石墨
炭黑
渗透(认知心理学)
复合材料
渗流理论
电导率
材料科学
渗流阈值
碳纤维
电阻率和电导率
复合数
物理
电气工程
工程类
生物
神经科学
天然橡胶
量子力学
作者
Yu Feng,Senlin Hou,Cong Wu,Hui Sun,Meng Chen,Guanglie Zhang,Wen J. Li
标识
DOI:10.1109/nsens62142.2024.10561336
摘要
Conductive polymers, particularly carbon-based ones like carbon black and graphite, have gained attention for their unique electrical and mechanical properties. Carbon black, with its high conductivity and excellent electron transport, is a cost-effective additive that improves the overall conductivity of composites. Graphite, known for its conductivity and mechanical stability, offers extended electron movement and durability. These advantages make carbon-based conductive polymers suitable for flexible sensors. In this study, we optimize the properties of carbon black and graphite using percolation theory by manipulating the concentration and arrangement of conductive fillers. Simulations indicate that incorporating graphite enhances the conductivity of carbon black, enabling the theoretical analysis of high-performance flexible sensors. This research paves a pathway for the manufacture of flexible carbon-based sensors with superior electronic properties.
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