Design and performance of embedded carbon nanopaper displacement sensor

doi:10.19936/j.cnki.2096-8000.20211228.005

Abstract

Abstract: In this paper, a new displacement sensor based on glass fiber reinforced composites (GFRP) and carbon nanopaper (BP) was developed based on the sensitivity of three-dimensional network structure of carbon nanopaper to bending stress and strain. Three displacement sensors with different thickness and embedded position were designed, and their performance was tested based on the three-point bending experimental platform to explore the influence of sensor thickness and embedded position on its sensing performance. The performance test results show that the resistance change rate of the new displacement sensor has a good quadratic fitting relationship with the displacement. Its sensitivity is mainly affected by the displacement range, sensor thickness and embedded position. The sensor has good repeatability. Experimental results show that when the sensor is thick and the carbon nanopaper is located below the neutral surface, the sensing performance is the best, and the controlled error is within the range of ±0.1 mm.

Key words: carbon nanotubes paper, GFRP, displacement sensor, sensing property

CLC Number:

TB332

HAN Cheng-lin, ZOU Ai-li, WANG Gong-dong, WANG Meng, LI Nan, LI Hua. Design and performance of embedded carbon nanopaper displacement sensor[J]. COMPOSITES SCIENCE AND ENGINEERING, 2021, 0(12): 34-39.

References

[1] LI N, WANG G D, MELLY S K, et al. Interlaminar properties of GFRP laminates toughened by CNTs buckypaper interlayer[J]. Composite Structures, 2019, 208: 13-22.
[2] LUO S, OBITAYO W, LIU T. SWCNT-thin-film-enabled fiber sensors for lifelong structural health monitoring of polymeric composites-From manufacturing to utilization to failure[J]. Carbon, 2014, 76: 321-329.
[3] LUO S D, WANG Y, WANG G T, et al. CNT enabled co-braided smart fabrics: A new route for non-invasive, highly sensitive & large-area monitoring of composites[J]. Scientific Reports, 2017, 7: 44056.
[4] WANG G D, LI N, MELLY S K, et al. Monitoring the drilling process of GFRP laminates with carbon nanotube buckypaper sensor[J]. Composite Structures, 2019, 208: 114-126.
[5] CAO C L, HU C G, FANG L, et al. Humidity sensor based on multi-walled carbon nanotube thin films[J]. Journal of Nanomaterials, 2011, 10: 1-5.
[6] FU Y F, LI Y Q, LIU Y F, et al. High-performance structural flexible strain sensors based on graphene-coated glass fabric/silicone composite[J]. ACS Applied Materials & Interfaces, 2018, 10(41): 35503-35509.
[7] WAJAHAT M, LEE S, KIM J H, et al. Flexible strain sensors fabricated by meniscus-guided printing of carbon nanotube-polymer composites[J]. ACS Applied Materials & Interfaces, 2018, 10(23): 19999-20005.
[8] KHAN S U, KIM J K. Improved interlaminar shear properties of multiscale carbon fiber composites with bucky paper interleaves made from carbon nanofibers[J]. Carbon, 2012, 50(14): 5265-5277.
[9] NIE M, XIA Y H, YANG H S. A flexible and highly sensitive graphene-based strain sensor for structural health monitoring[J]. Cluster Computing, 2019, 22: 8217-8224.
[10] ZHANG Z C, WEI H Q, LIU Y J, et al. Self-sensing properties of smart composite based on embedded buckypaper layer[J]. Structural Health Monitoring an International Journal, 2015, 14(2): 127-136.
[11] WANG X, SPARKMAN J, GOU J H. Strain sensing of printed carbon nanotube sensors on polyurethane substrate with spray deposition modeling[J]. Composites Communications, 2017, 3: 1-6.
[12] CHIARA A, LICIA P, ALESSIO T, et al. Electro-mechanical properties of multilayer graphene-based polymeric composite obtained through a capillary rise method[J]. Sensors (Basel, Switzerland), 2014, 16(11): 1780-1794.
[13] KANG I, SCHULZ M J, KIM J H, et al. A carbon nanotube strain sensor for structural health monitoring[J]. Smart Material Structures, 2006, 15(3): 737-748.
[14] SIDDHANT D, KUMAR N R, ADITI C. Buckypaper embedded self-sensing composite for real-time fatigue damage diagnosis and prognosis[J]. Carbon, 2018, 139: 353-360.
[15] ALY K, BRADFORD P D. Real-time impact damage sensing and localization in composites through embedded aligned carbon nanotube sheets[J]. Composites Part B Engineering, 2018, 162: 522-531.
[16] GAO L M, CHOU T W, THOSTENSON E T, et al. In situ sensing of impact damage in epoxy/glass fiber composites using percolating carbon nanotube networks[J]. Carbon, 2011, 49(10): 3382-3385.
[17] PANOZZO F, ZAPPALORTO M, QUARESIMIN M. Analytical model for the prediction of the piezoresistive behavior of CNT modified polymers[J]. Composites Part B, 2017, 109: 53-63.
[18] SIMMONS J G. Generalized formula for the electric tunnel effect between similar electrodes separated by a thin insulating film[J]. Journal of Applied Physics, 1963, 34(6): 1793-1803.