Thermal, electrical, and mechanical properties of hexagonal boron nitride–reinforced epoxy composites

2013 ◽  
Vol 48 (20) ◽  
pp. 2517-2526 ◽  
Author(s):  
Wenying Zhou ◽  
Jing Zuo ◽  
Xiaoqian Zhang ◽  
Anning Zhou
2020 ◽  
Vol 40 (10) ◽  
pp. 859-867
Author(s):  
Yao Shi ◽  
Genlian Lin ◽  
Xi-Fei Ma ◽  
Xiao Huang ◽  
Jing Zhao ◽  
...  

AbstractHexagonal boron nitride (h-BN) nanoplatelets (0.6 μm in diameter and 100 nm in thickness) are introduced into epoxy resin to improve the polymer’s thermal conducting ability. As expected, the thermal conductivities (TCs) of the composites, especially the in-plane TCs, are significantly increased. The in-plane TC of the epoxy composites can reach 1.67 W/mK at only 0.53 wt% loading, indicating h-BN nanopletelets are very effective thermal fillers. However, after carefully studied the correlation of the TC improvement and filler content, a sudden drop of the TC around 0.53 wt% filler loading is observed. Such an unexpected decrease in TC has never been reported and is also found to be consistent with the Tg changes versus filler content. Similar trend is also observed in other 2-D nanofillers, such as graphene oxide, reduced graphene oxide, which may indicate it is a general phenomenon for 2-D nanofillers. SEM results suggest that such sudden drop in TC might be coming from the enrichment of these 2-D nanofillers in localized areas due to their tendency to form more ordered phase above certain concentrations.


2019 ◽  
Vol 8 (1) ◽  
pp. 210-217 ◽  
Author(s):  
Yingjing Liang ◽  
Hongfa Qin ◽  
Jianzhang Huang ◽  
Sha Huan ◽  
David Hui

Abstract Defects and temperature effects on the mechanical properties of hexagonal boron nitride sheet (h-BN) containing randomly distributed defects are investigated by molecular dynamics simulations and the reasons of the results are discussed. Results show that defect deteriorate the mechanical performance of BNNS. The mechanical properties are reduced by increasing percentage of vacancy defects including fracture strength, fracture strain and Young’s modulus. Simulations also indicate that the mechanical properties decrease with the temperature increasing. Moreover, defects affect the stable configuration at high temperature. With the percentage of defect increases the nanostructures become more and more unstable. Positions of the defect influent the mechanical properties. The higher the temperature and the percentage of defect are, the stronger the position of the randomly distributed defect affects the mechanical properties. The study provides a theoretical basis for the preparation and performance optimization of BNNSs.


RSC Advances ◽  
2014 ◽  
Vol 4 (83) ◽  
pp. 44282-44290 ◽  
Author(s):  
Jun Hou ◽  
Guohua Li ◽  
Na Yang ◽  
Lili Qin ◽  
Maryam E. Grami ◽  
...  

The fabricated surface modified boron nitride epoxy composites exhibit high thermal conductivity, superior thermal stability and good mechanical properties while retaining good electrical insulation properties.


2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Yanming Wang ◽  
Peng Cai ◽  
Tingmei Wang ◽  
Qihua Wang

Tribological and mechanical properties of aramid fiber (AF), graphite (Gr), and hexagonal boron nitride (h-BN) hybrid polyimide composites were investigated under room and high temperature. Results show that, Gr in composite reinforced with AF and h-BN can reduce coefficient of friction (COF) and improve antiwear property of composites under room temperature. Gr can accelerate the formation of transfer film under high temperature without sacrificing the wear resistant of composites. Transfer film of composites reinforced with Gr and h-BN simultaneously present more smooth and uniform compared with that of composites reinforced with only AF and h-BN. However, under higher temperature, composite reinforced with pure Gr present higher COFs and wear rates (WRs) compared with composites filled with h-BN and Gr simultaneously. Comprehensively, composite filled with 10% AF, 3% h-BN, and 4% Gr is the optimum composition.


2021 ◽  
Vol 16 (3) ◽  
pp. 311-326
Author(s):  
Nan Li ◽  
Ning Ding ◽  
Ting Jiang ◽  
Long Liu ◽  
Fahmi Zaïri

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