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Title: Thermal conductivity model for nanofiber networks

Abstract

Understanding thermal transport in nanofiber networks is essential for their applications in thermal management, which are used extensively as mechanically sturdy thermal insulation or high thermal conductivity materials. In this study, using the statistical theory and Fourier's law of heat conduction while accounting for both the inter-fiber contact thermal resistance and the intrinsic thermal resistance of nanofibers, an analytical model is developed to predict the thermal conductivity of nanofiber networks as a function of their geometric and thermal properties. A scaling relation between the thermal conductivity and the geometric properties including volume fraction and nanofiber length of the network is revealed. This model agrees well with both numerical simulations and experimental measurements found in the literature. This model may prove useful in analyzing the experimental results and designing nanofiber networks for both high and low thermal conductivity applications.

Authors:
 [1]; ORCiD logo [2];  [1];  [1];  [3]
  1. Univ. of Colorado, Boulder, CO (United States)
  2. Univ. of Colorado, Boulder, CO (United States); China Univ. of Mining and Technology, Xuzhou (China)
  3. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1432440
Alternate Identifier(s):
OSTI ID: 1422261
Report Number(s):
NREL/JA-5500-71269
Journal ID: ISSN 0021-8979
Grant/Contract Number:  
AC36-08GO28308; AR0000743
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Applied Physics
Additional Journal Information:
Journal Volume: 123; Journal Issue: 8; Journal ID: ISSN 0021-8979
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
77 NANOSCIENCE AND NANOTECHNOLOGY; thermal transport; nanofibers; thermal insulation; thermal conductivity

Citation Formats

Zhao, Xinpeng, Huang, Congliang, Liu, Qingkun, Smalyukh, Ivan I., and Yang, Ronggui. Thermal conductivity model for nanofiber networks. United States: N. p., 2018. Web. doi:10.1063/1.5008582.
Zhao, Xinpeng, Huang, Congliang, Liu, Qingkun, Smalyukh, Ivan I., & Yang, Ronggui. Thermal conductivity model for nanofiber networks. United States. doi:10.1063/1.5008582.
Zhao, Xinpeng, Huang, Congliang, Liu, Qingkun, Smalyukh, Ivan I., and Yang, Ronggui. Thu . "Thermal conductivity model for nanofiber networks". United States. doi:10.1063/1.5008582.
@article{osti_1432440,
title = {Thermal conductivity model for nanofiber networks},
author = {Zhao, Xinpeng and Huang, Congliang and Liu, Qingkun and Smalyukh, Ivan I. and Yang, Ronggui},
abstractNote = {Understanding thermal transport in nanofiber networks is essential for their applications in thermal management, which are used extensively as mechanically sturdy thermal insulation or high thermal conductivity materials. In this study, using the statistical theory and Fourier's law of heat conduction while accounting for both the inter-fiber contact thermal resistance and the intrinsic thermal resistance of nanofibers, an analytical model is developed to predict the thermal conductivity of nanofiber networks as a function of their geometric and thermal properties. A scaling relation between the thermal conductivity and the geometric properties including volume fraction and nanofiber length of the network is revealed. This model agrees well with both numerical simulations and experimental measurements found in the literature. This model may prove useful in analyzing the experimental results and designing nanofiber networks for both high and low thermal conductivity applications.},
doi = {10.1063/1.5008582},
journal = {Journal of Applied Physics},
number = 8,
volume = 123,
place = {United States},
year = {Thu Feb 22 00:00:00 EST 2018},
month = {Thu Feb 22 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on February 22, 2019
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Works referenced in this record:

Percolating Conduction in Finite Nanotube Networks
journal, August 2005