a low-fidelity tool for aero-thermal and re-entry analyses
TRANSCRIPT
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A Low-Fidelity Tool for Aero-Thermal and Re-entry Analyses
4th International Workshop on Space Debris Re-entry
Alessandro Falchi*Edmondo MinisciMassimiliano Vasile
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OUTLINE
• Core module Introduction
• Previously studied cases
• Block Diagram description
• Mock satellite test case
• Conclusions and future works
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
A Low-Fidelity Tool for Aero-Thermal and Re-entry Analyses
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Introduction: FOSTRAD
• Basic Aerodynamics Module
Based on the Local Panel Inclination Method
Continuum: Modified Newtonian Theory
Free Molecular: Schaaf and Chambre
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FOSTRAD Aerodynamics• Based on two graphical rendering techniques: Back-face culling Occlusion culling
• DSMC-based corrective factors[1]
For different object classes
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3U CubeSat – Solid 3D model
A ≈2.1m2
[1] Falchi, A., Minisci, E., Vasile, M., Rastelli, D., and Bellini, N. (2017b). Dsmc-based correction factor for low-fidelityhypersonic aerodynamics of re-entering objects and space debris. EUCASS 2017
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FOSTRAD Aerodynamics[1]
6[1] Falchi, A., Minisci, E., Vasile, M., Rastelli, D., and Bellini, N. (2017b). Dsmc-based correction factor for low-fidelityhypersonic aerodynamics of re-entering objects and space debris. EUCASS 2017
Stable Attitude: ±10deg
CubeSat: Deployed Drag SailGOCE Re-entry Aerodynamics
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FOSTRAD Aerothermodynamics[2]
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Heat flux: Local Radius Formulation
Standard Local Panel Inclination FOSTRAD with Local Radius Formulation
[2] Falchi, A., Renato, V., Minisci, E. and Vasile, M., 2017. FOSTRAD: An Advanced Open Source Tool for Re-entry Analysis. Reinventing Space Conference, Glasgow 2017
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Uncontrolled Space Debris Re-entry
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Technical changes required by:1. Importance of uncontrolled attitude dynamics2. Significant ablation/recession velocity3. Different object classes (shells/thin geom.)4. Different accuracies required in different
phases5. Various materials ablation models
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal- 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
1. Uncontrolled attitude dynamics
The capability to distinguish a stable from an unstable/tumbling attitude
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
2. Significant ablation/recession velocity
The entire problem is solved with a RK4 method
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
3. Different object classes (shells/thin geom.)
Different recession modes for each class
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
4. Different accuracies required in different phases
Switching on/off different modules depending on the real-time re-entry conditions
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
5. Various materials ablation models
Each material has its own S.M. or ablation computational block
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FOSTRAD- Aerodynamics- Aero-thermal
Trajectory3DOF || 6DOF
Atmosphere- MISESE00 - US 1976
Uncertainty Quantification
ODE Solver:Fixed/variable time step
Materials- Metallic- Ablative- Composites- Ceramics
Object Classes:- Thin plates- Shells- Eq. Bodies
Ablation/thermal - 1D (ODE)- 1D (S.M.)
Break-up Module
Ablation S.M. generator
Voxelator:- Mass Distr.- Inertia Tensor
Example: Stardust SRC 6DOF case
Example For the Software Modularity:Active Modules
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Video
VIDEO
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Ablation and Material module
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Thermal/ablation module:• Convective, conductive, radiative (ext. cooling)• 1D multi-layer Runge-Kutta 4th order[3]
• 1D multi-layer Surrogate Model (conservative)
Recession computation:• Vertex-to-barycenter recession (ODE or S.M.)• Vertex-to-Normal recession (ODE or S.M.)• Aspect Ratio-based recession (ODE or S.M.)
[3] Renato, V., Scanlon, T. and Brown, R., 2017, June. Multi-dimensional ablation and thermal response program for re-entry analysis. In 31st International Symposium on Space Technology and Science (ISTS).
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Trajectory and Atmosphere
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Trajectory propagation:• 6DOF propagation before the break-up• 3DOF propagation[4] (random tumbling phase)
Atmospheric model:• U.S. 1976 standard• MSISE-00 • User-Defined Atmospheric model
[4] Toso, F. and Maddock, C., 2017. Return and abort trajectory optimisation for reusable launch vehicles. In 21st AIAA International Space Planes and Hypersonics Technologies Conference (p. 2250).
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Materials and Ablations models
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Temperature dependant properties (metals):• Heat capacity• Emissivity (oxidation)• Conductivity
Currently studied materials:• High-fidelity homogenized S.M. • Ceramic composites• Short/long fiber composites[5] (COPV)
[5] Giugliano, D., Barbera, D. and Chen, H., 2017. Effect of fiber cross section geometry on cyclic plastic behavior of continuous fiber reinforced aluminum matrix composites. European Journal of Mechanics-A/Solids, 61, pp.35-46.
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Uncontrolled Re-entry Benchmark
Pressure Vessels
Internal components
Solar Panels
Main Structure
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Uncontrolled Re-entry Benchmark
Video
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Uncontrolled Re-entry Benchmark
Ablation begins at the corner
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Uncontrolled Re-entry Benchmark
Ablation begins at the corner
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Uncontrolled Re-entry Benchmark
Ablation begins at the corner
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Uncontrolled Re-entry Benchmark
Internal components exposed to aero-thermal heating
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Uncontrolled Re-entry Benchmark
Temperature significantly increases
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Uncontrolled Re-entry Benchmark
Melting temperature
Sides totally ablated
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Sensitivity Analysis: flight path angle
Fixed breakup altitude: 78km
Simulation stopped at35km or t = 260s
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Conclusions
• FOSTRAD modules successfully implemented in a re-entry break-up framework
• Preliminary analyses of a single break-up mode• Preliminary evaluation of S.M. use for ablation est.• Occlusion culling for detecting internal components• Flexible modular structure (controlled/uncontrolled
re-entry)
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• Integration of progressive break-ups • Integration of HF micro scale-based ablation S.M.
for composite and ceramic materials• Complete the testing of the UQ module
Future Work