41st AIAA Thermophysics Conference 2009
DOI: 10.2514/6.2009-4075
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Aerothermodynamic Design of the Mars Science Laboratory Heatshield

Abstract: Aerothermodynamic design environments are presented for the Mars Science Laboratory entry capsule heatshield. The design conditions are based on Navier-Stokes flowfield simulations on shallow (maximum total heat load) and steep (maximum heat flux, shear stress, and pressure) entry trajectories from a 2009 launch. Boundary layer transition is expected prior to peak heat flux, a first for Mars entry, and the heatshield environments were defined for a fully-turbulent heat pulse. The effects of distributed surface… Show more

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Cited by 103 publications
(71 citation statements)
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“…A methodology to utilize MEADS data for reconstruction is described here. Edquist et al 21 and Mahzari et al…”
Section: B Mars Science Laboratorymentioning
confidence: 99%
“…A methodology to utilize MEADS data for reconstruction is described here. Edquist et al 21 and Mahzari et al…”
Section: B Mars Science Laboratorymentioning
confidence: 99%
“…[11 -16]. DPLR has also been previously applied to analyze the heating rates experienced by Mars entry vehicles both on the heatshield [17][18] and afterbody [19].…”
Section: Dplr Overviewmentioning
confidence: 99%
“…For the MSLbased high-mass Mars entry vehicle, the grids used by Edquist et al [18] for their MSL analysis were scaled up to a 15 m diameter and used as starting grids in this study. Only the heatshield was considered, and the surface grid is shown in Fig.…”
Section: Gridsmentioning
confidence: 99%
“…Therefore, the current strategy for future entry vehicle design is still to use RANS-based models for prediction and rely on a robust and comprehensive validation against trusted ground-based experiments. 2,3,8 As a result of the NESC initiative, recent detailed experimental data of flow separation and jet interaction associated with the MSL vehicle are now available for a rigorous CFD validation. 4 Validation is crucial, especially for RANS-type models, since they have difficulty in predicting turbulent flows with streamline curvature or flow separation.…”
Section: Introductionmentioning
confidence: 99%