Multifunctional SENSING using 3D printed CNTs/BaTiO 3 /PVDF nanocomposites

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Abstract

This research studied multifunctional sensing capabilities on nanocomposites composed of poly(vinylidene) fluoride (PVDF), BaTiO 3 (BT), and multiwall carbon nanotubes (CNTs) fabricated by fused-deposition modeling 3D printing. To improve the dielectric property within BT/PVDF composites, CNTs have been utilized to promote ultrahigh polarization density and local micro-capacitor among BT and polymer matrix. The 3D printing process provides homogeneous dispersion of nanoparticles, alleviating agglomeration of nanoparticles, and reducing micro-crack/voids in matrix which can enhance their dielectric property. In this research, we demonstrated that by utilizing unique advantages of this material combination and a 3D printing technique, sensing capabilities for temperature and strain can be engineered with different content variations of included BT and CNTs. It is observed that the sensing capability for temperature change with respect to a 25–150℃ range can be improved as both BT and CNTs’ inclusions increase and is maximal with 1.7 wt.% CNTs/60 wt.% BT/PVDF nanocomposites, while the sensing capability for strain change in a 0–20% range is maximal with 1 wt.% CNTs/12 wt.% BT/PVDF nanocomposites. In addition, it is found that the best combination for mechanical toughness is 1 wt.% CNTs/12 wt.% BT/PVDF with 24.2 MPa and 579% in ultimate tensile strength and failure strain, respectively. These results show the technique to 3D print multifunctional nanocomposites with temperature and strain sensing capabilities as well as increased mechanical property. Furthermore, this research demonstrated the feasibility for large-scale multifunctional sensor device manufacturing with freedom of design, low-cost, and an accelerated process.

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APA

Kim, H., Wilburn, B. R., Castro, E., Garcia Rosales, C. A., Chavez, L. A., Tseng, T. L. B., & Lin, Y. (2019). Multifunctional SENSING using 3D printed CNTs/BaTiO 3 /PVDF nanocomposites. Journal of Composite Materials, 53(10), 1319–1328. https://doi.org/10.1177/0021998318800796

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