Hardware and Software Development for Isotonic Strain and Isometric Stress Measurements of Linear Ionic Actuators.
IIECMS
MWCNT-CDC fibers
PPy/DBS linear films
uncertainty measurements
Journal
Polymers
ISSN: 2073-4360
Titre abrégé: Polymers (Basel)
Pays: Switzerland
ID NLM: 101545357
Informations de publication
Date de publication:
17 Jun 2019
17 Jun 2019
Historique:
received:
18
04
2019
revised:
29
05
2019
accepted:
16
06
2019
entrez:
20
6
2019
pubmed:
20
6
2019
medline:
20
6
2019
Statut:
epublish
Résumé
An inseparable part of ionic actuator characterization is a set of adequate measurement devices. Due to significant limitations of available commercial systems, in-house setups are often employed. The main objective of this work was to develop a software solution for running isotonic and isometric experiments on a hardware setup consisting of a potentiostat, a linear displacement actuator, a force sensor, and a voltmeter for measuring the force signal. A set of functions, hardware drivers, and measurement automation algorithms were developed in the National Instruments LabVIEW 2015 system. The result is a software called isotonic (displacement) and isometric (force) electro-chemo-measurement software (IIECMS), that enables the user to control isotonic and isometric experiments over a single compact graphical user interface. The linear ionic actuators chosen as sample systems included different materials with different force and displacement characteristics, namely free-standing polypyrrole films doped with dodecylbenzene sulfonate (PPy/DBS) and multiwall carbon nanotube/carbide-derived carbon (MWCNT-CDC) fibers. The developed software was thoroughly tested with numerous test samples of linear ionic actuators, meaning over 200 h of experimenting time where over 90% of the time the software handled the experiment process autonomously. The uncertainty of isotonic measurements was estimated to be 0.6 µm (0.06%). With the integrated correction algorithms, samples with as low as 0 dB signal-to-noise ratio (SNR) can be adequately described.
Identifiants
pubmed: 31212942
pii: polym11061054
doi: 10.3390/polym11061054
pmc: PMC6631421
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Estonian Research Council Grant
ID : IUT20-24
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