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A comprehensive micromechanical modeling or electro-thermo-mechanical behaviors of CNT reinforced smart nanocomposites

机译:碳纳米管增强智能纳米复合材料的全面微力学建模或电热力学行为

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摘要

Abstract Electro-thermo-elastic properties of CNT reinforced smart nanocomposites are predicted by a micromechanical method newly developed for piezoelectric and dielectric effects in the present study. The CNT is replaced by an effective rigorous carbon fiber and interphase demonstrating the van der Waals interactions. The CNTs regular and random arrangement within the matrix are taken into account. CNT reinforced PVDF (CNTRPVDF) nanocomposite is considered. Validation of the presented method is carried out by available experimental and theoretical studies. The effects of interphase thickness and Young's modulus, CNT volume fraction (CNTVF), orientation and aspect ratio on the effective properties of CNTRPVDF are examined. Results show that difference between random and square packing are negligible for the thermo-elastic properties while the difference is more pronounced for the piezoelectric properties. It is found that interphase region has a significant influence on the effective properties. Whereas, its influence on longitudinal properties is much greater than transverse properties. The orientation of CNTs plays an important role in the effective properties. An optimum CNT angle for maximum value of any property is reported. The results also state that the short CNTs with aspect ratios more than 100 can be treated as long CNTs for most of the properties. Graphical abstract Display Omitted Highlights Electro-thermo-elastic properties of CNT reinforced piezo-polymeric smart nanocomposites are predicted by a micromechanical method and validated by experimental data. The effects of interphase thickness, interphase Young’s modulus, CNT volume fraction, orientation and aspect ratio on the effective longitudinal and shear moduli, Poisson’s ratio, coefficient of thermal expansion, dielectric and piezoelectric properties of CNT reinforced polyvinylidene fluoride (PVDF) are studied in both of the CNT square regular and random arrangement within the matrix. In the studied smart nanocomposite system, the difference between the square packing and random distribution are negligible for thermo-elastic properties, while the difference is more pronounced for piezoelectric properties due to the PVDF polarization direction. An optimum CNT orientation angle to obtain maximum value for any properties is reported. Short CNTs with aspect ratios more than 100 can be treated as long CNTs and one can use the related long CNT reinforced NCs theories.
机译: 摘要 碳纳米管增强的智能纳米复合材料的电热弹性性质是通过本研究中新开发的用于压电和介电效应的微机械方法预测的。碳纳米管被有效的严格碳纤维所取代,并表现出范德华相互作用。考虑到CNT在矩阵内的规则和随机排列。考虑了CNT增强的PVDF(CNTRPVDF)纳米复合材料。通过现有的实验和理论研究对提出的方法进行了验证。研究了相间厚度和杨氏模量,CNT体积分数(CNTVF),取向和长宽比对CNTRPVDF有效性能的影响。结果表明,无规填充和方填充之间的差异对于热弹性性能而言可以忽略不计,而对于压电性能而言差异则更为明显。发现相间区域对有效性能具有显着影响。然而,其对纵向性能的影响远大于横向性能。 CNT的取向在有效性能中起重要作用。报告了对于任何性质的最大值而言的最佳CNT角度。结果还表明,对于大多数属性而言,长宽比大于100的短CNT可以视为长CNT。 图形摘要 省略显示 突出显示 电热弹性通过微机械方法预测并增强了CNT增强的压电聚合物智能纳米复合材料的性能。 相间厚度,相间杨氏模量,CNT体积分数,取向和长宽比对有效纵向和剪切模量的影响,研究了碳纳米管增强的聚偏二氟乙烯(PVDF)的泊松比,热膨胀系数,介电性能和压电性能,均以碳纳米管正方形规则排列和无规排列的形式存在。 在研究的智能纳米复合材料系统中,对于热弹性性质,正方形堆积和随机分布之间的差异可忽略不计,而由于PVDF极化方向,压电性能的差异更加明显。 报告了获取任何属性最大值的最佳CNT取向角。 长宽比大于100的短CNT可被视为长CNT可以使用相关的长CNT增强长形NCs理论。 < / ce:simple-para>

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