scholarly journals Highly thermally conductive flame-retardant epoxy nanocomposites with reduced ignitability and excellent electrical conductivities

2017 ◽  
Vol 139 ◽  
pp. 83-89 ◽  
Author(s):  
Junwei Gu ◽  
Chaobo Liang ◽  
Xiaomin Zhao ◽  
Bin Gan ◽  
Hua Qiu ◽  
...  
2018 ◽  
Vol 6 (41) ◽  
pp. 20500-20512 ◽  
Author(s):  
Xiongwei Li ◽  
Yuezhan Feng ◽  
Chao Chen ◽  
Yunsheng Ye ◽  
Hongxia Zeng ◽  
...  

Multifunctionality of ILFR-fBNNS, i.e. curing, thermal conduction and flame retardation.


2020 ◽  
Vol 2 ◽  
pp. 100022
Author(s):  
Aurelio Bifulco ◽  
Dambarudhar Parida ◽  
Khalifah A. Salmeia ◽  
Sandro Lehner ◽  
Rolf Stämpfli ◽  
...  

2021 ◽  
Author(s):  
Xiaoting Liu ◽  
Kai Pang ◽  
Yingjun Liu ◽  
Chao Gao ◽  
Zhen Xu

Abstract Constructing conductive filler networks with high efficiency is essential to fabricating functional polymer composites. Although two-dimensional (2D) sheets have prevailed in nanocomposites, their efficiency in enhancing conductive functions seems to reach the limit, as if merely addressing the dispersion homogeneity. Here, we exploit the unrecognized geometrical curvature of 2D sheets to break the efficiency limit of filler systems. The hyperbolic curvature meditates the incompatibility between 2D topology and 3D filler space and holds the efficient conductive path through face-to-face contact. The hyperbolic graphene framework exhibits the record efficiency in enhancing electrically and thermally conductive functions of nanocomposites. At volume loading of only 1.6%, the thermal and electrical conductivities reach 31.6 W/(mK) and 13,911 S/m, respectively. Nanocomposites with hyperbolic graphene framework exhibit great potentials in thermal management, sensing and electromagnetic shielding. Our work presents a geometrically optimal filler system to break the efficiency limit of multifunctional nanocomposites and broadens the structural design space of 2D sheets by curvature modulation to meet more applications.


Nanoscale ◽  
2013 ◽  
Vol 5 (13) ◽  
pp. 5863 ◽  
Author(s):  
Min-Chien Hsiao ◽  
Chen-Chi M. Ma ◽  
Jen-Chi Chiang ◽  
Kuan-Ku Ho ◽  
Tsung-Yu Chou ◽  
...  

2021 ◽  
Vol 13 (40) ◽  
pp. 48196-48207
Author(s):  
Yongshuai Yuan ◽  
Ye-Tang Pan ◽  
Wenchao Zhang ◽  
Mingjie Feng ◽  
Na Wang ◽  
...  

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