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Thermal Analysis and Correlation of the Mars Odyssey Spacecraft's Solar Array During Aerobraking Operations PDF

11 Pages·2002·1.1 MB·English
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Preview Thermal Analysis and Correlation of the Mars Odyssey Spacecraft's Solar Array During Aerobraking Operations

AIAA 2002-4536 Thermal Analysis and Correlation of the Mars Odyssey Spacecraft's Solar Array During Aerobraking Operations John A. Dec, Joseph F. Gasbarre NASA Langley Research Center Hampton VA. Benjamin E. George, 1Lt United States Air Force, Kirkland AFB Albuquerque, NM AIAAJAAS Astrodynamics Conference 5-8 August 2002 Monterey, California AIAA 2002-4536 THERMAL ANALYSIS AND CORRELATION OF THE MARS ODYSSEY SPACECRAFT'S SOLAR ARRAY DURING AEROBRAKING OPERATIONS John A. Dec and Joseph F. Gasbarre National Aeronautics and Space Administration Langley Research Center Hampton, VA 23681-2199 Benjamin E. George, 1Lt United States Air Force Kirtland Air Force Base Albuquerque, NM 87117 ABSTRACT around Mars. To place itself into its 2-hour, 400km circular, sun-synchronous mapping orbit, Odyssey used The Mars Odyssey spacecraft made use of multipass the multipass aerobraking technique, which was utilized aerobraking to gradually reduce its orbit period from a bythe Magellan spacecraft around Venus and the Mars highly elliptical insertion orbit to its final science orbit. Global Surveyor spacecraft around Mars. Aerobraking Aerobraking operations provided an opportunity to makes use of atmospheric drag on each orbit pass to apply advanced thermal analysis techniques to predict gradually reduce a spacecraft's velocity at periapsis, the temperature of the spacecraft's solar array for each which then reduces the altitude at apoapsis. The drag pass. Odyssey telemetry data was used to correlate Magellan spacecraft was the first three-axis stabilized the thermal model. The thermal analysis was tightly spacecraft to perform this type of multipass coupled to the flight mechanics, aerodynamics, and aerobraking.1 Mars Global Surveyor, the second to use atmospheric modeling efforts being performed during multipass aerobraking, gradually reduced its orbit from operations. Specifically, the thermal analysis an elliptic 48-hour period to about a 380km 2-hour predictions required a calculation ofthe spacecraft's circular orbit. velocity relative to the atmosphere, a prediction of the atmospheric density, and aprediction of the heat To control periapsis altitude, Magellan planned on transfer coefficients due to aerodynamic heating. using thermocouple data to signal the need to perform a Temperature correlations were performed by comparing periapsis raise maneuver, which would raise the predicted temperatures of the thermocouples to the periapsis altitude, lower the maximum atmospheric actual thermocouple readings from the spacecraft. density experienced, and thus lower the aerodynamic Time histories of the spacecraft relative velocity, heating onthe spacecraft and solar arrays. In the atmospheric density, and heat transfer coefficients, literature, it was noted that Magellan experienced at calculated using flight accelerometer and qnaternion least 5thermocouple failures prior to the start of data, were used to calculate the aerodynamic heating. aerobraking. 2 It isunclear from the available literature During aerobraking operations, the correlations were if any of these thermocouples were located onthe solar used to continually update the thermal model, thus arrays and were to be used during operations. It isalso increasing confidence in the predictions. This paper unclear whether or not there were any thermal models describes the thermal analysis that was performed and developed and used during the Magellan aerobraking presents the correlations to the flight data. process to make up for the inoperable thermocouples, but there are references toheat rate and surface INTRODUCTION temperature calculations being performed using a direct simulation Monte Carlo particle method. 3'4 In any event it isclear that in the early 1990's the limitations The Mars Odyssey spacecraft was launched on a Delta of computers would have prohibited the use of a II launch vehicle from Cape Canaveral Air Force detailed enough finite element or finite difference Station on April 7th2001. On October 23rd 2001, after a model that could have been run in atimely enough 197-day cruise, the spacecraft performed apropulsive fashion to be used during operations. During the Mars maneuver to insert itself into an 18.5-hour elliptic orbit Global Surveyor operations, the heat rate encountered Copyright©2002bytheAmericanInstituteofAeronanticsandAstronautics,Inc.NocopyrightisassertedintheUnitedStatesunderTitle17, U.S.Code. TheU.S.Governmenthasaroyalty-freelicensetoexerciseallrightsunderthecopyrightclaimedhereinforGovernmentalpurposes. Allotherrightsarereservedbythecopyrightowner. 1 American Institute of Aeronautics and Astronautics duringprevioudsragpassewsasreconstrucutesdinga components and provide the structural integrity during 1-dimensiotnhaelrmamlodealtvarioulsocations launch and throughout aerobraking. Specifically, the arountdhesolaarrraysT.hismodeulsedthespacecraft solar array structure isa sandwich construction with a andsolaarrraythermocoutpelmeperatudraetaasinput 0.190ram facesheet of M55J graphite composite, a todetermiwnehahteartatethespacecraanftdsolar 19.05mm aluminum honeycomb core, and another arrayesxperienceAdth. ermamlodetol predicthte 0.190ram M55J composite facesheet. solaarrraytemperatufroersfuturedragpasseasndto reconstruthcetsolapranetel mperatufroerspasotrbits wasnotavailableO.riginalldy,uringoperationthse, planforMarsOdyssewyastousea1-dimensional l thermamlodeslimilatrothatoftheMarsGlobal SurveymorodelU. nlikeMagellaanndMarsGlobal SurveyoMr,arsOdyssewyasthefirstmultipass ............................................................................@..... aerobrakimngissiotnomakeuseofdetaile3d- dimensionfianliteelemetnhtermamlodedluring operatiotnospredicthtetemperatufroersfutureorbits andreconstruthcetsolapranetel mperatufroerspast orbitsT. hismodeul,sedinadditiotnothe1- dimensionmaoldepl,rovideddetaile3d-,dimensional temperatuprreofileosfthesolaarrrayt,ransiepnltotsof .._ f_s_+_i ,_; maximummateriatelmperatuarensdt,ransiepnltotsof Figure 1. 3-D geometric representation of the Mars thermocoutpelmeperaturIetsa.lsoprovidethdeability Odyssey solar array. toidentiftyhehottesstpotosnthesolaarrraya,nd provideadmeantosdevelothpermaliml itsbaseodn The next layer is a0.05 lmm Kapton sheet that is co- heartateoratmosphedreicnsity. cured to the M55J graphite beneath it. The next layer is the solar cell layer and is made up of several sublayers: 0.190ram Gallium Arsenide solar cells, 0.152ram cover SOLAR ARRAY DESCRIPTION glass, and 0.229mm of adhesives 6. Figure 2 shows a cross-sectional view of the solar array at a The function of Mars Odyssey's solar array is two-fold. represenatative location. First, its primary function isto provide a stable power source for the spacecraft and scientific instruments during all phases ofthe mission. Second, while in the stowed configuration, the solar array provides a large :........._:. ? surface area onwhich the aerodynamic forces can act iii iiii_iiii_!_iiiiiiiii_!_!iiiiiiiii__!iiiiiiiiiii_iiii_!iiiiiiiiii_!_iiiiiiiiii!_!iiiiiiiii__i!._.*ii.i._ii:i_ii,ii__iiii!_iiiiiiiiii!_!_iiiiiiii__!_iiiiiiiiii__iiii during each drag pass ofaerobraking. Following Mars ,_,_._,_ ........... : _:_,_ orbit insertion the Odyssey spacecraft begins aerobraking by slicing through the Martian atmosphere at a relative velocity of about 4.57 km/s. Despite low atmospheric densities of about 80 kg/km 3,these high !i velocities, along with the large exposed surface area, produce significant aerodynamic heating onthe solar array, and spacecraft. Careful design and construction of the solar array allows itto withstand this Figure 2. Cross-section of Mars Odyssey solar array aerodynamic heating. 6 To reinforce certain areas of the array, sections of the standard 19.05ram thick, 1.0 lb/ft3aluminum The Mars Odyssey solar array is athree panel, layered honeycomb core were replaced with ahigher density construction of low density materials. The panels are core of the same thickness. Also, to reinforce the commonly referred to as the +X, -X, and mid panels. array's hard points, a doubler sandwich structure was The +X and 32 panels are mirror images of each other, used. The doubler sandwich structure consisted of while the mid panel has a unique geometry. Figure 1 0.381ram layers of M55J graphite composite on either shows a 3-dimensional geometric representation of the side of a 18.16lmm aluminum honeycomb core. The solar array. This geometric representation was doubler core densities varied depending on the location developed inMSC/PATRAN and was used inthe within the array and the expected loading inthe region aerobraking thermal analysis. Each panel consists of of concern. Examples of such reinforced hard points on five layers; the first three make up the structural the array are the hinge mounting points. Overall, the 2 American Institute of Aeronautics and Astronautics arraydesigmnakeusseoffourdifferendtensity oriented with its high gain antenna pointed towards aluminuhmoneycomcobres. Earth and the solar array normal to the sun. In transitioning to the aerobrake configuration, both heat Toprotecthtearrayfromaerodynamheicatinga, rates and view factors to space for the solar array were 0.072ratmhicklayeorfmultilayeinrsulatio(Mn LI)was calculated as the solar array articulated to its stowed placeodnthefacesheeextposetodtheaerodynamic position. As the spacecraft slewed tothe aerobraking heatinagndarountdheedgeosftheM55Jgraphite configuration, the solar array's view factors to space facesheeTth.ebulkoftheMLIwasonthefacesheet did not change, so view factors did not have to be surfacaen,dasmapllortionwrappeadrountdheedges recalculated for that maneuver. andterminateodnthesolacrellside.Thewidthofthe MLIonthesolacrellsiderangefdrom50 14gram. Figures 3and 4 show the spacecraft and solar array in the aerobrake configuration and vacuum phase ThesolaarrrayhasfivethermocouplTehs.eriesone respectively. This part of the analysis required detailed thermocouopnlethemidpaneolnthesolacrellsideof knowledge ofthe orbit and spacecraft orientation, and thearrayT. he+XandXpanelesachhaveone thus was highly dependent on the flight mechanics thermocouopnlethesolacrellsideandoneonthe"hot" analysis. facesheseidte.Ontheengineeridnrgawin6g,tshe thermocoupalreesdesignatTe1d,T2,T3,T4,andT5. T1andT4areonthe+/-Xpaneolntheexposed facesheseidte.T2,T3,andT5areonthesolacrell sideF;igure1showtshelocationosfthethermocouples onthearray. THERMAL MODELING The thermal analysis of the solar array had three main components: the view factor and orbital heating analysis, the aerodynamic heating analysis, and the VelocityVector computation of solar array temperatures. The calculations were performed in two flight regimes. One regime was the vacuum phase where the spacecraft was Figure 3. Mars Odyssey Thermal Desktop model in in orbit around Mars, but out of the atmosphere. The the aerobrake configuration. thermal environment in this phase was dominated by the solar and planetary heating with negligible aerodynamic heating. The second regime was the aerobraking phase, or drag pass, where the spacecraft made its excursion into the atmosphere. The thermal iiiii#i!iiiiiiiiii environment inthis phase was dominated by the aerodynamic heating with aerodynamic heating being roughly 60 times greater than the orbital heating. Temperatures were calculated for both flight regimes. Accurate calculation of the solar/planetary flux during flight, as well as aerodynamic heating during drag passes, requires that the thermal analysis be tightly coupled to the flight mechanics, aerodynamics, and atmospheric analysis. The orbital heating and view factor analysis, or radiation model, was developed Figure 4. Mars Odyssey Thermal Desktop model in using Thermal Desktop, acommercially available the vacuum phase configuration, view from Earth. software package. 7 The radiation model was developed using engineering drawings of the spacecraft and solar The aerodynamic heating analysis consisted of array. 6 View factor and heat rate calculations were calculating the atmospheric density, the spacecraft performed for several different solar array velocity relative to the atmosphere, and the heating configurations and spacecraft orientations. First, coefficient for points spatially across the array. Using calculations were made with the spacecraft and solar this information, the incident aerodynamic heating was array in its vacuum phase configuration; the spacecraft calculated using equation 1, 3 American Institute of Aeronautics and Astronautics and adhesives that were modeled as an averaged mass spread evenly across the layer. This was an engineering 1 V3 approximation since the wire, solder etc. were not Qi = _t o" .CH (1) evenly distributed across the panels. The titanium hinges and dampers that physically connect the three where pis the atmospheric density, V is the relative solar panels were also included in the model and velocity, and CHis the heat transfer coefficient. This provided a thermal link between the three panels. The calculation was made at 5 second intervals throughout model was highly detailed and included the variations the aerobraking pass to give atransient representation inthe aluminum honeycomb core density as well as the ofaerodynamic heating. The flight mechanics team varying thickness of M55J composite doublers. For all reconstructed the aerobraking pass and provided the materials, properties were included as functions of relative velocity. The density and the heating temperature; for the aluminum honeycomb core and coefficients were calculated using a Direct Simulation M55J facesheets, orthotropic material properties were Monte Carlo (DSMC) particle method which allowed included. The five spacecraft thermocouples were the density to be calculated using acceleration readings modeled as bar elements which had mass and were from the flight accelerometer and the heating thermally connected to the spacecraft with acontact coefficients to be calculated using the density and the resistance. Overall the PATRAN thermal model was a relative atmospheric velocity. Due to the long run physically accurate 3D representation ofthe solar array. times needed to perform the DSMC computations, an Compared to the as-built mass of the solar array of 32.3 aerothermodynamic database was developed prior to kg, the mass of the PATRAN thermal model was 33.4 aerobraking. Then for each time step, the density was kg, a difference of only 3.4%. calculated by interpolating the accelerometer data, and the heating coefficients across the array were calculated The PATRAN thermal model required input boundary by interpolating between density and relative velocity. conditions from the two analysis components The interpolation error onthe heating coefficients was mentioned earlier. The model included radiation to calculated to be about 2%, which was within the space, incorporating the view factors that were accuracy ofthe DSMC calculations. The heat transfer calculated from Thermal Desktop. The orbital and coefficients ranged from apeak value of 0.90 to a low planetary heat fluxes calculated from Thermal Desktop value of 0,and included the surface accommodation were applied to the surfaces of the model as well. The coefficient. The model also accounts for reflected heat, aerodynamic heating and reflected heating boundary which was approximated empirically for this mission conditions were applied to the exposed M55J facesheet using equation 2 and is a function of the incident heat and MLI surfaces. Heating on the edges of the panels flux and surface temperature. was included as 5% of the incident heating of the nodes closest to the edge. Edge radiation was included around the outer-most edges with a view factor to space of 1.0. Qref =ltor3Io.ol5-t-O.lIl- 1 Q_i 3 .ILalll Radiation back tothe spacecraft bus was included, with [_ _ 7pU \300) (2) the spacecraft bus simply modeled as a node with a constant temperature. Initially this temperature was approximated using spacecraft temperature data for the where Twall isthe surface temperature of the solar array. trajectory correction maneuvers (TCM's), and then was Equations 1and 2reveal the coupling of the thermal updated using data from the first few orbit drag passes. analysis to the flight mechanics, aerodynamics and atmospheric analysis. These calculations provided an Steady state temperatures were calculated for the solar accurate representation of the aerodynamic heating as array in the vacuum phase prior to the start of the drag well as reflected heating that was a function of time as pass. As the spacecraft began to stow the solar array well as position onthe solar array. and slew into the aerobrake configuration, atransient analysis was made to obtain the initial temperatures at The temperatures for the solar array were calculated the start of the drag pass. The temperatures obtained with the commercially available software prior to the drag pass were primarily dependent onthe MSC/PATRAN Thermal. s Like the Thermal Desktop orbital heat rates and view factors calculated from model, the PATRAN Thermal model was developed Thermal Desktop, but most significantly, they were solely using engineering drawings. 6 The model influenced by the fact that the spacecraft passed into represented allthree solar panels, and included both solar occultation and was shaded by Mars onaverage, facesheet layers, the aluminum honeycomb core, the for about 4minutes before the drag pass began. This Kapton, the MLI, and one layer for the solar cells. The reduced the initial temperatures and, allowed the solar solar cell layer included the cover glass, wire, solder, array to absorb more energy and therefore increased the 4 American Institute of Aeronautics and Astronautics margibnetweethneflighttemperatuarensdthethermal thermal analysis. Despite the tight operations schedule, limits.Finallyd,uringthedragpassa,transient the analysis generated alarge quantity of information analyswisasperformetoddetermitnheetemperatures, about the thermal state of the solar array. Figure 5 wherteheaerodynamheicatinwgasdominant. shows the predicted temperature distribution for orbit Temperatpurreedictiownseremadperiortoeachdrag pass 40,just after periapsis, which istypical of the pasasndtemperatuwreesrecalculateudsingactual majority of the drag passes encountered. This spacecrtaefltemettroyreconstrupcatsotrbits. temperature distribution was calculated using a predicted density, and velocity profile, and assumed a Amorecompledteiscussioonnthethermaalnalysis nominal orientation relative to the atmosphere. Figure andthemethodolougsyedontheMarsOdyssesyolar 6shows the predicted temperature of the thermocouples arraycanbefoundinarelatepdublication. 9 and the predicted heat rate as a function of time centered onperiapsis. A similar transient plot was generated for each material, where the maximum DRAG PASS AND TEMPERATURE predicted temperature for any location on that material istracked. Figure 7shows the maximum material PREDICTIONS temperatures as a function of time. The initial goal of the thermal analysis was to provide an independent validation and verification of the analysis already being performed onthe solar array. The high fidelity nature of this 3-dimensional analysis, and the speed at which analysis results could be produced, were compelling evidence to include this analysis in the trajectory decision making process during aerobraking operations. The timeline for spacecraft maneuver decisions dictated the turnaround time for analysis. Each day the drag pass temperature predictions aswell as any reconstructed temperatures had to be completed by 12 noon eastern standard time. For the analysis to be useful during operations and be included in the Aerobraking Planning Group's (APG) maneuver Figure 5. Predicted temperature distribution on the decision-making process, ithad to be generated solar array Nr orbit pass 40. efficiently. Utilizing a 1.7Ghz dual XEON processor computer made itpossible forthis highly detailed finite element analysis torun in about one hour. As the mission progressed, the duration of each drag pass increased. This caused the analysis run times to increase slightly but never caused them to exceed 1 hour 15minutes. Computer speed alone was not the only means of increasing efficiency. The spacecraft's configuration in the vacuum phase was always the same so vacuum phase temperatures remained virtually constant. Also, the occultation duration changed very slowly, causing the initial temperatures to change ata slow, predictable rate. Therefore, to increase analysis efficiency, the view factor, orbital heating, and vacuum phase temperature analyses were performed onan as- needed basis. Figure 6. Thermocouple temperature predictions, The thermal analysis was highly dependent on all of the orbit pass 040, peak heat flux = 0.232 W/cm 2. other analyses being performed. The thermal analysis This plot differs slightly from the plot of the took the longest to run and was always the last tobe thermocouple temperatures. The obvious difference is completed. Any problems arising within another thatthe maximum material temperatures are group's analysis caused delays in the completion of the significantly higher than the predicted thermocouple 5 American Institute of Aeronautics and Astronautics temperaturIensth.ecaseoftheM55Jgraphitwe,hich Although the uncertainties inthe density predictions wasexposetodtheflow,thefiguresshowthatthepeak were present, they did not impact the prediction ofthe temperatuwraes85°Chighetrhanthepeakoneitheorf thermal limit lines, which turned out to be avery useful thefaceshetheetrmocoupTle1sa,ndT4. tool. The flight corridor for main phase aerobraking was chosen based onthe maximum Q dot, which was the value of the aerodynamic heating that would cause the solar array to exceed its flight allowable temperature limit for the structure of 175°C. The upper flight corridor was reduced by a factor of 2to carry 100% margin with respect to the limit. Figure 8is a plot of the maximum solar array temperature as a / function of Q dot, covering orbit passes 77 through 99. This plot was updated on aweekly basis by running the PATRAN thermal model with varying density and hence heating profiles. Four different density profiles were used: the low, middle, and upper ends of the flight j,*' % corridor, as well as one that which would produce a -250 -200 -150 -100 -50 0 5O 100 150 200 25O maximum Q dot of 0.8 W/cm 2. A Q dot of 0.8 W/cm 2 Time (s) was chosen as the upper bounding case because it Figure 7. Maximum predicted material guaranteed the solar array prediction would exceed the temperatures, orbit pass 040, peak heat flux = 0.232 flight allowable temperature of 175°C. By using a W/cm 2. predicted Q dot, or one derived from flight data, the JPL Navigation team could quickly determine the This was aresult of having MLI covering the facesheet maximum predicted temperature ofthe solar array. inthe areas near those thermocouples. The MLI provided sufficient shielding to the underlying material 200 from the incident heat flux to prevent the material in 190 1_0 those regions from reaching higher temperatures. 170 160 Throughout the main phase of aerobraking, the 160 magnitude of the temperature difference between the 140 130 material maximum and the thermocouple maximum G 120 0_110 was dependent on the heat flux, and the difference grew 100 as the magnitude ofthe heat flux grew. The material _o maximum was always higher than what the 7O 60 thermocouples indicated and was always located inthe 60 4O lower, outboard quadrant of the +X panel. Another SO minor difference between the thermocouple and 2O 10 maximum material plots is due to the fact that the location of the maximum material temperature changed throughout the pass. In Figure 7where there seem to be Figure 8. Temperature as afunction of Q dot and discontinuities and the temperature seems tojump, the orbit pass. the maximum temperature shifts to another node in that particular material layer. Determining the thermal limit of the solar array in terms ofthe Q dot was obtained simply by finding the In Figures 6and 7,the heat rate isrepresented by a value of Q dot that corresponded to 175°C. As the smooth gaussian like profile. The heating is directly mission progressed the correlation of the thermal model proportional tothe atmospheric density; the density to flight data improved significantly. Since the thermal predictions, which came from an Odyssey version of model was updated continuously based onthe Mars GRAM 2000, donot account for atmospheric correlations, confidence in the limit line chart increased density variations and thus have an average density dramatically. In figure 8there are two limit lines: one profile as a function of altitude. Large uncertainties in is alimit line based onthe NASA Langley 3- predicting the atmospheric density from orbit to orbit dimensional finite element thermal model, and the other made the temperature predictions less valuable than isthe limit line calculated by Lockheed Martin's 1- expected, but they were still useful in that they gave a dimensional model of the solar array. The Lockheed 3-dimensional picture of the thermal state ofthe array, limit line was more conservative and as such was used and could identify any thermal anomalies. as the flight maximum. 6 American Institute of Aeronautics and Astronautics TEMPERATURE CORRELATIONS TO model's peak temperature overshoots the flight data, FLIGHT DATA providing a more conservative estimate. Third, the facesheet thermocouples inthe model cooled down at a slower rate than the flight data. Finally, there was an For each orbit pass, the solar array temperatures were initial temperature offset between the flight data and the reconstructed using telemetry from the spacecraft. thermal model. Comparing the temperatures calculated using the flight data with the spacecraft thermocouple data provided a means with which the thermal model's accuracy could -_-T1 facesheet X T2cellX be assessed. Moreover, since the thermal analysis was -+-T3 cellCenter _e--T4facesheet +> highly dependent onthe other analysis being r T5cell+X performed, the thermal model correlations could also be used to give an overall assessment of the aerobraking analysis process and assess the accuracy of the other analysis models. The required inputs for the thermal reconstructions came largely from accelerometer data transmitted from the spacecraft. Once the data was in hand, the NASA -210 -160 -110 -60 -10 4O 9O 140 190 24O Langley accelerometer team processed the data and Time (s) obtained the atmospheric density and flight velocity. Figure 9. Reconstructed temperatures, orbit pass The aerodynamic heating was then calculated the same 106, using the initial uncorrelated thermal model. way as inthe predictions, with the only difference being that the density and velocity profiles used were "real" The timing difference between the flight data and the instead ofpredicted. Vectors to the Sun and to Mars model was affected by the way the thermocouples were could also be obtained from this data and were used in represented in the thermal model. The thermal model the orbital heating component of the analysis. The time was created using only drawings ofthe solar array, ofperiapsis could also be determined from the data and without detailed manufacturing knowledge. The exact was used as the reference time for the plots. mass of each thermocouple, as well as the amount of adhesive used tobond them to the solar array, was For illustration purposes in this paper, orbit 106 is unknown. These parameters had tobe approximated. shown at various stages in the correlation process. In the thermal model these are simulated by a contact Orbit 106was chosen because it was the orbit which resistance to represent the bonded connection between had the highest atmospheric density and hence the the thermocouples and the array; and the density and highest heat rate. The Q dot for orbit 106 peaked at cross-sectional area ofthe thermocouple bar element to 0.544 W/cm 2and the solar array reached a maximum simulate the mass. The mass of the thermocouple temperature of 136°C. Orbit 106 was reconstructed affects the speed with which it reacts totemperature using the thermal model that was available at the changes and to some extent the peak temperature that it beginning of aerobraking, the model that was current at attains. The contact resistance affects the temperature the time orbit 106 was made, and with the final difference between the bar element and material layer it correlated model. At the beginning of aerobraking is connected to, and thus affects the peak temperatures operations, the only data available was from the reached. TCM's. This data was used as a starting point in correlating the model, but since the thermal Looking back at Figure 5,the highest temperatures in environments were drastically different, it was not the panel occur onthe facesheet side, but directly sufficient to allow full correlation of the model. Thus, behind these high temperature areas are the solar cell the correlations for the first few aerobraking passes did side thermocouples. In the model, too much heat from not match the flight data very well. Figure 9shows a the facesheet side was being transferred to the solar cell transient plot of the flight thermocouple temperatures side and down the "wings" to the areas near the and the reconstructed thermocouple temperatures for facesheet thermocouples. Differences in the peak orbit pass 106. temperature magnitudes were primarily affected by two factors. The first was not including the reflected heat Looking at the plot, several statements can be made calculation initially, and second was the through panel about the initial thermal model. First is that the time to conductance. Early on when the heat fluxes were still reach the peak temperature in the thermal model lagged low, it was believed that the contribution of the the flight thermocouple data. Second, the thermal reflected heat was insignificant, but this did not prove 7 American Institute of Aeronautics and Astronautics tobethecaseI.ncludintghereflectehdearteducethde flight article was impeding the heat flow to those facesheseidtetemperatuarnedreducethdeamounotf thermocouples. There were three possible explanations. heattransferrteodthesolacrellsideanddowntothe One was that since in the wing region the facesheet and wingswherTe1andT4arelocatedA.lsos,light aluminum honeycomb core are very narrow, there may adjustmetnottshethrougphaneclonductanwceere have been amanufacturing flaw, or discontinuity in the madteohelpalleviatseomeofthistransferrheedaats material disrupting the heat flow, whereas in the well.Themidpanethl ermocoupTl3e,,wasnot thermal model each material layer was continuous. exposetodtheaerodynamheicatinagndthusits Second, during thermocouple installation, the temperatudridenotchangmeuchA. sidefromthe thermocouples may not have been placed in exactly the initiatlemperatudriefferencitewasingoodagreement same location as indicated in the drawings. In the withtheflightdataT. hefactthatT3matchewdell thermal model, the thermocouples were placed as indicatethdatthethrougthhethicknescsonductance indicated onthe drawings, this would definitely cause wasconsistewnitththeflightarticles,oadjustmetnots some disparity. Finally, in refining the model details, it theconductanocftehepanelwsasminimalI.twasnot was discovered that there was up to 6.35mm of altogethienrtuitiveb,utthecoodl ownperformanocfe syntactic foam packed around the edges of the thefaceshetheetrmocoupwleassaffectebdythe aluminum honeycomb core in some regions. Syntactic assumveadlueoftheeffectiveemissivi(ty_*b)etween foam has avery low conductivity and would impede theMLIandtheM55JfacesheWet.hilethea*hadits heat flow in the regions where it was present. Figure 11 greateesftfecotnthefaceshetheetrmocoupTle1sa,nd shows the wing region of the +X solar panel without T4,italsohadaslighitmpacotnthecellside the Kapton layer. To simulate the effects of the thermocoupTle2asndT5.Initiallyi,ntheabsencoef syntactic foam, the thermal conductivity of the nodes in anytesdt atath, eeffectiveemissiviwtyas the affected areas in the M55J facesheet and aluminum conservativcehlyoseans0.1.Afterexamininthge honeycomb core material were reduced and the density flightdataandrunninsgevercaalsevsaryintghe increased. These modifications were based onthe effectiveemissivitayn,a*of0.05wasfoundtobest simple rule of mixtures. Modifying the thermal matcthhecoodl own. conductivity and density in this way was done to expedite the inclusion ofthe syntactic foam and avoid Usingdatafromorbits005throug0h20a,suitable addition of new solid geometry and additional finite correlatiofonrthethermocoumplaesasndcontact element meshing in the model. resistanwceasfoundA. lsot,hecalculatiofonrthe reflectehdeawt asincludeadndthevaluefor_*was Atthis point the initial temperature error was still updatedF.igure10showosrbipt ass106withthese present. For the initial temperature error to be correlatioanpsplied. corrected, a temperature correlation in the vacuum phase up tothe start of the drag pass was required. To accomplish this, a correlation coupling the Thermal G 60 ._0i..........i.............:.............. ..... -210 -160 dl0 _0 -10 40 90 140 190 240 Time (s) Figure 10. Reconstructed temperatures, orbit pass 106, using the partially correlated thermal model. At this point in the correlation, the timing difference was minimized, the peak temperature overshoot was Figure 11. Close up view of+X panel wing region. reduced, and the cool down performance had shown Desktop model and the PATRAN thermal model had to improvement. The cool down performance and the be developed. There were three main adjustments overshoot for T1 and T4 did improve but they were still made to correlate the initial temperatures. First was the at unacceptable levels. It was as if something inthe temperature assumed for the spacecraft in the PATRAN 8 American Institute of Aeronautics and Astronautics modelM. akinagdjustmetnottshespacecraft Locally, there is less mass, and most significantly, temperatuarlseohadasignificainmtpacotnthecool lower solar absorptivity. Lower solar absorptivity in downrateforeachofthethermocouplTehse.second these local regions would reduce the amount of solar andthirdadjustmewntesreintheThermaDlesktop and planetary heat flux and thus reduce the temperature modelI.ntheThermDalesktompodethl esolaarrrayis in these regions as observed in the flight data. The represenbteyd2-dimensiosnuarlfacewsithtwoactive difference in local absorptivity was not modeled, but sidesI.nitiallyitwasfeltthatanysolaorrplanetary for future missions certainly should be. fluxthatwasincidenintthethirddimensioonr,edge on,wouldbeinsignificanTth.isturnedouttobeabad As mentioned previously, Odyssey encountered the assumptiaosntherewasasignificaanmt ounotffluxon highest density of the mission on orbit pass 106, and theinsideedgeofthewingregionnseaTr 1andT4. hence this was the orbit pass with the largest Initiallyt,osimplifytheorbitahleaftluxcalculations aerodynamic heat flux. The higher heat flux andreducreuntimes,pecularwityasnotincluded. intensified the effect of not including the local Howeveinr,ordetroincreastheefidelityofthe differences in solar heat flux. Looking at only orbit 106 calculatiointsw,asincludedIn.cludintghespecularity can be deceiving because the differences between the provetdobethemissineglemeninttheThermal flight data and the thermal model are maximized in Desktompodealndhadthegreateismtpacotnthe general, the differences throughout the mission were initiatlemperatucroerrelatioTn.hesaedjustmeansts not this great. Table 1summarizes the average wellastheadjustmemntasdeincorrelatintogthedrag differences inpeak temperatures for each thermocouple pasdsatawereincludeidnthemodel. at three different points during the main phase of aerobraking and gives the overall mission average. Figure12showosrbipt ass106withallofthe Taking a closer look at the temperatures over the entire correlatioandjustmeanptspliedT.hemidpanel drag pass, a root mean squared (RMS) average for each thermocoupTl3e,,matchethseflightdataexactlyT.he thermocouple over the duration of the drag pass was differencbeetweethnefaceshetheetrmocoup(Tle1s& computed. T4)andtheflightdatawasreducetodlessthan10°C fortheduratioonfthedragpassT. heriesstillsome Table 1. Summary of peak temperature difference overshoeortrobretweethnecellsidethermocoupTle2s, between the flight data and thermal model andT5.T3matchinthgeflightdataaswellasitdoeiss Average Peak Temperature Difference (°C) anindicatiotnhatoveraltlh,ethrougphanel Orbits Orbits Orbits Mission conductanwcaescorrelatveedrywell.Howevethr,e Sensor locaclonductannceeatrhecellsidethermocoupTle2s 005-019 020-095 096-225 Average T1 4.1 3.1 2.1 2.90 andT5mayhavebeenslightlydifferenTt.hesolacrell sidewasmodeleadsasinglec,ontinuoluasyeorf T2 3.2 1.7 4.6 2.97 material. T3 0.1 0.2 0.2 0.16 T4 3.8 3.6 3.3 3.47 60.......................................m............ ............................................................................ T5 6.5 6.9 9.2 7.53 --T1 Flight _-T1 facesheet × Table 2 shows the RMS average for each thermocouple at three points during the main phase of aerobraking. Table 2. Summary of RMS temperature differences •..........i...........b.e.tween the flight data and thermal model RMS Temperature Difference (°C) Orbits Orbits Orbits Mission Sensor 005 - 019 020 - 095 096 -225 Average -8° I ...............i....................,....... , ..... T1 7.2 6.2 4.3 5.90 -210 -180 410 _0 -10 40 _0 140 1_0 240 T2 4.6 4.1 5.4 4.70 Time (s) T3 2.0 3.1 1.9 2.33 Figure 12. Recontructed temperatures, orbit pass T4 6.9 6.5 5.6 6.33 106, using the best correlated thermal model. T5 3.9 3.7 5.7 4.43 In reality, the solar array has wires, solder, and some The RMS average provides a somewhat better means spots where there are no solar cells. The thermocouples with which to assess how close the model was coming T2 and T5 are in regions that do not contain any solar tothe flight data for the duration of each drag pass and cells, so they are mounted directly to the Kapton layer. 9 American Institute of Aeronautics and Astronautics

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