Prediction of the elastic modulus of LLDPE/CNT nanocomposites by analytical modeling and finite element analysis

Charitos, Ilias; Drougkas, Anastasios; Kontou, E.

doi:10.1016/j.mtcomm.2020.101070

Cited by 6 publications

(1 citation statement)

References 40 publications

(74 reference statements)

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“…These methods consist of simulating a set of virtual tests on a representative volume element (RVE) of the microstructure discretized using numerical simulation approaches such as the finite element (FEM) or the boundary element method (BEM) [36,37]. In this context, it is noteworthy to mention the contribution made by Charitos and co-authors [38] who evaluated the effective elastic properties of CNT/polymer nanocomposites by direct 3D FEM. This approach relies on the explicit discretization of the composite phases, requiring advanced mesh strategies and demanding FEM calculations.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical meta-modelling for fast prediction of the elastic properties of stone injected with CNT/cement mortar

Rodríguez-Romero,

Compán,

Sáez

et al. 2023

Construction and Building Materials

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Section: Introductionmentioning

confidence: 99%

Hierarchical meta-modelling for fast prediction of the elastic properties of stone injected with CNT/cement mortar

Rodríguez-Romero,

Compán,

Sáez

et al. 2023

Construction and Building Materials

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Bridging the gap: A novel approach for predicting the Young's modulus of nanodiamond polymer composites

Nematollahi,

Mohammadi,

Munir

et al. 2024

Polymer Composites

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In this study, we present a model for predicting the Young's modulus of polymer/nanodiamond (ND) composites, taking into account the interphase properties. The Christensen‐Lo model is adapted and refined to predict the modulus of ND‐based nanocomposites by considering the properties of spherical NDs and their surrounding interphase. The outcomes of the developed model are benchmarked against experimental data, exploring the impact of various parameters, such as ND radius, ND concentration, and interphase properties (thickness and modulus) on the nanocomposite modulus. Findings suggest an inverse correlation between the size of the nanoparticles and the modulus of nanocomposite. Specifically, it is observed that nanoparticles with a minimum radius of 1 nm and a maximum concentration of 5 vol% can increase the nanocomposite modulus by 180%. Additionally, maximum thickness and modulus of the interphase can significantly improve the nanocomposite modulus. The highest interphase thickness of 10 nm and maximum interphase modulus of 100 GPa can grow the modulus of samples by 300%. The predicted influences of all parameters on the nanocomposite modulus validate the accuracy of the developed model.Highlights A model for the Young's modulus of polymer nanodiamond (ND) composites is presented. ND radius, ND concentration, and interphase thickness and modulus are considered. The outcomes of the developed model are compared to the experimental data. 5 vol% of the smallest ND (R = 1 nm) increases the nanocomposite modulus by 180%. The thickest and the toughest interphase enhance the nanocomposite modulus by 300%.

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Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

Duarte

Álvarez

López

et al. 2020

Communications in Computer and Information Science

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Prediction of the elastic modulus of LLDPE/CNT nanocomposites by analytical modeling and finite element analysis

Cited by 6 publications

References 40 publications

Hierarchical meta-modelling for fast prediction of the elastic properties of stone injected with CNT/cement mortar

Hierarchical meta-modelling for fast prediction of the elastic properties of stone injected with CNT/cement mortar

Bridging the gap: A novel approach for predicting the Young's modulus of nanodiamond polymer composites

Computational Simulation of Stress Distribution in a Magnesium Matrix Composite Reinforced with Carbon Nanotubes

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