Evaluation of effective properties for smart graphene reinforced nanocomposite materials

Shingare, K.B.; Gupta, Madhur; Kundalwal, S. I.

doi:10.1016/j.matpr.2019.05.399

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…They have also carried out static and dynamic characteristic including sensitivity and frequency analysis of laminated composite and FG material by using probabilistic and non-probabilistic uncertainty quantification approach. Recently, Kundalwal and co-authors [10,[33][34][35] studied the electromechanical response of graphene-based nanocomposite (GNC) and its different structural elements, such as beam, plate, wire and shell, by incorporating piezoelectric graphene nanofiber in polyimide matrix. They predicted the overall effective properties of GNC, using analytical and numerical models.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructures

Shingare

Naskar

2021

J. Compos. Sci.

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Owing to their applications in devices such as in electromechanical sensors, actuators and nanogenerators, the consideration of size-dependent properties in the electromechanical response of composites is of great importance. In this study, a closed-form solution based on the linear piezoelectricity, Kirchhoff’s plate theory and Navier’s solution was developed, to envisage the electromechanical behaviors of hybrid graphene-reinforced piezoelectric composite (GRPC) plates, considering the flexoelectric effect. The governing equations and respective boundary conditions were obtained, using Hamilton’s variational principle for achieving static deflection and resonant frequency. Moreover, the different parameters considering aspect ratio, thickness of plate, different loadings (inline, point, uniformly distributed load (UDL), uniformly varying load (UVL)), the combination of different volume fraction of graphene and piezoelectric lead zirconate titanate are considered to attain the desired bending deflection and frequency response of GRPC. Different mode shapes and flexoelectric coefficients are also considered and the results reveal that the proper addition of graphene percentage and flexoelectric effect on the static and dynamic responses of GRPC plate is substantial. The obtained results expose that the flexoelectric effect on the piezoelastic response of the bending of nanocomposite plates are worth paying attention to, in order to develop a nanoelectromechanical system (NEMS). Our fundamental study sheds the possibility of evolving lightweight and high-performance NEMS applications over the existing piezoelectric materials.

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Section: Introductionmentioning

confidence: 99%

“…From Equation (35), it is obvious that the bending rigidity of plate is substantially influenced by effect of flexoelectricity and thickness of plate.…”

mentioning

confidence: 99%

Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructures

Shingare

Naskar

2021

J. Compos. Sci.

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“…Shingare & Kundalwal (2019) used MOM in conjunction with Kirchhoff's plate theory, Navier's solution and extended linear piezoelectricity theory to study the electromechanical behavior of graphene reinforced nano-composite (GRNC) plates with flexoelectric effect. In a similar fashion, a MOM model was developed (Shingare et al, 2020) to predict the effective properties of GRNC plates subjected to electromechanical loading, obtaining similar results regarding Finite Element Method (FEM) simulations when load is applied along the longitudinal direction. The three-phase MOM was used by Rathi & Kundalwal, (2020) to predict the effective elastic properties of MWCNT reinforced polymer matrix composites with a fiber-matrix interphase enhanced with zirconium dioxide, evaluating the improvement of the fracture strength and toughness.…”

Section: 𝛽 = 4𝐺mentioning

confidence: 99%

Mori-Tanaka-based statistical methodology to compute the effective Young modulus of polymer matrix nano-composites considering the experimental quantification of nanotubes dispersion and alignment degree

Patiño¹,

Isaza²

2022

10.5267/j.esm

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This paper presents a Mori-Tanaka-based statistical methodology to predict the effective Young modulus of carbon nanotubes (CNTs)-reinforced composites considering three variables: weight content, reinforcement dispersion and orientation. Last two variables are quantified by two parameters, namely, free-path distance between nano-reinforcements and orientation angle regarding the loading direction. To validate the present methodology, samples of multi-walled CNTs (MWCNTs)-reinforced polyvinyl alcohol (PVA)-matrix composite were manufactured by mixing solution. The MWCNT/PVA Young modulus was measured by nano-indentation, while the MWCNTs Young modulus was quantified by micro-Raman spectroscopy. Both stretched and unstretched composite specimens were fabricated. Transmission electron microscopy (TEM) and in-plane image analysis were used to obtain fitting coefficients of log-normal frequency distribution functions for the free-path distance and orientation angle. It was evidenced that numerical results fit well to measured values of effective Young modulus of MWCNTs and MWCNT/PVA, with exception of some particular cases where significant differences were found. Microstructural heterogeneities, cluster formation, polymer chains alignment, errors associated with the dispersion, orientation and mechanical characterization procedures, as well as idealization and statistical errors, were identified as possible causes of these differences. Finally, using the proposed methodology and the dispersion and orientation distribution functions experimentally obtained, the effective Young modulus is estimated for three kinds of thermoplastic matrices (polyvinyl alcohol, polyethylene ketone, and ultra-high molecular weight polyethylene) with different kinds of nanotubes (single wall, double wall, and multi-walled), at different weight contents, finding the superior mechanical performance for double-walled CNTs-reinforced composites and the lower one for multi-walled CNTs-reinforced ones.

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“…They showed the enhancement in the active damping property of the smart structures, which caused a reduction in respective vibrations. Most recently, a graphene-based PZC was also being studied by Shingare et al [23][24][25][26] They predicted electromechanical properties of the graphene-based nanocomposites with micromechanical model based on the mechanics of materials (MOM), 27 modified strength of materials and finite element (FE) approach. Their results showed enhanced out-ofplane piezoelectric constant (e 33 ) as compared to inplane piezoelectric constant (e 31 ); the similar trend was also observed by Ray and Batra team.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling and analysis of smart carbon nanotube-based hybrid composite beams: Analytical and finite element study

Gupta

Ray

Patil

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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In this work, the carbon nanotube-based hybrid carbon fibre-reinforced composite smart beam constraining the layer of an active constrained layer damping treatment is investigated using an in-house finite element model based on first-order shear deformation theory. The effect of in-plane and transverse-plane actuation of the integrated active constrained layer damping treatment layer on the damping characteristics of the novel smart cantilever hybrid carbon fibre-reinforced composite beam is considered. The parameters affecting the damping characteristics of the hybrid carbon fibre-reinforced composite substrate beam such as the volume fraction of both carbon nanotubes and carbon fibre, and the aspect ratio are also studied. Besides, the micromechanical model based on the mechanics of materials approach is developed to estimate the effective elastic coefficient of novel hybrid carbon fibre-reinforced composite lamina. The effective properties of hybrid carbon fibre-reinforced composite are predicted quantitatively by considering non-bonded interaction formed between carbon nanotubes and the polymer matrix. It is revealed that due to the incorporation of carbon nanotubes into the epoxy matrix, the effective longitudinal, transverse and shear properties of the hybrid carbon fibre-reinforced composite lamina are significantly enhanced. Our outcomes explore that the damping performance of the laminated hybrid carbon fibre-reinforced composite smart beam considering the incorporation of carbon nanotubes shows substantial improvement as compared to the base composite. To bring more clarity, the quantitative relative performance of hybrid carbon fibre-reinforced composite and base composite is presented. Our fundamental analysis sheds the light on the opportunities of developing efficient, high-performance and lightweight carbon nanotubes-based micro-electro-mechanical systems smart structures such as sensors, actuators and distributors.

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Evaluation of effective properties for smart graphene reinforced nanocomposite materials

Cited by 10 publications

References 15 publications

Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructures

Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructures

Mori-Tanaka-based statistical methodology to compute the effective Young modulus of polymer matrix nano-composites considering the experimental quantification of nanotubes dispersion and alignment degree

Dynamic modelling and analysis of smart carbon nanotube-based hybrid composite beams: Analytical and finite element study

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