Journal
CARBON
Volume 149, Issue -, Pages 281-289Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2019.04.043
Keywords
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Funding
- National Key R&D Program of China [2016YFA0202302]
- National Natural Science Funds for Distinguished Young Scholars program [51425306]
- State Key Program of the National Natural Science Foundation of China [51633007]
- National Outstanding Youth Talent Program (2019)
- National Natural Science Foundation of China [51573125, 51773147, 51803151]
- Scientific and Technological Commission of China
- National Science Foundation of Tianjin [18JCQNJC03100]
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Thermally conductive carbon-based composites in the cross-plane direction is of significant importance for efficient heat dissipation. Fabricating one-dimensional (1D) ordered structure at the interlayer of graphite (GT) effectively improves its cross-plane thermal conductivity (k(perpendicular to)). However, this structure deteriorates during subsequent hot-pressing owing to its low structural stability. Herein we report a three-dimensional (3D) graphene-coated vertically aligned carbon nanotubes (VACNTs)/graphite (GT) composite with high k(perpendicular to) value. A uniform coating of reduced graphene oxide (rGO) on VANCTs results in efficient heat conduction throughout the large-area, bendable nanosheets and forms ordered arrays in the cross-plane direction owing to the high structural integrity. The thermal conductivity of the graphite-based blocks prepared by hot-pressing can be controlled via combined effects of the length of the VACNTs used for the two-dimensional (2D) coating and uniformity of the rGO coating. With a relatively low density (1.67 g/cm(3)), the rGO-VACNTs/GT composite exhibits a maximum k(perpendicular to) value of 32.96 W/m.K, 60% higher than VACNTs/GT (20.1 W/m.K; density = 1.85 g/cm(3)). Laser-induced thermochromic patterns confirm that the rGO-VACNTs/GT composite exhibits excellent heat conduction. Thus, 2D-coated/1D array assemblies can be developed for advanced high-strength and thermally-conductive materials by optimizing their hierarchical microstructure. (C) 2019 Elsevier Ltd. All rights reserved.
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