Smart Carbon Fiber-Reinforced Polymer Composites for Damage Sensing and On-Line Structural Health Monitoring Applications

被引:1
|
作者
Lopes, Claudia [1 ,2 ]
Araujo, Andreia [3 ]
Silva, Fernando [3 ]
Pappas, Panagiotis-Nektarios [4 ]
Termine, Stefania [5 ]
Trompeta, Aikaterini-Flora A. [5 ]
Charitidis, Costas A. [5 ]
Martins, Carla [6 ]
Mould, Sacha T. [6 ]
Santos, Raquel M. [3 ,7 ]
机构
[1] Univ Minho, Phys Ctr Minho & Porto Univ CF UM UP, P-4710057 Braga, Portugal
[2] Univ Minho, LaPMET Lab Phys Mat & Emergent Technol, P-4710057 Braga, Portugal
[3] INEGI Inst Sci & Innovat Mech & Ind Engn, P-4200465 Porto, Portugal
[4] FORTH ICE HT Inst Chem Engn Sci, Fdn Res & Technol Hellas, Patras 26504, Greece
[5] Natl Tech Univ Athens, R NANO Res Lab Adv Composite Nanomat & Nanotechnol, Sch Chem Engn, Mat Scienceand Engn Dept, Athens 15773, Greece
[6] Univ Minho, IPC Inst Polymers & Composites, Campus Azurem, P-4800058 Guimaraes, Portugal
[7] LAETA Associated Lab Energy Transports & Aerosp, P-4200465 Porto, Portugal
关键词
carbon fiber-reinforced polymer composites; nanomaterials; self-sensing; damage detection; structural health monitoring; nanocomposites; geometric features; NANOTUBE NETWORKS; STRAIN; MECHANISMS; MORPHOLOGY;
D O I
10.3390/polym16192698
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
High electrical conductivity, along with high piezoresistive sensitivity and stretchability, are crucial for designing and developing nanocomposite strain sensors for damage sensing and on-line structural health monitoring of smart carbon fiber-reinforced polymer (CFRP) composites. In this study, the influence of the geometric features and loadings of carbon-based nanomaterials, including reduced graphene oxide (rGO) or carbon nanofibers (CNFs), on the tunable strain-sensing capabilities of epoxy-based nanocomposites was investigated. This work revealed distinct strain-sensing behavior and sensitivities (gauge factor, GF) depending on both factors. The highest GF values were attained with 0.13 wt.% of rGO at various strains. The stability and reproducibility of the most promising self-sensing nanocomposites were also evaluated through ten stretching/relaxing cycles, and a distinct behavior was observed. While the deformation of the conductive network formed by rGO proved to be predominantly elastic and reversible, nanocomposite sensors containing 0.714 wt.% of CNFs showed that new conductive pathways were established between neighboring CNFs. Based on the best results, formulations were selected for the manufacturing of pre-impregnated materials and related smart CFRP composites. Digital image correlation was synchronized with electrical resistance variation to study the strain-sensing capabilities of modified CFRP composites (at 90 degrees orientation). Promising results were achieved through the incorporation of CNFs since they are able to form new conductive pathways and penetrate between micrometer-sized fibers.
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页数:17
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