Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites

Strain sensors have garnered considerable interest, particularly in human motion and health monitoring, owing to their high stretchability and sensitivity. In this paper, resistive strain sensors comprising carbon black (CB)/ Ecoflex and multi-wall carbon nanotube (MWCNT)/Ecoflex with high sensiti...

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Main Authors: Abd Hamid, Fatimah Khairiah, Hasan, Mohammed Nazibul, Murty, Gantan Etika, Ahmad Asri, Muhammad Izzudin, Saleh, Tanveer, Mohamed Ali, Mohamed Sultan
Format: Article
Language:English
English
Published: Elsevier 2024
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http://irep.iium.edu.my/115945/8/115945_%20Resistive%20strain%20sensors_Scopus.pdf
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https://www.sciencedirect.com/science/article/abs/pii/S0924424723008099?via%3Dihub
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spelling my.iium.irep.1159452024-11-21T01:35:40Z http://irep.iium.edu.my/115945/ Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites Abd Hamid, Fatimah Khairiah Hasan, Mohammed Nazibul Murty, Gantan Etika Ahmad Asri, Muhammad Izzudin Saleh, Tanveer Mohamed Ali, Mohamed Sultan T Technology (General) Strain sensors have garnered considerable interest, particularly in human motion and health monitoring, owing to their high stretchability and sensitivity. In this paper, resistive strain sensors comprising carbon black (CB)/ Ecoflex and multi-wall carbon nanotube (MWCNT)/Ecoflex with high sensitivity and large mechanical strain are presented. These sensors were developed using solution casting and dip-coating techniques. In addition, toluene and acetone were used to enhance the adhesion of CB and MWCNT to the Ecoflex substrate, thereby increasing electrical conductivity, sensitivity, and flexibility of the sensors while maintaining their high stretchability. Toluene-treated strain sensors exhibited the highest sensitivity for both CB/Ecoflex and MWCNT/Ecoflex strain sensors. As a result, the CB/Ecoflex sensor with toluene treatment achieved the highest gauge factor (GF) of ~1131, which is 19 times higher than the original samples without surface treatment. Meanwhile, a GF of ~106 is exhibited by the MWCNT/Ecoflex sensor, with toluene treatment improving sensitivity by a factor of 2 over untreated samples. These promising findings demonstrate the potential and prospects for flexible and wearable sensor applications. Elsevier 2024-02-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/115945/7/115945_%20Resistive%20strain%20sensors.pdf application/pdf en http://irep.iium.edu.my/115945/8/115945_%20Resistive%20strain%20sensors_Scopus.pdf Abd Hamid, Fatimah Khairiah and Hasan, Mohammed Nazibul and Murty, Gantan Etika and Ahmad Asri, Muhammad Izzudin and Saleh, Tanveer and Mohamed Ali, Mohamed Sultan (2024) Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites. Sensors and Actuators: A. Physical, 366. pp. 1-11. ISSN 0924-4247 E-ISSN 1873-3069 https://www.sciencedirect.com/science/article/abs/pii/S0924424723008099?via%3Dihub 10.1016/j.sna.2023.114960
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Abd Hamid, Fatimah Khairiah
Hasan, Mohammed Nazibul
Murty, Gantan Etika
Ahmad Asri, Muhammad Izzudin
Saleh, Tanveer
Mohamed Ali, Mohamed Sultan
Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
description Strain sensors have garnered considerable interest, particularly in human motion and health monitoring, owing to their high stretchability and sensitivity. In this paper, resistive strain sensors comprising carbon black (CB)/ Ecoflex and multi-wall carbon nanotube (MWCNT)/Ecoflex with high sensitivity and large mechanical strain are presented. These sensors were developed using solution casting and dip-coating techniques. In addition, toluene and acetone were used to enhance the adhesion of CB and MWCNT to the Ecoflex substrate, thereby increasing electrical conductivity, sensitivity, and flexibility of the sensors while maintaining their high stretchability. Toluene-treated strain sensors exhibited the highest sensitivity for both CB/Ecoflex and MWCNT/Ecoflex strain sensors. As a result, the CB/Ecoflex sensor with toluene treatment achieved the highest gauge factor (GF) of ~1131, which is 19 times higher than the original samples without surface treatment. Meanwhile, a GF of ~106 is exhibited by the MWCNT/Ecoflex sensor, with toluene treatment improving sensitivity by a factor of 2 over untreated samples. These promising findings demonstrate the potential and prospects for flexible and wearable sensor applications.
format Article
author Abd Hamid, Fatimah Khairiah
Hasan, Mohammed Nazibul
Murty, Gantan Etika
Ahmad Asri, Muhammad Izzudin
Saleh, Tanveer
Mohamed Ali, Mohamed Sultan
author_facet Abd Hamid, Fatimah Khairiah
Hasan, Mohammed Nazibul
Murty, Gantan Etika
Ahmad Asri, Muhammad Izzudin
Saleh, Tanveer
Mohamed Ali, Mohamed Sultan
author_sort Abd Hamid, Fatimah Khairiah
title Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
title_short Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
title_full Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
title_fullStr Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
title_full_unstemmed Resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
title_sort resistive strain sensors based on carbon black and multi-wall carbon nanotube composites
publisher Elsevier
publishDate 2024
url http://irep.iium.edu.my/115945/7/115945_%20Resistive%20strain%20sensors.pdf
http://irep.iium.edu.my/115945/8/115945_%20Resistive%20strain%20sensors_Scopus.pdf
http://irep.iium.edu.my/115945/
https://www.sciencedirect.com/science/article/abs/pii/S0924424723008099?via%3Dihub
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score 13.223943