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Effect of CNT Waviness on the Elastic Modulus of Carbon Nanotube Reinforced Polymer Composites

机译:碳纳米管波纹度对碳纳米管增强聚合物复合材料弹性模量的影响

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Carbon nanotubes (CNTs) are the filler materials of nanoscale dimensions, whichwhen added to the polymer matrix, form a strong yet light-weight multifunctionalcomposite materials. Before using them effectively and confidently in the aerospaceindustry, it is important to completely determine their mechanical properties. Previousstudies found these properties to be significantly influenced by the waviness of CNTsembedded in the epoxy matrix.In this study, we have developed a unique Python algorithm that is employed toconstruct the stochastic three-dimensional finite element models, which incorporates theCNT waviness as a variable. Random normal and uniform random distributions areassumed for waviness and orientation angles of the dispersed CNTs, respectively. Fourseparate finite element models with maximum CNT waviness angles of 0°, 25°, & 50°are generated for CNT volume fraction of 0.5%. Thereafter, the elastic constants areevaluated and compared for each case.A significant decrease in the properties is observed as the maximum allowablewaviness angle of the embedded CNTs in the epoxy is increased. These results suggestthat CNT waviness plays a key role in deciding the elastic properties of the CNT basedcomposites.
机译:碳纳米管(CNTs)是纳米级的填充材料, 当添加到聚合物基质中时,形成坚固而轻巧的多功能 复合材料。在航空航天中有效而自信地使用它们之前 工业上,重要的是要完全确定它们的机械性能。以前的 研究发现,这些性质会受到CNT的波纹度的显着影响 嵌入环氧树脂基质中。 在这项研究中,我们开发了一种独特的Python算法,该算法可用于 构造随机的三维有限元模型,其中包括 CNT波纹度作为变量。随机正态分布和均匀随机分布为 假设分别针对分散的CNT的波纹度和取向角。四个 单独的有限元模型,最大CNT波纹角为0°,25°和50° 对于0.5%的CNT体积分数,产生了碳纳米管。此后,弹性常数为 对每种情况进行评估和比较。 观察到性能的最大降低是最大允许值 环氧树脂中嵌入的CNT的波纹度角增加。这些结果表明 碳纳米管的波纹度在决定碳纳米管的弹性性能方面起着关键作用 复合材料。

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