Fabrication and multi-aspect characterization of polymer composite reinforced with differently stacked flax-fiber and steel-wire meshes
Subham Kumar Bhoi,
Alok Satapathy
Journal of Elastomers & Plastics,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 28, 2025
This
study
focuses
on
developing
a
new
type
of
multi-fiber
reinforced
multi-layer
polymer
composite
using
natural
and
metal
fibers.
Flax
fiber
has
shown
potential
as
fairly
good
reinforcement,
but
its
mechanical
weaknesses
have
led
researchers
to
explore
hybridization
in
composites
for
better
performance.
The
paper
reports
the
fabrication
characterization
unique
kind
hybrid
that
uses
advantages
stainless
steel
along
with
flax
fiber,
resulting
lightweight
material
suitable
engineering
uses.
In
this
research,
SS-304
wire
mesh
is
used
fibers
make
three
different
composites,
varying
stacking
arrangements.
Experimental
results
indicate
that,
although
inclusion
slightly
reduces
interlaminar
shear
strength,
significant
improvements
are
observed
tensile
flexural
hardness
impact
resistance.
Stereo-microscopy
utilized
analyze
surface
features
sequences,
while
scanning
electron
microscopy
(SEM)
reveals
fracture
surfaces
specimens.
Energy-dispersive
X-ray
spectroscopy
(EDX)
mapping
helps
identify
elemental
compositions
present
composites.
demonstrates
reinforcement
can
enhance
properties
flax-reinforced
providing
sustainable
solution
applications.
Язык: Английский
Parametric study of drilling process in ramie-epoxy composites using grey relational approach and artificial neural networks
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 5, 2025
Drilling
is
one
of
the
primary
and
most
preferred
machining
operations
for
producing
holes
in
composite
materials.
Unlike
conventional
materials,
drilling
fiber
reinforced
polymer
(FRP)
more
challenging
because
its
heterogeneous
anisotropic
nature.
In
present
study
on
behavior,
ramie-epoxy
composites
are
fabricated
then
subjected
to
tests
following
Taguchi
L
16
orthogonal
array.
The
influence
spindle
speed,
feed
rate
drill
diameter
thrust
force,
torque
delamination
studied
using
technique.
optimization
parameters
multi-response
characteristics
analyzed
grey
relational
approach.
results
from
analysis
(GRA)
indicate
that
dominant
factor
influencing
multi-performance
contributing
77.41%
followed
by
speed
with
individual
contributions
6.95%
5.51%
respectively.
It
found
optimal
setting
attaining
minimum
simultaneously
can
be
obtained
while
at
a
4000
rpm,
40
mm/min
4
mm
Further,
an
artificial
neural
network
(ANN)
model
proposed
as
tool
effectively
predict
delamination.
showed
fairly
good
predicting
high
accuracies
89.593%,
95.144%
96.186%
errors
±2%,
±
3%
±0.3%
Analysis
chip
formation
mechanisms
morphological
drilled
done
type
chips
formed
during
identify
possible
causes
Язык: Английский