position and a no-slip condition at the wall.
Heat transfer at the walls is modeled with the standard
formulation of wall-function [12]. A constant wall temperature
(TWall=453 K) boundary condition is employed.
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Copyright © 2012 by ASME
Spray model
Fuel spray is treated with the built-in Eulerian-Lagrangian
approach. Primary break-up is modeled according to [15] and
secondary break-up with the Reitz-Diwakar [16] model, where
two different break-up regimes are considered, i.e. the bag and
the stripping break-up regime. Simulations are computed with
unchanged model constants as proposed Star-CD default values.
Standard models for momentum exchange, droplet collision,
evaporation, droplet-wall interaction are used [12]. Liquid fuel
properties needed for exchange processes with the gas phase
(saturation pressure, density, surface tension, heat capacity, heat
of evaporation, viscosity and conductivity) are tabulated in
temperature using internal n-dodecane properties for light
Diesel fuel and for HFO simulations fuel properties from
Wärtsilä Switzerland Ltd. (private communication by Dr. R.
Schulz). HFO consists of five different components, which are
treated with the Star-CD built-in multi-component spray model
approach [12].
POST-PROCESSING METHODOLOGY
The simulated spray penetration length is evaluated in an
analogous way as in the experiment [9], where using shadow
imaging the spray is separated into a dense and a contour
region, which are defined as the 10 % and 90 % value, of the
transmitted light intensity through the spray, respectively. With
this method, additional information from the measurement
under evaporating conditions for validation purposes is
obtained. In the following, the methodology is shortly
explained. The physics of shadows imaging is tried to be
reconstructed, mainly light crossing the spray and look what
does come through in order to evaluate spray optical thickness.
The plane perpendicular to the experimental light beam
direction trough the spray is discetized into an equidistant
cartesian grid with a resolution of 0.4 mm. In each grid node the
sum of the projected droplet surface areas present in the optical
path is considered as representative shielding area. Light is
assumed not to be transmitted through liquid droplets. The
transmitted light ratio, TR , is introduced as:
TR =
∑A
dropi
i
(1)
Agrid
By considering each grid node independently, the effect of light
scattering due to droplets is not taken into account. Former
phenomenon is considered in an artificial way through a
smoothing treatment of the transmitted intensity ratios between
the neighboring cells as follows:
TR(i , j )
(
=
smooth
(1 − χ ) TR(i , j )
1
+ χ TR(i , j +1) + TR(i , j −1) + TR(i −1, j ) + TR(i +1, j )
4
)
(2)
where χ is the smoothing rate set arbitrarily to be 0.5. The
smoothing treatment does have the physical meaning of light
scattering and does not influence the macroscopic structure of
the spray.
The transmitted light ratio can be now compared directly with
the grayscale images taken with the experimental high-speed
camera. Identically as in the experiment, the simulated dense
and contour spray regions are defined as locations where TR is
higher than 90 % and 10 %, respectively.
Penetration length of the dense spray is defined as highest
distance from the injector where a minimal dense region of
thickness of 5 d0 is present as illustrated in Figure 2.
Figure 2: Minimal thickness definition for dense spray
length.
Definition of the contour spray penetration length is analogous
to the one of the dense spray.
RESULTS AND DISCUSSION
Grid sensitivity
Numerical simulations of two-phase flows with the
Eulerian-Lagrangian framework are well known to be grid
dependent [17-20]. However, it is a common praxis to use this
method for Diesel spray injection because of its simplicity and
low computational costs [21]. The grid sensitivity is evaluated
for a reference case with 33 kg/m3 gas density at nonevaporating conditions in order to evaluate the break-up model
independently, i.e. in the absence of any evaporation effects. In
the region relevant for the spray, the CFD mesh consists of
perfectly hexahedral cells with homogeneous size. Three
different sizes have been tested, namely 1, 2 and 4 mm side
length, leading to 3.6, 0.97 and 0.6 Mio cell counts for the
entire domain, respectively.
The comparison of the spray penetration lengths is given in
Figure 3: With a finer mesh a faster penetration of the spray for
the first 2 ms is observed. Droplet momentum is exchanged
with smaller cell volumes and the transfer of momentum in the
radial direction is considerably reduced compared to the coarser
grid.
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Copyright © 2012 by ASME
Figure 3: Penetration length of light Diesel fuel under nonevaporating conditions with 33 kg/m3 gas density for three
different grid resolutions: 1 mm (red), 2 mm (green) and
4 mm (red).
leading to faster penetration in the first 200 mm. After this
distance the trend of spray penetration length is reversed, i.e.
longer penetration for the coarser grid, for which a higher gas
velocity magnitude in the region farther than 200 mm from the
injector is observed.
The numerical shadow images shown in Figure 4 (lower)
present the influence of the grid resolution on the liquid
droplets distribution. With the finest mesh, the velocity field
shows more vortices which increase radial convective transport.
A substantially broader and more dispersed spray can be
observed and consequently the axial penetration is decreased.
For the given injection configuration at the investigated
operating conditions, the best agreement can be obtained at a
grid resolution of 2 mm, which corresponds to roughly twice the
injector orifice diameter. This is in agreement with previous
studies reporting sensitivities of spray morphology evolution on
grid resolution [19, 22]. For this resolution the weakest
sensitivity on spray model constants was also observed (not
shown here). It can be concluded, that reasonable results can be
obtained using a “standard” implementation of the ReitzDiwakar spray model with a 2 d0 grid also for substantially
larger injector sizes, despite the fact that the model was not
originally developed for such large injector diameters [16].
Non-evaporating conditions
Atomization and secondary break-up model performance
are evaluated under non-evaporating conditions in order to
suppress droplet mass transfer. Note that dense and contour
spray are the same under cold ambient gas. Figure 5 shows light
Diesel spray penetration length for three different gas pressures.
The increase in penetration when reducing the gas density is
correctly captured and the good agreement confirms the
appropriateness of the mesh resolution and spray model
constants.
The upper two sprays in Figure 6 compare simulated and
measured shadow images under non-evaporating conditions at
5 ms after SOI and 40 bar ambient pressure, respectively.
Interesting to note is the lateral deviation due to the swirling
ambient gas. Roughly 200 mm downstream, deviation in the
opposite direction occurs, since swirl direction is reversed
compared to the spray axis. This effect is well reproduced by
the simulation.
Figure 4: Computed gas phase velocity (colored figure) and
computed shadow image (gray figure) of light Diesel fuel
under non-evaporating conditions with 33 kg/m3 gas density
at 5 ms after SOI for three different grid resolutions: 1 mm
(upper), 2 mm (middle) and 4 mm (lower).
As a consequence, higher gas velocities are induced in the
inner of the spray as can be observed in Figure 4 (upper)
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Copyright © 2012 by ASME
(a) p=30 bar, T=900 K
Figure 5: Comparison simulation (dotted lines) with
experiment (straight lines) of penetration length with light
Diesel fuel under non-evaporating conditions for three
different gas pressures: 13 bar (blue), 27 bar (green) and
40 bar (red).
Non-evaporating, simulation
Non-evaporating, experiment
(b) p=60 bar, T=900 K
evaporating, simulation
evaporating, experiment
Figure 6: Shadow images of light Diesel fuel under nonevaporating (upper two) and evaporating (lower two)
conditions with 33 kg/m3 gas density and 5 ms after SOI.
Simulation at the top and experiment at the bottom.
Evaporating conditions
Experiments under evaporating conditions are conducted
with nitrogen as process gas to ensure a non-reactive
environment. The same three gas densities as for the cold cases
have been investigated to ensure that the aerodynamic forces
acting on the droplets remain unchanged in order to investigate
the effect of evaporation.
(c) p=90 bar, T=900 K
Figure 7: Comparison simulation (blue) with experiment
(red) of dense (pointed lines) and contour (straight lines)
spray penetration length of light Diesel fuel under
evaporating conditions for three different gas pressures: (a)
30 bar, (b) 60 bar and (c) 90 bar.
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Copyright © 2012 by ASME
Penetration lengths of the dense and contour spray for the
three different ambient pressures are visualized in Figure 7 for
light Diesel. Following an identical evolution at the early stages,
a separation between the dense spray from the contour thereof is
evident, which is due to rapid evaporation of the small droplets
resulting from secondary break-up. The simulation is capable to
capture this effect and the trend of an increased separation
distance by reducing gas pressure is qualitatively correctly
reproduced. Separation lengths are however moderately overpredicted for all gas densities (22, 23 and 19 % for 90, 60 and
30 bar, respectively). Compared to experiments, the simulations
show a weaker separation of the dense part from the spray tip
contour. It is unclear if these differences stem from the
numerical spray solution procedure itself or from the definition
of the dense spray length during the post-processing; further
investigations of evaporating sprays are required to clarify the
origin of the discrepancies.
The two sprays shown above in Figure 6 (lower) compare
simulated and measured shadow images for the 90 bar case.
Droplet evaporation is almost completed after approximately
160 mm and the predicted spray shape qualitatively agrees well
with the experiment. Although no measurements concerning
fuel vapor distributions are available for comparison, the
predicted fuel vapor mass fraction iso-contours at 5 ms after
SOI are presented in Figure 8 to illustrate the pressure influence
on the evaporation. The structure is conceptually similar to that
of sprays from injectors with smaller diameters, with a dense
and a dilute spray at 50-100 d0 from the injector [23].
enhanced by reducing injection pressure and by increasing
injector orifice diameter [25].
Heavy fuel oil
Recent measurements performed with HFO injection at
900 K ambient temperature did not show a separation between
dense and contour spray because of the poor evaporation
characteristics of the fuel [10]. The fuel is discretized into five
components for which the six liquid properties required by the
numerical model (surface tension, cp, density, viscosity, latent
heat and vapor pressure) are tabulated in temperature. The
evaporation is then treated by the built-in multi-component
model [12]. HFO penetration depth comparisons for three
different ambient pressures are presented in Figure 9. As for the
Diesel cases discussed above, the dependence of the gas density
is well described, although for increasing pressure, the
simulation progressively overestimates the penetrations.
Figure 9: Comparison simulation (dotted lines) with
experiment (straight lines) of penetration length with HFO
at 900 K gas temperature and three different gas pressures:
30 bar (blue), 60 bar (green) and 90 bar (red).
Figure 8: Light Diesel fuel vapor mass fraction distribution
at 2 ms after SOI and 900 K gas temperature with different
ambient pressures: 30 bar (upper), 60 bar (middle) and
90 bar (lower).
A fuel rich region is formed at the location where strong
evaporation takes place. However, the main difference is that,
for the large injector orifices as considered in this study, the
expected lift-off height during the steady injection period is
shorter with respect to the liquid length [24]. Therefore there is
a region with burning droplet, which is not the case with smaller
injector orifice diameters of about 100 µm. As a consequence, a
larger amount of soot formation is expected. This effect is
Figure 10 compares the computed and experimental shadow
images at 5 ms after SOI for the 90 bar case. Note that the
experimental image is not available for the entire domain.
Images of the different windows at this moment are
superimposed [10]. In both cases the spray is dense. Simulation
over-predicts the length of the spray.
The influence of the fuel quality has a strong impact on the
spray evolution and evaporation. For the same conditions of the
former figure, distribution of the Sauter Mean Diameter (SMD)
for HFO and light Diesel fuel are shown (Figure 11). In the first
100 mm from the nozzle, droplet size distribution is similar for
both fuels, although SMD for HFO is slightly larger in
agreement with observations in [2]. A strong decrease in droplet
size is observed at around 50 mm, which is mainly due to
secondary droplet break-up. This distance corresponds to
roughly 60 d0 and is in agreement with various findings
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Copyright © 2012 by ASME
reported in the literature (see e.g. the review presented in [26]).
Since HFO is injected at elevated temperatures to lower the
viscosity to values similar in magnitude to that of Diesel, the
surface tension and densities of the two fuels are comparable
and, as a consequence, similar break-up occurs. As observed in
Figure 6, liquid droplets of light Diesel fuel evaporate
completely after roughly 170 mm, while liquid HFO continues
to penetrate considerably further downstream.
the fuel vapor mass fraction deriving from HFO mixture is
considerably lower. This is attributed to only a small fraction of
lighter components in the liquid fuel on the one hand and, to a
larger extent, substantially lowers vapor pressures of the heaver
components (several orders of magnitude) on the other. The
initial evaporation of the HFO mixture is hence mainly due to
lighter hydrocarbon components, which show preferential
evaporation properties [5] and are responsible for the ignition
of the mixture. Heavier components are vaporized and burned
once the flame heats up those components. While considerable
uncertainties are likely to be present concerning the
composition of HFO in practice, nonetheless numerical
simulation can provide qualitative information on the spray and
combustion characteristics.
Figure 10: Simulated (upper) and measured (lower) shadow
images with HFO at 90 bar and 900 K and 5 ms after SOI.
Figure 12: Fuel vapor mass fraction of HFO (upper) and
light Diesel (lower) with 900 K temperature and 90 bar
pressure at 1 ms after SOI.
Figure 11: Droplet Sauter Mean Diameter (SMD)
distribution for HFO (upper) and light Diesel fuel (lower) at
90 bar and 900 K and 5 ms after SOI.
The evaporation characteristics are essential for autoignition and flame propagation behavior. As shown e.g. in [27],
ignition occurs at the most reactive mixture fraction. Since the
ignition delay however strongly depends also on the time
history of the scalar dissipation rate, accurate predictions are
only possible if both accurate evolutions of velocity and
turbulence fields are available as well as the correct mixture
distribution. Figure 12 gives an impression of the fuel vapor
availability at 1 ms after SOI, which is representative for the
ignition delay at those thermodynamic conditions. As expected,
CONCLUSIONS
Numerical simulations of fuel injection for a nozzle size
characteristic for large two-stroke marine Diesel engines
(0.875 mm hole-diameter) have been carried out for a broad
range of test cases, including evaporating and non-evaporating
conditions, three different ambient densities and two different
fuels for a total of nine different operating conditions. Results
have been directly validated against experimental data for
penetration length and macroscopic spray morphology obtained
from high speed shadow imaging. In analogy to the
experimental post-processing of the spray shadow images, a
novel post-process methodology for distinction between
simulated dense and contour spray penetration length has been
proposed and applied in this study, by means of which
additional information from the spray can be obtained.
Grid sensitivity with respect to penetration length under
non-evaporating conditions showed the best results with a mesh
size of 2 mm, corresponding approximately to twice the injector
hole-diameter, which is consistent with recommendations from
previous studies for smaller injectors.
Under non-evaporating conditions, the penetration length
for light Diesel fuel was well captured for all gas densities
7
Copyright © 2012 by ASME
considered and good qualitative agreement of the predicted
spray morphology with the measurements was found.
Under evaporating but non-reactive conditions, the two
trends of faster penetration and increasing separation between
dense and contour spray when reducing ambient gas pressure
were correctly described, indicating a correct representation of
the evaporation behavior at different gas pressures;
quantitatively, the penetration length were moderately overpredicted.
The influence of fuel quality was studied by injecting HFO,
which was approximated by a five-component mixture. With the
low fuel quality, the penetration lengths were mildly overpredicted, the trend with respect to the ambient gas pressure as
well as the spray morphology however well captured. In
agreement with the experiment, evaporation was found to be
drastically reduced. This is mainly due to the substantially
lower vapor pressures for the heavier components which also
constitute the largest portion of the fuel.
In this study, a first validation of the spray characteristics
under conditions relevant for large two-stroke marine Diesel
engines was performed, which forms a prerequisite for future
efforts towards predicting the flame structure and emission
formation.
NOMENCLATURE
Projected droplet surface area
Adrop
CFD
Computational Fluid Dynamics
Injector orifice diameter
d0
FIA
Fuel ignition analyzer
LFO
Light fuel oil
HFO
Heavy fuel oil
SCC
Spray Combustion Chamber
SOI
Start of injection
TR
Transmission ratio
VCVCC
Visual constant-volume combustion chamber
χ
Smoothing rate
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
ACKNOWLEDGMENTS
The authors thank Beat von Rotz and Kai Herrmann,
Wartsila Switzerland Ltd., for providing experimental data,
post-processing and fruitful discussion.
The present work has been conducted as part of the
HERCULES-B project within EC‘s 7th Framework Program,
Contract SCP7-GA-2008-217878. Financial support by the
Swiss Federal Government (SER Contract number 154269,
SFOE grant numbers 103241 and 102688) is gratefully
acknowledged.
[13]
[14]
[15]
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