Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal Cutting Fluid Application
Machines,
Год журнала:
2025,
Номер
13(4), С. 266 - 266
Опубликована: Март 24, 2025
Hard
turning
is
a
precision
machining
process
used
in
the
manufacturing
industry
for
finishing
of
hardened
alloy
steel,
which
known
its
high
hardness
and
wear
resistance.
In
this
work,
an
experimental
investigation
was
conducted
to
predict
surface
roughness
cutting
temperature
during
hard
AISI
52100
steel
using
minimal
fluid
application
(MCFA).
The
MCFA
sustainable
high-velocity
pulsed
jet
technique
that
has
emerged
as
eco-friendly
approach
reducing
environmental
impact
improving
integrity
processes.
influence
key
parameters,
such
speed,
feed
rate,
depth
cut,
on
performance
indicators
modeled
response
methodology
(RSM)
artificial
neural
network
(ANN).
RSM
employed
structured,
statistical
analysis,
while
ANN
provided
data-driven
capturing
complex
non-linear
relationships.
Various
architectures
were
established
evaluated
with
fixed
number
cycles.
Results
showed
exhibited
superior
accuracy
predicting
both
responses.
comparison
QR
model,
lowest
average
error
rate
accurately
response.
This
further
validated
through
trials,
demonstrating
consistently
outperformed
across
different
parameter
settings.
Additionally,
use
contributed
by
minimizing
fluids
maintaining
quality.
Язык: Английский
Slurry Erosion Performance of WC-Co and Cr3C2-NiCr Coatings on Hydro Turbine Steel: Optimization and Modelling Under Variable Operational Conditions
Oxford Open Materials Science,
Год журнала:
2025,
Номер
5(1)
Опубликована: Янв. 1, 2025
Abstract
The
effectiveness
of
coated
and
uncoated
hydro-turbine
steel
at
different
slurry
concentrations
impingement
angles
is
being
studied
in
the
current
effort
to
understand
better
central
problem
erosion
turbines
its
components
hydropower
generating
plants.
pressure
stand-off
distance
were
maintained
same
levels
throughout
experiment.
tester
for
additionally
employed
experimental
purposes.
maximum
occurred
a
20
000
ppm
(parts
per
million)
concentration
30°
angle.
While
Tungsten
Carbide-Cobalt
(WC-Co)
shows
brittle
nature,
Chromium
Carbide-Nickel
(Cr3C2-NiCr)
exhibited
ductile
characteristics.
Cr3C2-NiCr
less
resistant
than
WC-Co,
it
still
outperforms
material.
degree
resistance
both
impact
angles:
coating
superior
WC-Co
coating.
Statistical
analyses
analyze
data
identify
key
factors
influencing
erosion.
Regression
analysis
reveals
negative
correlations
between
rates
concentration/impingement
angle
specimens,
suggesting
reduced
with
decreasing
Analysis
Variance
(ANOVA)
results
confirm
significant
impacts
specimen
type,
concentration,
on
variability.
Visual
examination,
X-ray
Diffraction
(XRD)
patterns,
Scanning
Electron
Microscopy
(SEM)/Energy
Dispersive
(EDAX)
micrographs,
elemental
further
characterize
mechanisms
performance,
highlighting
protective
effects
coatings
reducing
rates.
This
research
improves
knowledge,
optimizes
directs
material
selection
erosion-prone
situations,
aiding
industries
facing
wear
concerns
enhancing
component
longevity
dependability.
Язык: Английский