Title: Bob Hansen
1Practical Application of Lauter tun Theory
Bob Hansen Briess Malt Ingredients Co. 2008
MBAA
2Lauter tun theory
A filter
An extraction (leaching) device
3Lauter tun Objectives
- Speed of separation
- Theory of filter flow
Separation efficiency Theory of extraction
4Basic Equations and Terminology
Q K A ?P µ L Where Q Wort Flow K Mash bed
permeability A Lauter tun area ?P
Pressure Drop Across Bed µ Wort Viscosity L
Bed Depth
5Application of filter theory
Q K A ?P µ L
µ Wort Viscosity
25 increase
6Application of filter theory
Q K A ?P µ L
µ Wort Viscosity
31
7Plato
Flow rate
Gallons
8Application of filter theory
Q K A ?P µ L
L Bed Depth
L a Batch Size
L Bed Volume / A
Q K A2 ?P µ Bed Volume
9Application of filter theory
Q K A ?P µ L
?P Pressure Drop Across Bed
?P gt 10 Inches Lead to Bed collapse
Limited to a few PSI by height of Liquid
10Sparge rate
Plato
Flow rate
Gallons
11Application of filter theory
Q K A ?P µ L
A Lauter Tun Area
Ensure Clean and Unblocked Screens to Maximize A
12Application of filter theory
Q K A ?P µ L
K Bed Permeability
13Extraction/ Leaching theory
Liquid Mixing/Diffusion
Plato
Particle Diffusion
Gallons
14Extraction/ Leaching theory
Extraction Loss a 1/n
15Example
- I normally make 10 Plato beer (16 Plato first
worts) and collect initially at 10 gallons per
minute. - Im going to make a 20 Plato beer with 24 Plato
first worts. - What can I expect?
16Basic Equations and Terminology
Q K A ?P µ L
µ Wort Viscosity
1.51
17Example
Q K A ?P µ L
L(new) 2 L (old)
µ (new) 1.5 µ(old)
Youde expect to have ?Ps 3 times higher than
you normally experience
May want to run off first worts much slower
18ThankYou
Bob Hansen Briess Malt Ingredients Co. Chilton,
Wisconsin USA 2008 MBAA