TY - JOUR
T1 - Graphene based silicone thermal greases
AU - Yu, Wei
AU - Xie, Huaqing
AU - Chen, Lifei
AU - Zhu, Zhigang
AU - Zhao, Junchang
AU - Zhang, Zhenhai
PY - 2014/1/10
Y1 - 2014/1/10
N2 - Two kinds of silicone grease containing graphene nanoplatelets or reduced graphene oxide were prepared, and their thermophysical properties have been investigated. When the volume fraction was 1%, the reduced graphene oxide was the most effective additive to enhance the heat transfer properties of silicone, and graphene nanoplatelet was slightly inferior to the former. While when the concentration was enhanced, the viscosity of silicone grease containing reduced graphene oxide became very large due to its rich pore structure. Graphene nanoplatelet was efficient for the thermal conductivity enhancement of silicone grease, and it provided a thermal conductivity enhancement was up to 668% (loading of 4.25 vol.%). The experimental result is in excellent agreement with the recently developed theoretical model analyzing the thermal conductivity of isotropic composites containing randomly embedded GNPs, and it validates that graphene is an effective thermally conducting filler to let grease have high thermal conductivity with low filler content.
AB - Two kinds of silicone grease containing graphene nanoplatelets or reduced graphene oxide were prepared, and their thermophysical properties have been investigated. When the volume fraction was 1%, the reduced graphene oxide was the most effective additive to enhance the heat transfer properties of silicone, and graphene nanoplatelet was slightly inferior to the former. While when the concentration was enhanced, the viscosity of silicone grease containing reduced graphene oxide became very large due to its rich pore structure. Graphene nanoplatelet was efficient for the thermal conductivity enhancement of silicone grease, and it provided a thermal conductivity enhancement was up to 668% (loading of 4.25 vol.%). The experimental result is in excellent agreement with the recently developed theoretical model analyzing the thermal conductivity of isotropic composites containing randomly embedded GNPs, and it validates that graphene is an effective thermally conducting filler to let grease have high thermal conductivity with low filler content.
KW - Graphene
KW - Silicone
KW - Thermal conductivity
KW - Thermal grease
UR - http://www.scopus.com/inward/record.url?scp=84891745851&partnerID=8YFLogxK
U2 - 10.1016/j.physleta.2013.10.017
DO - 10.1016/j.physleta.2013.10.017
M3 - Article
AN - SCOPUS:84891745851
SN - 0375-9601
VL - 378
SP - 207
EP - 211
JO - Physics Letters, Section A: General, Atomic and Solid State Physics
JF - Physics Letters, Section A: General, Atomic and Solid State Physics
IS - 3
ER -
