This work details the development of new stagnation-point aeroheating engineering correlations for Mars entry vehicles. Convective and radiative heating relations were formulated over a wide range of entry conditions. These relations were based on computational fluid dynamics simulations informed by recent experimental testing and modeling enhancements. For convective heating, a relation similar to those proposed in previous works was developed that is accurate to within ± 25 % across the domain of relevant Mars entry conditions. For radiative heating, two different functional forms were developed: exponential and polynomial relations. Each of these relations, which represents two different levels of complexity for implementation, were able to predict the radiative heating within about ± 25 % . The correlations were tested by applying them to the Mars Pathfinder entry trajectory to demonstrate their applicability. These new correlations provide significant improvement over existing relations in terms of the accuracy, the domain of applicability, and the captured physics, including CO 2 infrared radiation and thermochemical nonequilibrium.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Stagnation-Point Aeroheating Correlations for Mars Entry


    Contributors:

    Published in:

    Publication date :

    2020-01-21


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Correction: Stagnation-Point Aeroheating Correlations for Mars Entry

    West, Thomas K. / Brandis, Aaron M. | AIAA | 2024


    Updated Stagnation Point Aeroheating Correlations for Mars Entry

    West, Thomas K. / Brandis, Aaron M. | AIAA | 2018



    Updated Stagnation-Point Aeroheating Correlations for Mars Entry

    Thomas K West, IV / A M Brandis | NTRS | 2020


    Turbulent Aeroheating on the Mars Science Laboratory Entry Vehicle

    Bynum, Michael / Hollis, Brian / Xiao, X et al. | AIAA | 2007