Mixtures concentrated, effective conductivity

Besides these examples, knowing the relationship between the mixture effective conductivity and the porosity or the concentration of the dispersed phase is important. Such a relation can be used to predict other transport coefficients such as the diffusion coefficient, dielectric constant, and thermal conductivity. Of course, such relations are useful in many practical applications. 

Effective Conductivity of Concentrated Mixtures. So far, we have considered dilute mixtures of random spheres (68). This case has defined boundaries and consequently, equation 19 has a rigorous solution. Unfortunately, a rigorous solution is not possible for random concentrated suspensions for which it is very difficult to describe the boundaries. Because of this difficulty, it was necessary to introduce more simplifying assumptions. In this section, the most important approaches are reviewed. 

When electrons traverse an alloy rather than a pure metal, tire scattering of electrons is different at tire ion core of each chemical species and so the conductivity reflects a mixture of the effects due to each species. In a series of copper alloys it was found that the resistance, which is the reciprocal of the conductivity, is a parabolic function of tire concentration of the major element... 

To maintain a high polymerization rate at high conversions, reduce the residual amount of the monomer, and eliminate the adverse process of polyacrylamide structurization, polymerization is carried out in the adiabatic mode. An increase in temperature in the reaction mixture due to the heat evolved in the process of polymerization is conductive to a reduction of the system viscosity even though the polymer concentration in it rises. In this case, the increase in flexibility and mobility of macromolecules shifts the start of the oncoming gel effect into the range of deep transformation or eliminates it completely. 

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