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Modeling of the effective thermal conductivity of composite materials with FEM based on resistor networks approach

C. Yue ; Y. Zhang ; Z. L. Hu ; Johan Liu (Institutionen för mikroteknologi och nanovetenskap, Bionanosystem) ; Z. N. Cheng
Microsystem Technologies-Micro-and Nanosystems-Information Storage and Processing Systems (0946-7076). Vol. 16 (2010), 4, p. 633-639.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: particles, systems

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Denna post skapades 2010-03-19. Senast ändrad 2011-01-10.
CPL Pubid: 118146


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Institutioner (Chalmers)

Institutionen för mikroteknologi och nanovetenskap, Bionanosystem (2007-2015)


Elektroteknik och elektronik
Funktionella material

Chalmers infrastruktur