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Estimation of the Temperature-Dependent Thermal Conductivity of Multi-Phase Materials

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Abstract:

Two Models for Estimating the Effective Thermal Conductivity (kE) of Multi-Phase Materials Are Comparatively Investigated. the First Model Is the Effective Medium Approximation (EMA), which Is Based on the Extension of the Percolation Theory. the Second Is the Randomly Mixed Model (RMM), a Numerical Method in which All Components Are Seen as Cubech_cubecucube in Shape and Are Randomly Dispersed inside the Space. Two Models Can Be Directly Applied to Multi-Phase Media without Empirical Parameters. Compared with Experimental Data of Food Materials in the Literature, Two Models both Give Good Estimations of the Temperature-Dependent KE.

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Periodical:

Advanced Materials Research (Volume 340)

Pages:

34-39

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.340.34

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Online since:

September 2011

Authors:

Hai Feng Zhang, Peng Xin Li, Li Qun He

Keywords:

Effective Medium Approximation (EMA), Effective Thermal Conductivity, Multi-Phase Materials, Randomly Mixed Model (RMM), Temperature-Dependent Characteristic

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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