scholarly journals Preparation of high antistatic HDPE/polyaniline encapsulated graphene nanoplatelet composites by solution blending

RSC Advances ◽  
2017 ◽  
Vol 7 (5) ◽  
pp. 2796-2803 ◽  
Author(s):  
Quan Wang ◽  
Yuming Wang ◽  
Qingguo Meng ◽  
Tinglan Wang ◽  
Weihong Guo ◽  
...  

High antistatic HDPE composites were firstly prepared by solution blending with polyaniline encapsulated graphene nanoplatelets nanocomposites.

Author(s):  
Minh Canh Vu ◽  
Pyeong Jun Park ◽  
Sa-Rang Bae ◽  
Soo Young Kim ◽  
Young-Min Kang ◽  
...  

Graphene nanoplatelets are chemically crosslinked to aramid nanofibers through a phosphorus trimer to fabricate ultratough, thermoconductive, flame retardant, and EMI shielding films.


Nanoscale ◽  
2018 ◽  
Vol 10 (5) ◽  
pp. 2351-2362 ◽  
Author(s):  
Jong Sik Oh ◽  
Ji Soo Oh ◽  
Da In Sung ◽  
Geun Young Yeom

Graphene nanoplatelets (GNP) have attracted considerable attention due to their high yield and fabrication route that is scalable to enable graphene production.


Polymers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 951 ◽  
Author(s):  
Yang Yuan ◽  
Zhaoming Qu ◽  
Qingguo Wang ◽  
Xiaoning Sun ◽  
Erwei Cheng

With the more serious threats from complex electromagnetic environments, composites composed of conductive or semiconductive fillers and polymeric matrices could exhibit excellent nonlinear I-V characteristics, and have drawn significant attention in the field of overvoltage protection. In this research, graphene nanoplatelets (GNPs) are decorated by ZnO and mixed into an epoxy resin (ER) matrix via solution blending to prepare composites. A characterization analysis and the I-V measurement results of the GNPs/ER composites indicate that ZnO nanoparticles are well bonded with GNPs and exhibit obvious nonlinear I-V behavior under proper applied voltage with high nonlinear coefficients. The switching threshold voltage and nonlinear coefficients could be controlled by adjusting the weight ratio of GNPs and ZnO of the filler. Moreover, compared with the poor recoverability of pure GNP-filled ER in previous research, the GNP-ZnO/ER composites exhibited excellent reversibility of nonlinear I-V behavior under multiple repetitive I-V measurements. And compared with different composites, the sample with a 1:8 weight ratio of GO to Zn(Ac)2 presents the smallest variation of switching threshold voltage at 158 V, with a standard deviation of 1.27% from among 20 measurements, which indicates the best reversibility. Finally, the conducting mechanism of the reversible nonlinear I-V characteristic is investigated and analyzed.


Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1634
Author(s):  
Yang Yuan ◽  
Zhaoming Qu ◽  
Qingguo Wang ◽  
Xiaoning Sun

With the increasing threats arising from the electromagnetic environment, polymeric composites which could exhibit nonlinear conductive characteristics are highly required in the protection of electronic devices against overvoltage. In this research, ZnO nanoparticles are coated onto graphene nanoplatelets (GNPs)-carbon nanotubes (CNTs) hybrid, and then it is embedded in epoxy resin (ER) matrix via solution blending. Based on the characterization results, CNTs are well dispersed across the GNPs which prevent the restacking of GNPs and CNTs. At the same time, ZnO nanoparticles are well-bonded to the surfaces of GNPs-CNTs hybrid. During repeated conductive characteristic measurements, GNPs-CNTs-ZnO/ER composite is able to demonstrate distinctly reversible nonlinear conductive behavior, with high nonlinear coefficients. Especially, the filler content in GNPs-CNTs-ZnO/ER composite is only 12.5% of that in GNPs-ZnO/ER composite reported in our previous work. Moreover, it is shown that the nonlinear coefficients and switching threshold voltage can be modified by controlling the weight ratios of GNPs, CNTs, and ZnO. Finally, the samples with 1:1 weight ratio of GO to MWCNTs (A-6.67 and A-10) exhibit the best reversible nonlinear conductive behavior.


Author(s):  
Shan Li ◽  
Yan Cao ◽  
Junde Qi ◽  
Hongjun Liu ◽  
Rasoul Moheimani

A nested analytical method, a product of combining two micromechanical models is developed in this study. The proposed micromechanical method predicts the relaxation properties of polymer hybrid nanocomposites containing linearly visco-elastic matrix, transversely isotropic elastic carbon fibers, and graphene nanoplatelets. Calculations performed in this model are of two scales. The small scale, which is the domain of epoxy resin and graphene nanoplatelet interactions, and the large scale, which assumes the small scale as a homogenized isotropic matrix. In the large scale, the prescribed matrix is then reinforced by the unidirectional CFs. Each scale calculation gives the properties of the underlying material. Secant moduli and the field fluctuation techniques are adopted in this study. Resulting explicit formulae allows one to calculate the overall relaxation moduli of the graphene nanoplatelet/carbon fiber-reinforced polymer hybrid nanocomposites. By comparing the data obtained by experiments and the results extracted by the proposed micromechanical approach, the accuracy of the model becomes apparent. Addition of graphene nanoplatelets into the fibrous composites leads to an improvement in the relaxation properties of the hybrid nanocomposites. Also, the elastic properties of graphene nanoplatelet/carbon fiber-reinforced epoxy hybrid nanocomposites are reported. The role of graphene nanoplatelet agglomeration, frequently encountered in real engineering situations, in the mechanical response of unidirectional hybrid nanocomposites is examined. The effects of volume fraction of graphene nanoplatelets and CFs on the overall mechanical properties are investigated.


2020 ◽  
pp. 109963622092665 ◽  
Author(s):  
Vu Ngoc Viet Hoang ◽  
Nguyen Duc Tien ◽  
Dinh Gia Ninh ◽  
Vu Toan Thang ◽  
Do Van Truong

The paper focuses on the nonlinear vibration of functionally graded graphene nanoplatelet reinforced composite doubly curved shallow shells resting on elastic foundations. The graphene nanoplatelet reinforced composites are assumed to be distributed uniformly and functionally graded through the thickness. The material properties are assumed to be temperature-dependent and are estimated through the Halpin–Tsai micromechanical model, while the Poisson’s ratio, density mass, and thermal expansion are implemented by the rule of mixtures. The mathematical formulation is developed based on the classical shell theory and Von Karman-Donnell geometrical nonlinearity assumption. The dynamical responses of a simply supported functionally graded-graphene nanoplatelet reinforced composite doubly curved shallow shells are obtained by employing the Airy’s stress function and the Galerkin’s method. The responses of nonlinear vibration as time history, frequency-amplitude curve, phase plane graphs, and Poincare maps are carried out in this paper. In addition, the effects of the environment, graphene nanoplatelets weight fraction, graphene nanoplatelets distribution patterns, and thickness-to-length ratio are scrutinized. The obtained results are also compared and validated with those of other studies.


RSC Advances ◽  
2015 ◽  
Vol 5 (65) ◽  
pp. 52395-52409 ◽  
Author(s):  
B. Mayoral ◽  
E. Harkin-Jones ◽  
P. Noorunnisa Khanam ◽  
M. A. AlMaadeed ◽  
M. Ouederni ◽  
...  

The incorporation of graphene nanoplatelets into nylon (PA6)viamelt processing on an industrial scale significantly increases the crystallinity, stiffness, and electrical conductivity of the resulting composites.


2019 ◽  
Vol 54 (1) ◽  
pp. 45-60 ◽  
Author(s):  
Abhishek Sharma ◽  
Vyas Mani Sharma ◽  
Jinu Paul

Friction stir alloying is primarily employed for the fabrication of surface composite to improve surface properties like hardness, wear resistance, and corrosion resistance without significantly affecting the bulk properties of the alloy. The present study demonstrates the novel method for the fabrication of bulk aluminum-graphene nanoplatelets composite by using friction stir alloying. Here, the novelty is shown through the method of graphene nanoplatelets incorporation in the stir zone. For this purpose, a channel is fabricated on the cross-sectional surface of the aluminum plate and filled with graphene nanoplatelets. It is then covered by the cross-sectional surface of another aluminum plate of same dimensions and friction stir alloying is carried out. Reference material (RM) is also fabricated at the same parameters without any graphene nanoplatelet reinforcements for the performance evaluation of the nanocomposite. The microhardness of the fabricated composite increased by ∼57% as compared to the reference material. However, the tensile strength of the fabricated Al-graphene nanoplatelet composites decreased marginally as compared to reference material. The strengthening of the composite is explained systematically by various mechanisms. The results of microhardness and tensile test were corroborated with various characterization methods such as optical micrographs, scanning electron microscopy, atomic force microscope, and X-ray diffraction.


2019 ◽  
Vol 1 (7) ◽  
pp. 2510-2517 ◽  
Author(s):  
Weiheng Xu ◽  
Sayli Jambhulkar ◽  
Rahul Verma ◽  
Rahul Franklin ◽  
Dharneedar Ravichandran ◽  
...  

Exfoliated and aligned continuous graphene nanoplatelet channels with enhanced mechanical properties and superior electrical conductivity.


Author(s):  
Tian Yu Zhao ◽  
Ze Yu Jiang ◽  
Zhan Zhao ◽  
Li Yang Xie ◽  
Hui Qun Yuan

This paper presents a new theoretical model for rotating elastic hub-blade assemblies, made of functionally graded (FG) graphene nanoplatelet (GPL) reinforced nanocomposites, and their free vibration characteristics are investigated. This model is the first attempt to include two elastic components simultaneously and consider the coupled effect. The Euler-Bernoulli beam theory and the Donnell’s shell theory are employed to establish the mathematic model of the blade and hub, respectively. The effective material properties, varying continuously along the thickness of the beam and cylindrical shell, are determined via the Halpin-Tsai micromechanics model and the rule of the mixture. The Lagrange’s equation is adopted to derive the equations of motion which are then solved by employing the substructure mode synthesis method and the Galerkin method. A parametric study is conducted to examine the effects of the rotating speed, graphene nanoplatelet distribution pattern, GPL weight fraction, length-to-thickness ratio and length-to-width ratio of graphene nanoplatelets (GPLs) and blade dimension on the natural frequencies of the nanocomposite rotor system, which will significantly benefit on the structural and material design of GPL reinforced hub-blade assembly.


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