Literature DB >> 20867117

Scaling laws and mesoscopic modeling of thermal conductivity in carbon nanotube materials.

Alexey N Volkov1, Leonid V Zhigilei.   

Abstract

The scaling laws describing the thermal conductivity in random networks of straight conducting nanofibers are derived analytically and verified in numerical simulations. The applicability of the scaling laws to more complex structures of interconnected networks of bundles in carbon nanotube (CNT) films and mats is investigated in mesoscopic simulations. The heat transfer in CNT materials is found to be strongly enhanced by self-organization of CNTs into continuous networks of bundles. The thermal conductivity of CNT films varies by orders of magnitude depending on the length of the nanotubes and their structural arrangement in the material.

Entities:  

Year:  2010        PMID: 20867117     DOI: 10.1103/PhysRevLett.104.215902

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  4 in total

1.  Microstructural origin of resistance-strain hysteresis in carbon nanotube thin film conductors.

Authors:  Lihua Jin; Alex Chortos; Feifei Lian; Eric Pop; Christian Linder; Zhenan Bao; Wei Cai
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-12       Impact factor: 11.205

Review 2.  Review of Recent Developments on Using an Off-Lattice Monte Carlo Approach to Predict the Effective Thermal Conductivity of Composite Systems with Complex Structures.

Authors:  Feng Gong; Hai M Duong; Dimitrios V Papavassiliou
Journal:  Nanomaterials (Basel)       Date:  2016-07-30       Impact factor: 5.076

3.  Regulating heat conduction of complex networks by distributed nodes masses.

Authors:  Kezhao Xiong; Zhengxin Yan; You Xie; Zonghua Liu
Journal:  Sci Rep       Date:  2021-03-09       Impact factor: 4.379

4.  Heat diffusion-related damping process in a highly precise coarse-grained model for nonlinear motion of SWCNT.

Authors:  Heeyuen Koh; Shohei Chiashi; Junichiro Shiomi; Shigeo Maruyama
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

  4 in total

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