The frothy foam on top of beer is produced by bubbles of gas, predominantly carbon dioxide, rising to the surface. The chemical components that produce the head are wort protein, yeast, and hop residue. This involves a large number of chemical components and numerous physical interactions. The beer foam and, especially, its stability is an essential quality characteristic of a beer. A consumer defines a beer's head by its stability, quantity, lacing (glass adhesion or cling), whiteness, creaminess, and strength. To achieve an accurate prediction of beer foam formation and collapse is challenging because complex numerical models are required to account for these nonlinear beer foam effects. To analyze a new design of a beer bottom-to-top pouring system for the startup company Einstein 1, we first set up the experimental tests of this pouring system. Afterward, we performed the associated repeatability studies to achieve stable working conditions. To study beer foam formation and its collapse, we employed a multiphase Reynolds-averaged Navier–Stokes solver that considered two inter-penetrating continua, which allowed accounting for multi-component phases and mass and heat transfer between these phases. We numerically and experimentally investigated beer foam patterns, beer heights, beer/foam ratio, foam height, foam stability, and foam volume fractions. We performed grid sensitivity studies and validated the numerical solver by comparing results against model test measurements. The results indicated that that the higher the temperature of the beer and the higher the tap pressure is, the greater the foam development and the associated foam height are but not necessarily the foam stability.

1.
Bamforth
,
C.
, “
The relative significance of physics and chemistry for beer foam excellence: Theory and practice
,”
J. Inst. Brew.
110
,
259
(
2004
).
2.
Bamforth
,
C.
,
Beer: A Quality Perspective
, Handbook of Alcoholic Beverages Series (
Elsevier Science
,
Burlington
,
2011
).
3.
Briceño-Ahumada
,
Z.
,
Mikhailovskaya
,
A.
, and
Staton
,
A. J.
, “
The role of continuous phase rheology on the stabilization of edible foams: A review
,”
Phys. Fluids
34
,
031302
(
2022
).
4.
Clarkea
,
C.
,
Spyropoulos
,
F.
, and
Norton
,
T. I.
, “
Surface rheological measurements of isolated food foam systems
,”
Phys. Fluids
31
,
092002
(
2019
).
5.
Cleary
,
P.
,
Pyo
,
S.
,
Parkash
,
M.
, and
Koo
,
B.
, “
Bubbling and frothing liquids
,” in
SIGGRAPH07: Special Interest Group on Computer Graphics and Interactive Techniques Conference
, 5–9 August
2007
.
6.
Evans
,
D.
,
Robinson
,
L.
,
Sheehan
,
M.
,
Hill
,
A.
,
Skerritt
,
J.
, and
Barr
,
A.
, “
Application of immunological methods to differentiate between foam-positive and haze-active proteins originating from malt
,”
J. Am. Soc. Brew. Chem.
61
,
55
62
(
2003
).
7.
Evans
,
D.
and
Sheehan
,
M.
, “
Don't be fobbed off: The substance of beer foam—A review
,”
J. Am. Soc. Brew. Chem.
60
,
47
57
(
2002
).
8.
Ferziger
,
J.
and
Peric
,
M.
,
Computational Methods for Fluid Dynamics
(
Springer Verlag
,
2008
).
9.
ITTC
, “
Uncertainty analysis in CFD verification and validation methodology and procedures
,” in
Resistance Committee of 28th International Towing Tank Conference
,
2017
.
10.
Jasak
,
H.
, “
Error analysis and estimation for the finite volume method with applications to fluid flows
,” Ph.D. thesis (
Imperial College
,
University of London
,
1996
).
11.
Kamm
,
G.
, “
Über den Schaum allgemein und den des Bieres
,” No. 31/32,
1966
, pp.
549
555
.
12.
Kim
,
D.
,
Seol
,
Y.
, and
Kim
,
Y.
, “
Numerical study on rheology of two-dimensional dry foam editors-pick
,”
Phys. Fluids
33
,
052111
(
2021
).
13.
Kück
,
H.
,
Vogelgsang
,
C.
, and
Greiner
,
G.
, “
Simulation and rendering of liquid foams
,” in
Proceedings Graphics Interface
,
2002
.
14.
Lewis
,
M.
and
Bamforth
,
C.
,
Essays in Brewing Science
(
Springer US
,
Boston, MA
,
2007
).
15.
Mihalef
,
V.
,
Metaxas
,
D.
, and
Sussman
,
M.
, “
Simulation of two-phase flow with sub-scale droplet and bubble effects
,”
Eurographics
28
(
2
),
229
238
(
2009
).
16.
Nischwitz
,
R.
,
Cole
,
N. W.
, and
MaCleod
,
L.
, “
Malting for brewhouse performance
,”
J. Inst. Brew.
105
,
219
227
(
1999
).
17.
OpenFOAM
, see https://www.openfoam.com/releases/openfoam-v2006/ for “
User Guide
” (
2020
).
18.
Roberts
,
R.
, “
Interaction between beer protein and isohumulone
,”
J. Inst. Brew.
82
(
5
),
282
(
1976
).
19.
Rusche
,
H.
, “
Computational fluid dynamics of dispersed two-phase flows at high phase fractions
,” Ph.D. thesis (
Imperial College of Science, Technology Medicine, University of London
,
2002
).
20.
Schäfer
,
M.
,
Computational Engineering: Introduction to Numerical Methods
(
Springer Verlag
,
2006
).
21.
Stamm
,
M.
, “
Enzymchemische und technologische untersuchungen über den einfluss von hefeenzymen - speziell hefeproteinasen auf den bierschaum
,” Dissertation (
Technischen Universität München, Wissenschaftszentrum Weihenstephan Für Ernährung, Landnutzung Und Umwelt
,
Munich
,
2000
).
22.
Van Leer
,
B.
, “
Towards the ultimate conservative difference scheme. II. Monotonicity and conservation combined in a second order scheme
,”
J. Comput. Phys.
14
,
361
370
(
1974
).
23.
Weller
,
H.
, “
A new approach to VoF-based interface capturing methods for incompressible and compressible flow
,”
Report No. TR/HGW/04
(
2008
).
You do not currently have access to this content.