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CAPT 2024: Latest Innovations on Printing and Packaging Technologies Special Issue
Volume: 69 | Article ID: 030401
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Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Properties
  DOI :  10.2352/J.ImagingSci.Technol.2025.69.3.030401  Published OnlineMay 2025
Abstract
Abstract

In recent years, with the rise of printed electronics technology, printed flexible sensors have garnered widespread attention. To predict the performance of sensors before actual fabrication, in this paper, the bending strain and resistance response of the sensor’s functional layer were simulated using COMSOL Multiphysics 6.0 software, and the effects of different carbon black/graphene fill ratios on the sensor’s bending performance were explored. The simulation results indicated that resistance increases with the bending angle during the bending process, and the bending-resistance characteristics are better when the carbon black to graphene mass ratio is 2:1. Subsequently, flexible strain sensors were fabricated using screen-printing technology and their bending performance was tested. The experimental results demonstrated that the sensors have good linearity (R2 = 0.9851), favorable response and recovery times (approximately 1 and 2 s, respectively), low hysteresis (4.88%), and better cyclic stability when repeatedly bent at 020 compared to 090. The experimental results were consistent with the simulation results. This study provides a new perspective on the design of flexible strain sensors through synchronized experiments and simulations, which is expected to significantly reduce the cost of prototype development.

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Zhicong Tian, Ruien Yu, Yanan Zeng, Jingbo Hu, Haijun Gong, Xijing Zhu, "Carbon Black/Graphene Paper-based Flexible Sensors: Finite Element Simulation and Propertiesin Journal of Imaging Science and Technology,  2025,  pp 1 - 8,  https://doi.org/10.2352/J.ImagingSci.Technol.2025.69.3.030401

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Copyright © Society for Imaging Science and Technology 2025
  Article timeline 
  • received June 2024
  • accepted September 2024
  • PublishedMay 2025

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