Purdue University - GROUP 2 PRESENTATIONS › AAECourses › aae450 › 2018 › ...2018/02/27 ·...
Transcript of Purdue University - GROUP 2 PRESENTATIONS › AAECourses › aae450 › 2018 › ...2018/02/27 ·...
GROUP 2 PRESENTATIONS
February 27th, 2018
2/27/2018 1
FINALIZING PROJECT DESIGN
Ricardo GomezAssistant Project Manager
Feb 27th, 2018
2/27/2018 2
PROBLEM: FINDING FOCUS
• It can be easy to focus on optimizing small details within each system instead of solving the main unresolved design changing aspects of the system
• Solving the issues that affect other systems for last can cause other teams to miss their deadlines
• Periods of decreased productivity can arise after finishing CDR due to the satisfaction of finishing an arduous task
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• Science Support:• Redesign rovers for science missions• Find Resources required for labs• Make final selection of science sites
• Ground Transport:• Finish analysis of total rail
infrastructure and replenishing rates• Coordinate with resources and
manufacturing to assure amounts of resources and materials can be transported.
• Space Transport:• Conduct analysis for smaller launch
vehicle• Finalize total number of launches per
year and resources required• Comms Infrastructure:
• Finalize station keeping analysis and size propellant tanks accordingly
• Work with space transport to coordinate number of launches required2/27/2018 4
SOLUTION: CLARIFYING PRIORITIES• City:
• Finish power analysis• Finalize required resources to maintain
city• Make city a joy to live in
• Food:• Finish mushroom mechanisms and
corresponding resources• Finalize outputs to other systems
• Resources:• Finalize lifecycle requirements and
materials required to maintain system• Coordinate with manufacturing to
assure provided rates match required manufacturing output
• Manufacturing:• Continue analysis on manufacturing
processes• As other systems finalize design, start
to finalize manufacturing requirements for different materials
WATER PIPELINE DESIGN AND ANALYSIS
Islam NazmyCOMMS
Resource Extraction02/27/2018
2/27/2018 5
PIPELINE REQUIREMENTS
• Designing a water pipeline to transport water from Martian icecaps to our city
• 200 km pipeline [Stephen Kubicki, JMARS]• 800m downhill [Stephen Kubicki, JMARS]
• Water is entering at 700 Pa, 5 ºC [Will Chlopan]• Flow rate: 3.27 kg/s [HF Requirements]
Water must come into a closed system at ambient pressure (100 kPa), and temperature must remain above 0 ºC throughout the pipeline.
• Pressure losses from friction.• Temperature loss to atmosphere.
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PIPELINE DESIGN AND ANALYSIS
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• Diameter = 0.5m• Re = 5499.9 (turbulent>4000)• V = 0.0167 m/s
• PVC lining (0.0015 mm)• Heat tracing to heat flow.
Temperature Change [ºC]
-0.01445
Pressure Change [kPa] 3005.76
Table 1: Analysis of pipeline for an insulated 0.5m diameter pipeline using Aspen Plus [3].
Per station Full pipeline
Pressure in [kPa] 430.094 0.700
Pressure out [kPa] 100.0 100.0
Power produced [kW] 1.0794 7.556
Temperature change [ºC] 0.0789 0.5520
Table 2: Performance of each turbine for seven turbine/heating stations along pipeline, every 28.6km.
Figure 1: Rendering of heat tracing around pipe [Adit Khajuria].
Figure 2: Rendering of pipe turbine blades [Adit Khajuria].
REFERENCES[1] “Hydropower” Available: https://www.engineeringtoolbox.com/hydropower-d_1359.html.
[2] “Reynolds Number & Pipe Flow,” Turbulent FlowAvailable: https://ocw.mit.edu/courses/mechanical-engineering/2-000-how-and-why-machines-work-spring-2002/study-materials/TurbulentFlow.pdf.
[3] Robert Econs, personal communication, Februrary 24, 2018.
[4] “Water - Viscosity table and viscosity charts,” ViscopediaAvailable: http://www.viscopedia.com/viscosity-tables/substances/water/.
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APPENDIX A – ICE CAP WELL
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Water Collection pipelineTotal Flow: 3.27 kg s-1
CAD images made by Adit Khajuria
APPENDIX B – ADVICE FROM CHEMICAL ENGINEERS [3]
• Due to such a high pressure increase, we should spread out the turbines along the pipe.
• Temperature losses are close to negligible because of the extremely thin atmosphere.
• Consider using iron as radiation shielding; carbon-carbon bonds break easily from GCR.
• Keep velocity low to reduce pressure losses from friction, but high enough for turbulent flow.
• Turbulent flow causes mixing; we can assume consistent temperature across our pipe.
• Turbulent flow is inevitable; may as well use it.
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APPENDIX C – PIPELINE SIMULATIONzero dz
Units WATERIN WATEROUTFrom SAMSPIPE
To SAMSPIPESubstream: MIXEDPhase: Liquid LiquidComponent Mole FlowWATER KMOL/HR 653.4453 653.4453Mole Flow KMOL/HR 653.4453 653.4453Mass Flow KG/HR 11772 11772Volume Flow L/MIN 193.673 193.673Temperature C 5 5Pressure BAR 1 0.9801453Vapor Fraction 0 0Liquid Fraction 1 1Solid Fraction 0 0Molar Enthalpy CAL/MOL -68613.9 -68613.9Mass Enthalpy CAL/GM -3808.65 -3808.65
Enthalpy Flow CAL/SEC -12454000 -12454000
Molar Entropy CAL/MOL-K -40.17895 -40.17895Mass Entropy CAL/GM-K -2.23027 -2.23027
Molar Density MOL/CC 0.0562327 0.0562327Mass Density GM/CC 1.013048 1.013048
Average Molecular Weight 18.01528 18.015282/27/2018 11
APPENDIX C – PIPELINE SIMULATION
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with dz
Units WATERIN WATEROUT
From SAMSPIPE
To SAMSPIPESubstream: MIXEDPhase: Liquid LiquidComponent Mole FlowWATER KMOL/HR 653.4453 653.4453Mole Flow KMOL/HR 653.4453 653.4453Mass Flow KG/HR 11772 11772Volume Flow L/MIN 193.673 193.673Temperature C 5 5Pressure BAR 1 80.45699Vapor Fraction 0 0Liquid Fraction 1 1Solid Fraction 0 0Molar Enthalpy CAL/MOL -68613.9 -68613.9Mass Enthalpy CAL/GM -3808.65 -3808.65
Enthalpy Flow CAL/SEC -12454000 -12454000
Molar Entropy CAL/MOL-K -40.17895 -40.17895Mass Entropy CAL/GM-K -2.23027 -2.23027
Molar Density MOL/CC 0.0562327 0.0562327Mass Density GM/CC 1.013048 1.013048
Average Molecular Weight 18.01528 18.01528
Note: this pressure gain is for Earth gravity. Multiply by 3.711/9.81 to change to Martian gravity.
APPENDIX D – POWER DESIGN CODE
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Polyvinyl (PVC) Manufacturing
William AdamsStructures Discipline
Resource Extraction and Manufacturing2/27/18
2/27/2018 14
The Problem
• PVC will be needed for use in construction and piping• Resources water pipe will require 70 kg/year (Islam
Nazmy)• Food production will require 180,700 kg (Jonathan
Rowher)
• Finding a feasible process that works on Mars as well as the materials needed• Ethylene • Chlorine (Resource Extraction produces 4.9 Mg/day)
• Health and safety aspects of production• Toxic chemicals like dioxin, hydrochloric acid, and vinyl
chloride are a byproduct
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The Solution• Suspension polymerization• Ethylene and chlorine react to form ethylene
dichloride• This is heated into a vinyl chloride monomer gas (VCM)
• Polymerization links VCM molecules into chains of PVC
• Additives are mixed to the PVC resin• Plasticizers, stabilizers, lubricants, fillers
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Mass Inputs: 2.9 Mg Chlorine2.24 Mg Ethylene
Power: 47 MJRate: 2 hours
Production of 1 Mg of PVC
CAD By Adit Khajuria
Appendix – Waste Emissions
17
Carbon Dioxide (CO2) 12.239 kgCarbon Monoxide (CO) 14.386 kgMethane (CH4) 14.141 kgHydrogen (H) 22.784 kgNitrogen (N) 3.524 kg
Waste output per 1 kg of produced PVC
References
• [1] “About PVC & The Industry,” Fendeck and Rail Available: http://www.pvcfencing.co.za/about-pvc-the-industry/.
• [2] “Eco-Profiles of the European Plastic Industry,” PlasticsEurope Available: http://www.inference.org.uk/sustainable/LCA/elcd/external_docs/epvc_31116f09-fabd-11da-974d-0800200c9a66.pdf.
• [3] Morawicki, R. O., ”Working on the Impacts,” Handbook of Sustainability for the Food Sciences, Somerset: Wiley, 2011, p. 295.
• [4] “PVC Production,” APM Solutions Available: http://apm-solutions.com/industries/pvc-production/.
• [5] “What is Polyvinvyl Chloride?,” Lenntech Water Treatment & Purification Available: https://www.lenntech.com/polyvinyl-chloride-pvc.htm.
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LOOKING TO METEORITES FOR RESOURCES
Megan HarwellScience
Resource ExtractionFebruary 27, 2018
192/27/2018
PROBLEMAre meteorites a reliable solution for resource requirement gaps?• Many of the required rare-Earth elements have an unknown abundance in
the Martian soil• Meteorites populate the surface of Mars [1]• Minimal weathering on surface of Mars leads to a higher likelihood of useful
samples [1]Approach• Constrain distribution of meteorites on the surface
• 500 – 50,000 meteorites/km^2 of meteorites 10 g or greater on the surface of Mars [1]• Colder, thinner atmosphere has slowed chemical weathering [1]
• Extrapolate composition of meteorites on surface from asteroid belt• Chondritic (~75%), Stony (~17%), Iron (~3%), HED (~5%)
• Determine contribution of micrometeorites to surface soil• 1.2% C1 chondrite composition as a uniform surface soil layer [2,3,4]2/27/2018 20
SOLUTION: METEORITE AT SITES
21
~750 km
Material Required by whom
Amount needed (Mg/day)
Expected Yield (Mg/day)
Met?
Molybdenum (Mo) Manufacturing, Food
6.19E-07 1.1025E-07 X
Chromium (Cr) City, GT, ST, Manufacturing
0.00656 2.3625E-06 X
Plantinum (Pt) GT, ST 0.005 2.47E-09 X
Beryllium (Be) City, GT, SC, Food 0.005 2.06E-05 X
Lithium (Li) City, GT 0.166 0.0032 X
Vanadium (V) City, GT 0.096 0.117 ✔
Cobalt (Co) ST, Food 0.039 1.167 ✔
2/27/2018
Using the dragline excavator already in use at resource extraction sites will not output enough meteoritic material yield to fill the gap.
APPENDICES
22
Assumptions: • meteorite flux material is of the same average composition as the asteroid
belt/known asteroids. • Accumulation of meteorites in Bland & Smith (2000) is within the top meter of soil
on Mars. Assume resulting craters have widely been erased by aeolian processes• Chemical Weathering of meteorites on Mars occurs on a 10^9 year timescale
(Bland & Smith, 2000)• Assume uniform weathering rate for Stony, iron, and chondritic meteorites
2/27/2018
Type % in main belt low high middle ground m/sq m m/m^3
5.00E-04 5.00E-01 0.2 kg
Carbonaceous 0.75 3.75E-04 2.81E-04 0.000328 6.56E-08 6.5625E-08
Stony 0.17 8.50E-05 6.38E-05 7.44E-05 1.49E-08 1.4875E-08
Iron 0.03 1.50E-05 1.13E-05 1.31E-05 2.63E-09 2.625E-09
HED 0.05 2.50E-05 1.88E-05 2.19E-05 4.38E-09 4.375E-09
For iron wt % Mg/dayMo 0.0007 1.8375E-10Cr 0.015 3.9375E-09Pt 9.42E-05 2.47275E-11
For chondrites wt % Mg/day
Se 0.00214 1.40438E-08
V 0.0045 2.95313E-08
WEIGHT % CONTRIBUTION IN SOIL
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microg/g weight % Soil weight %Li 1.44 0.00000144 0.000296 3.55277E-06Be 0.0225 2.25E-08 4.63E-06 5.55121E-08P 989 0.000989 0.203339 0.002440064K 519 0.000519 0.106707 0.001280479Sc 5.8 0.0000058 0.001192 1.43098E-05Ti 447 0.000447 0.091903 0.00110284V 52.3 0.0000523 0.010753 0.000129035Mn 1878 0.001878 0.386117 0.004633408Co 519 0.000519 0.106707 0.001280479Cu 127 0.000127 0.026111 0.000313335Zn 298 0.000298 0.061269 0.000735227Ga 9.42 0.00000942 0.001937 2.32411E-05Rb 2.23 0.00000223 0.000458 5.50186E-06Sr 7.61 0.00000761 0.001565 1.87754E-05Y 1.54 0.00000154 0.000317 3.79949E-06Zr 3.49 0.00000349 0.000718 8.61054E-06Nb 0.292 2.92E-07 6E-05 7.20423E-07Cs 0.182 1.82E-07 3.74E-05 4.49031E-07Ba 2.48 0.00000248 0.00051 6.11866E-062/27/2018
SOURCES[1] Bland, P.A., Smith, T.B., “Meteorite Accumulations on Mars,” Icarus, vol. 144, 2000, pp. 21-26. Doi: :10.1006/icar.1999.6253[2] Yen, A. S., Gellert, R., Schröder, C., Morris, R. V., Bell III, J. F., Knudson, A. T., Clark, B. C.,, Ming, D W., Crisp, J A., Arvidson, R E., Blaney, D,, Brückner, J,, Christensen, P R., DesMarais, D J., de Souza Jr, P A., Economou, T E., Ghosh, ,, Hahn, B C., Herkenhoff, K E., Haskin, L A., Hurowitz, J A., Joliff, B L., Johnson, J R., Klingelhöfer, G, Madsen, M B, McLennan, S M., McSween, H Y.,Richter, Lutz, Rieder, Rudi, Rodionov, Daniel, Soderblom, Larry, Squyres, Steven W., Tosca, Nicholas J., Wang, Alian, Wyatt, Michael, Zipfel, Jutta. “An integrated view of the chemistry and mineralogy of martian soils,” Nature. Vol. 436, 2005, 49.doi: 10.1038/nature03637[3] Flynn, G. J., McKay, D. S. “An assessment of the meteoritic contribution to the martian soil. “J. Geophys. Res. 95, 14497–14509 (1990)[4] Yen, A. S. “Composition and color of martian soil from oxidation of meteoritic material.” Lunar Planet. Sci. Conf. XXXII, 1766 (2001)[5] Youngmin JeongAhn, Renu Malhotra, “The current impact flux on Mars and its seasonal variation,” Icarus, 2015, 262, 140[6] Barrat, J.B., Zanda, B., Moynier, F., Bollinger, C., Liorzuo, C., Bayon, G. "Geochemistry of CI chondrites: Major and trace elements, and Cu and Zn Isotopes," Geochimica et Cosmochimica Acta, Elsevier. Vol. 83, 2012, pg. 79-92. [7] Beaulieu, P. L., Moore, C. B., “Chromium and silicon in iron meteorites,” Meteoritics, vol. 4, 1969, pp. 259-260.[8] Dreibus, G., Palme, H., Spettel, B., Zipfel, J., & Wanke, H., „Sulfer and selenium in chondritic meteorites,“, Meteoritics, vol. 30, 1995, pp. 439-445.[9] Nichiporuk, W. & Bingham, E. „Vanadium and Copper in Chondrites,” Meteoritics, vol. 5, 3, 1970, p. 3.
242/27/2018
TRANSPORTING RESOURCES
Adit KhajuriaCAD
Resource Extraction, ManufacturingFebruary 27, 2018
2/27/2018 25
PROBLEM
• Problem(s): • Design and power a water facility capable of extracting water
from underneath Martian regolith (Resources)• Design a way to make extracted steel usable (Manufacturing)
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SOLUTION
Water Extraction System (top)
● Extraction rate of 1.09 kg/s per well (3 for the city)
Electric Arc Furnace (right)● Fed Iron Oxide, converts
into metallic Iron, melts into usable liquid steel inside EAF
BACKUP - WATER● Water Extraction Well
○ Modeled after a “Rod Well” -Used in Antarctica
○ Top of well located at roughly 20m from Martian surface
○ Length of well itself about 150m
BACKUP - WATER Boiler and Pump facilities
● Boiler (right) boils water to SHV and sends down to the well
● SHV melts ice and also expands well slowly
● Pump (left) pumps water out of well
○ Feeds some water back into boiler
● Water sent off to city at a rate of 1.09 kg/s per well (3 wells in total for a total flow rate of 3.27 kg/s)
BACKUP - MANUFACTURING
Water Tower● Contains water fed by pump
○ Also acts as a back-up in case of failure
● Height of tower useful in driving water via pressure
BACKUP - MANUFACTURING
Pipeline Heating Facility● Placed along pipeline to
prevent water from freezing● Uses resistance to heat pipe
via wire
BACKUP - MANUFACTURING
Schematic by Will Adams
BACKUP - MANUFACTURING
Electric Arc Furnace● Steel exterior, ceramic interior● Graphite electrodes melt material into
usable liquid steel● 2.5m radius, 2m height
○ V = 40 m^3
POWER FOR AEROPONIC WATERING SYSTEM
Jonathan RohwerDiscipline Group: Human Factors
Vehicle & Systems Group: Food Production2-27-2018
2/26/2018 34
PROBLEM• Problem: Quantifying power for Food Production’s watering system
• Moving water to and from tanks• Moving irrigation system • Mixing water in tanks
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• Requirements• Provide water at the proper amount
and pressure for system to work• Move irrigation system • Reclaim water that is not absorbed• Homogenous mixture in tanks
• Assumptions• Amount of reclaimed water is the
amount sprayed as a factor of safety• Vigorous mixing is not required in
tanks• Adiabatic • Day to reclaim water accumulated
System Power [kW] Mass of Pumps or Motors [Mg]
Pumping Water 9.56 1.337Moving Irrigation 7.08 3.12E-3Reclaiming Water 4.68E-3 0.335Stirring Tanks 339 0.1496Total 355 1.825
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SOLUTION
• Conclusions• 355 kW is small compared to the 3 GW being
produced by city• 1.825 Mg of material added to the structure of
aeroponics is small compared to water being stored ~ 3840 Mg
APPENDICES
2/26/2018 37
PUMP/MOTOR SIZING
• Zytek 170kW Motor has a mass of 75 kg [1]• Used this power to mass ratio to size our motors
• Franklin Electric Turf Boss 160 GPM 5 HP [2]• Produces Max operating pressure of 76 psi
• Our operating pressure is 80 to 100 psi• Weights 134 lb which equates to 60.76 kg
• Assumed 22 pumps, 1 per crop per building
• Flotec FP5112 - 10.3 GPM 1/2 HP [3]• Has high enough gpm for our reclaiming process• Weights 16.8 lb which equates to 7.62 kg
• Assumed 44 tanks, 1 per crop per floor except floor 1 since its above the tanks
2/26/2018 38
SOURCES
• [1] “Zytek 170kW 460Nm Electric Traction Motor,” Zytek Available: http://www.zytekautomotive.co.uk/products/electric-engines/170kw/.
• [2] “Franklin Electric Turf Boss 160 GPM 5 HP Self-Priming Cast Iron Sprinkler Pump,” Water Pumps DirectAvailable: https://www.waterpumpsdirect.com/Franklin-Electric-FTB5CI-Water-Pump/p50330.html.
• [3] “Flotec FP5112 - 10.3 GPM 1/2 HP Portable Transfer Pump,” Water Pumps Direct Available: https://www.waterpumpsdirect.com/FloTec-FP5112-08-Water-Pump/p72399.html.
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CODE% Name: Jonathan Rohwer
% Class: AAE 450
% Assignment: Power
% Description: Power needed for water supply
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear
clc
%% Coversions
atm_pa = 101325; % Conversion from atm to Pa 1atm = 101325Pa
%% Known
water_day = 170000/2; % Water needed per day [kg]
A_total = 809000; % Total plant area [m^2]
A_mod = 266.6; % Module growth area [m^2]
mod_floor = 180; % Modules per floor
nozzle_mod = 14; % Nozzles per module
mod_time = 180/(30/3.25); % Modules on at any given time
nozzle_time = mod_time*nozzle_mod; % Nozzles on at any given time
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CODE CONT.floors = 9; % Number of floors
L_floor = 300; % Length of floor [m]
W_floor = 280; % Width of floor [m]
rho_water = 1000; % Density of water [kg/m^3]
g = 3.711; % Acceleration due to gravity on Mars
p_atm = 81060; % Atmospheric pressure [Pa]
dH = 3; % Height change from floor to floor
rho_inv = 1.0020 / 1000; % specific volume at at 21 C [m^3/kg] [58]
%% Assumptions
D_pipe = 0.05; % Diameter of main line
A_pipe = pi*D_pipe^2/4; % Area of main line
D_tank = 4; % Diameter of tank
H_tank = 4; % Height of tank
fos = 1.1; % Factor of safety
%% Gerenal Calculations
water_pp = water_day / A_total; % Water per area per day [kg/m^2]
water_mod = water_pp * A_mod; % Water per modules per day [kg]
2/26/2018 41
CODE CONT.water_dot = water_mod / (60*60*24); % Water flow into the module [kg/s]
%% Inlet pressures
p(2) = 0.8 * atm_pa + rho_water*g*H_tank/2; % Pressure at base of tank (B2 floor) [Pa]
p(1) = p(2) - rho_water*g*dH; % Pressure at B1 floor [Pa]
p(3) = p(2) + rho_water*g*dH; % Pressure at B3 floor [Pa]
p(4) = p(3) + rho_water*g*dH; % Pressure at B4 floor [Pa]
p(5) = p(4) + rho_water*g*dH; % Pressure at B5 floor [Pa]
p(6) = p(5) + rho_water*g*dH; % Pressure at B6 floor [Pa]
p(7) = p(6) + rho_water*g*dH; % Pressure at B7 floor [Pa]
p(8) = p(7) + rho_water*g*dH; % Pressure at B8 floor [Pa]
p(9) = p(8) + rho_water*g*dH; % Pressure at B9 floor [Pa]
%% Flow Properties
r_2 = 0.365e-3/2; % outlet radius [m]
A_2 = r_2^2 * pi; % outlet area [m^2]
p_2 = 0.689e6; % outlet pressure [Pa]
Q = 2.366e-6; % Volumetric flow rate of one nozzle [m^3/s]
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CODE CONT.Q_f = Q * nozzle_time; % Volumetric flow rate per floor [m^3/s]
dh = rho_inv * (p - p_2); % change in enthalpy [J/kg] [58]
m_dot_2 = Q_f / rho_inv; % Mass flow rate at exits [kg/s]
m_dot_1 = m_dot_2; % Mass flow rate at inlet
V_1 = m_dot_1 * rho_inv ./ A_pipe; % inlet velocity
V_2 = m_dot_2 * rho_inv / (A_2*nozzle_time); % outlet velocity
P = m_dot_1 * (dh + (V_1.^2 - V_2^2)/2); % Power per floor [W]
P_water_total = sum(P) * 2; % Total Power usage for both buildings [W]
%% Irrigation
rho_PVC = 1300; % Density of PVC pipe [kg/m^3]
t_PVC = 0.01; % Thickness of PVC pipe
D_PVC = D_pipe + 2 * t_PVC; % Outer diameter of pipe
A_PVC = pi * D_PVC^2/4 - A_pipe; % Cross sectional area of pipe [m^2]
L_PVC = 20; % Length of each pipe in the module [m]
V_PVC = A_PVC * L_PVC; % Volume of each pipe in the module [m^3]
m_PVC = V_PVC * rho_PVC; % Mass of each pipe in the module [kg]
V_water = A_pipe * L_PVC; % Volume of water in each pipe [m^3]
2/26/2018 43
CODE CONT.m_water = V_water * rho_water; % Mass of water in each pipe [kg]
m_total = m_water + m_PVC; % Total mass moving in each module
f = 0.3; % friction coefficient of plastic on plastic
F_total = m_total * g; % Weight of pipe with water
F_friction = F_total * f; % Force required to move pipe
W_pipe = F_friction * L_PVC * 2; % Work done to move pipe to end and back
P_pipe_total = W_pipe * mod_time*floors*2/(3.25*60); % Power done by system to irrigate
%% Reclaiming Water
water_extra = water_mod * fos - water_mod; % Max water needed to be reclaimed per module [kg]
water_extra_floor = water_extra * mod_floor; % Water reclaimed per floor [kg]
m_reclaim = 0; % initialize for loop
for i = 1:8
m_reclaim = m_reclaim + water_extra_floor * i;
end
2/26/2018 44
CODE CONT.W_reclaim = m_reclaim * dH * g; % Work to move all the water up to the tanks
P_reclaim = W_reclaim / (24*60*60)*2; % Power required to move the reclaimed water up over a day for both buildings
%% Mixing Tank
C_d = 1.28; % Drag coefficient of a flate plate
omega = 0.1047; % Angular velocity [rad/s]
R_in = 0.5; % Inner radius of plate [m]
R_out = 1.5; % Outer radius of plate [m]
A_plate = 1; % Area of one plate [m^2]
V_avg = omega/2 * (R_in + R_out); % Average velocity of the plate
D_total = C_d * rho_water * V_avg^2 * A_plate / 2 * 2; % Total drag on both plates
T_total = D_total * (R_in + R_out) / 2; % Total Torque on the plates
W_rot = T_total * 2 * pi; % Work required to rotate a full circle
P_rot = W_rot * 2*pi/omega; % Power required to rotate a full circle
P_rot_total = P_rot * 64; % Total Power for all 64 tanks
%% Output
P_total = P_pipe_total - P_water_total + P_rot_total + P_reclaim; % Total Power needed
2/26/2018 45
ADDING COMFORT(AND MUSHROOMS!)
Kelsey DelehantyHuman Factors
Food ProductionFebruary 27, 2018
2/27/2018 46
THE PROBLEMSRequirements
1. Keep our citizens healthya. Missing one crucial
vitamin: vitamin D (deficiency leads to rickets, porous brittle bones, osteoporosis) [8]
b. Comes from exposing skin to UV, eating meat or certain plants exposed to UV
c. Radiation, components for UV lights (Mercury, Xenon)
2. Keep our citizens happya. Limited food choicesb. Leisure activities
2/27/2018 47
Constraints1. 800 m2 extra
a. 1600 m2 for compact foods
Lower Levels 1 and 2 (Kelsey Delehanty)
Farming Levels (Subhiksha Raman)
THE SOLUTIONSMushrooms
Prep: slice, expose to sunlight with gills upMethod: one flatbed/day to surface, 8 m2 area covered
Mushroom consumption: 39 g/day (⅜ cup)Vitamin D: 0.015 mg, with 1 hr sun exposure [3]Minimum: 0.015 mg [4]Toxicity: ~12 mg from diet [4]
Agricultural space: 242 m2
(includes 13% extra yield and walking space)Food from refuse: 390 kg/day (wheat straw) (6% of total refuse)
48
HerbsHarvest: Basil, mint, oregano, rosemaryRationale: fastest growth time [9]Uses: tea, seasonings, medicinal
Growing method: hydroponics [9]Herb consumption: ½ tsp per week of each of the four herbs
Water: 61 kg water/day [9]Agricultural space: 1,356 m2
Power for lights: 138 kW (Matt Prymek)
PaintsHues: Red (strawberries), green (kale, spinach), blue (blueberries), black (charcoal) [19]
Ingredients: 1 cup of paint = 1 cup fruit + 1 cup water + 0.25 tsp flour
Extra food used for paint production: 0.5%Red: 14.63 cups/dayGreen: 22.75 cups/dayBlue: 9.75 cups/day
Wheat: 11.8 tsp/day (0.04% daily extra)Water: 13 kg/day
Other systems: City (power for lights, mushrooms to the surface), Resource Extraction (water)
2/27/2018
APPENDIX
492/27/2018
MUSHROOMS AND VITAMIN D [1-8]Mars receives only 44% of UV on the surface that Earth does. (Matt Prymek)Mars is, on average, 50% further from the sun:
50
Sun Exposure (hr) Daily Amount (kg) Vitamin D (mg) Crop Area (m2) Refuse (kg)
8 0.013 0.066 135 130
4 0.013 0.033 135 130
2 0.026 0.033 269 260
1 0.026 0.016 269 260
1 0.039 0.025 404 390
1 0.023 0.015 242 390
[3]
I’ve assumed this scales linearly with time.
Mushrooms need 1 lb fuel for 1 lb mushrooms. [2]
2/27/2018
HERBS: WATER AND SPACE NEEDS [9-15]
51
Spearmint Oregano Basil Rosemary Total
Yield (kg/m2) 0.0168 0.23 0.6 0.55 ~Density (kg/met. cup) 0.027 0.07 0.035 0.055 ~
Met. cup to tsp 50 50 50 50 ~m2 for tsp per person 0.032 0.006 0.001 0.002 ~
tsp per person 0.071 0.071 0.071 0.071 ~m2 for tsp for 10000 people 22.959 4.348 0.833 1.429 ~
Growth time (days) 30 30 30 42 ~
Total area (m2) 689 130 25 60 904
Plants per m2 4 4 4 4 ~
Water per cup (kg) 0.946 0.946 0.946 0.946 ~Water per cup per month (kg) 0.473 0.473 0.473 0.473 ~Total water per month (kg) 1303.2 246.8 47.3 113.5 1711
2/27/2018
PAINTS [16-19]
52
Example: StrawberriesVolume of plant (cup) 1Volume of wheat flour (tsp) 0.25Volume of water (cup) 1Plant Density Conversion (kg/cup) 0.16Mass plant need to make cup of paint (kg) 0.16Flour Density Conversion (kg/cup) 0.127Mass flour need to make cup of paint (kg) 0.03175
[17] [19]
2/27/2018
SOURCES
532/27/2018
SOURCES
Mushrooms
[1] Svane-Knudsen, D., “UV light turns mushrooms into vitamin D bombs,” sciencenordic Available: http://sciencenordic.com/uv-light-turns-mushrooms-vitamin-d-bombs.
[2] “GOURMET MUSHROOMS,” Profitable Plants Digest Available: https://www.profitableplantsdigest.com/mushrooms/.
[3] Stamets, P., “Place Mushrooms in Sunlight to Get Your Vitamin D,” Fungi Perfecti Available: http://www.fungi.com/blog/items/place-mushrooms-in-sunlight-to-get-your-vitamin-d.html.
Vitamin D
[4] “How Much Vitamin D Should You Take For Optimal Health?,” Healthline Available: https://www.healthline.com/nutrition/how-much-vitamin-d-to-take#section8.
[5] “Vitamin D,” Linus Pauling Institute Available: http://lpi.oregonstate.edu/mic/vitamins/vitamin-D#.
[6] Tripkovic, L., Lambert, H., Hart, K., Smith, C., Bucca, G., Penson, S., Chope, G., Hypponen, E., Berry, J., Vieth, R., and Lanham-New, S., “Comparison of vitamin D2 and vitamin D3 supplementation in raising serum 25-hydroxyvitamin D status: a systematic review and meta-analysis,” American Journal of Clinical Nutrition, vol. 95, May 2012, pp. 1357–1364.
[7] “What is the Difference Between Vitamin D2 and D3?,” BioNatures Available: https://bionatures.com/blogs/news/what-is-the-difference-bewteen-vitamin-d2-and-d3.
[8] Berdanier, C. D., Dwyer, J. T., and Heber, D., eds., Handbook of Nutrition and Food, Boca Raton, FL: CRC Press, 2014.
542/27/2018
SOURCES, CONT.
Herbs
[9] Main, E., “How To Grow Thriving Houseplants In Water,” Rodale's Organic Life Available: https://www.rodalesorganiclife.com/garden/easy-houseplants-that-grow-in-water.
[10] Saha, S., Monroe, A., and Day, M. R., “Growth, yield, plant quality and nutrition of basil (Ocimum basilicum L.) under soilless agricultural systems,” Annals of Agricultural Sciences, vol. 61, Dec. 2016, pp. 181–186. Available: https://www.sciencedirect.com/science/article/pii/S0570178316300288#f0015
[11] The Editors of Encyclopædia Britannica, “Growing season,” Encyclopædia Britannica Available: https://www.britannica.com/topic/growing-season.
[12] “Mint,” Specialty CrOPPORTUNITIES Available: http://www.omafra.gov.on.ca/CropOp/en/herbs/culinary/mint.html.
[13] Nurzynska-Wierdak, R., “Herb yield and chemical composition of common oregano (Origanum vulgare L.) essential oil according to the plant’s developmental stage,” HerbapolonicaAvailable: http://herbapolonica.pl/magazines-files/370662-Pages%20from%20Herba_3-6.pdf.
[14] Wikifarmer Editorial Team, “Rosemary Plant and Essential Oil Yield,” Wikifarmer Available: https://wikifarmer.com/rosemary-plant-and-essential-oil-yield/.
[15] Arsenault, R., “How to Propagate a Rosemary Plant from Stem Cuttings,” Grow a Good LifeAvailable: https://growagoodlife.com/propagate-rosemary-plant-from-stem-cuttings/.
Paints
[16] Finch, H., “How to Make Paint From Berries,” eHow Available: https://www.ehow.com/how_4884547_make-paint-berries.html.
[17] Mann, H., “Paint Made From Berries & Nature,” Instructables.com Available: http://www.instructables.com/id/Paint-Made-from-Berries-Nature/.
[18] “Can You Make Paint Out of Berries?,” Wonderopolis Available: https://wonderopolis.org/wonder/can-you-make-paint-out-of-berries.
[19] “Make natural paint with leftover fruits and veggies,” VerMints Inc Available: http://www.vermints.com/blog/make-natural-paint-with-leftover-fruits-and-veggies/.
552/27/2018
FLOOR LAYOUT
Subhiksha RamanCAD
City Infrastructure and Food ProductionFebruary 6, 2018
2/27/2018 56
PROBLEM
• Too many buildings in current city layout
• Assumptions• Each building is a rectangular prism• Habitable volume: 100 m3/person (Longuski)• Floor area: 400 m2
• Floor height: 2.75 m• Floor thickness: 0.25 m
• Need to determine• Number of apartments/floor• Number of people/apartment• Buildings to keep/remove
• Requirements • More aesthetic layout• Include wall thickness
2/27/2018 57
SOLUTION• 4 apts/floor, 2 people/apt
• Can have maximum of 3 people/apt if needed
• Apartment floor area: 80 m2 (Volume: 220 m3)• Interior wall: 0.165 m [1], Exterior: 0.3 m• Hallway: 1 m• Elevators: 1.5 m x 1.5 m• Kitchen: 12 m2 [2]• Living and dining: ~28 m2
• Bedrooms: ~16 m2 each• Bathroom: 7.5 m2 [3]
• Toilet, sink, bathtub and/or shower
• Placement of buildings• Depends on trusses (Chris Johnson)
• Next Steps: • Finalize city layout• Make buildings nicer to look at
2/27/2018 58
KITCHEN SIZE CALCULATION
59
10% to 15% of total living space [1]
Total living space: 80 m2
80*.1 = 8 m2
80*.15 = 12 m2
In diagram: ~12 m2
PRELIMINARY BUILDING CALCULATIONS
Ideally would want people towards the middle of width of tube.
22 floors/building x 8 people/floor x 10 buildings = 1760 people18 floors/building x 8 people/floor x 20 buildings = 2880 people21 floors/building x 8 people/floor x 4 buildings = 672 people
Total: 5312 people/module -> half of the population
60
REFERENCES
[1] “Home Guides,” SF Gate. Available: homeguides.sfgate.com/instructions-building-interior-wall-24777.html
[2] Wallender, L. “Average Kitchen Size? Well, Its Complicated...,” The Spruce. Available: https://www.thespruce.com/average-kitchen-size-1822119.
[3] “Small Bathroom Floor Plans,” House Plans Helper. Available: https://www.houseplanshelper.com/small-bathroom-floor-plans.html.
61
SUPPORTING THE LAVA TUBE
Christopher JohnsonStructures
City InfrastructureFebruary 27, 2018
2/27/2018 62
PROBLEMProblem: The concrete lining isn’t enough to support the entire weight of the lava tube. Flex of 8 m
Assumptions: 1. Approximate rock pressure as
linearly constant along tube surface
2. Flat roof with 50 m roof thickness
3. Extra support supports only surface above it
Requirements1. Extra support must alleviate stress
on the concrete lining
2. Extra support must reduce the deformation of the concrete lining
3. Entire structure must be able to hold up the roof in case of failure
2/27/2018 63
SOLUTIONAdd trusses
1. Total weight of rock: a.36 MN
2. Use buckling analysis to size truss columnsa.70 cm thicknessb.4 by 10 000 Mgc.Square cross sectionsd.Factor of safety of 8
3. Verify findings with Ansysa. Maximum flex of 45 cmb. Maximum stress of 36
MPac. Minimum stress of 17
MPa
2/27/2018 64
APPENDIX (P = 3.05E5 PA)
2/27/2018 65
APPENDIX (P = 3.05E5 PA)
2/27/2018 66
APPENDIX (P = 3.05E5 PA)
2/27/2018 67
APPENDIX (P = 3.05E5 PA)
2/27/2018 68
APPENDIX (P = 1.52E5 PA)
2/27/2018 69
APPENDIX (P = 1.52E5 PA)
2/27/2018 70
APPENDIX (P = 1.52E5 PA)
2/27/2018 71
APPENDIX (P = 1.52E5 PA)
2/27/2018 72
APPENDIX (TRUSS)
2/27/2018 73
LAVA TUBE ECLSS (AIR LOSS)
Connor FoleyHuman Factors
City InfrastructureFebruary 27, 2018
2/27/2018 74
THE PROBLEM
ProblemCement structure around the city leaks a considerable amount of air daily (1%-4% daily), so we need to find a material to mitigate that loss [CDR Feedback]
Requirements• Material manufacturable on Mars
Assumptions• Thickness of coating: 1 cm (ease
of manufacturing)• 100-year manufacturing life cycle
2/27/2018 75CAD model by Subhiksha Raman
THE SOLUTION
• Polyethylene (HDPE) coating1 cm thickCovers entire area surrounding lava tube (1.05e+06 m2)Total volume of material: 1.05e+04 m3
Total mass of material: 1.01e+04 Mg100-year life cycle: Need 102 Mg/yearAir loss: 2.2 kg/day (1.3e-5% daily air loss)
• Update on ECLSSMass: 17,000 MgPower: 25 MW
2/27/2018 76
APPENDIX: LAVA TUBE ECLSS
2/27/2018 77
APPENDIX: ECLSS DETAILS
Water Recovery System:1. Water Processor Assembly: removes free gases and solid materials, electrical sensors check the purity of the water2. Urine Processor Assembly: low pressure vacuum rotating distillation to collect water from urineProcess 264 Mg water/day, 90% efficiency (Nicole Futch), so need 26.4 Mg/day from human resources
Carbon Dioxide Reduction AssemblyZeolite, formed from volcanic rocks and ash, very porous, scrubs carbon dioxide from air, sends to UMAWPS
Air Temperature/Pressure/Humidity Control:Maintain pressure at 81.1 kPa, control humidity by removing condensation
Waste Management:Process 4.5 Mg solid waste/day, isolate nutrients for food production
2/27/2018 78
APPENDIX: COLLABORATION WITH RESOURCES EXTRACTION GROUP
2/27/2018 79
To UMAWPS*:10.4 CO2 Mg/day
From UMAWPS:14.3 O2 Mg/day19.5 N2 Mg/day
*UMAWPS = Universal Martian Atmospheric and Water Processing System
Diagram produced by Diego Martinez
APPENDIX: FICK’S FIRST LAW
2/27/2018 80
• Fick’s First Law (Mass Diffusion):
Ni = - Di ∇ciNi: Molar Flux [mol/m2/s]Di: Diffusion Coefficient [m2/s]ci: Concentration [mol/m3]
Note 1: get the proper units in “Molar Flux” by dividing “Concentration” by the thickness of the material
Note 2: Assistance on Mass Diffusion from Halen Blair
APPENDIX: PRESSURIZATION CODE (ADDED TO HF CITY CODE)
• % CONNOR -- daily pressurization leakage
•
• % Fick's First Law -- mass diffusion
• h = 100; % height of tunnel in middle, units: [m]
• w = 300; % width of tunnel, units: [m]
• l = 1500; % length of tunnel in meters, units: [m]
• a_tunnel = h*w/2*pi/2; % cross section of tunnel if assumed half an ellipse, units: [m^2]
• D = 5.1e-9; % Diffusion Coefficient of toluene in HDPE [cm^2/s]
• D = D/10000; % Convert to [m^2/s]
• p = 81.1e+3; % Pressure of lava tube air, units: [Pa]
• T = 21+273.15; % Temperature of lava tube, units: [K]
• R = 8.314; % Ideal gas constant, units: [J/mol/K]
• n_V = p/(R*T); % density of air in lava tube, units: [mol/m^3]
• V = a_tunnel*l; % Volume of tunnel interior, units: [m^3]
• n = n_V * V; % Number of moles of air in the lava tube, units: [mol]
• C = n_V; % Concentration of air on the inner wall of the tube, units: [mol/m^3]
• thickness = 0.01; % Thickness of polyethylene in wall, units: [m]
• N = D*C/thickness; % Molar Flux of air in lava tube, units: [mol/m^2/s]
• circumf = 793.27; % Approximate circumference of an ellipse, units: [m]
• Area = 300*1500 + circumf/2 * 1500; % Area of interior walls enclosing lava tube, units: [m^2]
• AirLeakage = N*Area; % total leakage of air in lava tube, units: [mol/s]
• % Convert [mol/s] to [Mg/day]:
• mol2Mg = (mass_Mg_oxy_range(3) + mass_Mg_nit_range(3))/n; % Conversion, units: [Mg/mol]
• AirLeakage = AirLeakage*3600*24*mol2Mg % total DAILY leakage of air in lava tube, units: [Mg/day]
•
2/27/2018 81
APPENDIX: PRESSURIZATION CODE (ADDED TO HF CITY CODE) – CONT.
• % Mass, Volume, and Manufacturing Rate of HDPE:
• area_HDPE = Area;
• vol_HDPE = area_HDPE*thickness; % units: [m^3]
• density_HDPE = 970; % Density of polyethylene (HDPE), units: kg/m^3
• TotalMass = density_HDPE*vol_HDPE/1000 % Total mass of polyethylene coating, units: [Mg]
• Daily_Manufacturing = TotalMass/100/365 % Manufacturing mass requirement, units: [Mg/day]
2/27/2018 82
APPENDIX: REFERENCES[1] Schaezler, R., Cook, A., Leonard, D, and Ghariani, A., “Trending the Overboard Leakage of ISS Cabin Atmosphere,” American Institute of Aeronautics and Astronautics, [online], https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20110012997.pdf
[2] “International Space Station: Environmental Control and Life Support System,” National Aeronautics and Space Administration, [online], FS-2008-05-83-MSFC, https://www.nasa.gov/sites/default/files/104840main_eclss.pdf
[3] “Crisp, Clean Clothes without the Waste,” Alliance for Water Efficiency, [online],https://www.home-water-works.org/indoor-use/clothes-washer
[4] Ming, D. and Gooding, J., “Zeolites on Mars: Possible Environmental Indicators in Soils and Sediments,” NASA Johnson Space Center, [online], https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19890008967.pdf
[5] Han, B., “Measurements of True Leak Rates of MEMS Packages,” Sensors, 2012, No. 12, pp. 3082-3104.
[6] Prasad, T., Brown, K., and Thomas, J., “Diffusion Coefficients of Organics in High Density Polyethylene (HDPE),” Waste Management & Research, Vol. 12, No. 1, 1994, pp. 61-71, doi: 10.3390/s120303082.
2/27/2018 83
REACTOR DESIGNAleksander Gardner
Power/ThermalCity/Food2/10/2018
2/20/2018 84
PROBLEM
• 3 GW of Power Required• Manufacturing power still being estimated but assumed 1GW (Amy
Comeau• Ground Transport needs 1 GW for the rail line (Stephen Kubiki)• 100 MW of Power for City needs such as lighting for crops and
streets (Jonathan Rower• Other options
• Solar: Too heavy for city expansion• Geothermal: No heat high enough, would need to drill on Mars to
know if it is viable• Thorium is very abundant on Mars’s surface, but uranium is not
Image Credits: Subiksha Raman
85
SOLUTION
• Around 60000 M2 of area required for reactor building and some waste pools [1]
• Need to be underground to protect from radiation and allow for maintenance
• Can schedule inspections every 2 years to check core for embrittlement
• Breeder Reactors, make more fissile material than they use• Can be pulled from reactors and stockpiled for a new reactor
• 7% extra fissile material per year [1]• Self stopping in event of supercriticality
86
Concrete Hastelloy-N LiF BeF2 Water Piping and Turbines
Thorium Uranium
Mass (Mg)
16000 1100 1070 30 9000 11000 260 0.7
APPENDIX
Mass estimates of other Methods
2/20/2018 87
Option Mass (Mg) Power Output (MW)
Potential Problems
Solar (in space) 9,660,000 3000 Rockets to get them in place
Solar (on ground)
19,800,000 3000 60 Day dust storms
Geothermal 480,000 3000 45 km drill depth
Nuclear 120,000 3000 Scarce materials
APPENDIX
Kasten, P. R., Bettis, E. S., and Robertson, R. C., “Design Studies of 1000-Mw(e) Molten-Salt Breeder Reactors,” Central Research Library.
IADC Drilling Manual (1.1th ed.). (n.d.). Houston, TX: Technical Toolboxes, Inc.
Sam Noynaert, Professor at Texas A&M in Petroleum Engineering
U.S. Nuclear Propulsion (n.d.). In Forecast International.
Nieminen, A. J., “Molten Salt Reactors The new frontier of nuclear reactors,” thesis, 2017.
88
RAIL POWER CONSUMPTION REFINEMENT AND CREWED
VEHICLE HEAT LOSSStephen Kubicki
Power and ThermalGround Transportation
February 27th, 2018
2/27/2018 89
• How much time/power do the railcars require to reach each destination?• How much heat loss will the rovers and personnel railcars experience?
Requirements:• The personnel railcars shall be able to complete all round trips in less
than 133 hours. (Customer)• Crewed vehicles shall maintain a cabin temperature of 20°C in all
environmental conditions.
Assumptions:• Railcars accelerate constantly over one hour to top speed.• Electric traction motors scale linearly. • Motor efficiency is constant with scaling.
Need to Determine:• Railcar electric traction motor sizing.• Updated roundtrip travel times for each destination.• Rover and personnel car heat loss rates.
THE PROBLEMS
2/27/2018
Electric Traction Motor CAD (Sean Thompson)
2
THE SOLUTIONS
2/27/2018 91
• Refined model to include drag resistance and electric motor efficiency
• Included analysis for railcar acceleration period
• Ensured maximum power draw for motor sizing
• Heat Transfer Analysis included:
• Conductive losses through aluminum and polyethylene layers
• Natural convective losses to the atmosphere
• Radiative losses to the surroundings
92
ROUTE SLOPE DATA AND MOTOR POWER CALCULATIONS
2/27/2018
Elevation data obtained using Mars Orbiter Laser Altimeter
(MOLA) data via JMars software Motor Power Calculations:● Maximum time of one-way travel for
personnel car driven by radiation standards and 1 day for maintenance at resource sites
● Average travel velocity computed using time limits and distance to farthest resource site (Thorium = 8503 km)
● Motor mass and power guessed, then code iterates to find updated personnel car mass. Updated total mass used to find new motor power and mass, iterate until error is <0.1 kg
● Motor mass and power scaled based on Zytek Electric Traction Motor 7
TRAVEL TIMES - EARTH AVERAGE RADIATION STANDARD
93
Information sourced in code for these computations:• Rolling Resistance of Steel Wheels on Steel Rails 1• Drag Coefficient of a Passenger Railcar 2• Atmospheric Density on the Martian Surface 3
2/27/2018
94
TRAVEL TIMES - NASA RADIATION STANDARD
2/27/2018
TRAIN MASSES FOR DIFFERENT RADIATION STANDARDS
952/27/2018
HEAT TRANSFER ANALYSIS - THERMAL RESISTANCE NETWORK
962/27/2018
HEAT TRANSFER ANALYSIS – CODE (PT. 1)
97
Information sourced in this code:• Emissivity of HDPE 4• Thermal Conductivity of HDPE 5• Convective Heat Transfer Coefficient 6
2/27/2018
98
HEAT TRANSFER ANALYSIS – CODE (PT. 2)
2/27/2018
APPENDIX: SOURCES
2/27/2018 99
TRAIN ROUTE MAPPING
Ana Paula Pineda BosquePropulsion Group
Ground Transport GroupFebruary 27, 2018
2/27/2018 100
PROBLEM
2/26/2018 101
Needs Requirements
Must avoid high slopes ideal: slope < 10°, max: slope< 20°
No sharp turns ideal: rcurve > 2000 m , min: rcurve = 250 m
Avoid natural obstacles (crater, canyons) ideal: dcrater = 0; max: dcrater = 1 km
Minimize rail used ideal: distance = 11540 km
What routes will the trains follow? How will that affect our mass, power and volume requirements?How can the total distance be minimized?
Assumptions:● Craters under 1 km in diameter can be built over or around. ● Rail must lie on ground (no bridges, tunnels, etc.)
Needs to be determined: ● Inclination● Changes to necessary material production
SOLUTIONRoute Changes
Site Category Details
Landing Site
Original Length [km] 40
Route Length [km] 56
Max Inclination [deg] 0.052
Water Glaciers
Original Length [km] 280
Route Length [km] 522
Max Inclination [deg] 3.6
Iron Deposit
Original Length [km] 660
Route Length [km] 1054
Max Inclination [deg] 3.86
Nitrate Deposit
Original Length [km] 3118
Route Length [km] 4224
Max Inclination [deg] 8.32
2/26/2018 102
Approximate Model:Length = 1.4*(direct length)
New System Requirements
Concrete Mass [Mg]
Starting 12,732,000
Yearly 11,574
Steel Mass [Mg]
Starting 3,535,000
Yearly 88
LANDING SITE
2/26/2018 103
WATER GLACIERS
2/26/2018 104
IRON DEPOSIT
2/26/2018 105
NITRATE DEPOSIT
2/26/2018 106
CALCULATING ENVIRONMENTAL
SPACECRAFT TORQUESSamuel Albert
Communications InfrastructureCommunications & Control
02/27/2018
2/27/2018 107
THE PROBLEM• Need to determine external torques acting on spacecraft in order to size attitude control
system• External torques attitude control additional propellant mass
• Focus on Mars Communications Network (MNet)
• Include torques due to:• Gravity gradient, solar radiation, reflected solar radiation [2]
• Neglect torques due to:• Particle collision, magnetic forces, non-propulsive mass expulsion, spacecraft radiation, fuel slosh, structural flexing [2]• These torques are either much smaller ormuch more difficult to estimate initially
• Requirement: pointing accuracy of 0.1º or better
for antenna pointing• Antenna will also have ability to gimbal for precision• Note: this requirement would be much more strict foroptical communications - see Appendix C
2/27/2018 108
CAD from Sam Zemlicka-Retzlaff(Communications Infrastructure, CAD)
THE SOLUTIONEstimated average external spacecraft torques:
• Torques are dependent on orientation• Aligning principal moments of inertia with orbital axes would remove gravity gradient torque
• Based on simplified spacecraft model – see appendix A• Cyclic and secular torques
• Use reaction control wheels to counteract oscillatory torques• Need to react against secular torques as well, and dump angular momentum from saturated
reaction wheels• Magnetic torque rods are sometimes used, but Mars’s magnetic field is too weak for this to
work
• requirement for 3-axis stabilization in order to counteract above torques
2/27/2018 109
Torque Type Estimated Value [Nm]Solar Radiation 1.8 x 10-4
Gravity Gradient 1.9 x 10-6
Reflected Solar Radiation 5.84 x 10-7Hall thruster model
CAD from Sam Zemlicka-Retzlaff(Communications Infrastructure, CAD)
APPENDIX A: CALCULATIONS (1/2)
2/27/2018 110
APPENDIX A: CALCULATIONS (2/2)
2/27/2018 111
APPENDIX B: MATLAB CODE (1/2)
2/27/2018 112
APPENDIX B: MATLAB CODE (2/2)
2/27/2018 113
APPENDIX C: RF VS OPTICALTradeoff Between Radio Frequency (RF) and Optical Communication Systems for
Mars-Earth High Data Link (MEHDL)
• Motivation: MEHDL requires high data rate transmission over long distances. How can we effectively communicate back to Earth?
• Background: Optical communication is a growing technology which uses lasers to transmit at very high data rates with 50% mass reduction, 65% power reduction3. Deep Space Optical Communications will soon have a TRL of 6 after use on the Psyche mission in 20224.
• Requirement: Primary requirement is to transmit 42 Mbps to Earth continuously – lower than initially thought.
• Analysis: While it is true that optical communications offers high performance, the manufacturability and complexity of the system is problematic. Key concerns include:
• Extremely high-precision pointing required, on the order of one micro-radian or better5
• Lifetime of active laser components may be limited to 6 years5
• Surface finish within 1 nanometer requirement6
• Conclusion: Since we are optimizing for complexity and manufacturability, instead of for mass and power, RF is a better choice in this case.
2/27/2018 114
APPENDIX D
References1Harris, M., and Lyle, R., “Spacecraft Gravitational Torques,” NASA SP-8024, May 19692Longuski, J.M., Todd, R. E., and Konig, W. W., “Survey of Nongravitational Forces and Space Environmental Torques: Applied to the Galileo”, AIAA Jounral of Guidance, Control, and Dynamics, Vol. 15, No. 3, May-June 1992, pp. 545-5533Wertz, J. R., Everett, D. F., and Puschell, J. J., Space mission engineering: the new SMAD, Hawthorne: Microcosm Press, 2015.4Grayzeck, E., “Mars Fact Sheet”, Lunar and Planetary Science, NASA GSFC <https://nssdc.gsfc.nasa.gov/planetary/factsheet/marsfact.html>
2/27/2018 115
MARS COMMUNICATIONS NETWORK SOLAR ARRAYS
Sam Zemlicka-RetzlaffCommunications Infrastructure
CAD02/27/2018
2/27/2018 116
THE PROBLEM
2/27/2018 117
MNet- HD Communication• Support 10 W Transmitting Power• Frequency - 8.4 GHz (X-band)• One 0.3 m dish, communicate with
rovers and ground stations• Two 6 cm antenna, crosslink
communication
Credit: Power and Frequency Values, Sam Albert Propulsion Values, Connor Lynch
To Earth
THE SOLUTIONSolar Array RequirementsTotal Panel Area 17.02 m2
Panel Material Silicon, Plastic, Steel
Effective Solar Flux
71.76 W/m2
Credit: Models Created in Autodesk Inventor
Solar Panel Values, Duncan Harris
Materials required, Faiz Feroz
APPENDIX
Hand Written Calculations: Circular Solar Panel Sizing for each Satellite
THERMAL MANAGEMENT OF COMMUNICATION SATELLITES:
SOLAR PANELSDuncan Harris
Power and ThermalCommunications Infrastructure
2/27/2018
2/27/2018 120
THE PROBLEM: HOW SHOULD HEAT BE DISSIPATED FROM EACH SPACECRAFT?
2/27/2018 121
Mars Communication Satellite - Sam Zemlicka-Retzlaff
Spacecraft must reject heat accumulated from environmental sources and internal electronics
RequirementsThermal control system must keep components between operating temperatures• Solar panels: [-150 °C, 100 °C] [1] (Presentation topic)• Battery: [-20 °C, 55 °C] [2]
• Propellant: below -186 °C (Connor Lynch)• Reaction wheels: [-25 °C, 70 °C] [3]
• Computer system: [0 °C, 50 °C] [1]
Assumptions• Solar panel backside temperature is 40 °C [4] nominally, typical
value• Solar panels always oriented with collectors facing sun• Heat transmitted instantaneously between front and back side of
solar panel• Negligible internal heat generation inside solar panels
MEHDL: Mars Earth High Data LinkMNet: Mars Communication Network
Albedo flux
Solar flux
Radiator flux Mars IR flux
THE SOLUTION: COATING BACK SURFACE WITH WHITE PAINT
Solar panels typically are coated with white paint to emit radiation from the body[4]
Taking into consideration planetary albedo, infrared radiation, and solar flux:
Used properties of S13G-LO[4] assuming a coat thickness of 0.254 mm[5]
Produced radiation fluxes within reason to literature[4], order of 450 W/m2
Further analysis will focus on chassis internal components
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Satellite Name Painted Area (m2) Mass (kg)
MNet 1.03 0.351
MEHDL Relay 14.7 5.00
MEHDL Mars Terminal 14.2 4.83
MEHDL Earth Terminal 30.8 10.5
APPENDIX: REFERENCES[1] Zemlianoy, P., “Thermal Control of Space Electronics.” September 1996. https://www.electronics-cooling.com/1996/09/thermal-control-of-space-electronics/#
[2] Liu, G., Ouyang, M., Lu, L., Li, J., Han, X. “Analysis of the heat generation of lithium-ion battery during charging and discharging considering different influencing factors.” Published online 31 January 2014.
[3] Rockwell Collins, “HT-RSI High Motor Torque Momentum and Reaction Wheels 14 – 68 Nms with integrated Wheel Drive Electronics”, 2007. http://www.electronicnote.com/RCG/HT-RSI_A4.pdf
[4] Gilmore, D. “Spacecraft Thermal Control Handbook, Volume I: Fundamental Technologies”, Published 2002.
[5] Wilkes, D., Thermal Control Surfaces Experiment,” NASA, January 1999. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19990021250.pdf
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APPENDIX: CALCULATIONS
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From reference [4]
silicon properties white paint properties
α ε α ε
0.1 0.8 0.2 0.85
APPENDIX: MATLAB SCRIPTclear;clc
eta = 0.5; %optimal efficiency of a heatpipe/radiator combinationepsS = .8; %emmitance of quartz alphaS = .1;boltz = 5.6703e-8; %Watt/m^2/K^4Tb = 273.15 + 40; %assumption based on "typical values"fluxout = eps*eta * boltz*Tb^4; %W/A
%% Solar panels - MNet - Painted on back side to get rid of heat solar_area = 17.0913; %[m^2]
%Assumpitons- active face of solar panels always facing sun, other side%pointed at space or planetsunIR = .47* 589; %W/m^2 mean solar flux at mars distance times amount of IRmarsIR = 390; %W/m^2 - at surface marsAlbedo = .3* 589; % at surface - W/m^2 amount of solar flux reflected off of martian surface
%assuming planetary effects decrease with distance from surfaceMNetIR = marsIR*(3396.19/32500)^2;MNetAlbedo = marsAlbedo*(3396.19/32500)^2 ;%finding albedo at distance from surface
Qinternal = 0;
%temperaturestemp = 273 + 40; %assuming nominal radiator temperature of 60 C
%assuming eta and alpha:epsW = .85; %lowest value found for white paint, emittancealphaW = .20; %absorbance of white paint MNet_radiator_flux = epsW * boltz * temp^4%radiator areaMnet_radiator_area = solar_area * alphaS * sunIR / (epsW * boltz*temp^4 - epsW * MNetIR - alphaW * MNetAlbedo)MNet_radiator_power = MNet_radiator_flux * Mnet_radiator_area
%% Solar panels - MEHDL Mars Terminal - Painted on back side to get rid of heat solar_area = 232.7135; %[m^2]
%Assumpitons- active face of solar panels always facing sun, other side%pointed at space or planetsunIR = .47* 589; %W/m^2 mean solar flux at mars distance times amount of IRmarsIR = 390; %W/m^2 - at surface marsAlbedo = .3* 589; % at surface - W/m^2 amount of solar flux reflected off of martian surface
%assuming planetary effects decrease with distance from surfaceMTermIR = marsIR*(3396.19/20427.7)^2;MTermAlbedo = marsAlbedo*(3396.19/20427.7)^2; %finding albedo at distance from surface
Qinternal = 0;
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%temperaturestemp = 273 + 40; %assuming nominal radiator temperature of 40 C
%assuming eta and alpha:epsW = .85; %lowest value found for white paint, emittancealphaW = .20; %absorbance of white paint MTerm_radiator_flux = epsW * boltz * temp^4%radiator areaMTerm_radiator_area = solar_area * alphaS * sunIR / (epsW * boltz*temp^4 - epsW * MTermIR - alphaW * MTermAlbedo)MTerm_radiator_power = MTerm_radiator_flux * MTerm_radiator_area
%% Solar panels - MEHDL Earth Terminal - Painted on back side to get rid of heat solar_area = 232.7135; %[m^2]
%Assumpitons- active face of solar panels always facing sun, other side%pointed at space or planetsunIR = .47* 1284.4; %W/m^2 mean solar flux at mars distance times amount of IREarthIR = 252; %W/m^2 - at surface EarthAlbedo = .3* 1284.4; % at surface - W/m^2 amount of solar flux reflected off of martian surface
%assuming planetary effects decrease with distance from surfaceETermIR = EarthIR*(6378/42164)^2;ETermAlbedo = EarthAlbedo*(6378/42164)^2; %finding albedo at distance from surface
Qinternal = 0;
%temperaturestemp = 273 + 40; %assuming nominal radiator temperature of 40 C
%assuming eta and alpha:epsW = .85; %lowest value found for white paint, emittancealphaW = .20; %absorbance of white paint ETerm_radiator_flux = epsW * boltz * temp^4%radiator areaETerm_radiator_area = solar_area * alphaS * sunIR / (epsW * boltz*temp^4 - epsW * ETermIR - alphaW * ETermAlbedo)ETerm_radiator_power = ETerm_radiator_flux * ETerm_radiator_area
%% Solar panels - MEHDL Relay - Painted on back side to get rid of heat solar_area = 245.15210; %[m^2]
%Assumpitons- active face of solar panels always facing sun, other side%pointed at space or planetsunIR = .47* 589; %W/m^2 mean solar flux at mars distance times amount of IR
Qinternal = 0;%temperaturestemp = 273 + 40; %assuming nominal radiator temperature of 60 C
%assuming eta and alpha:epsW = .85; %lowest value found for white paint, emittancealphaW = .20; %absorbance of white paint relay_radiator_flux = epsW * boltz * temp^4%radiator arearelay_radiator_area = solar_area * alphaS * sunIR / (epsW * boltz*temp^4)relay_radiator_power = relay_radiator_flux * relay_radiator_area
END-OF-LIFE OPERATIONS FOR MARS-EARTH HIGH DATA LINK
(MEHDL) SATELLITESHenry Heim
Mission DesignScience Support
2/6/2018
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THE PROBLEMWhat do we do when MEHDL satellites reach the end of their 15-year lifespan?
• Leave them where they are?
• De-orbit them?• Some are in Solar orbits
• Move them to a graveyard orbit?
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Mars-Earth High Data Link has:
• 2 heliocentric relay satellites
• 3 aerostationary transmit/receive satellites
• 3 geostationary transmit/receive satellites
All use Argon Hall thrusters
Empty mass (Mg)
Semi-major axis (km)
Eccentricity
Heliocentric 2.795 227,900,000 0.064
Aerostationary 2.834 20,430 0
Geostationary 1.134 42,160 0
No matter what we do, we should passivate the satellites if we can to prevent accidental energy
discharge
SOLUTION
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De-Orbit (m/s) Graveyard (m/s) Graveyard size (km)Heliocentric - 0.5304 10,000
Aerostationary 293.6 5.112 145
Geostationary 214.3 10.88 300
Delta v:
De-Orbit (kg) Graveyard (kg)Heliocentric - 0.1417
Aerostationary 80.42 1.385
Geostationary 23.42 1.180
Propellant Mass*:
*Includes 50% factor of safety
Recommendation:
Move any outdated satellites to graveyard
orbits
APPENDIX – EQUATIONS/DATA
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GM for Sun 1.327 x1011 kg3 m-2
GM for Mars 4.283 x104 kg3 m-2
GM for Earth 3.986 x105 kg3 m-2
Helio. transfer a 2.279 x108 kmHelio. dV1 0.2482 m s-1
Helio. dV2 0.2821 m s-1
Aero. dV1 2.646 m s-1
Aero. dV2 2.641 m s-1
Geo. dV1 5.626 m s-1
Geo. dV2 5.615 m s-1
Lambda 0.9De-orbit altitude 50,000 kmHall thruster Isp 1600 s
APPENDIX - CODEclear;close allclc;
uSun = 132712200000;uMars = 42828.371901284;uEarth = 398600.4418;
rMars = 3396.19;rEarth = 6378.137;
%% Graveyard orbits
Helio_a = 2.27937e8;Helio_e = 0.064;Helio_m = 2.795e3;Aero_a = 20428;Aero_e = 0;Aero_m = 2.834e3;Geo_a = 42164;Geo_e = 0;Geo_m = 1.134e3;
%%% This is how much higher the graveyard orbit is than the regular orbitHelio_buffer = 10000;Aero_buffer = 150;Geo_buffer = 310;%%%
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Helio_a_transfer = Helio_a + Helio_buffer / 2;Helio_a_new = Helio_a + Helio_buffer;Aero_a_new = Aero_a + Aero_buffer;Geo_a_new = Geo_a + Geo_buffer;
% The Helio orbit isn't circular so it's more complicated to find dVHelio_p = Helio_a * (1 + Helio_e) * (1 - Helio_e);Helio_rp = Helio_a * (1 - Helio_e);Helio_ra = Helio_a * (1 + Helio_e);Helio_vpm = sqrt(2 * uSun / Helio_rp - uSun / Helio_a);Helio_vpp = sqrt(2 * uSun / Helio_rp - uSun / Helio_a_transfer);Helio_vam = sqrt(2 * uSun / Helio_ra - uSun / Helio_a_transfer);Helio_vap = sqrt(2 * uSun / Helio_ra - uSun / Helio_a_new);Helio_dV = abs(Helio_vpm - Helio_vpp) + abs(Helio_vam - Helio_vap);
% The other ones are easier since they're circular[Aero_dV1, Aero_dV2] = Hohmann(Aero_a, Aero_a_new, uMars);[Geo_dV1, Geo_dV2] = Hohmann(Geo_a, Geo_a_new, uEarth);
Aero_dV = Aero_dV1 + Aero_dV2;Geo_dV = Geo_dV1 + Geo_dV2;
disp('Graveyard delta-vs (m/s)');disp([Helio_dV; Aero_dV; Geo_dV] * 1000);
%% De-orbitingdeorbit_alt = 50000;
Mars_dV = Hohmann(Aero_a, rMars + deorbit_alt, uMars);Earth_dV = Hohmann(Geo_a, rEarth + deorbit_alt, uEarth);
disp('De-orbiting delta-vs (m/s)')disp([Mars_dV; Earth_dV] * 1000);
%% Masslambda = 0.9;Isp = 1600 * 9.81;
% GraveyardHelio_mp = Propellant_Mass_new(Helio_dV, Isp, Helio_m, lambda) * 1.5;Aero_mp = Propellant_Mass_new(Aero_dV, Isp, Aero_m, lambda) * 1.5;Geo_mp = Propellant_Mass_new(Geo_dV, Isp, Geo_m, lambda) * 1.5;
APPENDIX - SOURCESMEHDL empty masses: Duncan Harris
MEHDL orbital elements: Ryan Duong
De-orbit altitude: Eliot Toumey and Andrew Blaskovich
Propellant mass equation: Michael Rose
Lambda values: Earthlink (2009). Rocket Mass Characteristics V4.6. Online. Accessed February 2, 2018 from http://home.earthlink.net/~apendragn/atg/coef/Structural_Coef.pdf
Earth geo. graveyard: Johnson Space Center (n.d.). Orbital Debris Mitigation Standard Practices. Online. Accessed February 2, 2018 from https://orbitaldebris.jsc.nasa.gov/library/usg_od_standard_practices.pdf
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ROVER SPECTROMETER DESIGN
Nick DwyerVehicle and Systems: Science SupportDiscipline: Communication and Control
02/27/2018
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THE PROBLEM
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Requirements and Constraints● Must be manufacturable on Mars● Must fit within rover MPV constraints● 300 nm - 1000 nm spectrum range (Alaina Glidden)● 0.6 nm spectrum precision (Alaina Glidden)
Goal
Desired ‘Luxury’ Features● Perform spectroscopy from a distance on material
not accessible by rover drill● Minimal sample loss
● Determine chemical breakdown of collected samples onboard science rovers or probes
● Especially necessary in the following missions:○ Signs of past life on Mars○ Study Martian impact craters○ Create geologic history of Mars○ Study Phobos
THE SOLUTION
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Method:Laser-Induced Breakdown Spectroscopy (LIBS)• Uses ~1 W, 1064 nm laser to turn very
negligible amount of sample to plasma• This method can be used from roughly
5 m away, depending on the quality of the optics
Design:• One spectrometer is used for both
internal and external spectroscopy• Spectrometer design is a Mars-adapted version of the StellarNet Blue-Wave
○ 200 nm - 1050 nm range ○ 0.2 nm resolution (2048 pixel CCD)
Bottom Line:Mass: 3.2 kg Power: 42.7 W (peak) Volume: 245 cm3
APPENDIX I: BREAKDOWNS
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MassComponent Approximate Mass
Spectrometer, Laser, Lens, and Casing
1.1 kg
Spectrometer boom and motor 1.6 kg
Sample arm, motors, and shaft 2.1 kg
PowerComponent Peak Power Consumption
Spectrometer and laser 12 W
Spectrometer motor 16.3 W
Sample arm motors/actuators 14.4 W
APPENDIX II: MANUFACTURING
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● Laser: Method covered by Mitch Hoffman for fiber optics● CCD Sensor: Nearly identical process and similar
materials to computer chip design (CDR)● Optical Elements: Requires arc furnace for casting and
precision grinder. Carbon polish. ● Monochromator: Laser etched silicon. High precision.● Casings, hardware, boom: No milling required,
extrusion/casting acceptable. Drilling required. Aluminum or equivalent.
SOURCES
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[1] “BLUE-Wave Miniature Fiber Optic Spectrometer Data Sheet” Stellar Net Available:https://www.stellarnet.us/wp-content/uploads/StellarNet-BLUE-Wave-SPEC.pdf
[2] Castle, B. C., Talabardon, K., Smith, B. W., and Winefordner, J. D., “Variables In¯ uencing the Precision of Laser-Induced Breakdown Spectroscopy Measurements,” Handbook of Laser-Induced Breakdown Spectroscopy, vol. 52, 1998, pp. 649–657.
[3] “Crouzet 80547024 Data Sheet” Crouzet Motors Availablehttp://media.crouzet.com/datasheets/english/synchronous-motors-reversible-synchronous-geared-motors-5-nm-3-5-and-7-2-watts-7-2-watts-Part%20number-80547024.pdf
[4] “Crouzet DC Motors Selection Guide” Crouzet Motors Availablehttps://media.digikey.com/pdf/Data%20Sheets/Crouzet%20PDFs/Crouzet%20DC%20Motors%20catalog%20download.pdf#page=36
[5] Hussain, T., and Gondal, M. A., “Laser induced breakdown spectroscopy (LIBS) as a rapid tool for material analysis,” Journal of Physics: Conference Series, 2013.
[6] Palmer, E. W., Hutley, M. C., Franks, A., Verrill, J. F., and Gale, B., “Diffraction gratings (manufacture),” Reports on Progress in Physics, vol. 38, Apr. 1975.
[7] Rai, V. N., “Laser-Induced Breakdown Spectroscopy,” Raja Ramanna Centre for Advanced Technology, 2007.
[8] Thompson, J. R., Wiens, R. C., Barefield, J. E., Vaniman, D. T., Newsom, H. E., and Clegg, S. M., “Remote laser-induced breakdown spectroscopy analyses of Dar al Gani 476 and Zagami Martian meteorites,” Journal of Geophysical Research, vol. 111, 2006.
SEISMIC STATION NETWORK
Nick JancichScience
Science Support2-27-18
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MISSION• Want to map the interior of
Mars• Better understanding of its formation/layers
• Is the core offset?
• Requirements to start• Need around the scale of 145+ stations
around the entire surface• Needs to be placed on bedrock
• Some surface bedrock, but needs drilling in areas to get below the soil to the bedrock.
• Try to be ~ 1.5 radii away from craters • Rover
• In the process of scaling up rover size• Able to drill boreholes to place on subsurface
bedrock • Can traverse globally
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Seismograph CAD Model created by Logan Kirsch
WHAT TO MONITOR • Considering impacts as a seismic source
• Impact rate >200, almost entirely small asteroids or bits of comets per year that form craters at least 4 meters across. [5]
• These small impacts are not enough to generate seismic energy through most of the interior. Can give regional seismic activity that could give data on the crust and upper mantle.
• An impact with seismic activity being measured globally occurs once a year (optimistic) to possible once every ten years. (moment magnitude 10^14 J, giving a magnitude of 3.5) [1]
• Considering marsquakes as a seismic source• For maximum magnitude
• Compare to intraplate oceanic earthquakes• Away from plate boundaries and lithosphere is cooling
• Largest estimated marsquake possible is magnitude 7 [2]• For average magnitude
• Lithospheric stresses caused by cooling usually generate events up to a magnitude of 6. [2]
Next step is to figure out how much material is needed, how to send the data collected from the sites, and how these stations will be set up.
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APPENDIX I – FINDING MAGNITUDES
Gutenberg-Richter magnitude energy M = 0.67 x log10(mag[J]) – 5.87 [3]
M is the seismic magnitude and E is the kinetic energy release of the impactor in Joules.
The table below is from N.A. Teanby, J. Wookey, 2011 [1], and it models the cratering rate on Mars, the amount of energy released by each impact (J), the magnitude of each impact, and the diameter of the impact crater (m).
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APPENDIX II - STATION DISTRIBUTION• Surface Area (SA) of Earth ~510e6 km2
• USGS Global Seismic Network (GSN) has ~ 150 stations globally• If evenly distributed 1 station / 3.4e6 km2
• Approx. SA of land mass on Earth is ~30% of total SA, so ~ 150e6 km2, 150 stations
• If evenly distributed 1 station / 1e6 km2
• SA of Moon ~ 38e6 km21• Had 5 separate seismometers (1 / 7.6e6 km2)
• Was able to provide a detailed look at the Moon’s interior
• SA Mars ~ 145e6 km2
• If there was 40 stations evenly distributed there would be 1 station / 3.6e6 km2
• If there was 145 stations evenly distributed there would be 1 station / 1e6 km2
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APPENDIX III – AREA FOR 1 STATION
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For 145 stations relatively evenly spaced globally gives 1 station / 1e6 km2.The red box is the region under 1 station.
APPENDIX IV – OBSERVED BEDROCK
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Green areas are identified bedrock on the surface that we can use. Uses a thermal inertia > 1200 J m-2 K-1 s-1/2 as bedrock. [4]
REFERENCES[1] Teanby, N. A., Wookey, J., “Seismic detection of meteorite impacts on
Mars,” Physics of the Earth and Planetary Interiors. vol. 186, 2011, pp. 70-80.
[2] Golombek, M. P., ‘Constraints on the Largest Marsquake,” Abstracts of the 25th Lunar and Planetary Science Conference, 1994, pp. 441-442.
[3] Collins, G. S., Melosh, H. J., Marcus, R. A., “Earth Impact Effects Program: Aweb-based computer program for calculating the regional environmental consequences of a meteoroid impact on Earth,” Meteoritics & Planetary Science, vol. 40, 2005, pp. 817-840.
[4] Edwards, C. S., Bandfield, J. L., Christensen, P. R., Fergason, R. L., “Global distribution of bedrock exposures on Mars using THEMIS high-resolution thermal inertia,” Journal of Geophysical Research, vol. 114, 2009, pp. 1-18.
[5] “NASA Probe Counts Space Rock Impacts on Mars,” NASA Available:https://www.jpl.nasa.gov/news/news.php?release=2013-162
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LANDING SITE FOR REENTRY SPACECRAFT
Michael RoseMission Design
Science Support2/27/2018
146
THE PROBLEM
Objective: • Determine landing location for cycler taxi
so Ground Transport can develop retrieval system accurately
• Determine landing ellipse for moon missions so Science Support can develop retrieval systems for the payload accurately
Requirements: • There should be no major large craters
within 1 km of the landing site• Landing site needs to be a safe distance
away from city, but closeConsiderations:
• To reduce complexity, assume same targeted landing site for all reentry vehicles
• Use Monte Carlo simulation of 2000 runs, with a 3-𝛔𝛔 ellipse
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Satellite CAD Model of moon mission created by Logan Kirsch
THE SOLUTION
148
• Cycler taxi ellipse is 50 m x 50 m and is centered at (89.283oE, -36.471oN) at 16.9 km from the city
• Phobos mission ellipse is centered at the same location and is 84.2 km x 13.8 km, with a minimum distance of 10 km from the city, and a maximum distance of 24.6 km from the city.
• Deimos mission ellipse is centered at the same location and is 78.6 km x 13.6 km, with a minimum distance of 10 km from the city, and a maximum distance of 23.8 km from the city. 148
Image credit and landing site collaborated with Alaina Glidden
A-1: SIMULATION OF RESULTS
Monte Carlo Simulation of 2000 runs. Each ellipse is a 3-𝛔𝛔 ellipse (989 out of 1000 trajectories will land inside the ellipse). The majority of trajectories are near the targeted landing site (center of ellipse)
149Figure 2: Phobos landing analysis
Figure 1: Deimos landing analysis
Mission Lander Semimajor axis a [km]
Semiminor axis b [km]
Phobos 42.1 6.9
Deimos 39.3 6.8
A-2: MODEL ASSUMPTIONS
• Cycler Lander can land in a 50x50 meter ellipse with Terrain Contour Matching (TERCOM, credit: Annie Ping) and human piloting (credit: John Cleveland)
• Cycler lander, Phobos lander, and Deimos lander can get in correct inclination before re entry to land in correct location
• CD is constant for Phobos and Deimos lander reentry ellipse analysis• flight path angle = -14o at an altitude of 80 km for Phobos Lander [6]• Wind effects are ignored in calculating landing ellipse• Propulsion system on the Phobos and Deimos Lander, similar to the one used on the Taxi
Lander, starts retrograde thrust at around an altitude = 10 km• Span on Phobos and Deimos Lander does not have a huge impact on landing ellipse (see
slide A-4)• A minimum distance of 10 km from the city to the nearest point on the landing ellipse is a
safe distance away for the landing site• For modelling ellipse, the best ellipse is the one with the minimum amount of area
150
A-3: ERROR ASSUMPTIONS
The following are assumptions used in spacecraft parameter errors the in the Monte Carlo Simulation of 2000 runs [6]. These error values use a Gaussian distribution.
151
⍴ error 7% [1], [4], [5]
V error 100 m/s
CD error 4.062% [2]
Mass error 2 kg [6]
𝝲𝝲 error .6 [6]
152
A-4: Analysis of Span on landing
• Unsure about span of reentry vehicle• The table below shows effect of span on landing ellipse• Monte Carlo Simulation of 2000 trajectories • 3-𝞂𝞂 ellipse (98.9% of trajectories land within the ellipse) [3]• Center of Ellipse is the targeted, optimal trajectory [3]• These values and figures are for the Phobos mission.
Conclusion:
● Span has little effect, use S = 10 m2 for Phobos and Deimos spacecraft
152
Span S (m2) semimajor axis a (km) semiminor axis b (km)
3 45.8 7
5 43.4 7.1
10 42.1 6.9
20 45.2 6.4
Figure 3: S = 10 m2
Figure 4: S = 5 m2
A-5: REFERENCES[1] Schilling, G.F., “Limiting Model Atmospheres of Mars,” The Rand Corporation [online],
https://www.rand.org/content/dam/rand/pubs/reports/2009/R402.pdf [retrieved 18 Feb. 2018][2] Saltzman, E. J., Wang K. C., and Iliff K. W., “Aerodynamic Assessment of Flight-Determined
Subsonic Lift and Drag Characteristics of Seven Lifting-Body and Wing-Body Reentry Vehicle Configurations,” Nasa [online], https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20030003696.pdf [retrieved 18 Feb. 2018]
[3] Lakdawalla, E., “Landing ellipses,” The Planetary Society [online], http://www.planetary.org/blogs/emily-lakdawalla/2008/1425.html [retrieved 18 Feb. 2018]
[4] Glenn Research Center, “Mars Atmosphere Model,” Nasa [online], https://www.grc.nasa.gov/www/k-12/airplane/atmosmrm.html [retrieved 18 Feb. 2018]
[5] Martinez I., “Thermal Characteristics of the Space Environment,” Space Environment [online], http://webserver.dmt.upm.es/~isidoro/tc3/Space%20environment.pdf [retrieved 18 Feb.
2018][6] Scott A. Striepe, D. W. Way, A. M. Dwyer, and J. Balaram. "Mars Science Laboratory Simulations
for Entry, Descent, and Landing", Journal of Spacecraft and Rockets, Vol. 43, No. 2 (2006), pp. 311- 323. https://doi-org.ezproxy.lib.purdue.edu/10.2514/1.19649
Data for the Phobos and Deimos missions (entry velocity, entry mass, etc) is provided by Riley Viveros
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A-6: CODE FOR LANDING ELLIPSE% This script calculates the landing trajectory of a given spacecraft onto% the martian surface. It then does a Monte Carlo Simulation to calculate% the smallest 3-sigma (98.8% accuracy) Landing ellipse (landing footprint)%% By Michael Rose, last modified 2017-02-16
clear;close all; clc;%% basic inputst0 = 0; %initial start time [sec]tf = 5000; %final end time [sec]dt = t0:.1:tf;num_MCS = 2500; %number of iterations used for monte carlo simulationacc = .989; %accuracy for the ellipse (using 3-sigma accuracy = .988)%% variations (errors) in initial conditions. density error not included yetincl_error = .2; %inclination error [deg]gamma_error = .2; %flight path angle error[deg]V_error = 100; %spacecraft velocity error[m/s]pos_error = 0; %spacecraft position error[m];C_D_error = .0528; %drag coeff errorMass_error = 600; %mass of spacecraft error [kg];
154
%% The Ideal conditions. From these, we can produce the ideal trajecotry% and landing location. This location is used for the center of the% landing ellipse
g = 3.73; %gravity constatnt [m/s^2]C_D_id = 1.3;M_id = 3066;gamma_id = -5; %degrees;incln_id = 45; %degrees;S_id = 3; %m^2x_0_id = 0;y_0_id = 0;z_0_id = 80000; %metersV_mag_id = 4186; %m/sVz_0_id = V_mag_id*sind(gamma_id);Vx_0_id = V_mag_id*cosd(gamma_id)*cosd(incln_id);Vy_0_id = V_mag_id*cosd(gamma_id)*sind(incln_id);u02_id = [x_0_id,y_0_id,z_0_id,Vx_0_id,Vy_0_id,Vz_0_id];
warning('off','all')
A-6: CODE FOR LANDING ELLIPSExoverFcn = @(t_id,x_id) HitSurfaceFcn(t_id,x_id,R); %stops integration when spacecraft reaches altitude of 0 meteresoptions = odeset('Events',xoverFcn,'RelTol',1e-11,'AbsTol',1e-11);[t_id,x_id]=ode45(@(t_id,x_id)landing_location_ODE(t_id,x_id,C_D_id,S_id,M_id,g),dt,u02_id,options);
end_point = numel(x_id(:,1));x_pos_id = x_id(end_point,1); %ideal x position [m]y_pos_id = x_id(end_point,1); %ideal y position [m]
%% max amount of g's experiencedV =sqrt(x_id(:,4).^2+x_id(:,5).^2+x_id(:,6).^2);for i = 2:(size(t_id))
g_force(i-1) = ((V(i)-V(i-1))/(t_id(i)-t_id(i-1)))/9.81;endmax_g = max(abs(g_force))
%% This section is the same logic as the ideal condition, only we now apply% A Monte Carlo simulation onto the trajecotry.tic
155
for index = 1:num_MCS%%% assume coeff could be anywhere
randomly between the ideal case and +-%%% the errorC_D = C_D_id+C_D_error*randn;M = M_id+Mass_error*randn;gamma = gamma_id+gamma_error*randn;
%degrees;incln = incln_id+incl_error*randn;
%degrees;S = S_id;
x_0 = 0;y_0 = 0;z_0 = z_0_id; %meters
V_mag = V_mag_id+V_error*randn; %m/sVz_0 = V_mag*sind(gamma);Vx_0 = V_mag*cosd(gamma)*cosd(incln);Vy_0 = V_mag*cosd(gamma)*sind(incln);
u02 = [x_0,y_0,z_0,Vx_0,Vy_0,Vz_0];ww = randn;xoverFcn = @(t,x)
HitSurfaceFcn(t,x,R);options =
odeset('Events',xoverFcn,'RelTol',1e-11,'AbsTol',1e-11);
A-6: CODE FOR LANDING ELLIPSE[t,x]=ode45(@(t,x)landing_location_ODE_MCS(t,x,C_D,S,M,g,ww),dt,u02,options);
end_point = numel(x(:,1));
x_pos(index) = x(end_point,1); %x position of each of the random trajecotries
y_pos(index) = x(end_point,2); %y position of each of the random trajecotries
end%% This section converts the x axis to the planar down range motion, and% y axis to be the cross-range motiontocx_pos_ell_id = cosd(incln_id).*x_pos_id+sind(incln_id).*y_pos_id;y_pos_ell_id = -sind(incln_id).*x_pos_id+cosd(incln_id).*y_pos_id;
x_pos_ell = (cosd(incln_id).*x_pos+sind(incln_id).*y_pos)-x_pos_ell_id;y_pos_ell = -sind(incln_id).*x_pos+cosd(incln_id).*y_pos-y_pos_ell_id;
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%%%converts positon from meters to kmx_pos_ell_id = x_pos_ell_id/1000;y_pos_ell_id = y_pos_ell_id/1000;x_pos_ell = x_pos_ell/1000;y_pos_ell = y_pos_ell/1000;
figure(1)hold onplot(x_pos_ell,y_pos_ell,'r*');plot(0,0,'b*','MarkerSize',20);axis squareaxis equal
%% this section determines the minimum value for the semimajor/minoraxis% (a,b respectively) that meets the accuracy requirment.index = 1;tic
A-6: CODE FOR LANDING ELLIPSEfor b = 1:.1:1.5*max(abs(y_pos_ell))
for a = 1:.1:1.5*max(abs(x_pos_ell))num_in_bounds =
(x_pos_ell.^2)/a^2+(y_pos_ell.^2)/b^2 <=1;if sum(num_in_bounds) >= acc*num_MCScheck_num(index) =
sum(num_in_bounds);a_min(index) = a;b_min(index) = b;index = index+1;endend
end
for a = 1:.1:1.5*max(abs(x_pos_ell))for b = 1:.1:1.5*max(abs(y_pos_ell))
num_in_bounds = (x_pos_ell.^2)/a^2+(y_pos_ell.^2)/b^2 <=1;
if sum(num_in_bounds) >= acc*num_MCScheck_num(index) =
sum(num_in_bounds);a_min(index) = a;b_min(index) = b;index = index+1;end
endendtocArea_ell = pi.*a_min.*b_min;min_loc = (find(min(Area_ell))); 157
true_a = a_min(min_loc(1))true_b = b_min(min_loc(1))Min_area = Area_ell(min_loc(1))
check_num_min = check_num(min_loc(1))%% This section plots the landing ellipsee = sqrt(1-(true_b/true_a)^2); %eccentricityTheta_star = 0; %true anomaly
P = true_a*(1-e^2);n = 1;while Theta_star <=360*(pi/180)
R = (P)/(1+e*cos(Theta_star)); %calculates R for ellipse at different angles
e_dir(n) = R*cos(Theta_star); %calculates e_hat dir for ellipse
p_dir(n) = R*sin(Theta_star); %calculates p_hat dir for ellipse
Theta_star = Theta_star+.001;n = n+1;
endfigure(1)hold onplot(e_dir+true_a*e,p_dir)title('Landing Ellipse');xlabel('distance [km]');ylabel('distance [km]');
A-7: CODE FOR LANDING ODE% This script integrates the EOM's for the landing_ellipse_final.m script% By Michael Rose, last modified 2017-02-16function f= landing_location_ODE_MCS(t,x,C_D,S,M,g,ww)h = x(3);xp = zeros(6,1);V=sqrt(x(4)^2+x(5)^2+x(6)^2);%% Denisty model for mars based on altitude. Still need to incorporate% variations of density for Monte Carlo simulationif x(3) > 7000
rho = (.699*exp(-.00009*h))/(.1921*(-23.4-.00222*h+273.1));
rho = rho+.07*rho*ww;else
rho = (.699*exp(-.00009*h))/(.1921*(-23.4-.00222*h+273.1));
rho = rho+.07*rho*ww;end
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xp(1) = x(4);xp(2) = x(5);xp(3) = x(6);%% These are the equations of motion for the spacecraftxp(4) = -((rho*C_D*S)/(2*M))*V*x(4);xp(5) = -((rho*C_D*S)/(2*M))*V*x(5);xp(6) = -((rho*C_D*S)/(2*M))*V*x(6)-g;
f=[xp(1);xp(2);xp(3);xp(4);xp(5);xp(6)];
end
Terraforming Mars
Brandon SmithScience
Science Support2/27/18
2/27/2018 159
The ProblemConsiderations- One of the primary goals for the project- “The people of Mars have embarked on a
long-term project of terraforming. They envision a day in the far future where the solar system contains two blue marbles. What does the terraforming project look like at this point?” [1]- Ambitious- Never been done before- Will take a relatively long time to accomplish.- 2 stage problem- Rebuild the Martian magnetosphere- Rebuild the Martian atmosphere- Knowns- Rate of atmospheric loss:
3156 Mg/year - To solve- What is the MPV for each sub-solution?- What are the benefits/drawbacks of each sub-solution?
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Requirements: - A Magnetosphere tail that
envelops all of the Martian system (Mars, satellites, etc).
- The atmospheric loss rate is severely reduced, to about Earth levels, if possible
- The process creates a stable atmosphere, with similar composition to that of Earth.
SOLUTION1. Rebuilding theMagnetosphere
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2. Rebuilding theAtmosphere
1A. L1 Magnetic “Shield”- Benefits
Materials are not that hard to obtainRequires no power input to work
- DrawbacksRequires it to be built in spaceRequires transport to the L1 pointCostly, in terms of materialsWill take a long time to produce
Impacting the Surface- Impacting the surface would
release volatiles within the Martian crust
- Every so often (2-3 years), we would launch to the asteroid belt, obtain some asteroids, and launch them into the Martian poles
- After this, we can start to vent out any remaining gasses we need in order to recreate Earth’s atmosphere (Oxygen, Carbon Dioxide, etc.)
- Total mass to release volatiles in the Martian poles: 1016 kg (Megan Harwell)
Conclusions: Both processes for rebuilding the Magnetosphere require tremendous amounts of resources. However, the ring system requires rarer minerals that may take a longer amount of time to obtain and refine. As such, given the choice between the two systems, I recommend the colony begin to set aside excess Iron and Nickle to begin production of the L1 Magnetic Shield in order to star the process of terraforming.
2A. Planetary Ring System- BenefitsOn MarsLow volume (0.24 km3)- DrawbacksMaterials needed are rare on Mars Costly, in terms of minerals
Will take a long time to produce
APPENDIX 1: L1 LAGRANGE “SHIELD”
162
L1 Lagrange “Magnetic Shield” Source: Green, J. L., Hollingsworth, J., Brain, D., Airapetian, V., Glocer, A., Pulkkinen, A., Dong, C., and Bamford, R., A Future Mars environment for science and exploration, 2017.
APPENDIX 2: CROSS SECTION OF RING
163
Cross Section of ring Source: Motojima, O., and Yanagi, N., “Feasibility of Artificial
Geomagnetic Field Generation by a Superconducting Ring Network,” National Institute for Fusion Science, Japan, 2008.
APPENDIX 3: COMPARISON OF L1 SHIELD AND RING SYSTEM
164
POSSIBLEWAYS TO REBUILD MAGNETOSPHERE
L1 “Magnetic Shield”
Ring System (120 rings)
TOTAL MASS 6.11 X 1019 Mg 7.982 X 107 MgTOTAL POWER 0 W ~ 10 GW TOTAL VOLUME 7.61 X 109 km3 0.24 km3
REQUIREDMATERIALS
Iron, Nickle Yttrium, Barium, copper oxide
DISTANCE FROM MARS
~ 1 X 106 km 0 km (On Mars)
CHOICE X
APPENDIX 4: CALCULATING THE L1 “MAGNETIC SHIELD”
• Example “Magnetic Shield”: Recreate Earth’s core• Radius of Earth’s Inner Core: 1220 km• Volume of the inner core: 4/3 pi (1220)3
= 7.61 X 109 km3
• Volume of Iron: 0.85 X (7.61 X 109 km3)= 6.47 X 109 km3
• Mass of Iron: (6.47 X 1018) * 7870 kg/m3 = 5.09 X 1022 kg• Volume of Nickel: 0.15 X (7.61 X 109 km3) = 1.14 X 109 km3
• Mass of Nickel: (1.14 X 1018) * 8908 kg/m3 = 1.02 X 1022 kg • Total Mass of “Magnetic Shield: 1.02 X 1022 + 5.09 X 1022
= 6.11 X 1022 kg = 6.11 X 1019 Mg
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CITATIONS
[1] Longustki, J., Minton, D., Lecture #1: Project Future Mars, 2018[2] Motojima, O., and Yanagi, N., “Feasibility of Artificial
Geomagnetic Field Generation by a Superconducting Ring Network,” National Institute for Fusion Science, Japan, 2008.
[3] Green, J. L., Hollingsworth, J., Brain, D., Airapetian, V., Glocer, A., Pulkkinen, A., Dong, C., and Bamford, R., A Future Mars environment for science and exploration, 2017.
166
THE STRUCTURE OF ISOLATED SHELTERS ON MARS
Trevor WaldmanStructures Discipline Group
Science Support Vehicle & Systems GroupFebruary 27, 2018
2/27/2018 167
THE PROBLEM
• Shelters away from the main city• Any crewed missions (Sci., potentially Res. Ex.)• Storage facilities
• Shelter construction:• 18 m3/person [2] • Aboveground dome; bury under 4 m rock [3]
• Requirements• Radiation dose ≤2.4 mSv/yr. (Longuski) [1]• 3 people + facilities + storage (Sci., potentially Res.
Ex.)
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SOLUTION
• 2.95 m inner diameter• 4 cm Al “1060 Alloy” wall*• 4.6 m long tunnel• 14.4 Mg Al• FEA in appendices• Heat loss: 6.4 kW
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HEAT TRANSFER CODE
6.36 kWHeat loss
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FEA - SOLIDWORKS
• 4 cm Al “1060 Alloy” – 14.44 Mg• Above dome: cyl. of basaltrock:
D = 3 m, H = 7 m• with 3 m tall cone cut out of bottom
• Above tunnel: Rect. prism: H = 4 m • Also: Caterpillar D9 (49.0 Mg)
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FEA - STRESS
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FEA – DISPLACEMENT (MM)
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FEA - STRAIN
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FEA - STRESS, W/O DOZER
2/27/2018 175
SOURCES[1] “Natural Background Radiation,” Nov. 2014. Retrieved from
http://nuclearsafety.gc.ca/eng/resources/fact-sheets/natural-background-radiation.cfm
[2] Whitmire, A., Leveton, L., Broughton, H., Basner, M., Kearney, A., Ikuma, L., and Morris, M., “Minimum Acceptable Net Habitable Volume for Long-Duration Exploration Missions,” NASA Human Research Program, Apr. 2015. Retrieved from https://ston.jsc.nasa.gov/collections/trs/_techrep/TM-2015-218564.pdf
[3] Hassler, D. M., Zeitlin, C., Wimmer-Schweingruber, R. F., Ehresmann, B., Rafkin, S., Eigenbrode, J. L., Brinza, D. E., Weigle, G., Böttcher S., Böhm, E., Burmeister, S., Guo, J., Köhler, J., Martin, C., Reitz, G., Cucinotta, F. A., Kim, M., Grinspoon, D., Bullock, M. A., Posner, A., Gomez-Elvira, J., Vasavada, A., Grotzinger, J. P., “Mars’ Surface Radiation Environment Measured with the Mars Science Laboratory’s Curiosity Rover,” Science.
[4] “Table of Total Emissivity,” Omega Retrieved from: https://www.omega.com/temperature/Z/pdf/z088-089.pdf.
[5] “Thermal Conductivity of common Materials and Gases,” Engineering Toolbox Retrieved from: https://www.engineeringtoolbox.com/thermal-conductivity-d_429.html.
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VIABILITY OF CYCLER VEHICLE AS A RELAY
Eliot Toumey
Mission Design
Space Transportation
2/27/2018
2/27/2018 177
PROBLEM: CAN THE CYCLER BE USED AS AN EARTH-MARS RELAY?
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Context:• Continuous Earth-Mars communication
required by customer• Solar Conjunction between Earth and Mars
occurs twice per synodic period requiring additional link
Requirements:• Sun-Earth-Cycler and Sun-Mars-Cycler
Angular separation greater than 3 degrees during periods of solar conjunction (Ryan Duong and Noah Gordon)
Assume:• 3 degrees sufficient to avoid interferenceProblem: • Can the cycler be used as an Earth-Mars
relay during conjunction of Sun-Earth-Mars?
SOLUTION
2/27/2018 179
Worst case:Link >3°
E →M
C1→E
C1→M
C1→C2
C2→E
C2→M
Results: Cycler vehicle cannot be used
as a relay during solar conjunction once every 15 years
All other instances of solar conjunction (2 per synodic period) can be avoided using the cycler
MPV Implications: At least one additional relay required to maintain continuous communication.
Cycler only Coms
Cycler as Relay
Power (kW) 3.5 40
Antenna Diameter (m)
25 25
Communication link data from Noah Gordon
APPENDIX A: 2 SYNODIC PERIODS
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APPENDIX B: SCRIPT LISTING
2/27/2018 5
APPENDIX B: SCRIPT LISTING
2/27/2018 6
APPENDIX C: METHOD
2/27/2018 7
Angular separation calculated using the relation:
• Inertial state vector of cycler provided by Rob Potter. • Lagrange interpolation with order 5 used to increase the resolution of the angle
data. • Mars and Earth state vectors generated using Earth and Mars ephemerides
included in MATLAB R2016a
APPENDIX D: REFERENCES
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ROTATIONAL CONTROL OF CYCLER
Christopher HunnewellPropulsion
Space Transport2/27/2018
2/27/2018 185
PROBLEM
Cycler must maintain .1 G of acceleration during entire trip (Customer)
Vehicle must rotate at .1651 radians per second during flight (Clevland)
Vehicle must not be rotating during docking with taxi (Toumey)
2/27/2018 186
SOLUTION
8 Monopropellant thrusters around outer ring of cycler
Total mass including propellant 6.905 Mg
Total power draw 1470 W
Hydrazine system
Time to accelerate or decelerate fully is 558 seconds
2/27/2018 187
Image by Anad Iyer
CYCLER DETAILS AND REQUIREMENTS
Cycler moment of inertia is 526882427 kg-m2
(Iyer)
Total angular momentum when rotating is 1.3845 * 107 N-m-s
Outer radius of 36 m (Iyer)
188
THRUSTER ANALYSIS
MR-80B by Aerojet Rocketdyne
ISP of 225
Max thrust of 3100 N
Mass per thruster is 8.51 kg
Propellant mass required of 6.386 Mg
Power per thruster is 183.5 W
189
REACTION WHEELS
Largest available is Rockwell Collins RDR 68
One unit can hold 68 N-m-s
Power draw at max draw is 90 W per unit
Power draw during steady state operation is 5 W per unit
Mass is 7.6 kg per unit
190
COMPARISON
191
Number Needed
Mass [Mg]
Power max [W]
Power at steady state [w]
Reaction Wheels
2.036 * 105 1547 1.8324 * 107
1.018 * 106
MonopropellantThrusters
8 6.905 1470 0
CALCULATIONS
192
REFERENCES[1] “RDR 68 Momentum and Reaction Wheels,” RDR 68 Momentum and Reaction WheelsAvailable: https://www.rockwellcollins.com/Products_and_Services/Defense/Platforms/Space/RDR_68_Momentum_and_Reaction_Wheel.aspx.
[2] “Monopropellant Rocket Engines,” Monopropellant Rocket Engines | Aerojet RocketdyneAvailable: http://www.rocket.com/propulsion-systems/monopropellant-rockets.
193
CYCLER VEHICLE RADIATION SHIELDING
Jacob RoeStructures
Space Transportation2/27/18
2/5/2018 194
RADIATION SHIELDING
The Problem: Mitigate effects of radiation to prevent passengers from increased risk of health issues including cancer.Requirements:• Match annual limit of 500 mSv for 310 day trip (Pharazyn, Toumey)
Assumptions:• Only need to shield parts of habitable ring (Pharazyn)• Unshield dose equivalent rate of 1.84 mSv/day [2]
Need to Determine• Mass of shielding• Materials used
195
POLYETHYLENE BRICKS
• Effectiveness of radiation shielding proportional to number of nuclear interactions [3]
• Light materials with smaller nuclei, such as hydrogen, provide the best shielding [3]
• Liquid hydrogen best, but hard to store
• Polyethylene (CH2)provides similar shielding
• Total mass of 80 Mgto cover inhabited areasof cycler
• Difficult to decrease doselimit further
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RADIATION SOURCES
[1] Rask, J., Vercoutere, W., Navarro, B.J., and Krause, A., “Space Faring The Radiation Challenge,” NASA EP–2008–08–116–MSFC
[2] Zeitlin, C., Hassler, D.M., Cucinotta, F.A., Ehresmann, B., Wimmer-Schweingruber, R.F., Brinza, D.E., Kang, S., Weigle, G., Böttcher, S., Böhm, E., Burmeister, S., Guo, J., Köhler, J., Martin, C. Posner, A., Rafkin, S., and Reitz, G.,“Measurements of Energetic Particle Radiation in Transit to Mars on the Mars Science Laboratory,” Science, Vol. 340, No. 6136, 2013[3] Cucinotta, F.A., Kim, M.Y., Chappell, L.J., “Evaluating Shielding Approaches to Reduce Space Radiation Cancer Risks,” NASA TM-2012-217361
197
MATLAB CODE
198
MATLAB CODE
199
MATLAB OUTPUT
200
IMPROVING OXYGEN PRODUCTION ON THE
CYCLERAndrew PharazynHuman Factors
Space TransportationFebruary 27, 2018
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PROBLEM
Problem: Passengers aboard the cycler need to have a readily available and replenishing supply of oxygen to survive, and currently the system requires a 15.0 Mg water resupply
Requirements:• Must eliminate the need for a water
resupply at the end of each journey• Must turn oxygen production into a
closed-loop process
Assumptions: • Fifty people on cycler• 13 Mg of oxygen need for entire journey• Cabin is pressurized to 101.3 kPa
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SOLUTION
The addition of the “sabatier reaction” and pyrolysis can completely eliminate the need for the water resupply needed for electrolysis.
Sabatier Reaction:• By heating CO2 and two H2 atoms to 400°C, water and methane are
formed [1]• Water is used for oxygen production, and methane goes through
pyrolysis
Pyrolysis of Methane:• Heating methane to 1200°C produces the products carbon and H2 [2]• Carbon is disposed as waste and the H2 is sent back to the sabatier
system
203
APPENDIX• [1] Junaedi, C., Hawley, K., Walsh, D., Roychoudhury, S., Abney, M., and Perry,
J., “Compact and Lightweight Sabatier Reactor for Carbon Dioxide Reduction,” 41st International Conference on Environmental Systems, 2011.
• [2] Sharma, P. K., Rapp, D., and Rahotgi, N. K., “METHANE PYROLYSIS AND DISPOSING OFF RESULTING CARBON.,” Jan. 1999.
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