Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Feb. 22, 2023
Effect
of
microstructure
on
the
formability
stainless
sheet
metals
is
a
major
concern
for
engineers
in
industries.
In
case
austenitic
steels,
existence
strain-induced
martensite
([Formula:
see
text]-martensite)
their
micro
structure
causes
considerable
hardening
and
reduction.
present
study,
we
aim
to
evaluate
AISI
316
steels
with
different
intensities
via
experimental
artificial
intelligence
methods.
first
step,
grade
2
mm
initial
thicknesses
are
annealed
cold
rolled
various
thicknesses.
Subsequently,
relative
area
measured
using
metallography
tests.
Formability
sheets
determined
hemisphere
punch
test
obtain
forming
limit
diagrams
(FLDs).
The
data
obtained
from
experiments
were
further
utilized
train
validate
an
neural
fuzzy
interfere
system
(ANFIS).
After
training
ANFIS,
predicted
strains
by
network
compared
new
set
results.
results
indicate
that
rolling
has
unfavorable
effects
this
type
while
significantly
strengthens
sheets.
Moreover,
ANFIS
exhibits
satisfactory
comparison
measurements.
Mechanics of Advanced Materials and Structures,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 13
Published: July 8, 2024
In
this
article,
we
organize
a
stretchable-thickness
model
to
present
frequency
analysis
for
composite
plate
applicable
in
badminton
court
which
is
reinforced
with
origami
graphene.
A
higher
order
kinematic
extended
work
including
three
bending,
shear,
and
stretching
functions,
where
the
functions
responsible
satisfying
out
of
plane
shear
strains
stresses
at
top/bottom
surfaces
equipment.
The
sport
or
composites
manufactured
from
copper
matrix
graphene
effective
material
properties
are
calculated
based
on
micromechanical
models
as
function
volume
fraction
folding
degree
origami,
reinforcement
temperature.
numerical
results
presented
changes
fraction,
reinforcement,
thermal
loading
along
thickness
direction.
main
novelty
accounting
deformation
investigating
responses
new
reinforcement.
verification
investigation
approve
methodology,
solution
procedure.
An
various
ratio
plate.
Mechanics of Advanced Materials and Structures,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: June 25, 2024
This
article
investigates
effect
of
a
higher
order
kinematic
modeling
on
the
elasto-static
bending
results
shell
in
double
curved
form.
The
graphene
origami
is
introduced
this
as
novel
nanofiller
with
some
chemical
process
to
arrive
at
controllable
material.
A
copper
matrix
used
main
constituent
reinforced
folded
origami.
virtual
work
principle
derive
governing
equations
thickness-stretchable
shell.
After
derivation
and
solution,
class
formulas
from
valid
sources
for
effective
material
properties
verification
test
presented
before
exploring
all
affecting
parameters
ambient
results.
may
be
analysis
structures
responses.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(19), P. 8860 - 8860
Published: Oct. 2, 2024
Bias
could
be
defined
as
the
tendency
to
in
favor
or
against
a
person
group,
thus
promoting
unfairness.
In
computer
science,
bias
is
called
algorithmic
artificial
intelligence
(i.e.,
AI)
and
can
described
showcase
recurrent
errors
system,
which
result
“unfair”
outcomes.
“outside
world”
are
interconnected
since
many
types
of
originate
from
external
factors.
The
enormous
variety
different
AI
biases
that
have
been
identified
diverse
domains
highlights
need
for
classifying
said
providing
detailed
overview
ways
identify
mitigate
them.
exist
divided
into
categories
based
on
origin
bias,
occur
during
stages
Machine
Learning
ML)
lifecycle.
This
manuscript
literature
study
provides
survey
regarding
corresponding
approaches
proposed
not
only
ready-to-use
algorithms
identifying
mitigating
but
also
enhances
empirical
knowledge
ML
engineers
similarity
their
use
cases
other
presented
this
manuscript.
Based
findings
study,
it
observed
some
better
covered
literature,
both
terms
identification
mitigation,
whilst
others
studied
more.
overall
contribution
research
work
provide
useful
guideline
mitigation
utilized
by
everyone
who
interested
developing,
evaluating
and/or
utilizing
models.
Eídos,
Journal Year:
2024,
Volume and Issue:
17(24), P. 63 - 79
Published: July 1, 2024
This
paper
presents
a
comprehensive
investigation
on
the
vibrations
of
reinforced
concrete
structure
by
graphene
oxide
powders
(GOPs)
using
polynomial
displacement
field
and
Generalized
Differential
Quadrature
Method
(GDQM).
The
study
focuses
analyzing
dynamic
behavior
assessing
effects
three
different
distribution
patterns
GOPs
its
vibrations.
To
accurately
model
deformation
pressure
vessel,
is
employed,
taking
into
account
complex
geometrical
material
properties
structure.
results
highlight
significant
influence
pattern
natural
frequencies
spherical
vessel.
analysis
reveals
that
variations
in
weight
fraction
arrangement
have
direct
impact
stiffness
characteristics
Specifically,
increasing
generally
leads
to
higher
frequencies,
indicating
enhanced
structural
rigidity.
Moreover,
GDQM
demonstrate
their
effectiveness
predicting
combination
these
numerical
techniques
enables
efficient
reliable
response,
allowing
for
optimization
design
performance
vessels.
