Evidence map›Paper›PMID 38930646›Full record

ArticleMicromachines2024

Distance Measurement of Contra-Rotating Rotor Blades with Ultrasonic Transducers.

Shan Zhang, Yaohuan Lu, Zhen Qiu, Wenchuan Hu, Zewen Dong, Zurong Qiu, Yongqiang Qiu

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Shan ZhangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.ORCID 0009-0008-4821-7352
Yaohuan LuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-7740-800X
Zhen QiuSchool of Engineering, University of Bolton, Bolton BL3 5AB, UK.
Wenchuan HuCollege of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin 300355, China.
Zewen DongState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.
Zurong QiuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.
Yongqiang QiuSchool of Engineering, Liverpool John Moores University, Liverpool L3 3AF, UK.ORCID 0000-0003-0266-1294

Funding

National Natural Science Foundation of China 52175514
6 · The paper itself

Abstract

Coaxial rotor helicopters have great potential in civilian and commercial uses, with many advantages, but challenges remain in the accurate measurement of rotor blades' distance to prevent blade collision. In this paper, a blade tip distance measurement method based on ultrasonic measurement window and phase triggering is proposed, and the triggering time of the transmitter is studied. Due to the complexity of the measured signal, bandpass filtering and a time-of-flight (TOF) estimation based on the power density of the received signal are utilised. The method is tested on an experimental test platform with a pair of 200 kHz ultrasonic transducers. The experimental results show that the maximum ranging error is less than 1.0% for the blade tip distance in a range of 100-1000 mm. Compared with the amplitude threshold method, the proposed TOF estimation method works well on the received signal with a low SNR and improves the ranging accuracy by about 5 mm when the blade tip distance is larger than 500 mm. This study provides a good reference for the accurate measurement of rotor blade tip distance, and gives a solution for ranging high-speed rotating objects.

Indexed as

bandpass filteringrotor blade distanceTOF estimationultrasonic ranging

Identifiers

PMID38930646
PMCPMC11205740

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.