Experiment and theory study on the electrical property of MWCNT filled thermoplastic polyurethane bilayer composites with tunable layer thickness ratios
Experiment and theory study on the electrical property of MWCNT filled thermoplastic polyurethane bilayer composites with tunable layer thickness ratios
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层厚比可调的MWCNT填充热塑性聚氨酯双层复合材料电性能实验与理论研究
DOI:
10.1016/j.polymertesting.2022.107749
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发表时间:
2022-11
期刊:
影响因子:
5.1
通讯作者:
Shaoyun Guo
中科院分区:
文献类型:
--
作者:
Jinxiang Ai;Bingbing Zeng;Jingxian Qin;Yu Zheng;Shaoyun Guo
The thermoplastic polyurethane (TPU)/multi-walled carbon nanotubes (MWCNTs) filled TPU (cTPU) bilayer composites with tunable layer thickness ratios were fabricated via layer-assembly coextrusion, while keeping the filler loading in whole composite at 1 wt%. The parallel circuit model was used to predict the electrical resistivity of bilayer composites, but the theoretical value was always lower than the experimental result. It was revealed that the predicted deviation originated from the particle transfer at interface and gradually disappeared with the enhanced migration of MWCNTs from cTPU into TPU. Then, the model was modified with a consideration of particle transfer and applied to explain the evolution of predicted deviation. Unlike the blend composite with the same composition exhibiting an insulation, the bilayer composites presented a good conductivity which could be greatly optimized by thinning the cTPU layer. The bilayer composites also possessed balanced mechanical properties and showed excellent absorption-dominated electromagnetic interference shielding effectiveness. This work offers guidance for tailoring the performance of conductive polymer composites. • Fabrication of bilayer composites via layer-assembly coextrusion. • Tailoring the layered distribution of MWCNTs via varying the layer thickness ratio. • Prediction of conductive resistivity based on a parallel circuit model. • Tunable electrical properties were realized.
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影响因子:
9.2
作者:
Wang, Jingping;Xu, Youlong;Zhu, Jianbo;Ren, Penggang
通讯作者:
Ren, Penggang
影响因子:
15.1
作者:
Kang Zhao;Suishui Li;Ming Huang;Xianzhang Shi;Guoqiang Zheng;Chuntai Liu;Kun Dai;Changyu Shen;Rui Yin;Zhanhu Guo
通讯作者:
Zhanhu Guo
影响因子:
4.6
作者:
J. Zhong;A. Isayev;Keyuan Huang
通讯作者:
J. Zhong;A. Isayev;Keyuan Huang
DOI:
10.1016/j.compositesa.2022.106901
发表时间:
2022-05
期刊:
Composites Part A: Applied Science and Manufacturing
影响因子:
--
作者:
Qian He;Junjun Tao;Yi Yang;Dian Yang;Kai Zhang;B. Fei;Ming-Xin Wang
通讯作者:
Qian He;Junjun Tao;Yi Yang;Dian Yang;Kai Zhang;B. Fei;Ming-Xin Wang
影响因子:
9.5
作者:
Gao, Wanli;Zheng, Yu;Guo, Shaoyun
通讯作者:
Guo, Shaoyun