Ice Transit and Performance Analysis for Cryorobotic Subglacial Access Missions on Earth and Europa.

Cryobot technology Europa Performance and trajectory model Terrestrial analogues Thermal melting probe Virtual testbed

Journal

Astrobiology
ISSN: 1557-8070
Titre abrégé: Astrobiology
Pays: United States
ID NLM: 101088083

Informations de publication

Date de publication:
11 2023
Historique:
medline: 15 11 2023
pubmed: 29 12 2022
entrez: 28 12 2022
Statut: ppublish

Résumé

Ice-covered ocean worlds, such as the Jovian moon Europa, are some of the prime targets for planetary exploration due to their high astrobiological potential. While upcoming space exploration missions, such as the Europa Clipper and JUICE missions, will give us further insight into the local cryoenvironment, any conclusive life detection investigation requires the capability to penetrate and transit the icy shell and access the subglacial ocean directly. Developing robust, autonomous cryorobotic technology for such a mission constitutes an extremely demanding multistakeholder challenge and requires a concentrated interdisciplinary effort between engineers, geoscientists, and astrobiologists. An important tool with which to foster cross-disciplinary work at an early stage of mission preparation is the virtual testbed. In this article, we report on recent progress in the development of an ice transit and performance model for later integration in such a virtual testbed. We introduce a trajectory model that, for the first time, allows for the evaluation of mission-critical parameters, such as transit time and average/overall power supply. Our workflow is applied to selected, existing cryobot designs while taking into consideration different terrestrial, as well as extraterrestrial, deployment scenarios. Specific analyses presented in this study show the tradeoff minimum transit time and maximum efficiency of a cryobot and allow for quantification of different sources of uncertainty to cryobot's trajectory models.

Identifiants

pubmed: 36576448
doi: 10.1089/ast.2021.0071
doi:

Substances chimiques

Ice 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1135-1152

Auteurs

Marc S Boxberg (MS)

Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Aachen, Germany.
Computational Geoscience, Georg-August-Universität Göttingen, Göttingen, Germany.

Qian Chen (Q)

Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Aachen, Germany.

Ana-Catalina Plesa (AC)

Institute of Planetary Research, German Aerospace Center (DLR), Berlin, Germany.

Julia Kowalski (J)

Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Aachen, Germany.
Computational Geoscience, Georg-August-Universität Göttingen, Göttingen, Germany.

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Classifications MeSH