Evidence map›Paper›PMID 33092016›Full record

ArticleSensors (Basel, Switzerland)2020

Analyzing the Performance of a Miniature 3D Wind Sensor for Mars.

Manuel Domínguez-Pumar, Lukasz Kowalski, Vicente Jiménez, Ivette Rodríguez, Manel Soria, Sandra Bermejo, Joan Pons-Nin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Manuel Domínguez-PumarMicro and Nano Technologies Group, Electronic Engineering Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.ORCID 0000-0001-5439-7953
Lukasz KowalskiMicro and Nano Technologies Group, Electronic Engineering Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.ORCID 0000-0001-7843-6662
Vicente JiménezMicro and Nano Technologies Group, Electronic Engineering Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.
Ivette RodríguezTurbulence and Aerodynamics in Mechanical and Aerospace Engineering Research Group, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-3749-277X
Manel SoriaTurbulence and Aerodynamics in Mechanical and Aerospace Engineering Research Group, Universitat Politècnica de Catalunya, 08222 Terrassa, Spain.ORCID 0000-0002-4112-6078
Sandra BermejoMicro and Nano Technologies Group, Electronic Engineering Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.
Joan Pons-NinMicro and Nano Technologies Group, Electronic Engineering Department, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.ORCID 0000-0002-0356-5678

Funding

Ministerio de Economía y Competitividad RTI2018-098728-B-C33
6 · The paper itself

Abstract

This paper analyzes the behavior of a miniature 3D wind sensor designed for Mars atmosphere. The sensor is a spherical structure of 10 mm diameter divided in four sectors. By setting all the sectors to constant temperature, above that of the air, the 3D wind velocity vector can be measured. Two sets of experiments have been performed. First, an experimental campaign made under typical Mars conditions at the Aarhus Wind Tunnel Simulator is presented. The results demonstrate that both wind speed and angle can be efficiently measured, using a simple inverse algorithm. The effect of sudden wind changes is also analyzed and fast response times in the range of 0.7 s are obtained. The second set of experiments is focused on analyzing the performance of the sensor under extreme Martian wind conditions, reaching and going beyond the Dust Devil scale. To this purpose, both high-fidelity numerical simulations of fluid dynamics and heat transfer and experiments with the sensor have been performed. The results of the experiments, made for winds in the Reynolds number 1000-2000 range, which represent 65-130 m/s of wind speed under typical Mars conditions, further confirm the simulation predictions and show that it will be possible to successfully measure wind speed and direction even under these extreme regimes.

Indexed as

heat transferlow pressure atmospheremars explorationspherical sensorsthermal anemometrywind sensors

Identifiers

PMID33092016
PMCPMC7589199

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.