Upload
christopher-h
View
214
Download
0
Embed Size (px)
Citation preview
American Institute of Aeronautics and Astronautics
1
Green Propellant Infusion Mission Plume Impingement
Analysis
John T. Yim1 and Brian D. Reed
2
NASA Glenn Research Center, Cleveland, OH, 44135
and
Christopher H. McLean3
Ball Aerospace & Technologies Corporation, Boulder, CO, 80301
The Green Propellant Infusion Mission (GPIM) is a Technology Demonstration Mission
(TDM) project, sponsored by NASA’s Space Technology Mission Directorate (STMD). The
goal of GPIM is to demonstrate the capability of a green propulsion system, specifically, one
using the monopropellant, AF-M315E. The GPIM propulsion system will be flown as a
payload on a Ball Aerospace BCP-100, a small, standardized spacecraft. The propulsion
system will have one 22 N thruster for primary divert manuevers and four 1 N thrusters for
attitude control. One of the risks identified for GPIM is potential contamination of sensitive
areas of the spacecraft from the effluents in the plumes of AF-M315E thrusters. NASA
Glenn Research Center (GRC) is conducting activities to mitigate the AF-M315E plume risk.
The plume risk mitigation activities include modeling the plume flow fields of the AF-M315E
thrusters, assessing the plume impingement on the BCP-100 spacecraft including the impact
on the power generating capabilities of the solar arrays, and conducting ground-based
plume measurements on an AF-M315E thruster to correlate the plume modeling with plume
data. This paper describes the preliminary results from the first activity, plume modeling
and plume impingement analysis. Plume flow fields of the 22 N and 1 N thrusters have been
modeled using both the method-of-characteristics based Reacting And Multi-Phase
(RAMP2) code and the Hypersonic Aerothermodynamics Particle (HAP) Direct Simulation
Monte Carlo (DSMC) code. The density and temperature plume flow fields are presented, as
well as species concentration at different locations in the plume. Chamber pressures from
400 psia to 100 psia are examined, simulating the GPIM propulsion system operating in
blowdown mode. Both equilibrium and frozen flow assumptions are also investigated. The
plume impingement on the BCP-100 spacecraft are evaluated, using both the PLume
IMPingement program (PLIMP) and also HAP. The heating rates on the spacecraft surfaces
are found to be fairly benign. Species flux on the surfaces are also examined, with hydrogen
gas found to be the dominant species in the backflow region. The simulations from both
models are planned to be compared to forthcoming plume measurement data, when AF-
M315E thruster testing is conducted.
I. Introduction
ONOPROPELLANT propulsion systems offer greater simplicity, reliability, and lower cost over higher
performance bipropellant systems. Hydrazine (N2H4) has been the standard monopropellant of choice for the
past several decades for attitude control and small delta-V maneuvers. However, hydrazine’s toxicity and
flammability hazards have led to research of “green” monopropellant formulations that will reduce environmental,
health, and safety impacts.1-2
In addition, certain green monopropellants are being pursued which have higher
storage densities and specific impulses as compared to hydrazine.3 The Green Propellant Infusion Mission (GPIM)
will demonstrate one such monopropellant, AF-M315E, through integration of a green monopropellant propulsion
1 Aerospace Engineer, Space Propulsion Branch, 21000 Brookpark Rd. MS 86-8, AIAA Member.
2 GPIM Co-Investigator, Space Propulsion Branch, 21000 Brookpark Rd. MS 86-8.
3 GPIM Principal Investigator, Mission Systems Engineering, 1600 Commerce Street, AIAA Senior Member.
M
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
49th AIAA/ASME/SAE/ASEE Joint PropulsionConference
July 14 - 17, 2013, San Jose, CA
AIAA 2013-3850
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
2
system onto a BCP-100 spacecraft.4-6
The mission will demonstrate two classes of AF-M315E thrusters, one main
22 N thruster for primary divert maneuvers and four smaller 1 N thrusters for attitude control.
One concern with any new propellant is how the resultant plume may potentially interact with the rest of the
spacecraft. Thus, within the GPIM project, an effort is underway to characterize the AF-M315E plumes through
both modeling and test-based approaches at the NASA Glenn Research Center (GRC).6 Preliminary results of the
plume modeling effort are the focus of this paper, with subsequent work planned to experimentally characterize the
plume as well as further efforts to model the specific impact on the solar arrays.
Two modeling approaches are used to analyze the plumes, particularly from density, species, and heat transfer
standpoints, and are further described below. The general composition and characteristics of the plumes are
described as well as the expected impacts on nearby spacecraft surfaces of the BCP-100.
II. Model Description
Two models were used to examine the plume properties of the GPIM thrusters operating on AF-M315E. The
first used the Reacting And Multi-Phase (RAMP2) / PLume IMPingment (PLIMP) program combination. The
second method used the Hypersonic Aerothermodynamics Particle (HAP) code. Both RAMP2 / PLIMP and HAP
were used to examine both the 22 N thruster with a 50:1 area ratio and the 1 N thruster with a 100:1 area ratio. For
the GPIM mission, the thrusters will operate on blowdown mode with expected chamber pressures at beginning of
life of approximately 400 psia (27.6 bar) and decreasing by end of life to approximately 100 psia (6.9 bar).
A. RAMP2 / PLIMP
RAMP2 is an axisymmetric method-of-characteristics based code that calculates the plume flowfield beginning
from the thruster nozzle throat to the exit plane within a user supplied nozzle profile.7 It also calculates the plume
flowfield expansion beyond the exit plane. It has the capabilities to account for nozzle boundary layers, multi-phase
flow, and flow chemistry among other options. A Chemistry Equilibrium with Applications (CEA) code equivalent
is used to generate the flow properties which are input into RAMP2.
The RAMP2 flowfield can be used as an input to the PLIMP code to subsequently calculate forces, moments,
pressures, heating rates, and species contamination on surfaces specified by the user.8 PLIMP has the capability to
apply the appropriate flow regime from turbulent viscous flow to free molecular, to determine the appropriate
surface impingement properties. RAMP2 and PLIMP have been used for a number of plume impingement studies
including Shuttle Reaction Control System (RCS) and solid rocket boosters, Orion Service Module (SM) RCS
engines, and Space Launch System (SLS) solid rocket boosters among others.9-11
B. HAP
HAP is an implementation of the Direct Simulation Monte Carlo (DSMC) method.12
The DSMC method is a
particle-based gas flow simulation technique which is derived from principles of kinetic theory. A large population
of simulated particles is tracked through the computational domain, with a combination of deterministic particle
movement routines and probabilistic binary collision routines, in order to simulate underlying physics in the
governing Boltzmann equation. Other DSMC implementations have been successfully used for plume flow and
plume impingement studies.13-14
For example, the DSMC Analysis Code (DAC), has been applied to model plumes
for several different programs including plume impingement on the International Space Station, the Orion SM RCS
engines, and the Altair lunar lander ascent engine among others.15-17
These efforts have shown that DSMC is a
viable method to simulate and analyze plume flows and resulting plume impingement.
The HAP code is a general Cartesian implementation of DSMC, with features including dynamic grid
adaptation; shared memory parallelization; and options to import externally defined surface geometries or to
automatically generate triangulated surfaces based on analytical geometry definitions. In particular, a useful ability
of the code is the use of a collision limiter scheme with a gradient-based local time step adaptation to selectively
reduce numerical errors from multiple sources (e.g. incomplete equilibration, operator splitting, finite collision
separation) within regions which are especially prone to inaccuracy.18
This allows for efficient calculation of the low
Knudsen number regions of the flow without being overly diffusive. With this capability, an inflow boundary
applied at the thruster exit plane was able to be implemented. The CEA program is used to generate the species
composition, plume density, temperature, and flow velocity at the appropriate area ratios to be used for the inflow
boundary conditions. HAP then calculates the resultant expansion flow of the thruster plume. A geometry model of
the BCP-100 spacecraft was also imported into the program and the particle flux and heat transfer were calculated at
the surfaces. For the 22 N and 1 N free plume flow studies and the 22 N case for spacecraft interaction, symmetry
planes were utilized in the lateral directions to reduce the computational requirements. Due to the inherent
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
3
asymmetry of the 1 N thruster position and vector on the BCP-100, no symmetry advantages were applied for that
particular model. Typical runs averaged on the order of a million simulated particles at the steady state condition.
III. Results and Discussion
Both sets of codes were run for the 22 N thruster (50:1 area ratio) and a comparison of the free plume flowfield
is performed. Two different chamber pressures (400 and 100 psia), and both equilibrium and frozen flow
assumptions are examined with each code. Sample contour plots of the plume density and temperature in vacuum
for the 22 N thruster at 400 psia chamber pressure and equilibrium flow are shown in Figure 1. Going more in detail
of the plume flowfield variations, the overall number density of the plume are shown for both axially along the
thruster centerline and azimuthally at a 10 cm radius from the center of the thruster exit plane in Figure 2. The
RAMP2 density results are higher than the HAP results, particularly near the thruster and in the backflow region.
However the results between the two codes are generally within the same order of magnitude. As would be
expected, the number density is strongly correlated to the chamber pressure, with about a four to one ratio
corresponding to the 400 and 100 psia cases. The differences between the equilibrium and frozen flow cases are
minor, though HAP predicts a higher density in the backflow region of the plume for equilibrium flow as compared
to frozen.
Figure 1. Plume density (left) and temperature (right) for the 22 N thruster with a chamber pressure of
400 psia and equilibrium flow as calculated by RAMP2 (top) and HAP (bottom). Grid lines use a 10 cm
spacing.
Figure 2. Plume number density along the thruster centerline (left) and at a 10 cm radius from the center of
the thruster exit plane (right).
Part of the reason for the differences in the backflow region of the plume is due to differences in the chemical
species makeup of the plumes between frozen and equilibrium flow. Figure 3 plots the major species of the
AF-M315E plume at a 10 cm radius from the center of the thruster exit plane as calculated by HAP. Trace species,
including ammonia, nitrogen oxide, atomic hydrogen, and the hydroxyl radical, are not shown for clarity. One of the
main differences seen between the chemical compositions of frozen and equilibrium flow is the significant presence
of carbon monoxide in frozen flow, while for an equilibrium assumption, it comprises less than 0.15% of the plume
by number density. Methane becomes the fifth main constituent instead, though it is below 0.5% itself. It can be
seen at large angles from the thrust axis that hydrogen is the dominant species by far, and that the difference in the
1E+20
1E+21
1E+22
1E+23
1E+24
0 0.1 0.2 0.3 0.4
Plu
me
nu
mb
er d
ensi
ty [
1/m
3]
Axial distance from thruster exit plane [m]
400 psi, equil., RAMP2
400 psi, equil., HAP
400 psi, frozen, RAMP2
400 psi, frozen, HAP
100 psi, equil, RAMP2
100 psi, equil, HAP
100 psi, frozen, RAMP2
100 psi, frozen, HAP1E+17
1E+18
1E+19
1E+20
1E+21
1E+22
1E+23
0 15 30 45 60 75 90 105 120 135
Plu
me
nu
mb
er
den
sity
[1
/m3
]
Angle from thruster centerline [deg]
400 psi, equil, RAMP2
400 psi, equil, HAP
400 psi, frozen, RAMP2
400 psi, frozen, HAP
100 psi, equil., RAMP2
100 psi, equil., HAP
100 psi, frozen, RAMP2
100 psi, frozen, HAP
RAMP2
HAP
RAMP2
HAP
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
4
hydrogen density between frozen and equilibrium flow accounts for the difference in the overall density in that
region. These trends are further highlighted in Figure 4, which shows area plots of the relative molar fractions of the
major species of the plume for both equilibrium and frozen flow. Species with a mole fraction below 0.01 (1%) are
not shown for clarity. The dominance of hydrogen is again seen in the wide angles from the thrust centerline. At
smaller angles, within 45° of the thrust axis, water is seen to comprise the majority of the plume with notable
fractions of carbon dioxide and nitrogen. Condensation of water on sensitive surfaces is a potential concern of the
use of AF-M315E, and thus its propagation as it exits the thruster is an area of interest. This analysis indicates water
comprises less than 1% of the plume by mole fraction past 75°, and less than 0.1% beyond approximately 90° from
the thrust axis. Methane comprises less than 0.1% of the plume by mole fraction past approximately 60°, and the
other trace species are well under 0.1% of the plume throughout the entire domain. The dominance of hydrogen—
primarily of H2, and to a much lesser extent, atomic hydrogen—in the backflow region is likely due to their low
atomic mass compared to the other species. Indeed, the relative rate of drop off in number density of the species at
larger angles appears to be correlated to their molecular weight. Gas molecular collisional events in the plume are
more likely to give lower weight atoms and molecules a greater scattering angle compared to the other species, and
thus subsequently disproportionately populate the backflow region.
Figure 3. Plume species number density at a 10 cm radius from the center of the 22 N thruster exit plane for a
400 psia chamber pressure case.
Figure 4. Plume species molar fractions assuming equilibrium flow (left) and frozen flow (right) at a 40 cm
radius from the center of the 22 N thruster exit plane.
1E+15
1E+16
1E+17
1E+18
1E+19
1E+20
1E+21
1E+22
1E+23
0 15 30 45 60 75 90 105 120 135
Nu
mb
er
de
nsi
ty [
1/m
3]
Angle from thruster centerline [deg]
CH4
CO2
H2
H2O
N2
CO
CO2
H2
H2O
N2Eq
uili
bri
um
Fro
zen
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 10 20 30 40 50 60 70 80 90
Plu
me
mo
lar
com
po
siti
on
[%
]
Angle from thruster centerline [deg]
H2
CO2
N2
H2O
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 10 20 30 40 50 60 70 80 90
Plu
me
mo
lar
com
po
siti
on
[%
]
Angle from thruster centerline [deg]
H2
CO
CO2
N2
H2O
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
5
In addition to the chemical makeup of the plume, an area of potential concern is the heating due to plume
impingement. As a first order approximation, the total kinetic energy of the plume is calculated, and the cumulative
amount of energy within certain half-angle cones around the thrust axis is summed. Figure 5 presents the percentage
of the plume energy within a given cone half-angle as calculated by HAP, and it should be noted that the RAMP2
results are very similar. A rough rule of thumb that is sometimes quoted for hydrazine thrusters assumes
approximately 92% of the plume thermal energy is contained with a 30° cone. This same rule of thumb is seen to
hold for AF-M315E as well in Figure 5, as examined across a number of cases. Differences in chamber pressure or
plume chemistry do not appear to have a significant effect on these trends.
Figure 5. Cumulative percent of total plume kinetic energy for the 22 N thruster.
Similar to the analyses performed on the 22 N thruster, the 1 N thruster (with a 100:1 area ratio) was also
examined. The simulated plume flowfield density and temperature of the 1 N thruster in a vacuum environment is
shown in Figure 6. The results shown correspond to a 400 psia chamber pressure and equilibrium flow. As with the
22 N thruster simulation results, the two codes are fairly comparable downstream, but with differences in the very
near field and at large angles from the thrust axis.
Figure 6. Plume density (left) and temperature (right) for the 1 N thruster with a 400 psia chamber pressure
and equilibrium flow as calculated by RAMP2 (top) and HAP (bottom). Grid lines are at a 10 cm spacing.
The chemical makeup of the 1 N thruster plume is very similar to the 22 N plume. Figure 7 shows a semi-log
plot of the species number density at a 10 cm radius from the center of the thruster exit plane. Water again
comprises over half of the plume within an approximately 45° cone, with notable presence of carbon dioxide,
nitrogen, and to a lesser extent, carbon monoxide in the frozen flow assumption. Hydrogen again dominates at large
angles. The amount of methane is also relatively larger in the equilibrium case, where it now comprises 1 – 2% of
the plume in the downstream region within approximately 60° of the thrust axis.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 15 30 45 60 75 90
Cu
mu
lati
ve p
erce
nt
of
tota
l p
lum
e ki
net
ic e
ner
gy [
%]
Angle from thruster centerline [deg]
400 psi, equil.
400 psi, frozen
100 psi, equil.
100 psi, frozen
RAMP2
HAP
RAMP2
HAP
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
6
Figure 7. Plume species number density at a 10 cm radius from the center of the 1 N thruster exit plane for a
400 psia chamber pressure case.
The thermal energy of the 1 N thruster plume follows closely to the 22 N results presented above in Figure 5.
Again, the approximate rule of thumb of 92% of the plume thermal energy being contained within a cone with a
half-angle of 30° from the thrust axis appears to hold for the AF-M315E 1 N thruster as well. This is observed
across different chamber pressures, frozen vs. equilibrium flow, and the two codes as also mentioned for the 22 N
thruster above.
In addition to the free plume flow studies, the interaction with the BCP-100 spacecraft as configured for GPIM is
examined. Two cases are examined, the main 22 N thruster firing and a single 1 N thruster firing. The 22 N thruster
is aligned normal to the backplane of the spacecraft. The heating rate on the spacecraft is calculated by PLIMP using
the 22 N RAMP2-calculated flowfield as an input with the results shown in Figure 8. The expected worst case
assumptions, namely the maximum chamber pressure of 400 psia and equilibrium chemistry, are used to generate
the results. The maximum heating rate on the spacecraft bus is calculated as 27 W/m2. The solar arrays see a
maximum heating rate of approximately 1 W/m2. The 400 psia chamber pressure, equilibrium flow, 1 N RAMP2
results are also input into PLIMP, and are aligned to match the 50° canting angle away from the backplane of the
spacecraft. The results for a single 1 N thruster are also shown in Figure 8. Here the maximum heating rate on the
bus is now 127 W/m2, and on the solar arrays, 2 W/m
2. The increase in heating rate on the backplane surface is due
to the closer thrust vector alignment of the 1 N thrusters to the spacecraft compared to the 22 N. The interaction with
the GPIM spacecraft is also examined using HAP. The 22 N and 1 N thruster cases are shown in Figure 9. The
calculated heating rates are somewhat lower than that calculated by RAMP2 and PLIMP. For the 22 N case, the
maximum heating rate on the bus is 10 W/m2
and approximately on the order of 0.1 W/m2 on the solar arrays. For
one 1 N thruster firing, the heating rate on the bus is lower, at 8 W/m2 with negligible heating on the solar arrays.
The reason behind the heating rate discrepancies are still unclear. Future testing will help to provide additional data
on the backflow region and to determine which value is a better suited for this scenario.
Figure 8. Heating rates calculated by RAMP2/PLIMP on the BCP-100 spacecraft surfaces from the central 22
N thruster firing (left) and the lower left 1 N thruster firing (right).
1E+16
1E+17
1E+18
1E+19
1E+20
1E+21
1E+22
0 15 30 45 60 75 90 105 120
Nu
mb
er
de
nsi
ty [
1/m
3]
Angle from thruster centerline [deg]
CH4
CO2
H2
H2O
N2
CO
CO2
H2
H2O
N2
Equ
ilib
riu
mFr
oze
n
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
7
Figure 9. Heating rates calculated by HAP on the BCP-100 spacecraft surfaces from the central 22 N thruster
firing (left) and the lower left 1 N thruster firing (right).
The fluxes of various plume chemical species on the spacecraft surfaces are also examined. The number fluxes
on the GPIM spacecraft surfaces of the major species from the 22 N thruster with a chamber pressure of 400 psia are
calculated. The worst-case, or maximum flux, for hydrogen gas and water vapor arise from the equilibrium
assumption and those cases are shown in Figure 10. As was seen earlier, hydrogen gas is by far the dominant species
in the backflow region impinging on the spacecraft surfaces, likely due to its notable presence in the main plume
flow and low molecular weight as speculated above. For the frozen flow case, atomic hydrogen is also notably
present, and is also shown in Figure 10. The 1 N thruster case is also examined and results presented in Figure 11.
Again the 400 psia chamber pressure is assumed for worst case fluxes. For this case, a significant increase in water
vapor is seen, though it is still at least two orders of magnitude lower than hydrogen gas, which still dominates the
impingement on the spacecraft surfaces.
Figure 10. Plume species number flux on the GPIM spacecraft surfaces for the 22 N thruster with 400 psia
chamber pressure and equilibrium flow for H2 (left) and H2O (center), and frozen flow for H (right).
Figure 11. Plume species number flux on the GPIM spacecraft surfaces for the 1 N thruster with 400 psia
chamber pressure and equilibrium flow for H2 (left) and H2O (center), and frozen flow for H (right).
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
8
IV. Conclusion
A characterization of the AF-M315E green monopropellant plume was examined for the GPIM mission. Two
sets of modeling tools, RAMP2 / PLIMP and HAP, were used to simulate the thruster plume in vacuum and the
resultant impingement properties on the BCP-100 spacecraft bus. Two thruster classes were examined, the 50:1 area
ratio 22 N main thruster and the 100:1 area ratio 1 N attitude control thrusters. The density profiles in the axial and
azimuthal directions were calculated as well as the chemical species composition of the plume. Water vapor is noted
to comprise more than half of the plume by molar fraction within approximately 45° of the thrust axis, with a
notable presence of both carbon dioxide and nitrogen gas. At large angles from the thrust axis, hydrogen gas was
found to be the dominant species. The azimuthal distribution of chemical species was found to correlate to the
molecular weight of the species, with the lighter molecules having a greater probability of being scattered at larger
angles. These same trends were observed for the species impinging on the GPIM spacecraft bus and solar array
surfaces.
The thermal aspects of the plume and plume impingement were also examined. The AF-M315E thrusters were
found to generally obey a rule of thumb also seen for hydrazine where 92% of the thermal energy of the plume is
contained within a cone with a half-angle of approximately 30° from the thrust vector. The heating rate of the GPIM
spacecraft due to the AF-M315E plume impingement was also calculated. The modeled heating rates were benign; a
maximum heating rate of 127 W/m2 was observed with the RAMP2 / PLIMP results.
The goal of this work is to help the adoption of AF-M315E as a viable replacement for hydrazine due to its
superior handling characteristics and higher density specific impulse. From the preliminary results presented here,
no obvious issues were immediately identified from a thermal or contamination standpoint, though further
assessment is required including a full analysis of the consequences, if any, of the plume deposition on the solar
arrays and other sensitive surfaces. NASA GRC also plans to pursue experimental characterization of the AF-
M315E plume within the next year, which will also help to verify the results of these models.
Acknowledgments
The first author would like to thank Jonathan Burt for the HAP code he originally developed for the Air Force,
and for insight into its application for plume impingement studies. The authors also acknowledge excellent support
by Adam Sexton at Ball Aerospace with regards to CAD model assistance. The programmatic support of David
Frate at NASA GRC is also gratefully noted.
References 1Jankovsky, R. S., “HAN-Based Monopropellant Assessment for Spacecraft,” 32nd AIAA/ASME/SAE/ASEE Joint Propulsion
Conference, Lake Buena Vista, FL, AIAA-96-2863, July 1996. 2Zube, D. M., Wucherer, E. J., and Reed, B. D., “Evaluation of HAN-Based Propellant Blends,” 39th AIAA/ASME/SAE/ASEE
Joint Propulsion Conference and Exhibit, Huntsville, AL, AIAA-2003-4643, July 2003. 3Hawkings, T. W., Brand, A. J., McKay, M. B., and Tinnirello, M., “Reduced Toxicity, High Performance Monopropellant at
the U.S. Air Force Research Laboratory,” 4th International Association for the Advancement of Space Safety Conference,
Huntsville, AL, May 2010. 4McLean, C. H., Spores, R., and Sheehy, J. A., “Green Propellant Infusion Mission, Program Construct, and Mission
Objectives,” 60th JANNAF Propulsion Meeting, Colorado Springs, CO, May 2013. 5McLean, C. H., Hale, M. J., Deininger, W. D., Spores, R. A., Frate, D. T., Johnson, W. L., and Sheehy, J. A., “Green
Propellant Infusion Mission Program Overview,” 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, San Jose,
CA, July 2013. 6Reed B., Deans, M., Yim, J., Bury, K., Williams, G., McLean, C., and Sheehy, J., “Green Propellant Infusion Mission Plume
Impingement Analysis Approach,” 60th JANNAF Propulsion Meeting, Colorado Springs, CO, May 2013. 7Smith, S. D., “High Altitude Chemically Reacting Gas Particle Mixtures,” NASA CR-171826, August 1984. 8Bender, R. L., Somers, R. E., Prendergast, M. J., Clayton, J. P., and Smith, S. D., “1991 Version of the Plume Impingement
Computer Program,” NASA CR-194192, October 1991. 9Rochelle, Wm. C., Hughes, J. R., DeVenezia, J., Bouslog, S. A., Leahy, K. S., and Fitzgerald, S. M., “Plume Impingement
Heating to International Space Station (ISS),” 30th AIAA Thermophysics Conference, San Diego, CA, AIAA-95-2132, June 1995. 10Wang, X. J., Lumpkin, F. E., Gati, F., Yuko, J. R., and Motil, B.J., “Orion Service Module Reaction Control System Plume
Impingement Analysis Using PLIMP/RAMP2,” 47th AIAA Aerospace Sciences Meeting and Exhibit, AIAA-2009-0834, January
2009. 11Mehta, M., Williams, B., Putnam, G. C., and Smith, S. D., “Numerical Modeling of Solid Rocket Motor Plumes,” 2012
Thermal and Fluids Workshop, Pasadena, CA, August 2012. 12Burt, J. M., Josyula, E., and Boyd, I. D., “Novel Cartesian Implementation of the Direct Simulation Monte Carlo Method,"
Journal of Thermophysics and Heat Transfer, Vol. 26, No. 2, pp. 258-270, 2012.
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.
American Institute of Aeronautics and Astronautics
9
13Ketsdever, A. D., Lilly, T. C., Gimelshein, S. F., and Alexeenko, A. A., “Experimental and Numerical Study of Nozzle
Plume Impingement on Spacecraft Surfaces," 24th International Symposium on Rarefied Gas Dynamics, Bari, Italy, AIP Conf.
Proc. Vol. 762, pp. 367-372, July 2004. 14Kannenberg, K. C., and Boyd, I. D., “Three-Dimensional Monte Carlo Simulations of Plume Impingement," Journal of
Thermophysics and Heat Transfer, Vol. 13, No. 2, pp. 226-235, 1999. 15Lumpkin, F. E., III, Marichalar, J., Stewart, B. D., “High Fidelity Simulations of Plume Impingement to the International
Space Station," 33rd JANNAF Exhaust Plume and Signatures Subcommittee Meeting, Monterey, CA, December 2012. 16Prisbell, A., Marichalar, J., Lumpkin, F., and LeBeau, G., “Analysis of Plume Impingement Effects from Orion Crew
Service Module Dual Reaction Control System Engine Firings," 27th International Symposium on Rarefied Gas Dynamics,
Pacific Grove, CA, AIP Conf. Proc. Vol. 1333, pp. 595-600, July 2010. 17Marichalar, J., Prisbell, A., Lumpkin, F., and LeBeau, G., “Study of Plume Impingement Effects in the Lunar Lander
Environment," 27th International Symposium on Rarefied Gas Dynamics, Pacific Grove, CA, AIP Conf. Proc. Vol. 1333, pp. 589-
594, July 2010. 18Burt, J. M. and Josyula, E., “Efficient Direct Simulation Monte Carlo Modeling of Very Low Knudsen Number Gas
Flows," 52nd AIAA Aerospace Sciences Meeting, National Harbor, MD, January 2014. (submitted for publication)
Dow
nloa
ded
by P
EN
NSY
LV
AN
IA S
TA
TE
UN
IVE
RSI
TY
on
Oct
ober
8, 2
013
| http
://ar
c.ai
aa.o
rg |
DO
I: 1
0.25
14/6
.201
3-38
50
This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States.