波纹度
压阻效应
纳米复合材料
碳纳米管
材料科学
体积分数
炭黑
复合材料
渗流阈值
渗透(认知心理学)
纵横比(航空)
标度系数
电阻率和电导率
纳米技术
制作
医学
天然橡胶
替代医学
工程类
病理
神经科学
电气工程
生物
作者
Mojtaba Haghgoo,R. Ansari,Mohammad Kazem Hassanzadeh-Aghdam,Sung‐Hwan Jang,Mohammad Nankali
标识
DOI:10.1016/j.compositesa.2023.107711
摘要
An analytical model is developed to predict the piezoresistive sensitivity of nanocomposite strain sensors considering physical properties of carbon nanotubes (CNTs) and carbon blacks (CBs) such as the orientation state, aspect ratio, waviness factor, and agglomeration. A Monte Carlo simulation approach is used to disperse hybrid CNTs/CBs into the matrix. The percolation model is used to introduce the percolation phenomenon into the nanocomposites. Afterward, the piezoresistive property of hybrid nanocomposites is determined using updated fillers’ positions after a stretch in a specific direction of nanocomposites. The nanocomposite resistivity is explored as a function of nanofiller volume fraction. The verification is accomplished by comparing model results with experiments. CNTs with higher aspect ratios and lower waviness factors have a beneficial effect on the electrical properties of hybrid nanocomposites. A good combination of conductive fillers leads to a better piezoresistive response, while a further increase in CB volume fraction cannot be beneficial.
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