Literature DB >> 26558574

Model for the effective thermal conductivity of carbon nanotube composites.

Q Z Xue1.   

Abstract

We present a novel model of the effective thermal conductivity for carbon nanotube composites by incorporating the interface thermal resistance with an average polarization theory. The dependence of the effective thermal conductivity on nanotube length, diameter, concentration, and interface thermal resistance has been taken care of simultaneously in our treatment. The model predicts that the large length of the carbon nanotubes embedded plays a key role in the thermal conductivity enhancement, while the large interface thermal resistance across the nanotube-matrix interface causes a significant degradation. Interestingly, the model predicts that the nanotube diameter has a very small effect on the thermal conductivity enhancement of the nanotube composites. In addition, the model predicts that the thermal conductivity enhancement of nanotube composites increases rapidly with decreasing the thermal conductivity of the matrix and increases with increasing the thermal conductivity of the carbon nanotube. Predictions from the novel model are in excellent agreement with the experimentally observed values of the effective thermal conductivity of carbon nanotube nanofluids which the classical models have not been able to explain.

Entities:  

Year:  2006        PMID: 26558574     DOI: 10.1088/0957-4484/17/6/020

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  4 in total

1.  Discussion on the thermal conductivity enhancement of nanofluids.

Authors:  Huaqing Xie; Wei Yu; Yang Li; Lifei Chen
Journal:  Nanoscale Res Lett       Date:  2011-02-09       Impact factor: 4.703

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.  Impacts of Freezing Temperature Based Thermal Conductivity on the Heat Transfer Gradient in Nanofluids: Applications for a Curved Riga Surface.

Authors:  Syed Zulfiqar Ali Zaidi; Umar Khan; Naveed Ahmed; Syed Tauseef Mohyud-Din; Yu-Ming Chu; Ilyas Khan; Kottakkaran Sooppy Nisar
Journal:  Molecules       Date:  2020-05-05       Impact factor: 4.411

4.  Crosslinking effect of borax additive on the thermal properties of polymer-based 1D and 2D nanocomposites used as thermal interface materials.

Authors:  Geyang Chen; A A Yadav; In-Woo Jung; Junho Lee; Kyungwho Choi; Seok-Won Kang
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  4 in total

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