Abstract
We investigated the optimal manufacturing conditions for a multi-walled carbon nanotubes (MWCNTs)/epoxy composite strain sensor in order to improve the sensitivity of the sensor. The specimens were manufactured and the electrical properties of the specimens were compared according to different MWCNT concentrations and dispersion methods. The sensitivity of MWCNTs/epoxy composite strain sensor was investigated quantitatively by measuring resistance changes according to the variation of a constant strain. Scanning electron microscopy (SEM) images confirmed that MWCNTs/epoxy composites with different CNT concentrations have a good homogeneity and dispersion. In addition, we attempted to evaluate the sensing characteristics and compared them with those of a conventional foil strain gauge. A MWCNTs/epoxy composite was attached to an acrylic beam. The response of the MWCNTs/epoxy sensor was fairly good, and the result was nearly identical to that of the strain gauge. In order to verify the performance of the sensor, a Wheatstone bridge circuit and a signal conditioning circuit were used. This current study on the sensitivity of MWCNTs/epoxy composite sensors provides a useful tool for designing smart sensing and multifunctional polymer composites. The concept of using these conductive fillers provides a low-cost and effective way to fabricate piezoresistive polymer nanocomposites for structural health monitoring applications.
| Original language | English |
|---|---|
| Title of host publication | Structural Health Monitoring 2017 |
| Subtitle of host publication | Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 |
| Editors | Fu-Kuo Chang, Fotis Kopsaftopoulos |
| Publisher | DEStech Publications |
| Pages | 1953-1960 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781605953304 |
| DOIs | |
| State | Published - 2017 |
| Event | 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford, United States Duration: 2017.09.12 → 2017.09.14 |
Publication series
| Name | Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017 |
|---|---|
| Volume | 2 |
Conference
| Conference | 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 |
|---|---|
| Country/Territory | United States |
| City | Stanford |
| Period | 17.09.12 → 17.09.14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Quacquarelli Symonds(QS) Subject Topics
- Computer Science & Information Systems
- Data Science
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