Mass Transfer Correlations Handbook v3.2 (Chilton–Colburn, Treybal, Perry)
The Mass Transfer Correlations Handbook v3.2 is a curated technical reference compendium that consolidates empirically validated dimensionless correlations for predicting mass transfer coefficients across common unit operations and geometries. It integrates foundational analogies (e.g., Chilton–Colburn j-factor analogy) and empirically derived correlations from authoritative sources including Treybal’s 'Mass Transfer Operations' and Perry’s 'Chemical Engineers’ Handbook'. Designed for process engineers and researchers, it bridges theoretical transport principles with practical design calculations.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Design and rating of absorbers and strippers
- ✓ Scale-up of liquid–liquid extraction equipment
- ✓ Prediction of drying rates in packed-bed dryers
📐 Key Formulas
Chilton–Colburn Analogy (j-factor)
j_D = \frac{Sh}{Re \cdot Sc^{1/3}} = f(Re, \text{geometry}, \text{surface roughness})
Relates mass transfer coefficient (via Sherwood number) to fluid dynamic conditions using Reynolds and Schmidt numbers; enables transfer of friction factor data to mass transfer prediction.
Treybal Correlation for Packed Beds (Gas Absorption)
Sh = 2.0 + 1.1 \, Re^{0.58} \, Sc^{0.33}
Empirical correlation for gas-phase mass transfer in randomly packed beds at Re = 10–10,000; used to estimate k_Ga (volumetric gas-phase mass transfer coefficient).
Perry’s Correlation for Stirred Vessels
Sh = 0.26 \, Re^{0.57} \, Sc^{0.33} \, \left(\frac{D}{T}\right)^{0.12}
Predicts mass transfer coefficient for gas dispersion in agitated tanks; accounts for impeller geometry via diameter-to-tank ratio (D/T).