TY  - CHAP
A1  - Dachwald, Bernd
A1  - Ulamec, Stephan
A1  - Kowalski, Julia
A1  - Boxberg, Marc S.
A1  - Baader, Fabian
A1  - Biele, Jens
A1  - Kömle, Norbert
ED  - Badescu, Viorel
ED  - Zacny, Kris
ED  - Bar-Cohen, Yoseph
T1  - Ice melting probes
T2  - Handbook of Space Resources
N2  - The exploration of icy environments in the solar system, such as the poles of Mars and the icy moons (a.k.a. ocean worlds), is a key aspect for understanding their astrobiological potential as well as for extraterrestrial resource inspection. On these worlds, ice melting probes are considered to be well suited for the robotic clean execution of such missions. In this chapter, we describe ice melting probes and their applications, the physics of ice melting and how the melting behavior can be modeled and simulated numerically, the challenges for ice melting, and the required key technologies to deal with those challenges. We also give an overview of existing ice melting probes and report some results and lessons learned from laboratory and field tests.
KW  - Ice melting probe
KW  - Ice penetration
KW  - Icy moons
KW  - Ocean worlds
KW  - Mars
Y1  - 2023
SN  - 978-3-030-97912-6 (Print)
SN  - 978-3-030-97913-3 (Online)
U6  - http://dx.doi.org/10.1007/978-3-030-97913-3_29
SP  - 955
EP  - 996
PB  - Springer
CY  - Cham
ER  - 
TY  - GEN
A1  - Feldmann, Marco
A1  - Francke, Gero
A1  - Espe, Clemes
A1  - Chen, Qian
A1  - Baader, Fabian
A1  - Boxberg, Marc S.
A1  - Sustrate, Anna-Marie
A1  - Kowalski, Julia
A1  - Dachwald, Bernd
T1  - Performance data of an ice-melting probe from field tests in two different ice environments
N2  - This dataset was acquired at field tests of the steerable ice-melting probe "EnEx-IceMole" (Dachwald et al., 2014). A field test in summer 2014 was used to test the melting probe's system, before the probe was shipped to Antarctica, where, in international cooperation with the MIDGE project, the objective of a sampling mission in the southern hemisphere summer 2014/2015 was to return a clean englacial sample from the subglacial brine reservoir supplying the Blood Falls at Taylor Glacier (Badgeley et al., 2017, German et al., 2021).

The standardized log-files generated by the IceMole during melting operation include more than 100 operational parameters, housekeeping information, and error states, which are reported to the base station in intervals of 4 s. Occasional packet loss in data transmission resulted in a sparse number of increased sampling intervals, which where compensated for by linear interpolation during post processing. The presented dataset is based on a subset of this data: The penetration distance is calculated based on the ice screw drive encoder signal, providing the rate of rotation, and the screw's thread pitch. The melting speed is calculated from the same data, assuming the rate of rotation to be constant over one sampling interval. The contact force is calculated from the longitudinal screw force, which es measured by strain gauges. The used heating power is calculated from binary states of all heating elements, which can only be either switched on or off. Temperatures are measured at each heating element and averaged for three zones (melting head, side-wall heaters and back-plate heaters).
KW  - Ocean Worlds
KW  - Icy Moons
KW  - Cryobot
KW  - Analogue Environments
KW  - Melting Efficiency
KW  - Melting Performance
KW  - Melting Probe
KW  - Ice Melting
Y1  - 2022
U6  - http://dx.doi.org/10.5281/zenodo.6094866
N1  - Forschungsdaten zu "Field-test performance of an ice-melting probe in a terrestrial analogue environment" (https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/10889)
ER  -