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2.6 Multicomponent Diffusion

It is very complicated process and it is generally non-ideal and non-uniform. With the help of Maxwell-Stefan approach, analysis can be done.
(a) The approach is applied to binary mixture and then it is extended to multicomponent mixture.
(b) Basic assumptions at steady state: Difference in partial pressure of A over a small distance ΔZ is proportional to molar concentrations of A and B; diffusional path length and difference in velocities of A and B.
Therefore,
Multicomponent Diffusion | Mass Transfer - Chemical Engineering

Equation (2.66) is identical to Equation (1.21) of module 1 which was obtained from Fick’s law. Now consider a mixture of n components; (n-1) binary mixtures are there.
Multicomponent Diffusion | Mass Transfer - Chemical Engineering
where,
Multicomponent Diffusion | Mass Transfer - Chemical Engineering                                                                            (2.72)

Special case:
If all the components except i are non-diffusing or inert, i.e. Nj = 0 and j ≠ i, then
Multicomponent Diffusion | Mass Transfer - Chemical Engineering                                                                                               (2.73)
Integrating Equation (2.71) we have,
Multicomponent Diffusion | Mass Transfer - Chemical Engineering                                                                            (2.74) 

Multicomponent Diffusion | Mass Transfer - Chemical Engineering                                                                                   (2.75)
Kraaijeveld and Wesselingh (1993) proved that in some cases the diffusivity values of ions in a mixture of electrolytes or in ion-exchange can be negative.

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FAQs on Multicomponent Diffusion - Mass Transfer - Chemical Engineering

1. What is multicomponent diffusion in chemical engineering?
Ans. Multicomponent diffusion in chemical engineering refers to the process of mass transfer or diffusion of multiple chemical species or components in a mixture. It involves the movement of each component from an area of high concentration to an area of low concentration, leading to the establishment of concentration gradients. This phenomenon is crucial in various chemical processes, such as separation techniques, reactions, and transport phenomena.
2. How is multicomponent diffusion different from binary diffusion?
Ans. Multicomponent diffusion differs from binary diffusion in terms of the number of chemical components involved. Binary diffusion focuses on the diffusion of two components, whereas multicomponent diffusion deals with the diffusion of more than two components. In multicomponent diffusion, the presence of multiple components introduces additional complexities and interactions, leading to more intricate mass transfer phenomena.
3. What are the factors affecting multicomponent diffusion rates?
Ans. Several factors influence the rates of multicomponent diffusion. These factors include the concentration gradients of the components, the diffusivity or mobility of each component in the mixture, the temperature, the pressure, and the molecular size and shape of the components. Additionally, the presence of chemical reactions or interactions among the components can significantly affect the multicomponent diffusion rates.
4. How is multicomponent diffusion modeled in chemical engineering?
Ans. Multicomponent diffusion can be modeled using various mathematical approaches, such as the Maxwell-Stefan equations, the dusty gas model, or the Fick's law of diffusion. These models describe the diffusion fluxes of each component based on concentration gradients, diffusivities, and other relevant parameters. Additionally, computational methods and simulations can be employed to numerically solve the governing equations and obtain detailed insights into multicomponent diffusion behavior.
5. What are some applications of multicomponent diffusion in chemical engineering?
Ans. Multicomponent diffusion finds applications in various areas of chemical engineering. Some examples include the design and optimization of separation processes like distillation, absorption, and extraction, as well as in catalytic reactions and reaction engineering. Understanding multicomponent diffusion is also essential in the development of advanced materials, such as membranes for gas separation, polymers, and porous media.
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