Evidence map›Paper›PMID 39460154›Full record

ArticleSensors (Basel, Switzerland)2024

Experimental Study of Hot-Sphere Anemometer Response in Stratospheric Environment.

Xiyuan Li, Xiaoning Yang, Xiaobin Shen, Guiping Lin, Dongxing Tao, Jing Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

6 authors.

Xiyuan LiBeijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
Xiaoning YangBeijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
Xiaobin ShenSchool of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0002-0735-5774
Guiping LinSchool of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China.
Dongxing TaoBeijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
Jing WangChina Aerospace Science and Technology Corporation, Beijing 100048, China.

Funding

Beijing Nova Program Z211100002121077
6 · The paper itself

Abstract

Accurate wind speed measurement in low-pressure conditions is crucial for the thermal performance validation and attitude control of stratospheric aircraft. As air density decreases, traditional wind speed measurement systems based on principles such as dynamic pressure, heat transfer, ultrasound, and particle velocimetry face significant challenges when applied in low-pressure environments, often failing to achieve the required measurement accuracy. This paper presents the development of a wind speed simulation system based on a rotation method designed to operate in low-pressure conditions, utilizing a space environment simulation chamber in conjunction with a high-precision turntable. The system was employed to conduct response tests on a constant heat flow thermal sphere anemometer within a stratospheric pressure range of 1 kPa to 30 kPa. The experimental results revealed that at extremely low Reynolds numbers, the probe signal exhibited increasing nonlinearity, significantly affecting the response curve at pressures below 15 kPa. While the sensitivity of the hot-sphere probe remained relatively stable at wind speeds above 5 m/s, it decreased nonlinearly as the pressure dropped when wind speeds fell below 5 m/s. Furthermore, this paper analyzes the impact of various interpolation methods on wind speed conversion errors, providing valuable data to support the future development and validation of stratospheric aircraft.

Indexed as

experimentstratospherethermal anemometerwind speed measurement

Identifiers

PMID39460154
PMCPMC11510915

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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.