L. V. Ravichev, S. I. Ilyina, V. Ya. Loginov, V. I. Bykov, A. A. Titov
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Mathematical Description of Electric Mass-Transfer Processes Based on Substance Transfer Equation
Studies of the electrodialysis separation processes under pulsed current have faced problems related to the lack of a mathematical description of the electric mass-transfer processes, taking into account unsteady current modes. The main problem when describing electric mass-transfer processes is the presence of two driving forces, namely the electric potential gradient and the concentration gradient. The objective of the present work is creating a criterion equation describing charge transfer, derived by analogy with the derivation of the substance-transfer equations. As a result, a convective electrical conductivity equation is derived, which expresses in general terms the charge-density distribution in a moving flow. The obtained equation allows us to derive the criteria of electrical similarity, namely the electrical Peclet and Prandtl numbers. The obtained electrical numbers are compared with the classical criteria in terms of their dimensionalities. Using the obtained numbers, the Nusselt number for electric mass-transfer processes is derived, which takes into account the substance transfer both due to the concentration gradient and due to the potential difference, as well as the influence on the electrodialysis separation process of the operating and limiting current density and the geometrical parameters of the plant.
期刊介绍:
Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.