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Bob Hansen

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?P = Pressure Drop Across Bed. = Wort Viscosity. L= Bed Depth. Modified Darcy Equation. Application of filter theory. Q= K A ?P. L. = Wort Viscosity } ... – PowerPoint PPT presentation

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Title: Bob Hansen


1
Practical Application of Lauter tun Theory
Bob Hansen Briess Malt Ingredients Co. 2008
MBAA
2
Lauter tun theory
  • What is a Lauter tun?

A filter
An extraction (leaching) device
3
Lauter tun Objectives
  • Speed of separation
  • Theory of filter flow

Separation efficiency Theory of extraction
4
Basic Equations and Terminology
  • Modified Darcy Equation

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
5
Application of filter theory
Q K A ?P µ L
µ Wort Viscosity
25 increase
6
Application of filter theory
Q K A ?P µ L
µ Wort Viscosity
31
7
Plato
Flow rate
Gallons
8
Application 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
9
Application 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
10
Sparge rate
Plato
Flow rate
Gallons
11
Application of filter theory
Q K A ?P µ L
A Lauter Tun Area
Ensure Clean and Unblocked Screens to Maximize A
12
Application of filter theory
Q K A ?P µ L
K Bed Permeability
13
Extraction/ Leaching theory
Liquid Mixing/Diffusion
Plato
Particle Diffusion
Gallons
14
Extraction/ Leaching theory
Extraction Loss a 1/n
15
Example
  • 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?

16
Basic Equations and Terminology
Q K A ?P µ L
µ Wort Viscosity
1.51
17
Example
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
18
ThankYou
Bob Hansen Briess Malt Ingredients Co. Chilton,
Wisconsin USA 2008 MBAA
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