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Skeleton designable SGP/EA resin composites with integrated thermal conductivity, electromagnetic interference shielding, and mechanical performances.

Authors :
Du, Qingyuan
Li, Chenglin
Liu, Changhao
Cheng, Li
Chen, Guohua
Chen, Ning
Wu, Daming
Sun, Jingyao
Source :
Composites Science & Technology. Oct2022, Vol. 229, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

For the better operation of future electronic devices in complex situations, higher requirements of mechanical performance, especially bearing capacity, were put forward to functional composites. Therefore, the mechanical performance enhancement of functional composites had important practical application value. In this work, we reported a short carbon fiber-graphene nanoplatelets-polydimethylsiloxane (SGP)/epoxy acrylic resin (EA resin) composites with integrated thermal conductivity, electromagnetic interference (EMI) shielding, and mechanical performances using a combination method of 3D printing and vacuum impregnation. In the SGP/EA resin composite, EA resin skeleton with different cell shapes was responsible for the bearing capacity of composite samples, while the thermal conductivity and EMI shielding performance were provided by the SGP compound. When the cell shape of skeleton was circular and the filling contents in SGP compound was 15 wt% SCF and 6 wt% GNP, the SGP/EA resin composite presented best combination properties of 323.5 kPa compressive modulus, 2.13 W/(m·K) thermal conductivity, and 45.93 dB EMI shielding performance at 12.4 GHz. This work provided a facile, low-cost, and scalable method to fabricate composite samples with integrated thermal conductivity, EMI shielding, and mechanical performances. These multifunctional composites are highly promising for applications concerning heat dissipation, EMI shielding, and load-bearing devices. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02663538
Volume :
229
Database :
Academic Search Index
Journal :
Composites Science & Technology
Publication Type :
Academic Journal
Accession number :
159140511
Full Text :
https://doi.org/10.1016/j.compscitech.2022.109686