ChemProCal
Knowledge Base + New Calculation Login Sign Up
Mass Transfer Diffusivity Chapman-Enskog Wilke-Chang

Molecular Diffusivity & Binary Diffusion

Learn how to estimate the diffusion coefficient (D_AB) for gases and liquids using Chapman-Enskog and Wilke-Chang correlations.

Published
October 14, 2026
Reading Time
~2 Minutes
Author / Review
ChemProCal Editorial Board
📑 Table of Contents (Tap to view sections)

    The Core Parameter: $D_{AB}$

    In mass transfer, the Diffusion Coefficient ($D_{AB}$) is the exact equivalent of thermal conductivity ($k$) in heat transfer. It represents the physical ease with which Component A can migrate through Component B.

    Diffusivity values vary drastically depending on the physical state of the fluid:

    • Gases: $D_{AB} \approx 10^{-5} \ m^2/s$. Gas molecules are far apart and move rapidly, so diffusion is fast.
    • Liquids: $D_{AB} \approx 10^{-9} \ m^2/s$. Liquid molecules are tightly packed. Component A must physically push Component B molecules out of the way to move. Liquid diffusion is roughly 10,000 times slower than gas diffusion!
    • Solids: $D_{AB} \approx 10^{-14} \ m^2/s$. Diffusion through a solid catalyst pore is excruciatingly slow.

    Predicting Diffusivity in Gases: Chapman-Enskog

    For non-polar gas mixtures at low to moderate pressures, engineers use the Chapman-Enskog kinetic theory to calculate $D_{AB}$. The equation proves that gas diffusivity is highly sensitive to temperature and pressure:

    $$ D_{AB} \propto \frac{T^{1.5}}{P} $$

    This relationship is critical for process design:

    1. Temperature: If you raise the temperature in a gas scrubber, the molecules vibrate faster, and diffusivity increases exponentially. Mass transfer becomes much more efficient.
    2. Pressure: If you increase the pressure, the gas molecules are squeezed together. The mean free path drops, and molecules constantly collide. Diffusivity is inversely proportional to pressure. Therefore, high-pressure absorbers have notoriously poor molecular diffusivity!

     

    Predicting Diffusivity in Liquids: Wilke-Chang

    Liquid diffusivity is much harder to predict because of complex intermolecular forces. The industry standard empirical correlation is the Wilke-Chang Equation (a modification of the Stokes-Einstein relation):

    $$ D_{AB} = \frac{1.173 \times 10^{-16} \cdot (\phi M_B)^{0.5} \cdot T}{\mu_B \cdot V_A^{0.6}} $$

    Where:

    • $T$ = Absolute temperature (K)
    • $\mu_B$ = Viscosity of the solvent B (Pa·s or kg/m·s)
    • $V_A$ = Molar volume of the solute A at its normal boiling point ($m^3/kmol$)
    • $M_B$ = Molecular weight of solvent B
    • $\phi$ = Association factor of the solvent (2.6 for water, 1.0 for unassociated non-polar solvents like benzene)

    The Role of Viscosity: Notice that $D_{AB}$ is inversely proportional to the solvent viscosity ($\mu_B$). If you try to absorb a gas into a highly viscous solvent (like heavy crude oil or cold TEG), the diffusivity plummets, and the absorption column must be built massively tall to compensate.

    
    Apply This Fundamental

    Gas Scrubber

    Apply this methodology directly in the ChemProCal calculator.

    Open Calculator →
    ⚡ Interactive Estimator

    e.g., 1.5 for gases, 0.0001 for liquids
    Mass Transfer Coefficient ($k_c$)
    -- m/s
    Molar Diffusion Flux ($N_A$)
    -- kmol / m²·s

    Adjust parameters below to test the methodology equations in real time before running full simulations:

    e.g., 1.5 for gases, 0.0001 for liquids
    Mass Transfer Coefficient ($k_c$)
    -- m/s
    Molar Diffusion Flux ($N_A$)
    -- kmol / m²·s