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Título

Development of a wind retrieval method for low-speed low-pressure flows for ExoMars

AutorSoria-Salinas, Álvaro; Zorzano, María Paz CSIC ORCID ; Mantas Nakhai, Roberto; Martín-Torres, F. J.
Fecha de publicación5-nov-2020
EditorElsevier BV
CitaciónApplied Thermal Engineering 180: 115752 (2020)
ResumenForced convective heat transfer from three horizontally inclined rectangular-based cylinders (rods) has been studied experimentally under representative Martian near-surface air flows in the Aarhus Wind Tunnel Simulator (AWTS), Denmark. The testing campaign was developed for the HABIT (Habitability: Brines, Irradiation and Temperature) instrument, European payload on board the ExoMars 2022 Kazachok surface platform. The average heat transfer coefficient was determined from steady CO flows at a pressure of 9.9 mbar, an ambient temperature of ∼25 °C, and for horizontal free-stream velocities between 0.8 and 12 m/s. A retrieval algorithm to derive the wind speed from the average heat transfer coefficient estimated at each of the three HABIT Air Temperature Sensors (ATS) rods was calibrated within the AWTS. The ATS rods are placed one at the front of the instrument structure (ATS) and two on the sides (ATS and ATS); and under Martian atmospheric conditions these rods serve as cooling fins. Several relationships between the Nusselt number and the Reynolds and Prandtl numbers reported in the literature were evaluated to model convective heat transfer from the ATS rods. Where needed, corrections to account for radiative heat transfer within the AWTS were implemented. The final retrieval method demonstrated that wind speed can be retrieved for frontal winds in the range of 0–10 m/s, with an error of ±0.3 m/s, using the cooling profile of the ATS rod 3, and for lateral winds in the range of 0–6 m/s, with an error of ±0.3 m/s, using the ATS rod 2 cooling profile.
Versión del editorhttp://dx.doi.org/10.1016/j.applthermaleng.2020.115752
URIhttp://hdl.handle.net/10261/223904
DOI10.1016/j.applthermaleng.2020.115752
Identificadoresdoi: 10.1016/j.applthermaleng.2020.115752
issn: 1359-4311
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