journal article·2021-10

Preparation of flexible, highly conductive polymer composite films based on double percolation structures and synergistic dispersion effect

Ting‐Ting Li, Yuxiao Wang, Yanting Wang, Fei Sun, Jiawen Xu, Ching‐Wen Lou, Jia‐Horng Lin

Polymer Composites· Volume 42· Issue 10
Publisher page

Abstract

Abstract We studied for the first time the synergistic dispersion effect of the carbon nanotube (CNT)/graphene (Gr) and polypropylene (PP)/polycarbonate (PC) (1:1) double percolation structures on conductive polymer composites (CPCs). PP/PC/CNT/Gr films with different CNT/Gr ratios are prepared by melt blending and hot pressing. Results showed that a CNT/Gr ratio of 1:1 facilitated the creation of co‐continuous double percolation structures of matrices, and the electronic conductivity reached 33.11 S/m, which was five times greater than that of the matrices containing only CNT. Results showed that the synergistic dispersion effect and the co‐continuous double percolation structures provided the matrices with conductivity through an additive effect. Meanwhile, PP/PC/CNT/Gr composite films possessed good thermal stability and hydrophobicity. They also did not exhibit thermal degradation at 300°C and had a water contact angle of 94.5°. However, PP and PC were incompatible, causing considerable brittleness of composite films macroscopically, and the films can hardly curve. To respond to this downside and improve the flexibility, a small amount of thermoplastic polyurethane (TPU) was added to the system. The presence of TPU helped combining the two materials in different phases, thereby strengthening the continuity. However, the presence of TPU adversely affected the double percolation structures and dispersion state of fillers, and subsequently decreased the conductivity.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Innovation Platform of Intelligent and Energy‐Saving Textiles, School of Textile Science and Engineering Tiangong University Tianjin China

Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials Tiangong University Tianjin China

Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan

Department of Medical Research, China Medical University Hospital China Medical University Taichung Taiwan

Fujian Key Laboratory of Novel Functional Textile Fibers and Materials Minjiang University Fuzhou China

Ocean College Minjiang University Fuzhou China

Laboratory of Fiber Application and Manufacturing, Department of Fiber and Composite Materials Feng Chia University Taichung Taiwan

School of Chinese Medicine China Medical University Taichung Taiwan

Funding

National Natural Science Foundation of China · Natural Science Foundation of Fujian Province

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