Openly accessible

Electrothermal modeling and analysis of polypyrrole-coated wearable e-textiles

Kaynak, Akif, Zolfagharian, Ali, Featherby, Toby, Bodaghi, Mahdi, Mahmud, M A Parvez and Kouzani, Abbas Z 2021, Electrothermal modeling and analysis of polypyrrole-coated wearable e-textiles, Materials, vol. 14, no. 3, pp. 1-16, doi: 10.3390/ma14030550.

Attached Files
Name Description MIMEType Size Downloads

Title Electrothermal modeling and analysis of polypyrrole-coated wearable e-textiles
Author(s) Kaynak, AkifORCID iD for Kaynak, Akif orcid.org/0000-0002-6679-657X
Zolfagharian, Ali
Featherby, Toby
Bodaghi, Mahdi
Mahmud, M A ParvezORCID iD for Mahmud, M A Parvez orcid.org/0000-0002-1905-6800
Kouzani, Abbas ZORCID iD for Kouzani, Abbas Z orcid.org/0000-0002-6292-1214
Journal name Materials
Volume number 14
Issue number 3
Article ID 550
Start page 1
End page 16
Total pages 16
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2021-02-01
ISSN 1996-1944
1996-1944
Keyword(s) Science & Technology
Physical Sciences
Technology
Chemistry, Physical
Materials Science, Multidisciplinary
Metallurgy & Metallurgical Engineering
Physics, Applied
Physics, Condensed Matter
Chemistry
Materials Science
Physics
conducting polymers
wearable
e-textiles
Joule heating
finite element modelling
Summary The inhomogeneity of the resistance of conducting polypyrrole-coated nylon–Lycra and polyester (PET) fabrics and its effects on surface temperature were investigated through a systematic experimental and numerical work including the optimization of coating conditions to determine the lowest resistivity conductive fabrics and establish a correlation between the fabrication conditions and the efficiency and uniformity of Joule heating in conductive textiles. For this purpose, the effects of plasma pre-treatment and molar concentration analysis of the dopant anthraquinone sulfonic acid (AQSA), oxidant ferric chloride, and monomer pyrrole was carried out to establish the conditions to determine the sample with the lowest electrical resistance for generating heat and model the experiments using the finite element modeling (FEM). Both PET and nylon-Lycra underwent atmospheric plasma treatment to functionalize the fabric surface to improve the binding of the polymer and obtain coatings with reduced resistance. Both fabrics were compared in terms of average electrical resistance for both plasma treated and untreated samples. The plasma treatment induced deep black coatings with lower resistance. Then, heat-generating experiments were conducted on the polypyrrole (PPy) coated fabrics with the lowest resistance using a variable power supply to study the distribution and maximum value of the temperature. The joule heating model was developed to predict the heating of the conductive fabrics via finite element analysis. The model was based on the measured electrical resistance at different zones of the coated fabrics. It was shown that, when the fabric was backed with neoprene insulation, it would heat up quicker and more evenly. The average electrical resistance of the PPy-PET sample used was 190 Ω, and a maximum temperature reading of 43 °C was recorded. The model results exhibited good agreement with thermal camera data.
Language eng
DOI 10.3390/ma14030550
Indigenous content off
Field of Research 03 Chemical Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147762

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 57 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 03 Feb 2021, 11:16:55 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.