Remarkably anisotropic conductive MWCNTs/polypropylene nanocomposites with alternating microlayers
Remarkably anisotropic conductive MWCNTs/polypropylene nanocomposites with alternating microlayers
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具有交替微层的显着各向异性导电 MWCNT/聚丙烯纳米复合材料
DOI:
10.1016/j.cej.2018.10.078
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发表时间:
2019-02
影响因子:
15.1
通讯作者:
Zhanhu Guo
中科院分区:
文献类型:
--
作者:
Kang Zhao;Suishui Li;Ming Huang;Xianzhang Shi;Guoqiang Zheng;Chuntai Liu;Kun Dai;Changyu Shen;Rui Yin;Zhanhu Guo
Multilayered objects are some of the most common composites in nature with outstanding performance that cannot be achieved by a single component. To expand the application of multilayered composites with excellent anisotropic properties, facile and environmental friendly fabrication methods and low-cost raw materials are unambiguously required. The Chinese traditional food called “thousand-layer pie” is an example of such composites with multilayered structure, showing visual attractiveness and having delicious taste. Borrowing the idea from the method of preparing this food, anisotropic conductive polymer composites (ACPCs) with alternating microlayers of pure polypropylene (PP) and PP filled multi-walled carbon nanotubes (PPCNTs) were prepared by a combined polymer melt processing technique. The multilayered structure endowed the ACPCs with inner layer conduction but interlayer insulation. The electrical conductivity in X direction reached up to 1 S/m and exhibited a value almost 16 orders of magnitude higher than the value in Z direction, which was by far the most remarkable conductive anisotropy compared with the reported counterparts. The anisotropic functionality of the ACPCs enabled them to be used in electrical and thermal management applications, such as subminiature integrated circuits, highly reliable electrical interconnects and anisotropic thermal conduction. Considering the low-cost raw materials used and the facile preparation process, this approach can be scaled up for industrial production, promoting such ACPCs with high performance and functionality to be implemented in a variety of applications.
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影响因子:
6.4
作者:
Liang-Qing Zhang;Biao Yang;Jian Teng;Jun Lei;Ding-Xiang Yan;Gan-Ji Zhong;Zhong-Ming Li
通讯作者:
Zhong-Ming Li
影响因子:
10.9
作者:
Jiaming Zhu;Jiabin Shen;Shaoyun Guo;H. Sue
通讯作者:
Jiaming Zhu;Jiabin Shen;Shaoyun Guo;H. Sue
影响因子:
2.3
作者:
A. Ma;M. Mackley;S. Rahatekar
通讯作者:
A. Ma;M. Mackley;S. Rahatekar
影响因子:
6.7
作者:
Hou, Xiao;Wang, Mengjie;Yu, Jinhong
通讯作者:
Yu, Jinhong
影响因子:
29.4
作者:
Tawfick, Sameh;De Volder, Michael;Hart, A. John
通讯作者:
Hart, A. John