Volume Fraction Of Graphene Research Articles

From nano to macro in graphene-polymer nanocomposites: A new methodology for conductivity prediction

A two-step approach is proposed to forecast the conductivity of graphene polymer composites using simple models reflecting the tunneling mechanism and interphase part. Firstly, graphene and the adjacent interphase are presumed as figurative particles, and their conductivity is estimated. In the second stage, the conductivity of the nanocomposite containing figurative particles is predicted, considering the tunneling size between adjacent particles. The advanced methodology is used to forecast the conductivity for real examples. Additionally, the implications of all terms on the nanocomposite conductivity are assessed and explained. The estimations of conductivity acceptably agree with the measured data, which justifies the predictability of the suggested methodology. Thick interphase and short tunnels produce desirable conductivity, because they positively influence the net dimensions and tunneling resistance. Among the studied parameters, the thicknesses of graphene nanosheets and interphase have the highest impacts on the nanocomposite conductivity. The highest conductivity of nanocomposite as 7 S/m is obtained by the thickest interphase (ti = 10 nm) and the thinnest nanosheets (t = 1 nm), while t > 2 nm or ti < 5.5 nm cannot improve the conductivity. Furthermore, graphene volume fraction of 0.03 with the graphene diameter of 4 μm maximizes the nanocomposite conductivity to 3 S/m, but less filler amount and shorter nanosheets weaken the conductivity of nanocomposites.

Highly efficient and responsive thin heaters based on CVD graphene/polyetherimide nanolaminates for next-gen thermal management applications

Graphene, with its superior physical properties, has been considered as the perfect candidate for the production of lightweight, high-strength composite materials with interesting multi-functionalities. The use of large-sized, high-quality CVD graphene monolayers alternated to ultra-thin polymer films in a laminate configuration has been recently proposed as an efficient route to overcome many of the limitations faced by the use of discontinuous sheets of graphene in nanocomposites. Here we report on the production of CVD graphene/polyetherimide (Gr/PEI) nanolaminates with very low graphene volume fractions (up to 0.165 vol%), using a modified iterative and automatic lift-off/float-on procedure. The produced freestanding Gr/PEI nanolaminates present not only a significant enhancement of mechanical and electrical properties but, very interestingly, show impressive Joule heating efficiency. In fact, upon the application of an electrical potential, they can reach temperatures higher than 250 °C, with heating rates up to 325 °C/s. The produced heaters show a very uniform distribution of the temperature even when bend and are characterized by low power consumptions (up to 16 Watt) and high areal power densities (up to ca. ∼1.28 W/cm2), thus suggesting their possible application in thermal management.

A new investigation on graphene-reinforced 304L nanocomposite made by additive manufacturing process: Microstructure and tribology study

In this study, selective laser melting (SLM), as an additive manufacturing method, was applied to produce graphene/304L nanocomposites with various graphene particle sizes and contents. The effect of the graphene particle size (1 μm and 50 nm) and volume fraction on the microstructure behaviors, constitutional phases, mechanical performance, and wear characteristics of the SLM-processed nanocomposite specimens was studied. It was concluded that the reinforcing particle content and size play a remarkable impact on the densification features and the densification level improvs when the fine starting reinforcing particles are used, due to the development of the reinforcement–matrix wettability. In addition, the microstructure refinement and increased hardness values occurred in the SLM-processed nanocomposite system with the addition of reinforcing particles (both sizes). The wear examination indicated that the coefficient of friction (COF), wear rate, and mass loss decreased due to the reinforcement prominent effect, namely grain refinement and grain-boundary strengthening. According to surface topography analysis, the depth of the groove in the processed sample made by fine graphene reinforcement is lower than the other sample.

Influences of defective interphase and contact region among nanosheets on the electrical conductivity of polymer graphene nanocomposites

In the current article, a defective interface is characterized by “Dc,” representing the smallest diameter of nanosheets crucial for effective conduction transfer from the conductive filler to the medium, and by “ψ” as interfacial conduction. These parameters define the effective aspect ratio and operational volume fraction of graphene in the samples. The resistances of the graphene and polymer layer in contact zones are also considered to determine the contact resistance between adjacent nanosheets. Subsequently, a model for the tunneling conductivity of composites is proposed based on these concepts. This innovative model is validated by experimental data. Additionally, the effects of various factors on the conductivity of the composites and contact resistance are analyzed. Certain parameters such as filler concentration, graphene conductivity, interfacial conduction, and “Dc” do not affect the contact resistance due to the superconductivity of the nanosheets. However, factors like thin and large nanosheets, short tunneling distance (d), high interfacial conduction (ψ), low “Dc,” and low tunnel resistivity (ρ) contribute to increased conductivity in nanocomposites. The maximum conductivity of 0.09 is obtained at d = 2 nm and ψ = 900 S/m, but d > 6 nm and ψ < 200 S/m produce an insulated sample. Additionally, the highest conductivity of 0.11 S/m is achieved with Dc = 100 nm and ρ = 100 Ω m, whereas the conductivity approaches 0 at Dc = 500 nm and ρ = 600 Ω m.

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

This numerical investigation explores the enhanced control of the 3D natural convection (NC) within a cubic cavity filled with graphene–water nanofluids, utilizing a bottom-center-located tree-shaped obstacle and a horizontal magnetic field (MF). The analysis includes the effects of the Rayleigh number (Ra), the solid volume fraction of graphene (φ), the Hartmann number (Ha), and the fins’ length (W). The results show complex flow patterns and thermal behavior within the cavity, indicating the interactive effects of nanofluid properties, the tree-shaped obstacle, and magnetic field effects. The MHD effects reduce the convection, while the addition of graphene improves the thermal conductivity of the fluid, which enhances the heat transfer observed with increasing Rayleigh numbers. The increase in the fins’ length on the heat transfer efficiency is found to be slightly negative, which is attributed to the complex interplay between the enhanced heat transfer surface area and fluid flow disruption. This study presents an original combination of non-destructive methods (magnetic field) and a destructive method (tree-shaped obstacle) for the control of the fluid flow and heat transfer characteristics in a 3D cavity filled with graphene–water nanofluids. In addition, it provides valuable information for optimizing heat transfer control strategies, with applications in electronic cooling, renewable energy systems, and advanced thermal management solutions. The application of a magnetic field was found to reduce the maximum velocity and total entropy generation by about 82% and 76%, respectively. The addition of graphene nanoparticles was found to reduce the maximum velocity by about 5.5% without the magnetic field and to increase it by 1.12% for Ha = 100. Varying the obstacles’ length from W = 0.2 to W = 0.8 led to a reduction in velocity by about 23.6%.

A plate containing a central rectangular hole made of PMMA resin and reinforced with graphene particles: low-velocity impact analysis

Purpose Due to the important and extensive use of graphene in the engineering structures, the purpose of this paper is to investigate the low-velocity impact (LVI) response of a graphene-reinforced plate with a rectangular central hole. Design/methodology/approach In this paper, Halpin-Tsai theory is used to model the mechanical properties of the plate made of polymethyl methacrylate (PMMA) resin and graphene particles. First, the plate displacement field is presented, and then the strains and stresses are obtained. The motion equations are extracted using energy equations, Ritz method and generalized Lagrange equations. The verification of theoretical formulation shall be carried out using the ABAQUS finite element software suite. Findings The effects of graphene volume fraction, approaching the impact point to the corner of the rectangular plate, and different boundary conditions of the plate are studied for LVI of impactor with spherical tip on the rectangular central hole reinforced by graphene. Important responses of the impact, such as the contact force between the impactor and the plate as well as the displacement of the plate at the impact place, are investigated and analyzed in this research. Originality/value Considering the wide application of graphene in the engineering structures, the simulation of the LVI on the graphene-reinforced plate made of PMMA resin with a rectangular central hole is carried out in this paper using numerical and theoretical modeling.

A novel prediction method for nanoplatelets content dependent yield strength of graphene nanoplatelets reinforced metal matrix composites at different temperatures

Especially, the quantitative relationship between the thickness and volume fraction of graphene and the grain size of graphene nanoplatelets reinforced metal matrix composites was revealed, based on which the influence of grain refinement, load transfer and dislocation strengthening on the yield strength of composites and their evolution with temperature was quantitatively characterized. Furthermore, by introducing the weakening effect of graphene agglomeration on associated control mechanism of yield strength, a prediction model of temperature dependent yield strength of graphene nanoplatelets reinforced metal matrix composites was established. The proposed prediction approach is verified by comparing the predictions with the experimental data in other literature. Moreover, using the established model, the quantitative effects of length and thickness of nanoplatelets on the yield strength of composites and their evolution with temperature were carried out. This research also provides an effective method for investigating the optimal volume fraction and failure volume fraction of added graphene.

Vibration analysis of magneto-electro-elastic sandwich plate with auxetic graphene reinforced metal matrix composite core

This research addresses analytical solutions for vibration performance of simply supported sandwich plate subjected to coupled mechanical-electric-magnetic-thermal loads. The plate is made of graphene reinforced metal matrix composite (GRMMC) core and magneto-electro-elastic (MEE) face sheets. Three graphene distribution patterns, FG-X, FG-O, and UD are considered for evaluating the reinforcement efficiency of graphene. The Reddy’s higher order shear deformation plate theory and Hamilton’s principle are employed to formulate the equations of motion of the sandwich plate. Then, using double trigonometric functions for variables and applying Bubnov–Galerkin procedure, the system of nonlinear second-order differential equations is constructed to reveal the natural frequency, frequency ratio, and dynamic response of the sandwich plate. The influences of graphene distribution patterns and volume fraction, magnetic and electric potentials, temperature change, and volume fraction of piezoelectric phase are discussed in details. This research provides basis for the design of sandwich composite structures, especially smart structures and devices.

Electro-mechanical coupling model and interlaminar stress analysis of laminated plates containing GSR actuator

Due to its remarkable physical features, graphene nanosheets (GPN) are one of the most appealing reinforcing materials for composites. For polyvinylidene fluoride (PVDF), GPN reinforced composites can dramatically increase its piezoelectric and mechanical characteristics. If the interlaminar shear deformation of laminated plates containing uniform graphene sheets reinforced (GSR) smart piezoelectric layer, which material properties vary widely from layer to layer and subjected to electromechanical loading cannot be accurately predicted, the interlaminar stresses may be very high, eventually leading to interlaminar failure. In light of this, an effective mechanoelectrical coupling model for the accurate prediction of interlaminar stress for composite plates contains GSR actuators is developed in present study. Meanwhile, the finite element formulation (FEF) can be substantially simplified due to the expression of transverse shear stress components becoming more succinct. Therefore, by using the suggested electro-mechanical coupling theory, a three-node FEF is easily constructed. The refinement of transverse shear stress prediction in the context of electromechanical coupling can be accomplished through the application of the Reissner mixed variation theory (RMVT). The performance of the recommended plate model will be evaluated using the results derived from three-dimensional (3D) elastic theory and the selected model. By employing the RMVT method, we improve predictions of transverse shear stresses while considering the electromechanical coupling effect. The results from our model are compared with alternative models and 3D elasticity theory, demonstrating its superiority in satisfying the continuity requirements of transverse shear stresses and exhibiting excellent agreement with exact solutions. This validates the accuracy and applicability of our proposed model. Further to that, the prediction of mechanical characteristics for laminated plates with GSR actuators were systematically studied from the thoroughly perspectives of electromechanical load, piezoelectric layer thickness, graphene volume fraction, and some other parameters.

Influence of various shape factors on a hybrid nanofluid flow over a convectively heated exponential stretching sheet with exponential heat source and activation energy: An irreversibility analysis

Understanding and controlling the shape factors of nanoparticles in fluid flow problems is crucial for optimizing heat transfer, fluid dynamics, and various applications such as nanofluids, drug delivery systems, catalysis, and nanocomposites. By tailoring the shape of nanoparticles, researchers can manipulate their behavior, dispersion, and interaction with the fluid, thereby optimizing the desired outcomes in various fluid flow problems. In this work, we investigated how thermal radiation, exponential heat source, and activation energy parameters affect the laminar flow properties of a hybrid nanofluid (Water + Graphene + Multi-Walled (MW) Carbon Nanotubes (CNTs)) over an exponentially expanding sheet. This article also includes an analysis of irreversibility. The equations required to represent the problem have been turned into a system of nonlinear ordinary differential equations, and this system has been unraveled by means of the bvp4c solver. Outcomes are presented for three instances, i.e. platelet, cylinder, and spherical shape factors. It is observed that there is an increase in the formation of entropy associated with the upsurge in the values of the Brinkman number, but there is an inverse proportional relation between activation energy () and entropy generation. It is clear from a closer inspection that as the friction factor declines with the escalation in the magnetic field parameter () and volume fraction of graphene (). At the skin friction coefficient is seen to drop at a rate of 0.69807 (in all cases). It is discovered that, when (Prandtl number), the Nusselt number declines by 0.009161 (platelet shape), 0.009397 (cylinder shape), and 0.009997 (spherical shape). It is remarked that the transmission rate of mass declines with the rise in At the Sherwood number is seen to drop at a rate of 0.30723 (platelet shape), 0.30718 (cylinder shape), and 0.30708 (spherical shape).

Prediction of viscosity of kerosene-based nanographene fluids by molecular dynamics simulation analysis

Molecular dynamics simulation was used to study the viscosity of rocket kerosene with nanofluid. The substitution model of a four-component rocket kerosene-based fluid was constructed and verified by experiments. Nano-graphene GNPs were introduced to investigate the effects of volume fraction and particle parameters on the viscosity of rocket kerosene. The viscosity of the composite system increased from 5.12 % to 15.68 % when the volume fraction of graphene increased from 0.1 % to 0.9 % at 303 K. When the volume fraction of graphene nanoparticles is 0.1 %, the temperature increases from 223 K to 323 K, and the viscosity of the composite system decreases from 27.59 mPa·s to 1.10 mPa·s. The simulation results show that the viscosity of rocket kerosene with nanographene particles is significantly higher than that of rocket kerosene-based fluid. Increasing the volume fraction of nano-graphene sheets and decreasing the particle size makes the graphene molecules collide and diffuse more frequently in the rocket kerosene, which leads to the increase of the viscosity of the composite system. In addition, shape factors such as the specific surface area and aspect ratio of the nanoparticles affect the viscosity of the kerosene-based nanofluids.

Strengthening mechanisms in graphene reinforced Nb/Nb5Si3 composite

Understanding strengthening mechanisms is essential to tailor mechanical properties of composites. The strengthening mechanisms in graphene reinforced Nb/Nb5Si3 composite were systematically revealed for the first time, and their microstructures and mechanical behaviors were studied in detail. The compressive strength and toughness of graphene reinforced Nb/Nb5Si3 composite at room temperature stand out from the published reports, indicating that our reported strategy can enable the graphene reinforced Nb/Nb5Si3 composite to break through strength-toughness trade-off. The formed nano-Nb4C3 interfacial phase with the rod-shaped morphology is tightly bound to the graphene and embedded in the matrix of the composite, and this unique bonding form is conducive to improving the interfacial bonding strength by reducing the interfacial mismatch and forming the anchoring effect. The load transfer plays the dominant strengthening mechanism in the graphene reinforced Nb/Nb5Si3 composite, and the load transfer for the 0.75 vol % graphene reinforced Nb/Nb5Si3 composite is five times that for the 0.25 vol % graphene reinforced Nb/Nb5Si3 composite, indicating that load transfer is significantly affected by graphene volume fraction. This work is hoped to bring some valuable information and theoretical cognition for fabricating the high-property Nb/Nb5Si3 composites in the future.

Non‐linear thermoelastic vibration and optimum frequency prediction of sandwich composite corrugated panels with honeycomb auxetic core

AbstractIn this article, the non‐linear free vibration behavior of sandwich composite panels with sinusoidal corrugations is examined. These panels consist of a top and bottom skin made of a graphene‐reinforced composite, with an auxetic honeycomb core having negative Poisson's ratio. The non‐linear kinematic field is based on Kant's higher‐order shear‐deformation theory and the Green‐strain, which incorporates all the higher‐order terms. By implementing the Hamilton principle, the non‐linear governing equations are affirmed and solved further through 2D‐isoparametric finite element approximations via Lagrangian elements in conjunction with Picard's successive iterative scheme. The comparison and validation tests demonstrate the correctness of the present model. The established sandwich model is further employed for various parametric conditions by varying the core‐to‐face sheet thickness, auxetic honeycomb properties, graphene volume fraction, shell configurations, temperature, and support conditions. These numerous results exemplify the non‐linear frequencies at small‐to‐large amplitudes for the sandwich shell structures and are discussed in detail. In addition, a multi‐objective parametric optimization is conducted using the response surface method to investigate the optimal values of the corrugated auxetic honeycomb shell panel's parameters, resulting maximum frequency.Highlights Non‐linear vibration of corrugated sandwich shell panel. Graphene reinforced skins and honeycomb auxetic core. Kant's higher‐order shear‐deformation theory and Green‐Lagrange non‐linearity. Hamilton principle and Picard's successive iterative scheme. Multi‐objective parametric optimization and prediction using response surface methodology.

An improved pull-out model for the composites with curved reinforcement

Due to the low bending stiffness and large aspect ratio, nanofillers with curved morphology are ubiquitous in composites, providing a potential avenue to achieve superior mechanical properties and functionalities. However, the theoretical understanding of the morphology-properties relationship in such composites remains constrained due to the difficulties in precisely defining the boundary conditions required for establishing a fully analytical model. In this study, we propose an improved shear-lag model that overcomes these challenges to investigate the influence of reinforcement's curved morphology on the pull-out mechanical behaviors of composites, which enables accurate prediction of stress distributions and interfacial debonding. Our investigation reveals that among the two morphology-related parameters, namely waviness and curvature, the pull-out behaviors and properties of the composites are more sensitive to the former parameter. A higher degree of waviness actually contributes to enhanced load transfer efficiency and larger pull-out loads. Meanwhile, we demonstrate that the load transfer from the curved reinforcement to the matrix, as well as the maximum pull-out load, can be improved by increasing the length and volume fraction of graphene, as well as the frictional stress. Additionally, we identify a critical Young's modulus ratio of approximately 16 between the reinforcement and matrix, serving as a predictive criterion for determining debonding locations. Overall, this study provides deep insights into the pull-out behavior of composites with curved reinforcement and presents theoretical inspirations for designing and optimizing advanced composites to achieve high strength and toughness simultaneously.

Non-linear vibration and parametric optimization of sandwich composite curved shell panels with graphene reinforced skins and auxetic honeycomb core

This study aims to investigate the non-linear free vibration behavior of composite sandwich panels composed of Graphene-reinforced composite (GRC) skins and honeycomb auxetic core. Here, modified Halpin-Tsai micromechanics and bottom-up multi-scale-based schemes are employed to compute the spatial-dependent elastic properties of Graphene nanocomposite and auxetic honeycomb core, respectively. The non-linear kinematic field is based on Kant’s higher-order shear-deformation theory and the Green strain. Using the Hamilton principle, the nonlinear governing equations are affirmed and solved further through Picard’s iteration-based 2D-isoparametric finite element approximations via Lagrangian elements. The mesh convergence and validation tests are executed to confirm the consistency and correctness of the developed model. The established sandwich model is further employed for various parametric conditions by varying the core-to-face sheet thickness, auxetic honeycomb properties, graphene volume fraction, shell configurations, temperature, and support conditions. These numerous results exemplify the non-linear frequencies at small-to-large amplitudes for the sandwich shell structures and are discussed in detail. In addition, parametric optimization is conducted using the response surface method to investigate the optimal values of auxetic honeycomb parameters, resulting in maximum frequency response. Findings confirm that, within the selected ranges of the geometric parameters of auxetic honeycomb core, higher values of the thickness of the cell rib (∼1.9 cm) and the length of the vertical cell rib (∼0.15 cm) and lower value of the core thickness (∼5 cm) yield the maximum frequency.

Evaluation and Analysis of Elastic Properties for Banana and Graphite Fiber Blended with Graphene Nano-Platelets Based Hybrid Green Composite Using Micromechanical and Semi-Empirical Models

This paper evaluates the isotropic elastic properties of a hybrid composite made of banana fiber and unidirectional graphite fiber reinforced with graphene nano-platelets (GNPs) embedded in polyimide resin. Three different micromechanical models, namely Mori-Tanaka (M-T), Paul’s model (PM), and Maxwell’s model (MM), and one semi-empirical model, namely Modified Halpin-Tsai (Mod. H-T), are used for evaluating and analyzing the elastic properties for the proposed novel hybrid composite. The impact of the size of GNPs on the proposed composite material in the fully dispersed and agglomerated state, impact of different volume fractions of banana and graphite fiber on the axial Young’s modulus (AYm), transverse Young’s modulus (TYm), axial Poisson’s ratio (APr) and axial shear moduli (ASm) of the proposed composite material are analytically evaluated and analyzed. The analysis shows that with the addition of graphite fiber in the GNP-reinforced banana fiber, the elastic features of the proposed composites are improved. It is also observed that the agglomeration of GNPs substantially reduces the hardening effect of GNPs in the proposed composite material. A low volume fraction of graphene (till 1.5 volume%) is observed to strengthen the mechanical features of the proposed composite material. Additionally, the hybridization effect for the composite is evaluated to examine the tensile failure strain features of banana and graphite fiber in the proposed hybrid composite material.

Study on Free Vibration Analysis of a Rotating Fibre-Graphene-Reinforced Hybrid Polymer Composites Pre-Twist Shel

The present work aims to develop a computational procedure for investigating the vibration behaviour of pre-twisted laminated composite shell containing graphene inclusions in their matrix. According to nanoscopic empirical equations, graphene's mechanical properties are determined by its size dependence. It has been demonstrated that the orthotropic mechanical properties of composite laminates made from carbon fibres and hybrid matrix can be evaluated. Based on pre-twist and geometric configurations, finite element methods have been used to model hybrid materials shells that include carbon fibre, graphene, and graphene-fibre reinforcement. As part of the validation process, the proposed method is compared with other methods when possible. Finally, the vibrational behaviour of the composite shell is extracted by imposing a twisted angle on a cantilever boundary condition. An analysis of vibrations for each configuration is presented in this paper, as well as the effects of graphene inclusions on natural frequencies. As graphene volume fractions in the matrix increase, the natural frequencies of every mode also increase. When the hub radius and rotational speed are increased, the frequency parameter increases with an increase in graphene volume in the hybrid polymer composite pre-twisted shell.

Torsional postbuckling characteristics of functionally graded graphene enhanced laminated truncated conical shell with temperature dependent material properties

Buckling and postbuckling characteristics of laminated graphene-enhanced composite (GEC) truncated conical shells exposed to torsion under temperature conditions using finite element method (FEM) simulation are presented in this study. In the thickness direction, the GEC layers of the conical shell are ordered in a piece-wise arrangement of functionally graded (FG) distribution, with each layer containing a variable volume fraction for graphene reinforcement. To calculate the properties of temperature-dependent material of GEC layers, the extended Halpin-Tsai micromechanical framework is used. The FEM model is verified via comparing the current results obtained with the theoretical estimates for homogeneous, laminated cylindrical, and conical shells, the FEM model is validated. The computational results show that a piece-wise FG graphene volume fraction distribution can improve the torque of critical buckling and torsional postbuckling strength. Also, the geometric parameters have a critical impact on the stability of the conical shell. However, a temperature rise can reduce the crucial torsional buckling torque as well as the GEC laminated truncated conical shell's postbuckling strength.

Numerical Simulation of Thermal Conductivity of Graphene Reinforced Aluminum Matrix Composites

In order to develop materials with high thermal conductivity, aluminum matrix composites are attracting much attention. The heat transfer ability of graphene-reinforced aluminum matrix composites was numerically simulated with the finite element method. A composite model of 3D many-particle stochastic distributions is developed. The effect of temperature, volume fraction of graphene, graphene shapes and graphene orientation heat transfer capacity of composite materials was researched. Studies have shown that that the graphene volume fraction, graphene shapes and graphene orientation were significant factors for the heat transfer of the composites. As the graphene content increases, the temperature transfer capacity of the composite increases. The disc-shaped graphene with an orientation angle of 45° in composites can obtain an enhancement in the heat transfer ability of the composites.

Electrical response, elastic property, and pressure sensing under bending of hybrid graphene/CNT/elastomer nanocomposites

The hybrid graphene/carbon nanotube (CNT)/elastomer nanocomposite is studied as a pressure sensor under bending. The main idea is that, due to the uneven elastic deformation between the softer elastomer matrix and the stiffer nanofillers, the volume fractions of graphene and CNTs both increase as a result of bending, and this in turn triggers higher electrical conductivity and superb sensing performance of the nanocomposite. This effect is analyzed through a three-phase composite model that contains graphene nanoplatelets (GNPs) and CNTs in a fluorinated elastomer matrix. We also show how the elastic and electrical properties of the hybrid nanocomposite depend on the graphene and CNT volume fractions. It is demonstrated that, with the increase of bending pressure from 0 to 1 KPa, the sensor resistance reduced by several orders of magnitude, which makes the hybrid sensor conductive from an insulator and an ideal pressure sensor.