材料科学
碳纳米管
复合数
聚酰胺
渗流阈值
复合材料
电阻率和电导率
电导率
渗透(认知心理学)
渗流理论
气泡
纳米技术
计算机科学
电气工程
物理化学
神经科学
并行计算
化学
工程类
生物
作者
Gu-Hyeok Kang,Myung-Soo Kim,Hyung Wook Park
标识
DOI:10.1016/j.polymertesting.2023.108138
摘要
The study suggests that GB-CNT/PA6 multiscale hybrid composite can be used to create a network structure with controllable electrical conductivity, making it a promising material for various practical applications. The paper introduces a new method for controlling electrical conductivity of composite materials by creating a segregated network morphology (SNM) using a glass bubble (GB)-carbon nanotube (CNT)/polyamide 6 (PA6) multiscale hybrid composite. Instead of relying solely on CNTs, the addition of GB allows for a more economical process by reducing the required CNT concentration to achieve the desired electrical conductivity. The paper also analyzes the effects of varying GB and CNT content on electrical conductivity based on percolation theory. The results demonstrate an 18.8 times increase in electrical conductivity with the SNM approach. The study proposes that this approach could be used to create composite materials with controllable electrical conductivity, making them suitable for various applications.
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