Tribological Performance of Borided Tool Steel with Minimum Bio-Lubrication for Sheet Metal Forming Applications
Wear,
Год журнала:
2025,
Номер
unknown, С. 205748 - 205748
Опубликована: Янв. 1, 2025
Язык: Английский
Tribocorrosion behavior of aluminum alloys in 3.5 wt.% NaCl solution
Journal of Materials Research and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Язык: Английский
APPLICATION OF THE TENSILE BENDING TEST TO DETERMINE THE TRIBOLOGICAL BEHAVIOR OF DC01 STEEL SHEETS
Tribologia,
Год журнала:
2025,
Номер
311(1), С. 67 - 76
Опубликована: Март 31, 2025
The
article
presents
the
results
of
analysis
changes
in
coefficient
friction
occurring
on
edge
punch
during
sheet
metal
plastic
processing.
Experimental
studies
were
conducted
using
method
bending
and
stretching.
A
tribometer
developed
by
authors
was
used.
The
research
material
consisted
0.8
mm
thick
DC01
low-carbon
steel
sheets.
evolution
tests
studied
dry
conditions
lubrication
surface
with
S100
Plus
S300
oil
(Naftochem).
Countersamples
made
145Cr6
tool
steel,
additionally
modified
applying
anti-wear
coatings
obtained
showed
that
depended
coating
used,
nature
this
change
conditions.
In
analyzed
conditions,
a
decrease
values
Sa
Ssk
parameters
observed,
an
increase
Sku
parameter
relation
to
delivery
state.
Язык: Английский
Analysis of the friction performance of deep-drawing steel sheets using network models
The International Journal of Advanced Manufacturing Technology,
Год журнала:
2024,
Номер
132(7-8), С. 3757 - 3769
Опубликована: Апрель 16, 2024
Abstract
This
article
presents
the
results
of
pilot
studies
on
lubrication
blankholder
zone
in
sheet
metal
forming
using
a
pressurised
lubricant.
The
authors
invented
method
and
built
special
tribometer
for
pressure-assisted
lubrication.
approach
reduces
friction
processes
compared
to
conventional
Moreover,
artificial
neural
network
combined
with
force-directed
Fruchterman-Reingold
graph
algorithm
Spearman’s
correlation
was
used
first
time
analyse
relationships
between
process
parameters
output
(the
coefficient
resulting
surface
roughness
metal).
experimental
tests
were
conducted
utilising
strip
drawing
four
grades
steel
sheets
known
be
outstanding
deep-drawing
quality.
Different
oils,
oil
pressures
contact
used.
Artificial
models
determine
these
test
where
every
parameter
is
represented
by
one
node,
all
nodes
are
connected
edges
each
other.
R
Software
version
4.2.3
construct
‘qgraph’
‘networktools’
packages.
It
found
that
conditions
had
highly
significant
negative
(COF)
moderately
final
roughness.
However,
initial
as-received
COF
positive
metal.
most
related
strength
coefficient,
ultimate
tensile
(dry
or
lubrication).
coefficients
showed
strong
kinematic
viscosity
conditions.
Язык: Английский
Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron
Materials,
Год журнала:
2023,
Номер
16(15), С. 5207 - 5207
Опубликована: Июль 25, 2023
This
paper
is
devoted
to
the
determination
of
coefficient
friction
(COF)
in
drawbead
region
metal
forming
processes.
As
test
material,
AW-5251
aluminium
alloys
sheets
fabricated
under
various
hardening
conditions
(AW-5251-O,
AW-5251-H14,
AW-5251-H16
and
AW-5251H22)
were
used.
The
tested
using
a
simulator
with
different
countersample
roughness
orientations
specimens
relation
sheet
rolling
direction.
A
was
designed
model
when
passed
through
forming.
experimental
tests
carried
out
dry
lubrication
surfaces
three
lubricants:
machine
oil,
hydraulic
engine
oil.
Based
on
results
tests,
value
COF
determined.
Random
Forest
(RF)
learning
algorithm
artificial
neural
networks
(ANNs)
used
identify
parameters
affecting
COF.
R
statistical
package
software
version
4.1.0
for
running
RF
network.
relative
importance
inputs
analysed
12
activation
functions
ANNs
nine
loss
RF.
it
concluded
that
samples
cut
along
direction
greater
than
transverse
However,
COF’s
most
relevant
input
oil
viscosity
(0.59),
followed
by
average
counter
sample
Ra
(0.30)
yield
stress
Rp0.2
strength
K
(0.05
0.06,
respectively).
hard
sigmoid
function
had
poorest
R2
(0.25)
nRMSE
(0.30).
ideal
run
found
after
training
testing
(R2
=
0.90
±
0.028).
values
1.1
between
105
190
resulted
decreased
dropped
9–35
105–190
Rp0.2,
gap
110
130
added.
low
9–35,
0.95–1.25.
interaction
other
inputs,
which
produces
relatively
limited
range
reduced
values,
least
relevant.
setting
190,
0.95
1.25,
9
35.
Язык: Английский
Analysis of the Lubrication Performance of Low-Carbon Steel Sheets in the Presence of Pressurised Lubricant
Advances in Materials Science,
Год журнала:
2023,
Номер
23(2), С. 64 - 76
Опубликована: Июнь 1, 2023
Abstract
In
sheet
metal
forming
processes,
friction
increases
the
force
parameters
of
process
and
produces
a
deterioration
in
quality
surface
components.
The
basic
way
to
reduce
unfavourable
impact
is
lubricate
with
commercial
oils.
This
article
presents
results
experimental
studies
analysis
variance
(ANOVA)
DC01
low-carbon
steel
sheets
using
strip
drawing
test.
For
these
tests,
special
device
was
built
containing
countersamples
flat
made
145Cr6
covered
protective
AlTiN
coating.
Lubricants
different
viscosities
were
fed
into
contact
zone
under
forced
pressure.
effect
pressure
on
value
coefficient
also
determined.
predicted
R²
0.9227
reasonable
agreement
adjusted
0.9411
confirming
that
ANOVA
model
reliable.
It
found
increasing
lubricant
had
beneficial
reducing
friction.
higher
pressure,
more
effectively
pressurised
oil
reduced
Язык: Английский
EXPERIMENTAL DETERMINATION OF THE DRAW BEAD COEFFICIENT OF FRICTION OF CuZn SHEETS IN SHEET METAL FORMING PROCESSES
Acta Metallurgica Slovaca,
Год журнала:
2023,
Номер
29(3), С. 123 - 129
Опубликована: Сен. 25, 2023
In
sheet
metal
forming,
draw
beads
are
used
to
limit
the
flow
of
in
specific
areas
stamping
die.
The
value
coefficient
friction
at
bead
determines
achievement
desired
resistance
displacement.
This
article
presents
results
experimental
tests
for
determining
on
a
using
specially
developed
tribotester.
test
material
consisted
CuZn37,
CuZn30
and
CuZn10
brass
sheets
various
states
hardening.
Investigations
were
carried
out
with
different
roughness
countersamples
sliding
speeds.
addition,
under
conditions
dry
lubrication
surface
LAN-46
machine
oil.
relationships
between
process
parameters
analysed
analysis
variance.
It
was
found
that
decreases
increasing
mean
countersamples.
Lubrication
reduced
by
about
6.2-29.8%
depending
grade
tested
speed.
Язык: Английский
Mechanical Alloying of Aluminium Alloys
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 89 - 126
Опубликована: Фев. 27, 2024
Mechanical
alloying
is
a
solid-state
powder
processing
technique
that
has
revolutionized
the
development
of
advanced
materials,
including
aluminium
alloys.
This
chapter
provides
concise
overview
key
aspects
mechanical
applied
to
alloys,
exploring
its
principles,
advantages,
and
potential
applications.
The
process
involves
subjecting
elements
intense
deformation
using
high-energy
ball
mill.
results
in
repeated
welding,
fracturing,
cold
welding
particles,
leading
creation
homogenous
fine-grained
microstructure.
mechanisms
encompass
diffusion
deformation-induced
mixing,
facilitating
uniform
dispersion
within
matrix.
several
distinct
advantages
over
conventional
methods.
Язык: Английский
Application of the Gradient-Boosting with Regression Trees to Predict the Coefficient of Friction on Drawbead in Sheet Metal Forming
Materials,
Год журнала:
2024,
Номер
17(18), С. 4540 - 4540
Опубликована: Сен. 15, 2024
Correct
design
of
the
sheet
metal
forming
process
requires
knowledge
friction
phenomenon
occurring
in
various
areas
drawpiece.
Additionally,
at
drawbead
is
decisive
to
ensure
that
flows
desired
direction.
This
article
presents
results
experimental
tests
enabling
determination
coefficient
and
using
a
specially
designed
tribometer.
The
test
material
was
DC04
carbon
steel
sheet.
were
carried
out
for
different
orientations
samples
relation
rolling
direction,
heights,
lubrication
conditions
average
roughnesses
countersamples.
According
aim
this
work,
Features
Importance
analysis,
conducted
Gradient-Boosted
Regression
Trees
algorithm,
used
find
influence
several
parameter
features
on
friction.
advantage
gradient-boosted
decision
trees
their
ability
analyze
complex
relationships
data
protect
against
overfitting.
Another
there
no
need
prior
processing.
best
authors’
knowledge,
effectiveness
analyzing
has
not
been
previously
studied.
To
improve
accuracy
model,
five
MinLeafs
applied
regression
tree,
together
with
500
ensembles
utilized
learning
learned
nodes,
noting
MinLeaf
indicates
minimum
number
leaf
node
observations.
least-squares-boosting
technique,
often
known
as
LSBoost,
train
group
trees.
analysis
shown
(dry
lubricated
conditions)
had
most
significant
friction,
56.98%,
followed
by
height,
23.41%,
sample
width,
11.95%.
surface
roughness
rollers
orientation
have
smallest
impact
value
6.09%
1.57%,
respectively.
dispersion
deviation
observed
testing
dataset
from
indicate
model’s
predict
values
R2
=
0.972
mean-squared
error
MSE
0.000048.
It
qualitatively
found
order
optimal
(the
lowest)
it
necessary
control
(use
lubricant)
height.
Язык: Английский