The Friction Coefficient Investigation during Electrochemical Baromembrane Separation of Model Solutions

Authors

  • K.V. Shestakov Tambov State Technical University, 392000, Tambov, Russia

DOI:

https://doi.org/10.6000/1929-5030.2022.11.08

Keywords:

Membrane, friction coefficients, separation, solution, mass transfer

Abstract

A large number of scientific papers in recent decades have been devoted to the mathematical description of a mass transfer of substances through membranes. The choice of a mathematical model is to be carried out depending on the specific separation process used. This study represents a verification of how the predicted value of the solute flow density obtained using pre-calculated friction coefficients corresponds to real experimental data for electrochemical baromembrane separation of model solutions. The experimental and theoretically calculated values of the Ni (II), Cu (II), and Fe (III) cations flux density through the heterogeneous cellulose acetate membranes MGA-95 and MGA-100 are compared. It is established that the use of the mass transfer friction model is quite effective in predicting the kinetic characteristics of electrochemical membrane separation of solutions using semipermeable membranes. The calculation error in most cases is within one percent.

References

Yaroslavtsev AB. Membranes and membranes technologies. Nauchnyi mir 2013; 612 (in Russian).

Uzdenova AM. Simulation of electroconvection in membrane systems: analysis of boundary conditions at the surface. Fundamental Research 2016; 12(5): 1010-17. https://doi.org/10.17513/fr.41208

Shestakov KV, Lazarev SI, Khokhlov PA, Polyanskiy KK. The prediction of the electrochemical baromembrane separation process of industrial solutions is based on the friction theory. Theor Found Chem Eng 2021; 6: 1219-28. https://doi.org/10.1134/S0040579521050304

Published

2022-02-21

How to Cite

Shestakov, K. (2022). The Friction Coefficient Investigation during Electrochemical Baromembrane Separation of Model Solutions. Journal of Applied Solution Chemistry and Modeling, 11, 35–38. https://doi.org/10.6000/1929-5030.2022.11.08

Issue

Section

Membrane Technologies