Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 23, 2024
Laminated
bamboo
composites
(LBC),
made
by
sandwiching
strips,
offer
promising
alternatives
to
traditional
construction
materials,
especially
for
housing.
However,
subjection
the
continuous
static
loading
makes
these
materials
initiate
cracks
inside
their
various
ply.
This
study
uses
classical
laminate
theory
(CLT)
determine
strength
ratio
(SR)
of
LBC
at
different
ply
orientations
applying
Tsai-Wu
and
Tsai-Hill
failure
criteria
using
MATLAB.
The
aims
calculate
SRs
LBCs
CLT,
employing
an
ANN
model
stochastic
finite
element
(FE)
modeling
investigate
five-layered
with
varying
orientations.
Applying
highest
SR
was
determined
be
1.5375
×
10
7
N/m
[0°/0°/0°/0°/0°]
laminate,
as
per
both
theories.
reveals
substantial
variations
depending
on
orientation,
consistently
showing
higher
predictions
compared
theory.
Next,
emphasizes
deterministic
methodologies
account
effects
angle
obtained
LBCs.
Monte
Carlo
simulation
(MCS)
utilized
10,000
randomly
generated
inputs
associated
SRs.
By
incorporating
MCS
introduce
±1%
in
angles
utilizing
normally
distributed
data,
this
research
effectively
captures
uncertainties
orientation.
Finally,
forecast
random
orientations,
artificial
neural
network
(ANN)
surrogate
is
employed.
analysis
confirms
need
quantify
uncertainties.
findings
are
crucial
advancing
application
sustainable
construction,
providing
valuable
insights
into
mechanical
behavior
under
considering
effect
properties.
Journal of Reinforced Plastics and Composites,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 17, 2025
The
objective
of
this
study
is
to
investigate
the
effects
alumina
filler
content
and
NaOH-treated
Roselle
fibers
on
mechanical,
thermal,
biodegradation,
tribological
properties
while
identifying
optimal
conditions
for
eco-friendly
applications.
Compression
molding
was
employed
fabricate
composites,
results
revealed
significant
improvements
in
performance
with
chemical
treatment
content.
Mechanical
testing
showed
that
10%
composite
exhibited
highest
tensile,
flexural,
impact
strengths
due
enhanced
interfacial
bonding
uniform
dispersion.
Thermal
analysis
demonstrated
improved
stability,
offering
best
thermal
degradation
resistance.
Biodegradation
studies
indicated
slower
weight
loss
alumina-filled
highlighting
their
environmental
durability.
Tribological
evaluations
achieved
lowest
specific
wear
rate
(SWR)
coefficient
friction
(COF),
supported
by
SEM
showing
minimal
debris
surface
damage.
Optimization
using
a
simulated
annealing
algorithm
identified
ideal
(sliding
velocity:
6.6
m/s,
sliding
distance:
500.33
m,
content:
10.62%)
minimized
SWR
(13.28
×
10⁻⁵
mm³/Nm)
COF
(0.278).
These
findings
provide
valuable
insights
into
fiber
composites
sustainable
applications
automotive
packaging
industries.
Polymer Composites,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Abstract
This
study
examines
how
NaOH
treatment
and
alumina
filler
affect
the
mechanical
properties,
water
absorption,
thermal
degradation,
sliding
wear
of
epoxy
composites
reinforced
with
pineapple
leaf
fiber.
greatly
improved
composites'
tensile,
flexural,
impact
strengths
by
strengthening
bond
between
fiber
matrix.
Furthermore,
incorporation
further
elevated
properties.
The
composite
10%
showed
peak
values
41.4
MPa
in
tensile
strength,
63.8
flexural
37.6
kJ/m
2
strength.
Because
hygroscopic
parts
were
removed
from
treated
composites,
they
absorbed
much
less
water.
15%
had
lowest
absorption
at
18%
after
192
h.
Thermal
degradation
analysis
that
stability,
having
highest
char
residue
(15.3%)
700°C.
Sliding
tests
reinforcement
significantly
reduced
specific
rate
(SWR)
coefficient
friction
(COF).
an
SWR
0.2598
×
10
−5
mm
3
/Nm
a
COF
0.103
when
120
cm/s,
45
N
load
over
1500
m
distance.
A
scanning
electron
microscopy
found
untreated
experienced
severe
abrasive
wear,
while
exhibited
mild
adhesive
wear.
shows
treating
PALF
adding
enhance
their
mechanical,
thermal,
tribological
making
them
suitable
for
high‐performance
industrial
applications.
Highlights
Alumina
(41.4
MPa)
strength
(63.8
MPa).
NaOH‐treated
moisture,
enhancing
durability.
stability
improved,
15.3%
700°C
alumina.
Optimized
achieved
(0.2598
/Nm).
Artificial
neural
network
response
surface
methodology
accurately
predicted
optimized
behavior.
Journal of Composites Science,
Год журнала:
2025,
Номер
9(3), С. 124 - 124
Опубликована: Март 6, 2025
The
global
push
for
sustainable
materials
has
intensified
the
research
on
natural
fiber-reinforced
composites.
This
study
investigates
potential
of
sugarcane
bagasse
fibers,
combined
with
a
bio-based
epoxy
matrix,
as
alternative
high-performance
A
comprehensive
approach
was
adopted,
including
wear
testing,
thermal
and
structural
characterization,
machine
learning
predictive
modeling.
Ethylene
dichloride-treated
fibers
exhibited
lowest
rate
(0.245
mg/m)
highest
stability
(T20%
=
260
°C,
char
yield
1.3
mg),
highlighting
role
optimized
surface
modifications.
XRD
(X-ray
diffraction)
analysis
revealed
that
pre-treated
achieved
crystallinity
index
62%,
underscoring
importance
alignment
in
fiber-matrix
bonding.
Machine
insights
using
Random
Forest
model
identified
fiber
treatment
most
significant
parameter
influencing
performance,
accurate
predictions
validated
through
experimental
results.
work
demonstrates
transformative
polymer
composites,
offering
pathway
environmentally
friendly,
lightweight,
durable
material
solutions.
These
findings
integrate
rigor
computational
insights,
paving
way
advancements
fiber-based
composite
technologies.
