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
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Abstract
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.
Item Type: | Article (Journal) |
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Uncontrolled Keywords: | Strain sensors, Carbon black, Multi-wall carbon nanotube, Ecoflex, Gauge factor |
Subjects: | T Technology > T Technology (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Engineering |
Depositing User: | Dr. Tanveer Saleh CEng MIMechE |
Date Deposited: | 21 Nov 2024 09:35 |
Last Modified: | 21 Nov 2024 09:35 |
URI: | http://irep.iium.edu.my/id/eprint/115945 |
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