Evidence map›Paper›PMID 37687930›Full record

ArticleSensors (Basel, Switzerland)2023

Graphene-Based Flexible Strain Sensor Based on PDMS for Strain Detection of Steel Wire Core Conveyor Belt Joints.

Pengfei Li, Zhijie Li, Hongyue Chen, Yunji Zhu, Dada Yang, Yang Hou

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 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. Review
  2. Review
  3. 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

6 authors.

Pengfei LiSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.ORCID 0000-0003-0818-6682
Zhijie LiSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.ORCID 0009-0000-3775-906X
Hongyue ChenSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.
Yunji ZhuSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.
Dada YangSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.ORCID 0009-0007-8411-9760
Yang HouSchool of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China.

Funding

National Natural Science Foundation of China 52174115 and 51905246
6 · The paper itself

Abstract

Because of their superior performance, flexible strain sensors are used in a wide range of applications, including medicine and health, human-computer interaction, and precision manufacturing. Flexible strain sensors outperform conventional silicon-based sensors in high-strain environments. However, most current studies report complex flexible sensor preparation processes, and research focuses on enhancing and improving one parameter or property of the sensors, ignoring the feasibility of flexible strain sensors for applications in various fields. Since the mechanical properties of flexible sensors can be well combined with rubber conveyor belts, in this work polydimethylsiloxane (PDMS) was used as a flexible substrate by a simple way of multiple drop coating. Graphene-based flexible strain sensor films that can be used for strain detection at the joints of steel cord core conveyor belts were successfully fabricated. The results of the tests show that the sensor has a high sensitivity and can achieve a fast response (response time: 43 ms). Furthermore, the sensor can still capture the conveyor belt strain after withstanding high pressure (1.2-1.4 MPa) and high temperature (150 °C) during the belt vulcanization process. This validates the feasibility of using flexible strain sensors in steel wire core conveyor belts and has some potential for detecting abnormal strains in steel wire core conveyor belt, broadening the application field of flexible sensors.

Indexed as

flexible strain sensorgraphenepolydimethylsiloxane siloxanerope core conveyer belt

Identifiers

PMID37687930
PMCPMC10490603

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.