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In addition, a simple and explicit formula for optimally determined macroscopic conductivity is derived by solving a nonlinear minimization problem.
For a model with highly varying and multiscale conductivity, its macroscopic conductivity is approximated by using a mortar method.
Macroscopic conductivity is useful in forming macroscopic models for porous media flow applications and in the setting of multiscale fast solvers.
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Its macroscopic electrical conductivity is mainly dominated by the inter-particle junction behavior [1].
However, these nanocomposites also exhibit undesirable properties such as damage-sensitive and history-dependent conductivity because their macroscopic electrical conductivity is largely determined by the tunneling effect at the tube/tube interface.
The relationship between effective bond conductance and macroscopic permeability (the hydraulic analog of d.c. conductivity) is discussed.
Low thermal conductivity is required.
The best conductivity is copper.
The behaviour of EBC conductivity is an important comparative parameter.
This raises the promise that, with optimal alignment and junction points, even higher values of thermal conductivity are achievable for macroscopic CNT fibres.
Conductivity was measured with conductivity meter handylab LF11 (Schott Instruments).
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