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ASIM Thermal Mathematical Model

ASIM Thermal Mathematical Model . Part of WP 30-500 – ASIM Structural and Thermal Analysis. MTR-meeting 13-06-2008. WP 30.500 – Thermal Part at MTR. Aim: Compile all the, up to date, requirements and inputs. Understand the thermal conditions of the payload.

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ASIM Thermal Mathematical Model

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  1. ASIMThermal Mathematical Model Part of WP 30-500 – ASIM Structural and Thermal Analysis. MTR-meeting 13-06-2008

  2. WP 30.500 – Thermal Part at MTR. Aim: • Compile all the, up to date, requirements and inputs. • Understand the thermal conditions of the payload. • Based on the understanding of thermal conditions propose the first approximation of thermal design. • Check this proposed design for the different thermal conditions in order to show the hurdles and limitations • Come with recommendations for the next phase design. • Extract the thermal parameters necessary for the evaluation of the particular designs ASIM TM4 TERMA | 31 January 2008 side 2

  3. ASIM Thermal Mathematical Model – Input compilation Mass budgets: ASIM TM4 TERMA | 31 January 2008 side 3

  4. ASIM Thermal Mathematical Model – Input compilation Power: ASIM TM4 TERMA | 31 January 2008 side 4

  5. ASIMThermal Mathematical Model – Input compilationTemperature Requirements • [RD1] ASIM-TER-MMIA-REQ-003, Rev: 1 draft A ASIM MMIA Camera Head Unit Requirements Specification • [RD2] ASIM-TER-MMIA-REQ-005, Rev: 1 draft A ASIM MMIA DPU Requirement Spec. • [RD3] ASIM-TER-MMIA-REQ-004, Rev: 1 draft A ASIM MMIA Photometer Requirement Spec. ASIM TM4 TERMA | 31 January 2008 side 5

  6. ASIMThermal Mathematical Model – Input compilat.Operational Modes ASIM TM4 TERMA | 31 January 2008 side 6

  7. ASIMThermal Mathematical Model – Input compilationTransportation Modes ASIM TM4 TERMA | 31 January 2008 side 7

  8. ASIMThermal Mathematical Model – AnalysisThermal Environment ASIM TM4 TERMA | 31 January 2008 side 8

  9. ASIMThermal Mathematical Model – AnalysisThermal Environment- Cold Case ASIM TM4 TERMA | 31 January 2008 side 9

  10. ASIM Thermal Mathematical Model – Input compilationThermal Environment- Hot Case ASIM TM4 TERMA | 31 January 2008 side 10

  11. ASIM Thermal Mathematical Model – AnalysisThermal Environment- Mean Case ASIM TM4 TERMA | 31 January 2008 side 11

  12. ASIM Thermal Mathematical Model – AnalysisThermal Environment- Case β=±37.5º ASIM TM4 TERMA | 31 January 2008 side 12

  13. ASIMThermal Mathematical Model – Model Build-upRadiator Concept – Proposal #1. ASIM TM4 TERMA | 31 January 2008 side 13

  14. ASIMThermal Mathematical Model – Model Build-upTMM – 1-st Approximation. ASIM TM4 TERMA | 31 January 2008 side 14

  15. ASIMThermal Mathematical Model – Model Build-upTMM – ASIM Part FEM Mesh FEM model of ASIM build up of 2724 nodes and 2465 elements (mainly thin shell linear quadri-lateral elements and 12 beam elements) ASIM TM4 TERMA | 31 January 2008 side 15

  16. ASIMThermal Mathematical Model – Model Build-up.Internal Radiation Enclosure Internal Radiation enclosure comprising DPU, PDU, MXGS housing & collimator as well as the part of the one of the LIMB MMIAs surrounded by the radiators and MLI. ASIM TM4 TERMA | 31 January 2008 side 16

  17. ASIMThermal Mathematical Model – Model Build-upTherm.- Boundary Conditions and - Couplings, Radiation and Orbit Modeling. ASIM TM4 TERMA | 31 January 2008 side 17

  18. ASIM Thermal Mathematical Model – Model Build-upMaterial and Physical Properties ASIM TM4 TERMA | 31 January 2008 side 18

  19. ASIM Thermal Mathematical Model – Run and Run ControlView Factor Sums ASIM TM4 TERMA | 31 January 2008 side 19

  20. ASIM Thermal Mathematical Model – Run and Run ControlSolar View Factor – Cold Case ASIM TM4 TERMA | 31 January 2008 side 20

  21. ASIM Thermal Mathematical Model – Run and Run ControlEarth View Factor – Cold Case ASIM TM4 TERMA | 31 January 2008 side 21

  22. ASIM Thermal Mathematical Model – Run and Run ControlDifferent Factors – Cold Case ASIM TM4 TERMA | 31 January 2008 side 22

  23. ASIM Thermal Mathematical Model – ResultsMXGS- Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 23

  24. ASIM Thermal Mathematical Model – ResultsMXGS- Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 24

  25. ASIM Thermal Mathematical Model – ResultsMMIA#1 – Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 25

  26. ASIM Thermal Mathematical Model – Model Build-upMMIA#2 – Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 26

  27. ASIM Thermal Mathematical Model – ResultsMMIA#3 – Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 27

  28. ASIM Thermal Mathematical Model – ResultsDPU and PDU- Max. Min. and Avg. Temperatures ASIM TM4 TERMA | 31 January 2008 side 28

  29. ASIM Thermal Mathematical Model – ResultsRAM, WAKE and ZENITH Radiators Temperatures ASIM TM4 TERMA | 31 January 2008 side 29

  30. ASIM Thermal Mathematical Model - Conclusion The first approximation ASIM TMM, presented here for the MTR, shows that it should be possible to design simple thermal system, without the louvers and other sophisticated solutions, able to dissipate the power of normal operational modes, while satisfying the most of the temperature requirements of the payload. MMIA interval of [-10ºC; +10ºC] defined as min. operational to optimal operational temp., should be revised or it should be accepted that during the exceptional thermal conditions this interval could be temporarily overstepped. The same goes for MXGS’ DFEE where the optimal operational interval of [-16ºC; +15ºC] could be overstepped for special non-normal operational modes. With all the instruments constantly ON, dissipating its full power, the optimal operational temperature requirements are not fulfilled during almost all the orbits with the tested design, optical material properties and thermal couplings. Further modeling work is required to address the number of questions not analyzed yet or the one this TMM have shown to be critical. The mission scenario needs also to give the modeling work input on the number of questions, e.g. power dissipation during aurora and earth observation modes or during non-nominal ISS’ pointing. ASIM TM4 TERMA | 31 January 2008 side 30

  31. ASIM Thermal Mathematical Model – ResultsTemperature Distribution- Hot Case ASIM TM4 TERMA | 31 January 2008 side 31

  32. ASIM Thermal Mathematical Model – Results ASIM TM4 TERMA | 31 January 2008 side 32

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