Thermal Modeling of Mars Ground for Surface Missions

Date

2017-07-16

Journal Title

Journal ISSN

Volume Title

Publisher

47th International Conference on Environmental Systems

Abstract

Thermal analysis packages are capable of including ground temperature effects for orbital and surface thermal analyses. In particular, Thermal Desktop offers the option of specifying ground temperatures as a function of time for planetary surface modeling. While suitable for many cases, this approach is not sufficient if an object has local interactions with the ground that could significantly affect the ground temperature. Ground modeling is necessary for the Mars 2020 thermal design and analysis since shadowing and heat dissipation from the rover’s Multi-Mission Radioisotope Thermoelectric Generator (MMRTG) can result in significant temperature deviations of the local ground. The Mars 2020 thermal team is explicitly modeling the Martian ground so that these local temperature effects can be captured. The upper portion of the ground is modeled, and material and optical properties of the ground are varied in order to match data collected from orbiting science instruments. Atmospheric surface temperature, sky temperatures, and solar loads from a Global Climate Model (GCM) are used as boundary conditions, resulting in a ground surface temperature profile consistent with the GCM prediction. The rover is then placed on this modeled ground so that the effects of shadowing and MMRTG dissipation on the ground temperature can be captured.

Description

Edgardo Farias, Jet Propulsion Laboratory, USA
Matthew Redmond, Jet Propulsion Laboratory, USA
Pradeep Bhandari, Jet Propulsion Laboratory, USA
Jason Kempenaar, Jet Propulsion Laboratory, USA
Keith Novak, Jet Propulsion Laboratory, USA
ICES102: Thermal Control for Planetary and Small Body Surface Missions
The 47th International Conference on Environmental Systems was held in South Carolina, USA on 16 July 2017 through 20 July 2017

Rights

Availability

Keywords

Mars ground, ground temperature, modeling

Citation