Minia University Faculty of Engineering Chemical Engineering Department

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Minia University Faculty of Engineering Chemical Engineering Department Course Title: Mass Transfer Course Code:

Minia University Faculty of Engineering Chemical Engineering Department Course Title: Mass Transfer Course Code: CHE 313 Third Year Course Coordinator: P r o f. D r. M o h a m m a d S h a w k y Lecture No. 8 DIFFUSIVITY for LIQUIDS

Contents n What is Diffusivity? n Determination of Diffusivity of Liquids : By Diaphragm

Contents n What is Diffusivity? n Determination of Diffusivity of Liquids : By Diaphragm Cell Method n Prediction of Diffusivity : 1. Stokes – Einstein Correlation (1905) 2. Wilke-Chang Correlation (1955) 3. Hayduk – Laudie Correlation (1974) 4. Hayduk – Minhas Correlation (1982) n Effect of Some Variables on Diffusivity of Liquids

What is Diffusivity? n The proportionality factor of Fick’s law is called diffusivity or

What is Diffusivity? n The proportionality factor of Fick’s law is called diffusivity or diffusion coefficient which can be defined as the ratio of the flux to its concentration gradient out-of-plane. n Dimensions: L 2 / θ n Units (SI): m 2 / s

Determination of Diffusivity in Liquids n Here, a certain value of diffusivity is obtained

Determination of Diffusivity in Liquids n Here, a certain value of diffusivity is obtained by, 1 - Practical Methods (Experimental – Literature) 2 - Prediction Methods n In a prediction method, we use correlations or empirical correlations which have no mathematical derivation.

Determination of Diffusivity There are few methods of determination of liquid-phase diffusivities. The most

Determination of Diffusivity There are few methods of determination of liquid-phase diffusivities. The most commonly used method is Diaphragm Cell Method • Diaphragm cell contains two compartments as shown in the figure. These are separated by diaphragm. • Let the area of the diaphragm is ‘a’ and porosity is ‘ε’. • Effective area for diffusion = a ε Diaphragm cell

(1) (2) and (3)

(1) (2) and (3)

Boundary conditions Therefore,

Boundary conditions Therefore,

Prediction of Diffusivity in Liquids 1. Stokes – Einstein Correlation (1905) Restrictions: Ø (Mwt)

Prediction of Diffusivity in Liquids 1. Stokes – Einstein Correlation (1905) Restrictions: Ø (Mwt) A (solute) ≥ 1000 kg/kmol Ø (Mwt)B (solvent) small Ø VA ≥ 0. 5 m 3 / kmol

2. a) Wilke-Chang Correlation (SI System) (1955) Restrictions: Ø (Mwt) A (solute) < 1000

2. a) Wilke-Chang Correlation (SI System) (1955) Restrictions: Ø (Mwt) A (solute) < 1000 kg/kmol Ø (Mwt)B (solvent) is small Ø VA ≥ 0. 5 m 3/kmol

Types of Solvents Associated Solvents Unassociated Solvents (1)Water ØW=2. 6 or 2. 26 (2)Methanol

Types of Solvents Associated Solvents Unassociated Solvents (1)Water ØW=2. 6 or 2. 26 (2)Methanol (CH 3 OH) ØM=1. 9 q Examples: Ether Heptane Benzene (3) Ethanol (CH 3 CH 2 OH) ØE= 1. 5 q Ø=1. 0 Hydrocarbons (all of them) q Acetone=0. 5

2. b) Wilke - Chang Correlation (Cgs System) (1955)

2. b) Wilke - Chang Correlation (Cgs System) (1955)

3. Hayduk – Laudie Correlation (1974)

3. Hayduk – Laudie Correlation (1974)

4. Hayduk – Minhas Correlation (SI) (1982) Restrictions: 1. Solute (A) If the solute

4. Hayduk – Minhas Correlation (SI) (1982) Restrictions: 1. Solute (A) If the solute is an organic acid and the solvent isn't water , methanol or butanol we should double parachor value (P) 2. Not Valid if Viscous Solvent B

Effect of Some Variables on Diffusivity of Liquids 1) Dynamic Viscosity 2) Temperature 3)

Effect of Some Variables on Diffusivity of Liquids 1) Dynamic Viscosity 2) Temperature 3) Molar Volume (Composition)

4) Associated Parameter (∅) 5) Molecular Weight 6) Parachor (Hayduke-Minhas)

4) Associated Parameter (∅) 5) Molecular Weight 6) Parachor (Hayduke-Minhas)

T h a n k Y o u

T h a n k Y o u