Paper Title:
Estimation of the Temperature-Dependent Thermal Conductivity of Multi-Phase Materials
  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.

  Info
Periodical
Chapter
Session 1: Mechanical Engineering and Materials Science
Edited by
Honghua Tan
Pages
34-39
DOI
10.4028/www.scientific.net/AMR.340.34
Citation
H. F. Zhang, P. X. Li, L. Q. He, "Estimation of the Temperature-Dependent Thermal Conductivity of Multi-Phase Materials", Advanced Materials Research, Vol. 340, pp. 34-39, 2012
Online since
September 2011
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$32.00
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