Characterization of a polyvinylidene fluoride (PVDF) nanofiber film coated with carbon nanotubes (CNTs) on a polyimide substrate by integrated experimental measurements and computational analysis

Abstract

AbstractIn this work, a strain sensor was fabricated using conductive electrospun polyvinylidene fluoride (PVDF) nanofiber film coated with carbon nanotubes (CNTs) on a polyimide (PI) substrate. An investigation of the sensor’s properties during stretching and relaxation under varying experimental conditions was undertaken. The morphologies of the sensing films were examined to gain an understanding of their structure. The experimental design was complemented by simulation to optimize the shape and size of the substrate to ensure uniform and consistent straining under loading conditions. The insight derived from the computational analysis played an instrumental role in selecting the appropriate substrate design and determining the ideal location for placing the PVDF/CNTs sensing film. The difference in the deformation value of the substrate with the selected design during the computational and experimental analysis was 17.5%. An integrated approach, combining both experimental and computational methodologies, was used to significantly enhance the study’s value and facilitate the development of an efficient and effective strain sensor. The sensor displayed a gauge factor (GF) of 1.83 and 1.19 under the incremental loads of 0.98 and 1.96 N, respectively. In conclusion, this study contributes to an improved understanding of the strain sensor’s characteristics and potential applications in structural health monitoring technologies.Keywords: Carbon nanotubes (CNTs)polyimide (PI) substratepolyvinylidene fluoride (PVDF) AcknowledgmentsThe authors also thank the anonymous reviewers, along with the editors, for providing useful comments, which greatly improved the manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the SEED grant bearing no. I/SEED/SDS/20200079 and IGSTC WISER grant bearing no. IGSTC/WISER 2022/SS/44/2022-23.