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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];  [3];  [4];  [5]
  1. Department of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, USA
  2. Department of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, USA; School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
  3. Department of Physics, University of Colorado, Boulder, Colorado 80309, USA
  4. Department of Physics, University of Colorado, Boulder, Colorado 80309, USA; Materials Science and Engineering Program, University of Colorado, Boulder, Colorado 80309, USA
  5. Department of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, USA; Materials Science and Engineering Program, University of Colorado, Boulder, Colorado 80309, USA; Buildings and Thermal Systems Center, National Renewable Energy Laboratory, Golden, Colorado 80401, USA
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
Report Number(s):
NREL/JA-5500-71269
Journal ID: ISSN 0021-8979
DOE Contract Number:
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Applied Physics; Journal Volume: 123; Journal Issue: 8
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. Wed . "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 = {Wed Feb 28 00:00:00 EST 2018},
month = {Wed Feb 28 00:00:00 EST 2018}
}