Mass Transfer – Introduction, Brownian Diffusion 1-1
Chapter 1
Organization, Introduction, Brownian Diffusion
20.09.2017
Max Eggersdorfer
Mass Transfer
Two mandatory tests (30%)
Dr. Wegner Dr. Büchel
Davide Dr. Yoon Dr. Güntner Pascal Jan Nicolay Sebastian
Mass Transfer – Introduction, Brownian Diffusion 1-2
Literature:
E.L. Cussler, “Diffusion, Mass Transfer in Fluid Systems”
2nd edition, 1997, Cambridge University Press
3rd edition, 2009, Cambridge University Press
(2009) (1997)
2 TESTS of 45 min.
October 24
November 28
Mass Transfer – Introduction, Brownian Diffusion 1-3
What is mass transfer?Oxford Dictionary:
1. Introduction
Why does one substance move through or into another?
How large is the driving force?
How fast does it move?
How far does it move?
How much of a substance moves?
…
Why do we care?
Mass Transfer – Introduction, Brownian Diffusion 1-4
1. Introduction
The driving force for mass transfer is a difference in chemical
potential. A substance moves from high to low chemical potential,
for example:
Tea from a tea bag in hot water
travels from high concentration to low concentration.
The mass transfer process is a slow, rate limiting step that:
• Limits efficiency of commercial distillations.
• Limits rate of industrial reactions with catalysts.
• Influences corrosion of metals and marbles.
• Controls the growth of microorganisms.
Mass Transfer – Introduction, Brownian Diffusion 1-5
Combustion a reaction-diffusion process
Photos: El-Hamdi, Michael Gorman, University of Houston,
Texas (1994)
Cylindrical flame from above:
The temperature of the flame is lower
in the dark regions.
Oxygen and fuel (hydrocarbon)
diffuse with different speeds
Increasing gas feed rate forms
increasingly complex patterns
Mass Transfer – Introduction, Brownian Diffusion 1-6
Examples from nature with diffusion limitations
Recommended reading:
Philip Ball «Shapes: Nature’s Patterns»
Mineral dendrites of manganese in limestone
Computer simulations of
diffusion-limited agglomeration
Mass Transfer – Introduction, Brownian Diffusion 1-7
Naillon, Joseph, Prat, J. Crystal Growth (2017)
Crystallization Pharmaceuticals
Paracetamol
Mass Transfer – Introduction, Brownian Diffusion 1-8
Spray-drying
http://www.sakav.com
Vehring, Foss, Lechuga-Ballesteros, J. Aerosol Sci. (2007) 728-746
Particle diffusion > evaporation
Particle diffusion < evaporation
Mass Transfer – Introduction, Brownian Diffusion 1-9
Types of Mass Transfer:
1. Molecular diffusion (or just diffusion).
Mass is transferred by the random motion of molecules across
a concentration gradient. Sometimes, but not always, this is
similar to heat transfer by conduction.
2. Eddy diffusion (mixing or dispersion or agitation).
Mass is transferred by finite parcels of fluids as in momentum
and heat transfer.
Approximate rates of diffusion in:
Gases: 10 cm/min (a lady with a nice perfume).
Liquids: 0.05 cm/min (stir cream into the coffee).
Solids: 0.00001 cm/min (takes long to rust an iron axe)
Mass Transfer – Introduction, Brownian Diffusion 1-10
Relationship with Momentum and Heat Transfer
Mass transfer is similar to momentum and heat transfer but there
is nothing equivalent to radiation heat transfer.
Molecular diffusion easily gives rise to convection something that
was not so with conduction heat transfer. This is distinguished by
talking about diffusion at low and high concentrations.
Mass Transfer – Introduction, Brownian Diffusion 1-11
Description of Mass Transfer
1. Molecular model (Fick’s laws and diffusivity).
This is an elegant model based on first principles that
everyone dreams of having to work with especially in physics,
physical chemistry and biology.
2. Mass transfer coefficient model (Mass Transfer correlations)
This is a model typically employed by chemical and process
engineers when the complexity of the process leaves little
space for elegance.
The choice between models is a compromise between ambition and
resources.
Mass Transfer – Introduction, Brownian Diffusion 1-12
Example for Models
Imagine two large bulbs with equal volume connected by a long
thin capillary at constant temperature.
2
1
N2
CO2
area
Measure now the
CO2 concentration
inside the bulb
containing nitrogen.
Goal: To determine physical properties that determine the amount
of mass transferred.
Mass Transfer – Introduction, Brownian Diffusion 1-13
Define the flux: 2
amount of gas from 1 to 2CO flux
time area
This removes the influence of a particular apparatus.
2
1
N2
CO2
area
Model 2: Recognize that the CO2 flux is proportional to CO2
concentration difference between 1 and 2.
2 2CO flux k (CO concentration difference)
k is a mass transfer coefficient and this is the mass transfer coefficient model.
Model 1: Recognize that increasing the length of the capillary will
decrease the flux.
2
concentration differenceCO flux
capillary length D
D is the diffusion coefficient and this is the other model or Fick’s first law.
Mass Transfer – Introduction, Brownian Diffusion 1-14
This is similar to electric circuits, Ohm’s law:
current voltage1
or = × orresistance
area × flux of electrons potential difference
Thus the mass transfer coefficient k is analogous to the reciprocal
of the resistance.
An alternative form to Ohm’s law is:
current density1 potential difference
or = ×resistivity length
flux of electrons
The diffusion coefficient D is analogous to the reciprocal of resistivity.
Mass Transfer – Introduction, Brownian Diffusion 1-15
In heat transfer k is analogous to the heat transfer coefficient h,
while D is analogous to thermal conductivity l.
Neither the k-model nor the D-model are always successful as
they depend heavily on assumptions made in their development.
For example: The flux CO2 concentration difference if the capillary
is too thin or if the gases react.
Similarly Ohm’s law is not always valid at very high voltages.
However, both Fick’s and Ohm’s law work well in most practical uses.
Resistance or resistivity give a clue about the choice of the 2 models:
Using the resistance is good for practical applications & rough
measurements. In contrast, resistivity is a fundamental material
property.
We start with the fundamental description of the diffusion coefficient,
the D-model, following with the description of the k-model later on.