Uncharged Monolithic Carbon Fibers Are More Sensitive to Cross-Junction Compression than Charged DOI Creative Commons

Oleksandr Syzoniuk,

Saoni Banerji, Alvo Aabloo

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(12), P. 3937 - 3937

Published: June 18, 2024

Textile-based wearable robotics increasingly integrates sensing and energy materials to enhance functionality, particularly in physiological monitoring, demanding higher-performing abundant robotic textiles. Among the alternatives, activated carbon cloth stands out due its monolithic nature high specific surface area, enabling uninterrupted electron transfer storage capability electrical double layer, respectively. Yet, potential of electrodes (MACCEs) wearables still needs be explored, storage. MACCE conductance increased by 29% when saturated with Na2SO4 aqueous electrolyte charged from 0 0.375 V. was validated for measuring pressure up 28 kPa at all assessed charge levels. Electrode sensitivity compression decreased 30% highest repulsive forces between like charges layers surface, counteracting compression. MACCE’s controllable decrease can beneficial garments avoiding irrelevant signals focusing on essential health changes. A charge-dependent provides a method assessing local electrode charge. Our study highlights controlled charging interactions multifunctional roles, including transmission detection, smart wearables.

Language: Английский

Machine Learning in Polymeric Technical Textiles: A Review DOI Open Access
Ivan Malashin,

Dmitry Martysyuk,

В С Тынченко

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(9), P. 1172 - 1172

Published: April 25, 2025

The integration of machine learning (ML) has begun to reshape the development advanced polymeric materials used in technical textiles. Polymeric materials, with their versatile properties, are central performance textiles across industries such as healthcare, aerospace, automotive, and construction. By utilizing ML AI, researchers now able design optimize polymers for specific applications more efficiently, predict behavior under extreme conditions, develop smart, responsive that enhance functionality. This review highlights transformative potential polymer-based textiles, enabling advancements waste sorting (with classification accuracy up 100% pure fibers), material (predicting stiffness properties within 10% error), defect prediction (enabling proactive interventions fabric production), smart wearable systems (achieving response times low 192 ms physiological monitoring). AI technologies drives sustainable innovation enhances functionality textile products. Through case studies examples, this provides guidance future research using technologies.

Language: Английский

Citations

0

A bibliometric analysis and science mapping of home telemonitoring for older adults DOI
Xin Zhang, Yijin Wu

Educational Gerontology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: May 15, 2025

Language: Английский

Citations

0

Janus Fabric Sweat Glucose Sensors for Unidirectional Liquid Collection and In Situ Electrochemical Detection DOI
Zhenting Wu, Ruifang Liu, Chaoyi Yin

et al.

Fibers and Polymers, Journal Year: 2024, Volume and Issue: 25(8), P. 2795 - 2803

Published: July 20, 2024

Language: Английский

Citations

3

Enhancing wearable humidity sensing with conductive PANi-Coated polyurethane nanofibers DOI
Mehran Afrashi, Ali Aghaei, Mohsen Shanbeh

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(6), P. 065016 - 065016

Published: April 24, 2024

Abstract This study presents a flexible nanofibrous humidity sensor for wearable applications and smart textiles. The methodology involved fabricating polyurethane (PU) nanofibers via electrospinning, followed by polyaniline (PANi) coating under varied synthesis conditions. Scanning electron microscopy (SEM) analysis revealed consistent diameter uniformity in the prepared PU nanofibers. Moreover, an increase average nanofiber (305 to 539 nm) was observed with rising polymer solution concentration (7% 9%). Fourier-transform infrared spectroscopy (FT-IR) confirmed physical presence of PANi on surfaces without inducing structural changes. Additionally, strength samples, or coating, increased proportionally higher concentrations. Electrical conductivity measured using four-point device, surface resistance assessed across varying levels humidity’s impact samples. Results exhibited linear relationship between electrical relative Furthermore, PU/PANi exhibit contact angles 113° 133°, respectively. PANi-coated sample is more hydrophobic compared uncoated sample. In conclusion, these findings underscore potential developed as responsive tool monitoring fluctuations diverse applications.

Language: Английский

Citations

2

E-textiles in healthcare: a systematic literature review of wearable technologies for monitoring and enhancing human health DOI

Chenjie Wang,

Lina Fu,

Divine Senanu Ametefe

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

Language: Английский

Citations

2

Uncharged Monolithic Carbon Fibers Are More Sensitive to Cross-Junction Compression than Charged DOI Creative Commons

Oleksandr Syzoniuk,

Saoni Banerji, Alvo Aabloo

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(12), P. 3937 - 3937

Published: June 18, 2024

Textile-based wearable robotics increasingly integrates sensing and energy materials to enhance functionality, particularly in physiological monitoring, demanding higher-performing abundant robotic textiles. Among the alternatives, activated carbon cloth stands out due its monolithic nature high specific surface area, enabling uninterrupted electron transfer storage capability electrical double layer, respectively. Yet, potential of electrodes (MACCEs) wearables still needs be explored, storage. MACCE conductance increased by 29% when saturated with Na2SO4 aqueous electrolyte charged from 0 0.375 V. was validated for measuring pressure up 28 kPa at all assessed charge levels. Electrode sensitivity compression decreased 30% highest repulsive forces between like charges layers surface, counteracting compression. MACCE’s controllable decrease can beneficial garments avoiding irrelevant signals focusing on essential health changes. A charge-dependent provides a method assessing local electrode charge. Our study highlights controlled charging interactions multifunctional roles, including transmission detection, smart wearables.

Language: Английский

Citations

0