2016
DOI: 10.1016/j.applthermaleng.2016.03.155
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A reconstruction of Maxwell model for effective thermal conductivity of composite materials

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Cited by 80 publications
(32 citation statements)
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“…Moreover, the quasi steady-state model for estimating thermal conductivity of PCM was verified with experimental results (Kothari et al., 2019). Furthermore, the predictive effective thermal conductivity models of composite materials were developed using Maxwell model (Xu et al., 2016), Agari and Uno model (Agari et al., 1990), Russell model (Russell, 1935) and fractal theory (Zheng et al., 2019). These analytical models depend on composition and geometry of composite materials.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the quasi steady-state model for estimating thermal conductivity of PCM was verified with experimental results (Kothari et al., 2019). Furthermore, the predictive effective thermal conductivity models of composite materials were developed using Maxwell model (Xu et al., 2016), Agari and Uno model (Agari et al., 1990), Russell model (Russell, 1935) and fractal theory (Zheng et al., 2019). These analytical models depend on composition and geometry of composite materials.…”
Section: Introductionmentioning
confidence: 99%
“…Xu et al [93] accounted for the effect of microstructures on κ eff by modifying the Maxwell-Garnett model using a linear combination of the mesoscale control volume. They considered the particle connection mechanism by adding the resistance between the continuous phase of particles ( Figure 8) [8,93]. Based on the modified Maxwell-Garnett model, κ eff can be calculated from the relation…”
Section: Theoretical and Numerical Modelingmentioning
confidence: 99%
“…Fig. 2: Illustration of Maxwell's modeling to the effective thermal conductivity of a heterogeneous sphere containing spherical particles [32] (4)…”
Section: Special Reviewmentioning
confidence: 99%