Numerical prediction of elastic properties for carbon nanotubes reinforced composites using a multi-scale method

Parvin, Sina Alemi; Ahmed, Noor A.; Fattahi, Ashghar Mohammadpour

doi:10.1007/s00366-019-00925-8

Cited by 11 publications

(5 citation statements)

References 49 publications

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“…Pull-out simulations were then carried out using FEM to obtain the IFSS. 172 Parvin et al 190 used FEM to model the vdW interaction and calculate the longitudinal elastic modulus of CNT composites. Also, the interaction between various layers of MWCNT and the interphase between CNT and matrix was modelled using LJ equations.…”

Section: Role Of Fem In Modellingmentioning

confidence: 99%

“…Based on CNT functionalisation, different interphase bonding was considered, being covalent link for the case of functionalized CNT. The Young's modulus for interphase region of functionalized CNTs was found to be lower than normal CNT composites, lying in the range of [180][181][182][183][184][185][186][187][188][189][190][191][192][193][194][195] Crack propagation in CNT composites was studied using FEM, wherein interphase region between CNT and polymer was also modelled and vdW interactions were considered. Lattice structure of SWCNT was considered in the RVE and semi-circular crack was modelled.…”

Section: Role Of Fem In Modellingmentioning

confidence: 99%

“…Bacciocchi 233 analysed buckling loads in a 3-phase composite of CNT, polymer, and fibre addressing the influence of non-uniform distribution of fibres along the thickness on the critical buckling load. Power law function was used to define the nonuniform features, which were shown to have a significant D-0.8-15nm,L-10nm-30 µm FEM 0.9-250GPa 49,56,76,161,165,173,176,180,188,190,194,200,204,205,211,215,218,219,222,223,255,258,259,262 D-0.9-30nm,L-12.19nm-30µm, RVE scale-5-110 µm Multiscale 1-225GPa 120,161,165,188,190,200,205,207,212,215,218,219,222,223,257 impact on the buckling response of laminated flat panels. Tsai et al 234 analysed the effect of CNT buckling on CNT reinforced copper matrix composite by characterizing the composite using high-resolution transmission electron microscopy and further analysis based on MD simulations.…”

Section: Modelling Of Damage Failure and Instabilities And Interactio...mentioning

confidence: 99%

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Mechanical behaviour of carbon nanotube composites: A review of various modelling techniques

Sahu,

Harursampath,

Ponnusami

2023

Journal of Composite Materials

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This study aims to review and highlight the important modelling methodologies used for studying carbon nanotubes (CNTs) and their composites. Understanding appropriate modelling methods for specific applications is crucial as CNTs become integral in achieving lighter, multifunctional composite structures. This paper explores a range of techniques, including finite element modelling (FEM), Molecular Dynamics (MD), Molecular Structural Mechanics (MSM), as well as nonlocal models, and the Cauchy-Born (CB) rule. Emphasis is placed on factors such as interphase effects between CNTs and the matrix, bonding interactions, non-bonded van der Waals (vdW) forces, and dynamic behaviour. Multiscale modelling is extensively discussed as a pivotal approach for efficiently addressing various length scales in nanocomposites. Modelling of failure, damage and its propagation, delamination, and instabilities such as buckling and fracture have been highlighted, and research gaps have been pointed out.

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Section: Role Of Fem In Modellingmentioning

confidence: 99%

Section: Role Of Fem In Modellingmentioning

confidence: 99%

Section: Modelling Of Damage Failure and Instabilities And Interactio...mentioning

confidence: 99%

See 1 more Smart Citation

Mechanical behaviour of carbon nanotube composites: A review of various modelling techniques

Sahu,

Harursampath,

Ponnusami

2023

Journal of Composite Materials

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“…The engineering properties of composites are a combination of the properties of their constituent material along with the interaction properties of these materials. 48,49 Fibers have been applied in polymeric composites as a reinforcement agent. Therefore, sufficient knowledge on the mechanical properties of fibers under various conditions is of great importance.…”

Section: The Effect Of Loading Rate On the Mechanical Behavior Of Gla...mentioning

confidence: 99%

An extensive study on strain dependence of glass fiber-reinforced polymer-based composites

Farazin

Khan

2021

The Journal of Strain Analysis for Engineering Design

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Fiber-reinforced polymer-based composites may experience various strain rates under different dynamic loads. As the mechanical behavior of these composites varies with strain rate, their response will be dependent on the strain rate. This paper presents a comprehensive review on glass fibers and composites reinforced with these fibers, as the most practical polymer-based composite, under dynamic loading. First, the properties of long glass fibers under different strain rates will be reviewed in detail. In the following, experimental studies on the effects of strain rate on various types of glass fiber-reinforced polymer-based composites will be categorized and presented. The behavior of thermoset polymers will be also addressed under different strain rates. Finally, various analytical and numerical macromechanical and micromechanical models will be comprehensively described for this type of composites.

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“…We recommend the following articles [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 ] to interested readers. There is a wide range of applications of such molecular & materials modeling methods, at different scales, to study drug design, biological processes, wastewater treatment, enhanced oil recovery, concrete admixtures, rational design of carbon nano-sheets, lithium-ion batteries, and fuel cells, to name a few [ 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 ].…”

Section: Introductionmentioning

confidence: 99%

Molecular Modeling in Anion Exchange Membrane Research: A Brief Review of Recent Applications

et al. 2022

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Anion Exchange Membrane (AEM) fuel cells have attracted growing interest, due to their encouraging advantages, including high power density and relatively low cost. AEM is a polymer matrix, which conducts hydroxide (OH−) ions, prevents physical contact of electrodes, and has positively charged head groups (mainly quaternary ammonium (QA) groups), covalently bound to the polymer backbone. The chemical instability of the quaternary ammonium (QA)-based head groups, at alkaline pH and elevated temperature, is a significant threshold in AEMFC technology. This review work aims to introduce recent studies on the chemical stability of various QA-based head groups and transportation of OH− ions in AEMFC, via modeling and simulation techniques, at different scales. It starts by introducing the fundamental theories behind AEM-based fuel-cell technology. In the main body of this review, we present selected computational studies that deal with the effects of various parameters on AEMs, via a variety of multi-length and multi-time-scale modeling and simulation methods. Such methods include electronic structure calculations via the quantum Density Functional Theory (DFT), ab initio, classical all-atom Molecular Dynamics (MD) simulations, and coarse-grained MD simulations. The explored processing and structural parameters include temperature, hydration levels, several QA-based head groups, various types of QA-based head groups and backbones, etc. Nowadays, many methods and software packages for molecular and materials modeling are available. Applications of such methods may help to understand the transportation mechanisms of OH− ions, the chemical stability of functional head groups, and many other relevant properties, leading to a performance-based molecular and structure design as well as, ultimately, improved AEM-based fuel cell performances. This contribution aims to introduce those molecular modeling methods and their recent applications to the AEM-based fuel cells research community.

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Numerical prediction of elastic properties for carbon nanotubes reinforced composites using a multi-scale method

Cited by 11 publications

References 49 publications

Mechanical behaviour of carbon nanotube composites: A review of various modelling techniques

Mechanical behaviour of carbon nanotube composites: A review of various modelling techniques

An extensive study on strain dependence of glass fiber-reinforced polymer-based composites

Molecular Modeling in Anion Exchange Membrane Research: A Brief Review of Recent Applications

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