Evidence map›Paper›PMID 35208347›Full record

ArticleMicromachines2022

Flexible Capacitive Pressure Sensor Based on Microstructured Composite Dielectric Layer for Broad Linear Range Pressure Sensing Applications.

Yaoguang Shi, Xiaozhou Lü, Jihao Zhao, Wenran Wang, Xiangyu Meng, Pengfei Wang, Fan Li

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Yaoguang ShiSchool of Aerospace Science and Technology, Xidian University, Xi'an 710071, China.ORCID 0000-0003-2840-6048
Xiaozhou LüSchool of Aerospace Science and Technology, Xidian University, Xi'an 710071, China.
Jihao ZhaoSchool of Aerospace Science and Technology, Xidian University, Xi'an 710071, China.
Wenran WangSchool of Aerospace Science and Technology, Xidian University, Xi'an 710071, China.
Xiangyu MengSchool of Aerospace Science and Technology, Xidian University, Xi'an 710071, China.ORCID 0000-0002-4350-8774
Pengfei WangQian Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China.
Fan LiKey Laboratory of Flight Techniques and Flight Safety, CAAC, Civil Aviation Flight University of China, Guanghan 618307, China.

Funding

Fundamental Research Funds for the Central Universities JB211304National Natural Science Foundation of China 51905404National Natural Science Foundation of China 91748209Open Fund of the Key Laboratory of Flight Techniques and Flight Safety, CAAC FZ2020KF01
6 · The paper itself

Abstract

Flexible pressure sensors have attracted a considerable amount of attention in various fields including robotics and healthcare applications, among others. However, it remains significantly challenging to design and fabricate a flexible capacitive pressure sensor with a quite broad linearity detection range due to the nonlinear stress-strain relation of the hyperelastic polymer-based dielectric material. Along these lines, in this work, a novel flexible capacitive pressure sensor with microstructured composite dielectric layer (MCDL) is demonstrated. The MCDL was prepared by enforcing a solvent-free planetary mixing and replica molding method, while the performances of the flexible capacitive pressure sensor were characterized by performing various experimental tests. More specifically, the proposed capacitive pressure sensor with 4.0 wt % cone-type MCDL could perceive external pressure loads with a broad detection range of 0-1.3 MPa, which yielded a high sensitivity value of 3.97 × 10

Indexed as

capacitive pressure sensordetection rangelinearitymicrostructured dielectric composite layer

Identifiers

PMID35208347
PMCPMC8880179

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.