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Design of mechanically stable, electrically conductive and highly hydrophobic three-dimensional graphene nanoribbon composites by modulating the interconnected network on polymer foam skeleton.

Authors :
Cao, Cheng-Fei
Zhang, Guo-Dong
Zhao, Li
Gong, Li-Xiu
Gao, Jie-Feng
Jiang, Jian-Xiong
Tang, Long-Cheng
Mai, Yiu-Wing
Source :
Composites Science & Technology. Feb2019, Vol. 171, p162-170. 9p.
Publication Year :
2019

Abstract

Abstract The development of three-dimensional (3D) graphene nanoribbon (GNR) based porous composites with both mechanical reliability and multiple functionality has attracted great interest due to their promising applications in strain sensing, oil/water separation, etc. Herein, we report a facile strategy to fabricate robust porous 3D GNR wrapped polymer foam composites through modulating an interconnected GNR network and introducing a flexible polydimethylsiloxane (PDMS) coating. By simply adjusting the graphene oxide nanoribbon (GONR) concentration in aqueous solution followed by chemical reduction, the presence of the reduced GONR (rGONR) sheets endows commercial polyurethane (PU) foam with electrical conductivity without altering their porous microstructure. The mechanical properties of the rGONR-coated PU (PGR) foam composites depend strongly on the rGONR content and exhibit poor stability at low content due to the breakage of the rGONR network during cyclic deformation. Introduction of the flexible PDMS coating effectively stabilizes the 3D rGONR network on the foam skeleton, producing excellent mechanical reliability, e.g., reversible compressibility at a compressive strain of 80% for 100 cycles. Moreover, these mechanically stable and porous PDMS modified PGR composites display excellent lipophilic-hydrophobic behavior, which provides good oil/solvent absorption capacity and highly efficient continuous oil/water separation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02663538
Volume :
171
Database :
Academic Search Index
Journal :
Composites Science & Technology
Publication Type :
Academic Journal
Accession number :
134151014
Full Text :
https://doi.org/10.1016/j.compscitech.2018.12.014