Evidence map›Paper›PMID 36772310›Full record

ArticleSensors (Basel, Switzerland)2023

Design of Laboratory Stand for Displacement Measurement of IPMC Actuators.

Karina Koślik, Paweł Kowol, Rafał Brociek, Agata Wajda, Grazia Lo Sciuto

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

5 authors.

Karina KoślikDepartment of Mechatronics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland.
Paweł KowolDepartment of Mechatronics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland.ORCID 0000-0002-5855-7763
Rafał BrociekDepartment of Mathematics Applications and Methods for Artificial Intelligence, Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.ORCID 0000-0002-7255-6951
Agata WajdaInstitute of Energy and Fuel Processing Technology, Zamkowa 1, 41-803 Zabrze, Poland.ORCID 0000-0002-1667-3328
Grazia Lo SciutoDepartment of Mechatronics, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland.ORCID 0000-0001-9384-7232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The polymer technology based on Electroactive polymers and metal composite ionic polymer has great potential and advantages in many engineering fields. In this paper, a laboratory stand for testing Ionic polymer-metal composites (IPMC) is presented. The laboratory station includes a power supply system and a measuring system for the displacement of IPMC composites. Tests and measurements are carried out using a laser transducer and a camera equipped with image analysis software to determine the IPMC strips displacement. The experimental investigation of IPMCs under different voltage supplies and waveforms, environmental working humidity conditions, temperature, and loading conditions has proved the significant influence of geometric dimension and the effect of increased stress on the displacement value. For materials powered by a higher voltage value, an increased deflection value was noted. In case of displacement, longer is the sample, higher is the displacement value. The length of the sample under load, affects adversely its performance, resulting in an increase in the load on the sample. For samples of a thick size, a more stable movement with and without load can be noticed.

Indexed as

displacement measurementelectrical characterizationionic electroactive polymersthermal camera

Identifiers

PMID36772310
PMCPMC9919193

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.