Modeling Kapitza resistance of two-phase composite material

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Bo He
  • Bohayra Mortazavi
  • Xiaoying Zhuang
  • Timon Rabczuk

Research Organisations

External Research Organisations

  • Tongji University
  • Bauhaus-Universität Weimar
  • Ton Duc Thang University
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Details

Original languageEnglish
Pages (from-to)939-946
Number of pages8
JournalComposite Structures
Volume152
Publication statusPublished - 15 Jun 2016

Abstract

We predict the thermal conductivity of polymer-matrix composites accounting for the interface conductance. We also study the influence of different fillers, i.e. spherical, cylindrical and plate-like fillers (fullerene, carbon nanotubes and graphene sheets) with different ratios (plate diameter to plate thickness and length to diameter ratios for plate-like and cylindrical fillers, respectively). Therefore, we exploit computational homogenization based on representative volume elements (RVEs). We also compare the results to analytical homogenization methods, i.e. the Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method; the first method accounts for the interface conductance. As expected, the highest increase in the thermal conductivity is achieved for the cylindrical fillers due to the highest surface-to-volume ratio. Simulations at the nano- and micro-scale reveal that the interface conductance looses relevance at the larger length scales while it has a substantial influence at the nano-scale. Furthermore, we demonstrate that functionalization and increasing the number of segregated graphene sheets can significantly increase the thermal conductivity. Our 3D finite element model reveals that Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method cannot be considered as accurate modeling approaches to predict the thermal conductivity of nanocomposite materials. Our investigation therefore highlights the need for more elaborated models in order to more reliably predict the heat transfer of the nanocomposite structures.

Keywords

    Exfoliation, Functionalization, Kapitza resistance

ASJC Scopus subject areas

Cite this

Modeling Kapitza resistance of two-phase composite material. / He, Bo; Mortazavi, Bohayra; Zhuang, Xiaoying et al.
In: Composite Structures, Vol. 152, 15.06.2016, p. 939-946.

Research output: Contribution to journalArticleResearchpeer review

He B, Mortazavi B, Zhuang X, Rabczuk T. Modeling Kapitza resistance of two-phase composite material. Composite Structures. 2016 Jun 15;152:939-946. doi: 10.1016/j.compstruct.2016.06.025
He, Bo ; Mortazavi, Bohayra ; Zhuang, Xiaoying et al. / Modeling Kapitza resistance of two-phase composite material. In: Composite Structures. 2016 ; Vol. 152. pp. 939-946.
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AU - He, Bo

AU - Mortazavi, Bohayra

AU - Zhuang, Xiaoying

AU - Rabczuk, Timon

N1 - Funding information: The authors gratefully acknowledge the National Basic Research Program of China (973 Program: 2011CB013800 ), Shanghai Qimingxing Program ( 16QA1404000 ) and the Ministry of Science and Technology of China (Grant No. SLDRCE14-B-31 ). The authors also acknowledge the SOfia Kovalevskaja Prize of the Humboldt Foundation awarded to Dr. Zhuang.

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N2 - We predict the thermal conductivity of polymer-matrix composites accounting for the interface conductance. We also study the influence of different fillers, i.e. spherical, cylindrical and plate-like fillers (fullerene, carbon nanotubes and graphene sheets) with different ratios (plate diameter to plate thickness and length to diameter ratios for plate-like and cylindrical fillers, respectively). Therefore, we exploit computational homogenization based on representative volume elements (RVEs). We also compare the results to analytical homogenization methods, i.e. the Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method; the first method accounts for the interface conductance. As expected, the highest increase in the thermal conductivity is achieved for the cylindrical fillers due to the highest surface-to-volume ratio. Simulations at the nano- and micro-scale reveal that the interface conductance looses relevance at the larger length scales while it has a substantial influence at the nano-scale. Furthermore, we demonstrate that functionalization and increasing the number of segregated graphene sheets can significantly increase the thermal conductivity. Our 3D finite element model reveals that Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method cannot be considered as accurate modeling approaches to predict the thermal conductivity of nanocomposite materials. Our investigation therefore highlights the need for more elaborated models in order to more reliably predict the heat transfer of the nanocomposite structures.

AB - We predict the thermal conductivity of polymer-matrix composites accounting for the interface conductance. We also study the influence of different fillers, i.e. spherical, cylindrical and plate-like fillers (fullerene, carbon nanotubes and graphene sheets) with different ratios (plate diameter to plate thickness and length to diameter ratios for plate-like and cylindrical fillers, respectively). Therefore, we exploit computational homogenization based on representative volume elements (RVEs). We also compare the results to analytical homogenization methods, i.e. the Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method; the first method accounts for the interface conductance. As expected, the highest increase in the thermal conductivity is achieved for the cylindrical fillers due to the highest surface-to-volume ratio. Simulations at the nano- and micro-scale reveal that the interface conductance looses relevance at the larger length scales while it has a substantial influence at the nano-scale. Furthermore, we demonstrate that functionalization and increasing the number of segregated graphene sheets can significantly increase the thermal conductivity. Our 3D finite element model reveals that Maxwell–Garnett type effective medium approximation (MG-EMA) and the Mori–Tanaka method cannot be considered as accurate modeling approaches to predict the thermal conductivity of nanocomposite materials. Our investigation therefore highlights the need for more elaborated models in order to more reliably predict the heat transfer of the nanocomposite structures.

KW - Exfoliation

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