Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 15, 2024
The
fundamental
objective
of
this
paper
is
to
use
Machine
Learning
(ML)
methods
for
building
models
on
temperature
(T)
prediction
using
input
features
r
and
z
a
membrane
separation
process.
A
hybrid
model
was
developed
based
computational
fluid
dynamics
(CFD)
simulate
the
process
integrate
results
into
machine
learning
models.
CFD
simulations
were
performed
estimate
distribution
in
vacuum
distillation
(VMD)
liquid
mixtures.
evaluated
ML
include
Support
Vector
(SVM),
Elastic
Net
Regression
(ENR),
Extremely
Randomized
Trees
(ERT),
Bayesian
Ridge
(BRR).
Performance
improved
Differential
Evolution
(DE)
hyper-parameter
tuning,
validation
Monte
Carlo
Cross-Validation.
clearly
indicated
models'
effectiveness
prediction,
with
SVM
outperforming
other
terms
accuracy.
had
mean
R
Membrane
distillation
(MD)
for
water
treatment
can
be
applied
in
high
salinity
conditions
and
of
wastewater.
Current
commercial
membranes
are
made
fluorinated
polymers
such
as
polytetrafluoroethylene
(PTFE).
Here,
porous
were
coated
with
a
silicone
nanofilament
layer
to
obtain
superhydrophobic
fluorine-free
material.
The
classical
coating
procedure
involves
the
use
toluene
solvent.
In
this
work,
n-heptane
was
tested
less
toxic
alternative.
Different
substrates
coating.
effect
acids,
scaling
solutions,
biofilm
formation
analyzed
comparison
standard
PTFE
membranes.
We
demonstrate
that
nanofilament-coated
poly(ether
sulfone)
(NF-PES)
possess
required
antiwetting
properties
MD.
Moreover,
NF-PES
have
static
contact
angles
between
10
20°
higher
than
after
immersion
tests
solutions
containing
substances,
grows
from
20
50%,
PTFE.
Environmental Science and Pollution Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 20, 2024
Abstract
Gas-permeable
membrane
(GPM)
technology
is
gaining
interest
to
recover
nitrogen
from
residual
effluents
due
its
effectiveness,
simple
operation
and
capacity
of
producing
a
nutrient
rich
product
with
fertilising
value.
In
this
study,
GPM
contactor
was
used
at
25
°C
total
ammoniacal
(TAN)
swine
slurry
as
concentrated
(NH
4
)
2
SO
solution.
Firstly,
synthetic
solution
tested
on
wide
pH
range
(6–12).
Results
showed
that
the
ammonia
mass
transfer
constants
(
K
m
increased
7.9·10
−9
1.2·10
−6
m/s
increased.
The
reagent
consumption
control
per
mole
recovered
had
minimum
9,
which
value
3.0·10
−7
m/s.
Secondly,
various
strategies
were
using
slurry,
including
(i)
no
control,
(ii)
8.5,
9.0
10.0,
(iii)
an
initial
spike
NaOH
equivalent
required
9.
test
without
reached
TAN
recovery
around
60%,
could
be
interesting
strategy
when
high
recoveries
or
short
operating
times
are
not
required.
9
stood
out
most
favourable
condition
lower
consumption.
Thirdly,
several
feed-to-trapping
volume
ratios
ranging
1:1
15:1
These
assays
revealed
process
ratio
fastens
99%
purity
containing
40
g
N/L.
