Journal
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
Volume 141, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compositesa.2020.106236
Keywords
Process monitoring; Structural health monitoring; Graphene; CNTs
Funding
- Khalifa University of Science and Technology [CIRA-2020-007, FSU-2019-08]
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Carbon nanomaterial-coated piezoresistive fiber sensors are utilized for in-situ process and structural health monitoring of composites in various industries. These sensors can be embedded in composites by incorporating them in the matrix or depositing them on fibrous reinforcements. Different strategies for coating carbon nanomaterials on fiber reinforcements are discussed, along with the review of monitored parameters during composites manufacturing and damage detection using nanomaterial-coated in-situ sensors. Current and future challenges are highlighted, focusing on new types of 2D materials for next generation smart sensors.
Carbon nanomaterial-coated piezoresistive fiber sensors are finding applications in many industries for in-situ process and structural health monitoring of composites. These nanomaterials are embedded within the composite in two different ways; either by incorporating them in the matrix, or by depositing them on fibrous reinforcements. This review highlights the utility of carbon nanomaterials as deposition materials for fiber reinforcements and turning them into sensors for process monitoring during manufacturing and structural health monitoring during in-service life. A number of different strategies to coat carbon nanomaterials on fiber reinforcements are also discussed. A review of various monitored parameters during composites manufacturing such as reinforcement compaction response, flow-front tracking, and resin gelation and cure, as well as damage detection of finished composites using nanomaterial-coated in-situ sensors is also presented. Finally, current and future challenges are discussed where new types of 2D materials and their hybrids for next generation smart sensors are highlighted.
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