Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 A5.3.2 - Propulsion on the Orbital Transfer Vehicle Propulsion System Sizing Traditional methods for propulsion sizing are based on chemical propulsion - one could work with estimates for the inert mass fraction and delta V and then use the standard forms of the ideal rocket equation to obtain required propellant masses. For EP, however, propellant mass is only part the story; the required power is actually the true driver of the system. It is therefore necessary to work with a new set of basic sizing equations that, although still derived out of the ideal rocket equation, account for the power system of the spacecraft. This section describes the processes and equations we use. The very first step in the sizing process is to clarify what requirements we have to build on. From the TLI perspective, the payload is a fixed input, comprised of the wet mass of the landing and roving vehicles. Using a guess for an initial mass and selecting an arbitrary time of flight, the trajectory code produces a thrust requirement for the OTV. So in general, the problem takes the following form: Given: Find: 1) Payload mass 2) Thrust 3) Time of flight 1) Required power 2) Propellant Mass 3) Inert system mass A set of secondary constraints further define the design space. This includes physical limits to what the launch vehicle can support, or a finite budget for the project. A set of simplifying assumptions are also useful and necessary to make the analysis manageable. These items are listed below. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Constraints: 1) System must fit inside launch vehicle payload fairing 2) The best solution is the cheapest solution 3) Maximum time of flight is 1 year ο System must be ready to launch by Dec. 31st, 2011 Assumptions: 1) 2) The thruster operates with a constant mass flow rate The specific power of the spacecraft will be similar to historical missions The second assumption is necessary to begin the design process; however it is relaxed once we know more details of the spacecraft components. The required thrust inherently defines a required mass flow rate and specific impulse, although in no particular combination. Equation 5.3.2-1 below is the most basic form of the thrust equation. Pressure effects in EP are insignificant and ignored. π = πΜπΌπ π π0 (5.3.2-1) The above equation is simple, but it is the most critical relationship in defining the propulsion system and the overall spacecraft. Multiplying the mass flow rate by the time of flight gives the total propellant mass. For a time of flight as large as one year, a small change in πΜ has big implications for the initial mass of the OTV. On the other hand, the specific impulse is a direct function of input power, which in turn has drastic effects on the size of solar panels needed. A brief explanation of how an EP system generates thrust helps the understanding of the specific impulse / input power relationship. A Hall Thruster fundamentally operates by ionizing the propellant to a plasma state and using an electrostatic field to accelerate the ions out of the chamber. An applied magnetic field is required to direct the ions along a closed path and to tweak the fields for optimum efficiency and lifetime. The stronger Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 these fields are, the faster the Xenon ions are accelerated, and the higher the specific impulse. Once materials and geometry are set, the only way to increase the strength of the electric fields is to increase the input power. The required power for the HET is given by Equation 5.3.2-2 below. Note that the power is a linear function of mass flow rate, but more importantly a quadratic function of exhaust velocity (or Isp). ππππ = 1 πΜπ£π2 2 π (5.3.2-2) So, increasing the mass flow rate will increase the spacecraft mass and increasing the specific impulse will increase the power requirement. We find an optimum combination of these two parameters by considering the cost of the mission. Xenon propellant currently sells for approximately $1200 per kgDESC, and the solar arrays are purchased at a price of $1000 per Watt. The extra propellant or solar array mass penalty is compounded because of the launch cost, which for the Dnepr is estimated at $3400 per kg. This basic relationship is summarized in equation 5.3-3. Here we note that total cost does not actually include the full price of the mission, just a total useful for propulsion sizing. πΆπ‘ππ‘ππ = ππππ ππ + πππ πππ + π0 ππΏπ (5.3.2-3) There are two paths to take to obtain the initial mass m0. In the first method, we assume a historical value for the specific power, α, of the entire propulsion system. Careful definitions are important for the specific power, which is the total generated power dedicated for EP (in this case by the solar arrays) divided by the mass of the propulsion system (units of W/kg). The mass of the propulsion system includes the traditional items such as the thruster and tank, in addition to power-related items such as the PDCU and PPU. Historical values of α fall between 30 and 50 W/kg. Using this specific power estimate, we use equation 5.3.2-4 to approximate the inert propulsion system mass (SPAD). Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion ππππππ‘ = π£π2 πππ 2πΌππ Section A5.3.2 (5.3.2-4) The symbol τ is the time of flight. The jet efficiency, η, is another performance parameter of the Hall Thruster, distinct but related to specific impulse. Conceptually, jet efficiency is the ratio of flow power (12 πΜπ£π2 ) to thrust. We find values for the efficiency from empirical curves, which are explained later in this section. Once the inert mass is calculated, the initial mass is found as the sum of the propellant mass, inert mass, and payload mass. Then we calculate the total cost in Equation 5.3.2-3. After iterating through several values for mass flow rate, an optimum (minimum cost) solution is found. This cost analysis reveals the interesting trend that the price of the solar cells is the single largest driver in the propulsion system design. For the EP-based Orbit Transfer Vehicle, a system optimized on cost is very different from a system optimized on mass. Consider Figure 5.3.2-1 below. Here the cost of the system, calculated using Equation 5.3.2-3, is plotted for different values for time of flight. Each time of flight has an associated required thrust, per the trajectory code. This data set points to the optimum time of flight for our mission. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Mission Cost vs. Time of Flight 18,000,000 16,000,000 Cost (US $) 14,000,000 12,000,000 10,000,000 8,000,000 Solar Cost = $1000 / W 6,000,000 Solar Cost = $100 / W 4,000,000 2,000,000 0 0 100 200 300 Time of Flight (days) 400 Figure 5.3.2-1: The propulsion system cost versus time of flight for two different prices of solar cells. If the solar cells could be obtained for $100 / W, our mission time of flight would be eight months. But at $1000 / W, which is the team’s best quote, the optimum time of flight is one year. Essentially, the longer mission is the cheaper mission, but that fact is highly sensitive to the price of solar arrays. Thruster Selection The second method for finding inert mass involves calculating the masses of the individual spacecraft components rather than bulking everything together into equation 5.3.2-4. We use this more accurate method as specific data on other subsystems become available. The sizing scheme is iterative on the mass flow rate and specific impulse combination. In general, the sizes of many of the spacecraft components are dependent on those iterating variables. We therefore find it more realistic to incorporate empirical curve-fit data. Within each iteration, the inert mass is calculated as a function of either mass flow rate, specific impulse, or power (whichever data is available). We find empirical data from journal articles or company websites. The curve-fit for the propellant tank curve-fits is shown in figures 3.5.2-2. The data come from the SMART-1, Deep Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Space 1, and Dawn missions, as well as commercial tanks from Pressure Systems Inc. and EADS Launch Vehicles (Brophy, Marucci, & al., 2005). Tank Dry Mass [kg] Tank Mass Curvefit (Low Mass Systems) 60 50 40 30 20 y = 6E-09x4 - 8E-06x3 + 0.0031x2 - 0.2887x + 14.083 R² = 0.9997 10 0 0 100 200 300 Xenon Mass [kg] 400 500 Figure 5.3.2-2:Historical data for Tank mass as a function of Xenon mass. Only low-mass missions were considered. Empirical curves are used for computing the jet efficiency and other performance characteristics as well (King, Tilley, Aadland, & al., 1998) (Szabo & Azziz, 2005) (Azziz, 2007). These data are presented in the figures below. BPT-2000 Isp and Efficiency vs. Power Jet Efficiency 0.6 0.55 y = -2E-21x2 + 3E-05x + 0.4286 R² = 1 0.5 0.45 0.4 0 500 1000 1500 2000 Power (W) 2500 3000 Figure 5.3.2-3: Efficiency curve-fit for the Aerojet BPT-2000. (King, Tilley, Aadland, & al., 1998): Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Power (W) and Efficiency SPAD Hall Thruster Trends 0.8 0.7 0.6 0.5 0.4 0.3 y = -4E-08x2 + 0.0003x + 0.0492 R² = 0.9894 0.2 0.1 0 0 1000 2000 Isp (s) 3000 4000 Figure 5.3.2-4: Efficiency for empirical data out of SPAD. (Turchi, 1995) The empirical data plays a role to help decide which of the available Hall Thrusters is best suited for our mission. By running the optimization scheme for each set of empirical data, we see which thruster will provide the cheapest or lightest mission. Figure 5.3.2-5 below shows the result of this analysis. The total mission mass is broken down into subsystems. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Initial Mass Breakdown by Thruster Choice 800 700 Injected Mass to LEO [kg] 600 Contingency Plumbing Thruster PPU Solar Array Attitude Tank Xenon Structure Payload 500 400 300 200 100 0 SPAD BPT-2000 MELCO BHT-1500 Figure 5.3.2-5: Mass breakdown for the OTV when different thrusters are used. NOTE: This is not based on the team's final configuration data. Note that the “SPAD” bar uses historical data in the textbook Space Propulsion Analysis and Design; we include this as a sanity check. We conclude from the mass breakdown that the BHT-1500 thruster is the best option. Quotes were not available for all the Hall Thrusters, but we do know the BHT-1500 is substantially cheaper than the BPT-2000. Notes on Optimization The sizing algorithm we use ignores the fact that an optimum specific impulse exists for every EP mission. Equation A5.3.2-5 below is an expression for the system payload mass ratio as a function of the delta V, specific impulse, specific power α, thrust efficiency η, and the time of flight tb. πππΏ π0 = π π₯π πΌπ π π0 − − (πΌπ π π0 )2 2πΌππ‘π (1 − π π₯π πΌπ π π0 − ) (A5.3.2-5) Solutions to this equation are plotted for various assumed values of the delta V. To optimize the payload ratio, the ideal specific impulse is 2850 seconds. However, the Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 optimization curve is not particularly steep, and range of 1800 – 4250 seconds can be accepted with only a 6% loss from the optimum payload ratio. Optimum Isp 0.7 0.6 pl Payload Ratio, M /M 0 0.5 0.4 0.3 0.2 0.1 Delta V = 6 km/s Delta V = 8 km/s Delta V = 10 km/s 0 -0.1 1 2 3 4 5 6 Specific Impulse [s] 7 8 9 10 4 x 10 Figure 5.3.2-5: Payload ratio as a function specific impulse, for a generic mission. Some clarification is needed to explain why our “optimum solution” is significantly different from the theoretical “optimal solution.” Basically, the optimum case predicted by Equation A5.3.2-5 completely ignores the fact that the price of power on our spacecraft is much higher than the price of Xenon propellant. I. Power Processing Unit Power input is required for four primary components: an annular anode, a thermionic hollow cathode, a neutralizing ion source, and three or more outer magnetic coils. The Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 PPU runs one cable to the thruster which contains all of these connections, so no extra breakout harness is necessary. As part of a feasibility study, we necessarily draw a line between what level of analysis is fundamentally important and “game-changing”, and what analysis should really be saved for a more detailed design effort. This means understanding which parts of the system are set in stone when you buy it off the shelf, and which parameters are open (and useful) for the customer to optimize. With regards to the Power Processing Unit, we limit our analysis to looking at historical performance numbers. We lack details of the particular PPU Busek would integrate with the BHT-1500. The specifications listed for the PPU in Table 5.3.2-3 come from a combination of industryaverage values found in journal articles rather than a specific model (sources included in Mission Architecture). Tank Selection Xenon becomes supercritical at a very specific temperature and pressure. The blue line in phase diagram in Figure A5.3.2-6 shows the division between the liquid and gaseous state for Xenon. The red line represents the path the Xenon will take during our mission. Property data come from the National Institute for Standards and Technology website. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Temperature (K) Figure A5.3.2-6: Phase diagram of Xenon including the supercritical state. Above and to the left of the line is the liquid phase. Because it would completely invalidate the performance of the Flow Control System, the Xenon must always be kept at a temperature warm enough to be a gas. Note that the propellant will not stay in the supercritical state throughout the whole mission. To be both light-weight and high-strength, the tank needs to be made out of advanced materials that cannot be processed in house. Aluminum, for example, could do the job but the tank would weigh more than double what other materials could achieve. Consider the following tank sizing analysis. The total mass of Xenon required for our GLXP missions is about 150 kg. Stored supercritically at 150 bar (2200 psi), Xenon has a density of about 1600 kg/m3. These conditions require a propellant volume of 0.094 m3 (5720 in3). We assume the tank is a sphere, the material is Aluminum 6061-T6551 (yield stress σ is 40 ksi), and a factor of safety of 1.5. With our propellant mass, the spherical radius r is 11 inches. With all of this information, we solve Equation 5.3.2-6 for the required thickness t of the tank wall. The pressure P is the proof pressure of the tank, which we set to 3000 psia. π‘= πΉπ•ππ 2π Author: Brad Appel (A5.3.2-6) Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 The resulting wall thickness is 0.056 inches. Multiplying by the tank surface area and density, we come up with a tank mass of 28 kg. Composite-overwrapped tanks are commercially available which could hold the same pressure and volume with a dry mass of 10 to 15 kg (Tam, Ballinger, & al., 1996). Although we expect them to be slightly more expensive than the cost of manufacturing the Aluminum tank ourselves, we choose the commercial tanks for the added reliability. Companies who manufacture such tanks include ATK Space Systems, Arde Inc., and Lincoln Composites. Flow Control System Separate propellant flow is required for three components within the HET: the anode, cathode, and neutralizer. The anode takes in about 95% of the mass flow rate. The neutralizer generates a stream of electrons which enter the exhaust plume and cancel out the positive charge of the Xenon ions. Without this feature, part of the exhaust plume would accelerate back towards the thruster and cause a serious net charge on the spacecraft. We design the Flow Control System to accomplish three main tasks: 1) Isolate the high-pressure storage tank 2) Regulate the pressure down to an operating level 3) Regulate the mass flow rate entering the thruster The assembly consisting of the solenoid latch valve, pressure regulator, high-purity filter, sintered flow restrictors, and various pressure transducers shown in Section 5.3.2 demonstrate the bare minimum of parts necessary for the flow to function. Most likely, we would add redundant lines to the system for the real mission. The general layout of the system is adapted from several papers describing flight hardware. Author: Brad Appel (Ganapathi & Engelbrecht, Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 2000) (Bushway III, 1997) (Chojnacki & Bushway III, 1998) (Barbarits & Bushway III, 2003) . We also had very helpful contact with Edward Bushway from Moog Inc. Pressure Drop Near the end of the mission life, the tank storage pressure will have dropped drastically. Because the FCS requires a minimum pressure difference to function, we need to investigate where the tank pressure will be after 365 days. First we develop an estimate for the pressure drop in the FCS. Table A5.3.2-1 below lists the major components in the FCS and their pressure drop according to the manufacturer . The pressure regulator “locks-up” below 50 psia. Because our design is conceptual (Moog) only, we ignore the need for some redundancies in isolation. Therefore, the pressure drops of the main components are counted twice. Table A5.3.2-1 Flow Control System Pressure Drop Part Latch Valve Regulator Filter Flow Restrictor Feed Lines Redundancy Total Pressure Drop 1 50 2 40 2 3 98 Units psid psid psid psid psid psid psid So the Xenon won’t make it through the Flow Control System if the tank pressure drops below 98 psia. We calculate the pressure drop in the tank using the equation of state, shown below. The gas constant for Xenon is 63.3 J/kgK. π π₯π = (π₯ π )π π (A5.3.2-7) We know that the temperature of the tank isn’t changing since we specifically added a thermostat for that reason. Also, of course, the volume of the tank remains constant. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 Therefore, the only property which will affect the pressure is density, which will change by the total propellant mass divided by the tank volume. Using a total Xenon mass of 150 kg, we come up with a tank pressure drop of 2100 psi. So, to keep the Xenon flowing through mission lifetime, we need an initial tank charge of 2198 psia. Thermal Control We assume that after the tank is charged with Xenon to its initial pressure, it will remain at room temperature (298 K) until approximately the time the spacecraft exits the launch vehicle’s payload faring. At this point, the tank will suddenly be exposed to zero temperature. The role of a heating source for the tank is to maintain the Xenon’s temperature at room temperature. The heating source will have to offset radiation from the tank walls out into space. In addition, a certain amount of heat will be lost as a result of the pressure drop. Equation A5.3.2-8 below is an expression for radiation, where σ is the Stefan-Boltzmann constant and ε is the emissivity of the material. π" = πππ 4 (A5.3.2-8) The emissivity of MLI is assumed to be a conservative 0.01. We obtain a radiation heat loss by multiplying the expression in Equation A5.3.2-X by the surface area of the tank. This comes out to 2.3 Watts. We calculate the heat lost due to the pressure drop using the equation of state, and this comes out to 0.9 Watts, giving a total of 3.2 Watts. To be safe, we allocate 5 Watts for a resistance heating wire. The thruster will take in about 1400 watts and produces jet thrust with approximately 55% efficiency. In other words, 45% of the input power (630 Watts) is contributing to some form of energy that doesn’t produce thrust. Two power sinks are considered: the thermal energy rate drawn for raising the temperature of the Xenon, and heat soak out of the thruster. Author: Brad Appel Appendix A – 100g Payload – Electric Propulsion Section A5.3.2 The heat lost to Xenon is calculated to be on the order of ten Watts, which means that just about all of the thrust inefficiency is going to waste heat. See Section A5.3.XX for details on radiator sizing. Author: Brad Appel