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

IF 3.5 3区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Astrobiology Pub Date : 2023-11-01 Epub Date: 2022-12-19 DOI:10.1089/ast.2021.0071
Marc S Boxberg, Qian Chen, Ana-Catalina Plesa, Julia Kowalski
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引用次数: 2

Abstract

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.

冰冻机器人在地球和木卫二冰下访问任务中的冰传输和性能分析。
冰覆盖的海洋世界,如木星的卫星木卫二,是行星探索的主要目标,因为它们具有很高的天体生物学潜力。虽然即将到来的太空探索任务,如欧罗巴快船和JUICE任务,将使我们进一步了解当地的低温环境,但任何结结性的生命探测调查都需要有穿透和穿越冰壳并直接进入冰下海洋的能力。为这样的任务开发强大的、自主的冷冻机器人技术构成了一个极其苛刻的多利益相关者挑战,需要工程师、地球科学家和天体生物学家之间集中的跨学科努力。在任务准备的早期阶段促进跨学科工作的一个重要工具是虚拟试验台。在本文中,我们报告了冰传输和性能模型开发的最新进展,以便稍后集成到这样一个虚拟测试平台中。我们首次引入了一个轨迹模型,该模型允许评估关键任务参数,如传输时间和平均/总电源。我们的工作流程应用于选定的现有低温机器人设计,同时考虑到不同的地面和地外部署场景。本研究中提出的具体分析显示了低温机器人的最小传输时间和最大效率的权衡,并允许对低温机器人轨迹模型的不同不确定性来源进行量化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Astrobiology
Astrobiology 生物-地球科学综合
CiteScore
7.70
自引率
11.90%
发文量
100
审稿时长
3 months
期刊介绍: Astrobiology is the most-cited peer-reviewed journal dedicated to the understanding of life''s origin, evolution, and distribution in the universe, with a focus on new findings and discoveries from interplanetary exploration and laboratory research. Astrobiology coverage includes: Astrophysics; Astropaleontology; Astroplanets; Bioastronomy; Cosmochemistry; Ecogenomics; Exobiology; Extremophiles; Geomicrobiology; Gravitational biology; Life detection technology; Meteoritics; Planetary geoscience; Planetary protection; Prebiotic chemistry; Space exploration technology; Terraforming
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