Washability Testing of Wearable E-Textiles for Robustness in Daily Use

Widespread adoption of wearable e-textiles requires their robustness in daily use, including reliable performance after machine laundering, defined as washability. However, the field of e-textile washability has not yet adopted an established testing procedure representative of household environment. Thus, a method for reproducible washability testing suitable for e-textiles was developed, with a gentle washing cycle applied 25 times. Washability testing was conducted for conductive yarns, fabrics and elastic fibers, and capacitive strain sensors (parallel plate strain sensor and helical auxetic yarn strain sensor (HACS)) constructed from these materials. Resistance and capacitance were measured for materials and sensors, respectively. Additionally, the effectiveness of encapsulation of functional elements in non-functional textile in improving washability was tested. Strain testing was applied to sensors to evaluate the effect of laundering on their response. Protection methods were not consistently effective in improving washability. Parallel plate sensors experienced changes in sensitivity, most likely due to geometrical changes, but retained their sensing functionality with laundering. HACS, when stabilized by encapsulation, proved the most robust to laundering. These results allow identification of key research areas to assess and improve e-textile washability.

Authors

Publication Details

Published
2024-11-19
DOI
https://doi.org/10.23919/e-textiles63767.2024.10914117
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Washability Testing of Wearable E-Textiles for Robustness in Daily Use

Valeria Galli, Chakaveh Ahmadizadeh, Carlo Menon, Trui Osselaer
Textile materials and evaluations
article

Washability Testing of Wearable E-Textiles for Robustness in Daily Use

Valeria Galli, Chakaveh Ahmadizadeh, Carlo Menon, Trui Osselaer
article en

Abstract

Widespread adoption of wearable e-textiles requires their robustness in daily use, including reliable performance after machine laundering, defined as washability. However, the field of e-textile washability has not yet adopted an established testing procedure representative of household environment. Thus, a method for reproducible washability testing suitable for e-textiles was developed, with a gentle washing cycle applied 25 times. Washability testing was conducted for conductive yarns, fabrics and elastic fibers, and capacitive strain sensors (parallel plate strain sensor and helical auxetic yarn strain sensor (HACS)) constructed from these materials. Resistance and capacitance were measured for materials and sensors, respectively. Additionally, the effectiveness of encapsulation of functional elements in non-functional textile in improving washability was tested. Strain testing was applied to sensors to evaluate the effect of laundering on their response. Protection methods were not consistently effective in improving washability. Parallel plate sensors experienced changes in sensitivity, most likely due to geometrical changes, but retained their sensing functionality with laundering. HACS, when stabilized by encapsulation, proved the most robust to laundering. These results allow identification of key research areas to assess and improve e-textile washability.

Openalex Percentile: Top 79%
Textile materials and evaluations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Washability Testing of Wearable E-Textiles for Robustness in Daily Use — Valeria Galli, Chakaveh Ahmadizadeh, et al. · (2024) | TGRS Research Map | TGRS