Multiscale investigation of debonding behavior in anisotropic graphene–polyethylene metamaterial nanocomposites

IF 1.9 4区工程技术 Q3 MECHANICS Continuum Mechanics and Thermodynamics Pub Date : 2024-09-09 DOI:10.1007/s00161-024-01328-x

M. Safaei, M. R. Karimi, D. Pourbandari, M. Baghani, D. George, M. Baniassadi

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Abstract

The first phase of this study aimed to validate multi-scale approaches based on Representative Volume Elements (RVEs) for graphene–polyethylene nanocomposites. stress–strain curves of experimental results were compared with numerical homogenization results. The stress amplification obtained from these simulations was used to predict GNP aspect ratios, demonstrating good agreement with permeability results. After validation of the multiscale approach, this study investigates the adhesion between nanoparticles and matrix in anisotropic GNP-HDPE metamaterial nanocomposites, emphasizing the role of the carboxyl (COOH) functional group in improving adhesion. The RVE model is used to investigate the debonding initiation and progression in these anisotropic nanocomposites under tensile and shear loading. Results indicate a variance in debonding onset and growth depending on orientation relative to the GNP axis. In tensile loading, debonding initiates at higher strains along the GNP axis than perpendicularly. Under shear loading within an anisotropic distribution, debonding behaviour varies significantly between planes perpendicular and parallel to the GNP axis. GNP surfaces with fully debonded surfaces slightly exceed 0.6% perpendicular to the GNP axis but increase to over 10.5% parallel to it.

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各向异性石墨烯-聚乙烯超材料纳米复合材料脱粘行为的多尺度研究

本研究的第一阶段旨在验证基于代表性体积元素（RVE）的石墨烯-聚乙烯纳米复合材料多尺度方法。将实验结果的应力-应变曲线与数值均质化结果进行比较。从这些模拟中获得的应力放大率被用来预测 GNP 的长宽比，结果表明与渗透性结果非常吻合。在验证了多尺度方法之后，本研究调查了各向异性 GNP-HDPE 超材料纳米复合材料中纳米粒子与基体之间的粘附性，强调了羧基 (COOH) 官能团在改善粘附性中的作用。RVE 模型用于研究这些各向异性纳米复合材料在拉伸和剪切加载下的脱粘起始和发展过程。结果表明，相对于 GNP 轴的取向不同，脱粘的开始和发展也不同。在拉伸加载时，沿 GNP 轴线方向的脱粘应变比垂直方向的脱粘应变大。在各向异性分布的剪切荷载下，垂直于和平行于 GNP 轴线的平面之间的脱粘行为差异很大。完全脱胶的 GNP 表面在垂直于 GNP 轴线时略微超过 0.6%，但在平行于 GNP 轴线时则超过 10.5%。

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来源期刊

Continuum Mechanics and Thermodynamics 物理-力学

CiteScore

5.30

自引率

15.40%

发文量

审稿时长

>12 weeks

期刊介绍： This interdisciplinary journal provides a forum for presenting new ideas in continuum and quasi-continuum modeling of systems with a large number of degrees of freedom and sufficient complexity to require thermodynamic closure. Major emphasis is placed on papers attempting to bridge the gap between discrete and continuum approaches as well as micro- and macro-scales, by means of homogenization, statistical averaging and other mathematical tools aimed at the judicial elimination of small time and length scales. The journal is particularly interested in contributions focusing on a simultaneous description of complex systems at several disparate scales. Papers presenting and explaining new experimental findings are highly encouraged. The journal welcomes numerical studies aimed at understanding the physical nature of the phenomena. Potential subjects range from boiling and turbulence to plasticity and earthquakes. Studies of fluids and solids with nonlinear and non-local interactions, multiple fields and multi-scale responses, nontrivial dissipative properties and complex dynamics are expected to have a strong presence in the pages of the journal. An incomplete list of featured topics includes: active solids and liquids, nano-scale effects and molecular structure of materials, singularities in fluid and solid mechanics, polymers, elastomers and liquid crystals, rheology, cavitation and fracture, hysteresis and friction, mechanics of solid and liquid phase transformations, composite, porous and granular media, scaling in statics and dynamics, large scale processes and geomechanics, stochastic aspects of mechanics. The journal would also like to attract papers addressing the very foundations of thermodynamics and kinetics of continuum processes. Of special interest are contributions to the emerging areas of biophysics and biomechanics of cells, bones and tissues leading to new continuum and thermodynamical models.