M
Michael J. Wright
Researcher at Ames Research Center
Publications - 68
Citations - 2460
Michael J. Wright is an academic researcher from Ames Research Center. The author has contributed to research in topics: Mars Exploration Program & Aeroshell. The author has an hindex of 27, co-authored 68 publications receiving 2260 citations.
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Journal ArticleDOI
Recommended Collision Integrals for Transport Property Computations Part 1: Air Species
TL;DR: In this article, the best available data for calculating a complete set of binary collision integral data for the computation of the mixture transport properties (viscosity, thermal conductivity, and ordinary and thermal diffusion) of 13-species weakly ionized air is presented.
Journal ArticleDOI
Recommended Collision Integrals for Transport Property Computations Part 2: Mars and Venus Entries
TL;DR: A review of the best available data for calculating a complete set of binary collision integrals for the computation of the mixture transport properties (viscosity, thermal conductivity, ordinary and thermal diffusion) of 17-species weakly ionized CO 2 -N 2 mixtures is presented in this paper.
Journal ArticleDOI
Uncertainty Analysis of Laminar Aeroheating Predictions for Mars Entries
TL;DR: In this article, a Monte Carlo sensitivity and uncertainty analysis is performed for a laminar convective heating prediction in a moderate Mars atmospheric entry condition using a nonequilibrium reacting Navier-Stokes computational fluid dynamics code.
Proceedings ArticleDOI
Aerothermodynamic Design of the Mars Science Laboratory Heatshield
TL;DR: Aerothermodynamic design environments for the Mars Science Laboratory entry capsule heatshield were presented in this paper, and the effects of distributed surface roughness on turbulent heat flux and shear stress peaks were included using empirical correlations.
Proceedings ArticleDOI
A Review of Aerothermal Modeling for Mars Entry Missions
TL;DR: In this paper, the current status of aerothermal analysis for Mars entry missions is reviewed, and the physical models employed to predict these phenomena are reviewed and key uncertainties or deficiencies inherent in these models are explored.