Prediction of specific cutting energy consumption in eco-benign lubricating environment for biomedical industry applications: Exploring efficacy of GEP, ANN, and RSM models
AIP Advances,
Год журнала:
2024,
Номер
14(8)
Опубликована: Авг. 1, 2024
This
study
emphasizes
the
criticality
of
measuring
specific
cutting
energy
in
machining
Hastelloy
C276
for
biomedical
industry
applications,
offering
valuable
insights
into
machinability
and
facilitating
optimization
tool
selection,
parameters,
process
efficiency.
The
research
employs
artificial
intelligence-assisted
meta-models
cost-effective
accurate
predictions
consumption.
Comparative
analyses
conducted
on
C276,
utilizing
a
TiAlN-coated
solid
carbide
insert
across
various
media
(dry,
MQL,
LN2,
MQL+LN2),
reveal
superiority
hybrid
LN2+MQL
reducing
Subsequently,
analysis
variance
underscores
speed
as
most
influential
parameter
compared
to
other
inputs.
Finally,
statistical
evaluation
compares
Gene
Expression
Programming
(GEP)
model
against
Artificial
Neural
Network
(ANN),
Response
Surface
Methodology
model,
demonstrating
superior
predictive
performance
GEP
meta-model.
demonstrates
validation
results
with
an
error
range
0.25%–1.52%,
outperforming
ANN
RSM
models,
which
exhibit
0.49%–8.33%
2.68%–10.18%,
respectively.
suggests
potential
integration
contemporary
intelligent
methodologies
sustainable
superalloy
providing
foundation
enhanced
productivity
reduced
environmental
impact
surgical
instrument
device
machining.
Язык: Английский
Optimization of wire-cut EDM parameters using artificial neural network and genetic algorithm for enhancing surface finish and material removal rate of charging handlebar machining from mild steel AISI 1020
The International Journal of Advanced Manufacturing Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 22, 2025
Язык: Английский
Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach
Deleted Journal,
Год журнала:
2025,
Номер
7(4)
Опубликована: Март 21, 2025
Abstract
This
present
work
deals
with
improving
the
WEDM
machining
performance
through
soft
computing
techniques.
In
this
study,
a
new
strategy
was
implemented
on
NiTi-SMA
(Nitinol-SMA)
using
ANFIS
(Adaptive
Neuro-Fuzzy
Inference
System)
and
PSO
(Particle
Swarm
Optimization)
in
wire-EDM
(electrical
discharge
machining).
The
findings
recommended
optimal
operating
settings
to
maximize
dimensional
accuracy
minimize
both
processing
time
cost.
Real-time
monitoring
performed
vibration
device
assess
frequency
of
motion
wire
electrode
during
cutting
interaction
workpiece.
main
measurable
aspects
included
vibration,
surface
finish,
overcut.
A
Taguchi
L
18
mixed-level
design
experiments
(DOE)
has
been
used
conduct
these
tests.
After
testing,
suggested
common
setting
for
each
feature:
peak
current
(11.5
A),
pulse-on-time
(125
µs),
pulse-off-time
(58
servo
voltage
(55
V),
feed
(2
mm/min),
resulting
feature
values
of
0.113
K-Hz,
µm,
0.0526
µm.
contrast,
alternative
yielded
0.68
1.87
0.648
Comparative
analysis
demonstrated
that
modeling
provided
better
results,
excellent
significant
improvements
morphology
chemical
composition,
as
investigated
via
FESEM
EDS
testing
at
machined
unmachined
Zn
coated
brass
wire.
addition,
effectively
reduced
micro
cracks
potholes
compared
PSO.
Язык: Английский
Optimization of Extrusion Parameters for Low-Cost Alumina–Kaolin Ceramic Membranes via CCD
Journal of Materials Research and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Toward Sustainable Machining of Hardened SKD11: Machine Learning-Based Evaluation and Optimization of Surface Roughness, Tool Wear, and CO₂ Emissions
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 105249 - 105249
Опубликована: Май 1, 2025
Язык: Английский
Tribological performance and lubrication mechanism of polyacrylamide as a high-efficiency water-based lubricant additive for titanium alloys
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Июнь 3, 2025
Titanium
alloys
present
challenges
in
terms
of
lubrication
due
to
their
difficult-to-machine
nature,
which
necessitates
the
development
sustainable
and
environmentally
friendly
lubricants.
Water-based
lubricants
are
commonly
used
for
titanium
because
effective
cooling
properties,
despite
encountering
such
as
poor
performance
complex
mechanisms.
This
study
first
demonstrates
that
polyacrylamide
(PAM)
is
an
excellent
water-based
lubricant
additive
Ti6Al4V
(TC4)/GCr15
interface.
It
results
a
reduction
friction
wear
TC4
contacts
by
40%
90%,
respectively,
when
utilizing
low
concentration
2.5
wt%.
also
found
oxidative
on
rubbing
surfaces
exposed
water
at
ambient
temperature.
The
exceptional
lubricating
properties
PAM
can
be
attributed
formation
boundary
film,
occurs
through
adsorption
onto
tribo-oxide
layer.
Increased
concentrations
promote
chemisorption
hydrogen-bond
interactions,
thereby
increasing
stability
film.
Язык: Английский
Application of Heuristic Methods for Polymer Synthesis Process Optimization
Journal of Engineering,
Год журнала:
2024,
Номер
2024(1)
Опубликована: Янв. 1, 2024
A
numerical
algorithm
has
been
developed
for
solving
the
problem
of
finding
optimal
conditions
synthesis
polymers
using
heuristic
optimization
methods,
and
its
effectiveness
evaluated
in
investigation
copolymerization
process
butadiene
with
styrene,
proceeding
via
a
free‐radical
mechanism.
To
address
task
conditions,
genetic
proposed,
main
stages
implementation
software
development
tools
have
defined.
For
mathematical
description
process,
kinetic
approach
based
on
use
statistical
moments
molecular
mass
distribution
employed,
allowing
derivation
classical
model
form
system
differential
equations.
Application
to
this
enabled
identification
regulator
feeding
regime,
facilitating
attainment
desired
product
characteristics.
The
proposed
is
versatile,
search
one
or
multiple
parameters
both
continuous
discrete
variable
sets,
characteristic
optimizing
technological
industrial
production.
Язык: Английский