Introduction & Context

Solvent recovery via distillation is a critical unit operation in chemical process engineering, primarily utilized to reclaim high-value solvents from process waste streams. The efficiency of this recovery process is heavily dependent on the mass transfer kinetics occurring within the packed column. Understanding the mass transfer coefficient is essential for sizing the column height and determining the required packing volume to achieve a target separation purity. This calculation provides the theoretical framework for estimating the gas-phase mass transfer coefficient, which governs the rate at which solvent molecules migrate from the liquid phase into the vapor phase.

Methodology & Formulas

The calculation follows a dimensionless analysis approach to determine the mass transfer coefficient based on the physical properties of the vapor phase and the hydrodynamic conditions within the packed bed.

First, the vapor density ρ is determined using the ideal gas law, and the dynamic viscosity μ is derived from the kinematic viscosity ν:

\[ \rho = \frac{P \cdot M_{W}}{R \cdot T} \] \[ \mu = \nu \cdot \rho \]

Next, the dimensionless numbers characterizing the flow regime and mass transfer behavior are calculated. The Schmidt number (Sc) represents the ratio of momentum diffusivity to mass diffusivity, while the Reynolds number (Re) characterizes the inertial forces relative to viscous forces within the packing:

\[ Sc = \frac{\nu}{D_{AB}} \] \[ Re = \frac{v \cdot L}{\nu} \]

The Sherwood number (Sh) is then determined using an empirical correlation suitable for packed beds, which relates the mass transfer rate to the flow regime:

\[ Sh = 0.357 \cdot Re^{0.641} \cdot Sc^{1/3} \]

Finally, the gas-phase mass transfer coefficient (kG) is calculated by relating the Sherwood number to the diffusion coefficient and the characteristic length of the packing element:

\[ k_{G} = \frac{Sh \cdot D_{AB}}{L} \]
Parameter Regime / Condition Threshold
Flow Regime Packed Bed Correlation Validity 10 ≤ Re ≤ 1000