Modeling of the effective thermal conductivity of composite materials with FEM based on resistor networks approach
Journal article, 2010

In the present paper, a novel and efficient model was developed for predicting the effective thermal conductivity of the composite materials at different filler percentages. By introducing the relative radius as a parameter, the effective thermal conductivity can be predicted precisely when the thermal properties of filler and matrix are prescribed. The model employed the resistor network strategy to achieve a highly efficient prediction during the overall conductivity calculation. To verify this model, a wide range of two-phase composites, including Cu/PP, AlN/PI and a self-developed thermal conductive adhesive, were analyzed. The model-based simulation values showed good agreement with the experimental results. Moreover, a discussion on the effects of the newly-introduced parameter was given. Finally, the relationship between the filler radius variation and the thermal conductivity of the composite was studied.

systems

particles

Author

C. Yue

Shanghai University

Y. Zhang

Shanghai University

Z. L. Hu

Shanghai University

Johan Liu

Chalmers, Applied Physics, Electronics Material and Systems Laboratory

Zhaonian Cheng

Shanghai University

Microsystem Technologies

0946-7076 (ISSN)

Vol. 16 4 633-639

Subject Categories

Other Materials Engineering

Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Materials Science

DOI

10.1007/s00542-009-0984-1

More information

Created

10/6/2017