Evidence map›Paper›PMID 35591116›Full record

ArticleSensors (Basel, Switzerland)2022

High-Sensitivity Pressure Sensors Based on a Low Elastic Modulus Adhesive.

Xiuzhu Xu, Hao Zhu, Shengping Dai, Tao Sun, Guanggui Cheng, Jianning Ding

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.2field-weighted citation impact, top 54% of its field
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, 3 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Xiuzhu XuSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0003-4138-5931
Hao ZhuSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Shengping DaiSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Tao SunSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Guanggui ChengSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Jianning DingSchool of Mechanical Engineering, Institute of Intelligent Flexible Mechatronics, Jiangsu University, Zhenjiang 212013, China.
Jiangsu University · CN

Funding

Jianning Ding No.51675236
6 · The paper itself

Abstract

With the rapid development of intelligent applications, the demand for high-sensitivity pressure sensor is increasing. However, the simple and efficient preparation of an industrial high-sensitivity sensor is still a challenge. In this study, adhesives with different elastic moduli are used to bond pressure-sensitive elements of double-sided sensitive grids to prepare a highly sensitive and fatigue-resistant pressure sensor. It was observed that the low elastic modulus adhesive effectively produced tensile and compressive strains on both sides of the sensitive grids to induce greater strain transfer efficiency in the pressure sensor, thus improving its sensitivity. The sensitivity of the sensor was simulated by finite element analysis to verify that the low elastic modulus adhesive could enhance the sensitivity of the sensor up to 12%. The preparation of high-precision and fatigue-resistant pressure sensors based on low elastic modulus, double-sided sensitive grids makes their application more flexible and convenient, which is urgently needed in the miniaturization and integration electronics field.

Indexed as

AdhesivesFatigueElastic ModulusFinite Element AnalysisHumansPressureAdhesivesadhesiveshigh sensitivitylow elastic moduluspressure sensors

Identifiers

PMID35591116
PMCPMC9103123
OpenAlexW4225265299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.