Journal of Composites Science,
Journal Year:
2024,
Volume and Issue:
8(10), P. 401 - 401
Published: Oct. 3, 2024
Fibre
deformation
(or
shearing
of
yarns)
can
develop
during
the
liquid
moulding
composites
due
to
injection
pressures
or
polymerisation
(cross-linking)
reactions
(e.g.,
chemical
shrinkage).
On
that
premise,
this
may
also
induce
potential
residual
stress–strain,
warpage,
and
design
defects
in
composite
part.
In
paper,
a
developed
numerical
framework
is
customised
analyse
deformations
stress–strain
fibre
(at
micro-scale)
yarns
meso-scale)
(LCM)
process
cycle
(fill
cure
stages).
This
achieved
by
linking
flow
simulations
(coupled
filling–curing
simulation)
transient
structural
model
using
ANSYS
software.
work
develops
advanced
User-Defined
Functions
(UDFs)
Scalers
(UDSs)
enhance
commercial
CFD
code
with
extra
models
for
chemorheology,
kinetics,
heat
generation,
permeability.
Such
will
be
hooked
within
conservation
equations
thermo-chemo-flow
hence
reflected
model.
doing
so,
knowledge
permeability,
polymerisation,
rheology,
mechanical
response
digitally
obtained
more
coherent
optimised
manufacturing
processes
composites.
ACS Omega,
Journal Year:
2024,
Volume and Issue:
9(50), P. 48918 - 48987
Published: Dec. 6, 2024
Biosensors
are
transforming
healthcare
by
delivering
swift,
precise,
and
economical
diagnostic
solutions.
These
analytical
instruments
combine
biological
indicators
with
physical
transducers
to
identify
quantify
biomarkers,
thereby
improving
illness
detection,
management,
patient
surveillance.
widely
utilized
in
for
the
diagnosis
of
chronic
infectious
diseases,
tailored
treatment,
real-time
health
monitoring.
This
thorough
overview
examines
several
categories
biosensors
their
uses
detection
numerous
including
glucose,
proteins,
nucleic
acids,
infections.
commonly
classified
based
on
type
transducer
employed
or
specific
biorecognition
element
utilized.
review
introduces
a
novel
classification
substrate
morphology,
offering
comprehensive
perspective
biosensor
categorization.
Considerable
emphasis
is
placed
advancement
point-of-care
biosensors,
facilitating
decentralized
diagnostics
alleviating
strain
centralized
systems.
Recent
advancements
nanotechnology
have
significantly
improved
sensitivity,
selectivity,
downsizing
rendering
them
more
efficient
accessible.
The
study
problems
such
as
stability,
reproducibility,
regulatory
approval
that
must
be
addressed
enable
widespread
implementation
clinical
environments.
amalgamation
wearable
devices
smartphones,
emphasizing
prospects
ongoing
surveillance
individualized
medical
care.
viewpoint
clarifies
distinct
types
particular
roles,
together
recent
developments
"smart
biosensor"
sector,
facilitated
artificial
intelligence
Internet
Medical
Things
(IoMT).
approach
seeks
deliver
evaluation
present
condition
technology
healthcare,
developments,
prospective
paths,
significance
influencing
future
Frontiers in Physics,
Journal Year:
2024,
Volume and Issue:
12
Published: July 31, 2024
Due
to
the
self-affine
property
of
grinding
surface,
sample
images
with
different
roughness
captured
by
micron-scale
camera
exhibit
certain
similarities.
This
similarity
affects
prediction
accuracy
deep
learning
model.
In
this
paper,
we
propose
an
illumination
method
that
can
mitigate
impact
self-affinity
using
two-scale
fractal
theory
as
a
foundation.
is
followed
establishment
machine
vision
detection
integrates
neural
network
and
correlation
function.
Initially,
employed
categorize
forecast
microscopic
image
workpiece
thereby
determining
its
category.
Subsequently,
corresponding
function
determined
in
accordance
established
Finally,
surface
was
calculated
based
on
The
experimental
results
demonstrate
obtained
lighting
significantly
enhanced
classification.
comparison
traditional
methods,
micrometer
scale
has
been
found
have
increased
from
approximately
50%
over
95%.
Concurrently,
mean
squared
error
(MSE)
proposed
does
not
exceed
0.003,
relative
(MRE)
5%.
geometry
offers
novel
approach
processing
learning,
significant
potential
for
advancement.
Journal of low frequency noise, vibration and active control,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 6, 2024
A
critical
hurdle
in
three-dimensional
printing
is
the
low
accuracy.
In
particular,
deformation
of
printed
object
on
receptor
makes
accurate
impossible
due
to
insufficient
solvent
evaporation.
We
address
this
challenge
by
establishing
a
Murray-like
control
morphology
object,
which
can
be
used
for
through
efficient
residual
energy
absorption
and
active
vibration
attenuation.
fractal
oscillator
established
He’s
frequency
formulation
reveal
response
receptor,
an
experiment
was
carried
out
show
that
system
keep
good
shape
without
any
deformation.
Journal of Composites Science,
Journal Year:
2024,
Volume and Issue:
8(10), P. 401 - 401
Published: Oct. 3, 2024
Fibre
deformation
(or
shearing
of
yarns)
can
develop
during
the
liquid
moulding
composites
due
to
injection
pressures
or
polymerisation
(cross-linking)
reactions
(e.g.,
chemical
shrinkage).
On
that
premise,
this
may
also
induce
potential
residual
stress–strain,
warpage,
and
design
defects
in
composite
part.
In
paper,
a
developed
numerical
framework
is
customised
analyse
deformations
stress–strain
fibre
(at
micro-scale)
yarns
meso-scale)
(LCM)
process
cycle
(fill
cure
stages).
This
achieved
by
linking
flow
simulations
(coupled
filling–curing
simulation)
transient
structural
model
using
ANSYS
software.
work
develops
advanced
User-Defined
Functions
(UDFs)
Scalers
(UDSs)
enhance
commercial
CFD
code
with
extra
models
for
chemorheology,
kinetics,
heat
generation,
permeability.
Such
will
be
hooked
within
conservation
equations
thermo-chemo-flow
hence
reflected
model.
doing
so,
knowledge
permeability,
polymerisation,
rheology,
mechanical
response
digitally
obtained
more
coherent
optimised
manufacturing
processes
composites.
