Numerical Study to Optimize the Operating Parameters of a Real-Sized Industrial-Scale Micron Air Classifier Used for Manufacturing Fine Quartz Powder and a Comparison with the Prototype Model
Nang X. Ho,
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Hoi Thi Dinh,
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Nhu The Dau
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et al.
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 106 - 106
Published: Jan. 3, 2025
In
this
study,
we
successfully
captured
and
compared
the
gas−particle
flow
field
in
a
real-sized
industrial-scale
micron
air
classifier
prototype.
All
simulation
calculations
were
performed
using
high-performance
computing
(HPC)
systems
3D
transient
simulations
with
TWC-RSM–DPM
(Two-Way
Coupling–Reynolds
Stress
Model–Discrete
Phase
Model)
ANSYS
Fluent
(version
2022
R2).
The
following
objectives
achieved:
(i)
comparison
of
results
was
made
between
real-size
prototype
model
(scaled-down
model)
to
show
differences
them
highlight
necessity
study
on
for
optimization
purposes;
(ii)
detailed
analysis
effects
multiple
vortices
inside
both
main
secondary
classification
zones
provided
deeper
understanding
mechanism
classifier;
(iii)
basis
classifier’s
key
performance
indicators
(KPIs:
d50,
K,
η)
constrained
condition
(i.e.,
know-how
particle
size
distribution
curve
(KHC)
quartz
fine
powder
material
0–45
µm)
applied
manufacturing
engineering
stone,
relationship
operating
parameters
addressed,
optimal
set
production
(0–45
selected.
will
be
validated
experimental
at
Vicostone
Plant,
Phenikaa
Group.
Language: Английский
The Effects of the Guide Cone on the Flow Field and Key Classification Performance of an Industrial-Scale Micron Air Classifier
Nang X. Ho,
No information about this author
Hoi Thi Dinh,
No information about this author
Nhu The Dau
No information about this author
et al.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(24), P. 11504 - 11504
Published: Dec. 10, 2024
In
this
study,
the
effects
of
structural
parameters
(SPs)
guide
cone,
such
as
surface
inclination
and
material
recirculation
gap
size,
on
two-phase
flow
field
classification
performance
a
real-sized
industrial-scale
micron
air
classifier
were
investigated.
This
was
achieved
using
two-way
coupling
computational
fluid
dynamics–discrete
phase
model
in
ANSYS
2022
R2,
with
assistance
high-performance
system
(HPC).
The
objective
study
to
determine
optimal
SPs
cone
so
achieve
best
efficiency
satisfy
required
particle
size
distribution
curve,
named
know-how
curve
(KHC),
for
range
(0
÷
400
μm)
used
producing
quartz-based
artificial
stone.
bottom
diameter
(d)
(CHL)
altered
while
keeping
outer
feeding
tube
unchanged.
As
consequence,
changed,
shape,
position,
rotational
direction
vortices
formed
secondary
space
chamber
also
changed.
These
significantly
affected
performance.
Specifically,
classifiers
different
structures,
CHL1,
CHL2,
CHL3,
CHL4,
yielded
Newton
efficiencies
75.06%,
87.26%,
95.5%,
94.02%,
respectively.
According
simulation
results,
structure
is
recommended
objectives
(i)
highest
efficiency,
smallest
cut
sharpness
index
(ii)
those
under
constraint
KHC.
Language: Английский