评估团聚碳纳米管在聚合物纳米复合材料有效性能中的作用:基于微观力学的高效有限元框架

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
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引用次数: 0

摘要

碳纳米管(CNTs)的团聚是指其形成团簇的趋势,这是一种不可避免的现象,会明显影响复合材料/纳米复合材料的性能。理解和管理团聚现象对于定制纳米复合材料的有效性能至关重要,尤其是使用高浓度纳米填料增强的纳米复合材料。将这种反常现象纳入数值模拟可以大大节省成本和时间,同时还能为这一奇迹提供宝贵的见解。这项开创性的研究为更真实地模拟 CNT 负载聚合物纳米复合材料探索了一条大有可为的途径。在本微观力学基础有限元模型中,通过三步随机迭代过程巧妙地生成了包含 CNT 团聚体的代表性体积元素(RVE)。随后,这些 RVE 将在常见的工程场景下接受挑战,包括弹性、热弹性和粘弹性等方面。在这种情况下,通过评估与每个特性相关的构成方程,可以精确确定边界和加载条件。通过与现有的实验测量结果进行比较,证明要对杨氏模量、热膨胀系数和蠕变应变进行权威预测,就必须对具有团聚碳纳米管的构件进行模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating the role of agglomerated carbon nanotubes in the effective properties of polymer nanocomposites: An efficient micromechanics-based finite element framework

Evaluating the role of agglomerated carbon nanotubes in the effective properties of polymer nanocomposites: An efficient micromechanics-based finite element framework

Agglomeration of carbon nanotubes (CNTs) refers to their tendency to form clusters, an inevitable phenomenon that markedly influences the performance of composite/nanocomposite materials. Comprehending and managing agglomeration are crucial for tailoring the effective properties of nanocomposites, especially those reinforced with high concentrations of nanofillers. Incorporating this anomaly in numerical simulations can yield significant cost and time savings, while also providing valuable insights into this marvel. This pioneering study explores a promising avenue for a more realistic simulation of CNT-loaded polymer nanocomposites. In the present micromechanics-grounded finite element model, representative volume elements (RVEs) containing CNT agglomerates are ingeniously generated in a three-step stochastic-iterative process. These RVEs are subsequently challenged under commonly encountered engineering scenarios, encompassing elastic, thermoelastic, and viscoelastic aspects. In this case, the precise determination of boundary and loading conditions is accomplished by assessing the constitutive equations associated with each characteristic. Through comparison with available experimental measurements, it has been demonstrated that authoritative prediction of Young’s moduli, thermal expansion coefficients, and creep strains necessitates the simulation of building blocks with agglomerated CNTs.

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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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