• 文献标题:   Measurement and modeling of thermal conductivity of graphene nanoplatelet water and ethylene glycol base nanofluids
  • 文献类型:   Article
  • 作  者:   GAO YG, WANG HC, SASMITO AP, MUJUMDAR AS
  • 作者关键词:   graphene, nanofluid, thermal conductivity, modeling
  • 出版物名称:   INTERNATIONAL JOURNAL OF HEAT MASS TRANSFER
  • ISSN:   0017-9310 EI 1879-2189
  • 通讯作者地址:   McGill Univ
  • 被引频次:   15
  • DOI:   10.1016/j.ijheatmasstransfer.2018.02.089
  • 出版年:   2018

▎ 摘  要

Three graphene nanoplatelet (GNP) nanofluids with different base fluids, viz. ethylene glycol (EG), deionized water (DW), and EG/DW (1:1) were prepared and characterized. The stability of GNP nanofluid was analyzed. Thermal conductivity was tested over the temperature range -20 degrees C to 50 degrees C. A new model is proposed for the effective thermal conductivity of the GNP nanofluid considering Brownian motion, length, thickness, average flatness ratio and interfacial thermal resistance of GNP, and it was compared with Maxwell, H-C and Chu models. The maximum thermal conductivity enhancement of EG, EG/DW (1:1) and DW based nanofluid is 4.6%, 18% and 6.8% respectively. Interestingly, the thermal conductivity of EG based GNP nanofluids does not show appreciable enhancement. The thermal conductivity enhancement of EG/DW (1:1) GNP nanofluid is greater than that of pure EG GNP nanofluid. In particular, the enhancement ratio at subzero temperature is larger than that at higher temperatures. The new model and Chu model are in agreement with the experimental data, and the new model is more rational for the GNP nanofluids. The new model shows that the influence of Brownian motion of GNP on thermal conductivity is significant at higher temperatures, higher concentration and smaller nanoparticles. (C) 2018 Elsevier Ltd. All rights reserved.