Model for thermal conductivity of CNT-nanofluids

被引：0
|
作者：
H. E. Patel
K. B. Anoop
T. Sundararajan
Sarit K. Das
机构：
[1] Indian Institute of Technology Madras,Department of Mechanical Engineering
来源：
Bulletin of Materials Science | 2008年 / 31卷
关键词：
Thermal conductivity; nanofluid; carbon nanotube (CNT); nano-suspension; heat transfer;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This work presents a simple model for predicting the thermal conductivity of carbon nanotube (CNT) nanofluids. Effects due to the high thermal conductivity of CNTs and the percolation of heat through it are considered to be the most important reasons for their anomalously high thermal conductivity enhancement. A new approach is taken for the modeling, the novelty of which lies in the prediction of the thermal behaviour of oil based as well as water based CNT nanofluids, which are quite different from each other in thermal characteristics. The model is found to correctly predict the trends observed in experimental data for different combinations of CNT nanofluids with varying concentrations.
引用
收藏
页码：387 / 390
页数：3
相关论文
共 50 条
  • [1] Model for thermal conductivity of CNT-nanofluids
    Patel, H. E.
    Anoop, K. B.
    Sundararajan, T.
    Das, Sarit K.
    [J]. BULLETIN OF MATERIALS SCIENCE, 2008, 31 (03) : 387 - 390
  • [2] MEASUREMENT OF EFFECTIVE THERMAL CONDUCTIVITY OF CNT-NANOFLUIDS BY TRANSIENT SHORT-WIRE METHOD
    Kohno, Masamichi
    Kimura, Koichi
    Moroe, Shogo
    Takata, Yasuyuki
    Woodfield, Peter. L.
    Fujii, Motoo
    [J]. MNHMT2009, VOL 1, 2010, : 407 - 412
  • [3] The interfacial layer effect on thermal conductivity of CNT nanofluids
    Pasrija, Ritu
    Srivastava, Sunita
    [J]. CURRENT SCIENCE, 2014, 107 (06): : 1001 - 1005
  • [4] The interfacial layer effect on thermal conductivity of CNT nanofluids
    [J]. Pasrija, Ritu, 1600, Indian Academy of Sciences (107):
  • [5] A Neural Regression Model for Predicting Thermal Conductivity of CNT Nanofluids with Multiple Base Fluids
    ZOU Hanying
    CHEN Cheng
    ZHA Muxi
    ZHOU Kangneng
    XIAO Ruoxiu
    FENG Yanhui
    QIU Lin
    ZHANG Xinxin
    WANG Zhiliang
    [J]. Journal of Thermal Science, 2021, 30 (06) : 1908 - 1916
  • [6] A Neural Regression Model for Predicting Thermal Conductivity of CNT Nanofluids with Multiple Base Fluids
    Zou Hanying
    Chen Cheng
    Zha Muxi
    Zhou Kangneng
    Xiao Ruoxiu
    Feng Yanhui
    Qiu Lin
    Zhang Xinxin
    Wang Zhiliang
    [J]. JOURNAL OF THERMAL SCIENCE, 2021, 30 (06) : 1908 - 1916
  • [7] A Neural Regression Model for Predicting Thermal Conductivity of CNT Nanofluids with Multiple Base Fluids
    Hanying Zou
    Cheng Chen
    Muxi Zha
    Kangneng Zhou
    Ruoxiu Xiao
    Yanhui Feng
    Lin Qiu
    Xinxin Zhang
    Zhiliang Wang
    [J]. Journal of Thermal Science, 2021, 30 : 1908 - 1916
  • [8] A model for thermal conductivity of nanofluids
    Emami-Meibodi, Majid
    Vafaie-Sefti, Mohsen
    Rashidi, Ali Morad
    Amrollahi, Azadeh
    Tabasi, Mohsen
    Sid-Kalal, Hossein
    [J]. MATERIALS CHEMISTRY AND PHYSICS, 2010, 123 (2-3) : 639 - 643
  • [9] A model of nanofluids thermal conductivity
    Wang, Jinbo
    Chen, Gang
    Zhang, Zongqin
    [J]. HT2005: Proceedings of the ASME Summer Heat Transfer Conference 2005, Vol 1, 2005, : 501 - 508
  • [10] Critical analysis of the thermal conductivity models for CNT based nanofluids
    Lamas, Bruno
    Abreu, Bruno
    Fonseca, Alexandra
    Martins, Nelson
    Oliveira, Monica
    [J]. INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2014, 78 : 65 - 76
12345