Evidence map›Paper›PMID 38067917›Full record

ArticleSensors (Basel, Switzerland)2023

Displacement Measurement Method Based on Double-Arrowhead Auxetic Tubular Structure.

Qingguo Wen, Pengju Li, Zhengkai Zhang, Hong Hu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Qingguo WenSchool of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0000-0002-0605-2915
Pengju LiSchool of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0000-0001-7405-208X
Zhengkai ZhangSchool of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Hong HuSchool of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0002-5098-2415

Funding

National Natural Science Foundation of China 51705394Xi'an Science and Technology Plan Project 2021JH-QCY7-0024
6 · The paper itself

Abstract

This research paper introduces an innovative technique for measuring displacement using auxetic tubular structure (ATS). The proposed displacement measurement method is based on tubular structures with a negative Poisson's ratio. It capitalizes on the underlying principle that the elastic deformation-induced change in transmittance of the ATS can be translated into a corresponding modification in the output current of the solar cell. This method allows for the conversion of the variation in light transmission into a corresponding variation in output voltage. The construction of the ATS can be achieved through 3D-printing technology, enhancing the accessibility of displacement measurement and design flexibility. The experimental results demonstrate that the proposed measurement method exhibits a linear error of less than 8% without any subsequent signal processing and achieves a sensitivity of 0.011 V/mm without signal amplification. Furthermore, experimental results also show that the proposed method has good repeatability and can maintain a high level of reliability and sensitivity when using different measurement devices. This confirms the effectiveness and feasibility of the proposed method, showing a favorable linear relationship between the input and output of the measurement system with an acceptable sensitivity, repeatability, and reliability.

Indexed as

auxetic tubular structuresdisplacement measurementdouble-arrowhead auxetic structurenegative Poisson’s ratio

Identifiers

PMID38067917
PMCPMC10708591

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.