Effect of interfacial debonding on stress transfer in graphene reinforced polymer nanocomposites

Heidarhaei, Meghdad; Shariati, Mahmoud; Eipakchi, HR

doi:10.1177/1056789517724857

Cited by 17 publications

(7 citation statements)

References 33 publications

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“…Figure 7 shows the RVE models as single and randomly distributed graphene/epoxy nanocomposites. The outputs of the developing algorithm in this study are applied to the RVE model in Figure 7 Since the study from the litreture (Heidarhaei et al, 2020) was considered, neat, 0.1 and 0.2 wt% graphene/epoxy nanocomposites were modelled using RVE technique. Experimental results were compared with two different numerical models as single and randomly distributed graphene nanocomposites.…”

Section: Resultsmentioning

confidence: 99%

Developing Algorithm for Random Distribution of Nanomaterials

Caliskan¹

2021

European Journal of Science and Technology

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In this study, a new algorithm was developed for the random distribution of the nanomaterials in the polymer matrix to model realistic behavior of polymer nanocomposites. The study focused on the development of this algorithm rather than the modeling of nanocomposites as a finite element method. The multi-scale method with a representative volume element (RVE) is generally used for numerical modeling of nanomaterials and polymer nanocomposites. The researchers investigate the effect of the reinforcement material and the reinforcement mechanism has not been fully explained both numerically and experimentally. The success of numerical studies is also very important to specify the effect of reinforcement mechanism in experimental studies. For this reason, an algorithm was developed to model the realistic distribution of nanomaterials in the polymer matrix and adapted to numerical studies. The algorithm provided that materials of desired geometric dimensions were randomly positioned within a control volume and did not intersect with each other and the control volume. The algorithm was developed using the Python programming language and the positions of the nanomaterials were transferred to the ABAQUS finite element program using scripting language. Graphene was used as a nanomaterial and epoxy was used as a polymer matrix. Randomly distributed RVE models gave more successful results than single element RVE models. It shows a good agreement with experimental results.

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Section: Resultsmentioning

confidence: 99%

Developing Algorithm for Random Distribution of Nanomaterials

Caliskan¹

2021

European Journal of Science and Technology

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“…In the case of a mode I fracture, which has been shown not to be a predominant mechanism [18,19], we have used the following para meters, extracted from the mentioned works:…”

Section: Results and Discussion Influence Of Angular Distortions And mentioning

confidence: 99%

“…In the same fashion as other authors [18,19], we consider mode II as predominant. We use the same stiffness value for the in plane and out of plane stiffnesses.…”

Section: Model Descriptionmentioning

confidence: 99%

Effect of transverse strains and angular distortions on the nanoscale elastic behavior of platelet nanocomposites

Zapico

Muñoz-Guijosa

Río

et al. 2018

Composites Part B: Engineering

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“…The damage evolution in fibrous composites mainly includes pull-out of fibers (Bechel and Sottos, 1998;Jiang et al, 2018;Lin et al, 2001;Park et al, 2017;Tsai and Kim, 1996), crack propagation in matrix and fracture of fibers (Brinson, 1999;Jin et al, 2017;Kumar and Talreja, 2003;Mihai et al, 2016;Okabe et al, 2017;Vorobiev et al, 2017;Voyiadjis and Deliktas, 2000;Wu and Ohno, 1999), and interfacial debonding (Caiazzo and Costanzo, 2000;Han et al, 2001;Harik and Cairncross, 2000;Heidarhaei et al, 2017;Li, 2018;Nedjar, 2014;Pupurs and Varna, 2015;Zhang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Damage evolution in fibrous composites caused by interfacial debonding

Yang

Chen

Huang

2019

International Journal of Damage Mechanics

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Interfacial debonding between fibers and matrix is one of the dominant damage types in fibrous composites. This paper investigates weakening effect due to the interfacial debonding. For simplification, the fibers are assumed to be rigid since the modulii and strength of fibers are much greater than those of matrix, and the distribution of the radii of fibers is assumed to obey the logarithmic normal distribution. The matrix is assumed to be a viscoelastic material. The boundary of the composite is subjected to transverse loading condition, the direction of which is perpendicular to that of fibers. The interfacial debonding between fibers and matrix is analyzed by the energy criterion, and the evolution formula of nucleated porosity due to the debonding is derived by the statistical approach. A newly defined volume average method is proposed to establish the macroscopic constitutive relation of the composites. The effect of the material parameters of matrix, as well as the size of fibers on the critical stress for the interfacial debonding and damage evolution are discussed in detail. The results obtained in this paper indicate that the macroscopic strain rate, the dispersion degree of the fiber's radii, the adhesive energy at the interface, and loading condition play key roles in the overall mechanical properties of the composites.

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Effect of interfacial debonding on stress transfer in graphene reinforced polymer nanocomposites

Cited by 17 publications

References 33 publications

Developing Algorithm for Random Distribution of Nanomaterials

Developing Algorithm for Random Distribution of Nanomaterials

Effect of transverse strains and angular distortions on the nanoscale elastic behavior of platelet nanocomposites

Damage evolution in fibrous composites caused by interfacial debonding

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