Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: Nov. 30, 2024
Abstract
To
ensure
the
quality,
dependability,
and
long
life
of
sustainable
biomaterials,
we
need
comprehensive
testing
methods.
These
are
for
use
in
varied
applications.
This
chapter
provides
an
in-depth
examination.
It
is
both
destructive
non-destructive
techniques.
The
techniques
biomaterials.
Recent
advancements
technologies
also
discussed.
includes
machine
learning
multi-modal
imaging.
Destructive
used.
Tensile
testing,
impact
chemical
analysis,
accelerated
aging
evaluations
employed.
gather
essential
data.
data
regarding
properties
performance
materials.
In
contrast
to
this,
methods
include
ultrasound,
infrared
spectroscopy,
imaging
They
allow
evaluation
without
causing
damage
Incorporating
environmental
assessments
cycle
analysis.
underscores
significance
sustainability
evaluating
procedures.
section
focuses
on
approaches.
required
compatibility
materials
various
fields.
aim
this
equip
researchers.
engineers
practitioners
with
necessary
knowledge
resources.
assess
efficiency
suitability
done
by
delving
into
these
Graphical
abstract
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1192 - 1192
Published: Feb. 28, 2025
The
transition
from
fossil
fuels
to
renewable
energy
(RE)
sources
is
an
essential
step
in
mitigating
climate
change
and
ensuring
environmental
sustainability.
However,
large-scale
deployment
of
renewables
accompanied
by
new
challenges,
including
the
growing
demand
for
rare-earth
elements,
need
recycling
end-of-life
equipment,
rising
footprint
digital
tools—particularly
artificial
intelligence
(AI)
models.
This
systematic
review,
following
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines,
explores
how
lightweight,
distilled
AI
models
can
alleviate
computational
burdens
while
supporting
critical
applications
systems.
We
examined
empirical
conceptual
studies
published
between
2010
2024
that
address
energy,
circular
economy
paradigm,
model
distillation
low-energy
techniques.
Our
findings
indicate
adopting
significantly
reduce
consumption
data
processing,
enhance
grid
optimization,
support
sustainable
resource
management
across
lifecycle
infrastructures.
review
concludes
highlighting
opportunities
challenges
policymakers,
researchers,
industry
stakeholders
aiming
integrate
principles
into
RE
strategies,
emphasizing
urgent
collaborative
solutions
incentivized
policies
encourage
low-footprint
innovation.
Polymers,
Journal Year:
2025,
Volume and Issue:
17(5), P. 677 - 677
Published: March 3, 2025
Fused
filament
fabrication
(FFF)
has
recently
emerged
as
a
sustainable
digital
manufacturing
technology
to
fabricate
polymer
composite
parts
with
complex
structures
and
minimal
waste.
However,
FFF-printed
frequently
exhibit
heterogeneous
low
mechanical
properties.
To
manufacture
high-end
good
properties,
advanced
predictive
tools
are
required.
In
this
paper,
Artificial
Neural
Network
(ANN)
models
were
developed
evaluate
the
properties
of
3D-printed
polyamide
12
(PA)
carbon
fiber
(CF)
glass
(GF)
reinforced
PA
composites.
Tensile
samples
fabricated
by
FFF,
considering
two
input
parameters,
such
printing
orientation
infill
density,
tested
determine
Then,
single-
multi-target
ANN
trained
using
forward
propagation
Levenberg-Marquardt
algorithm.
Post-training
performance
analysis
indicated
that
work
efficiently
accurately
in
predicting
Young's
modulus
tensile
strength
fiber-reinforced
composites,
most
relative
errors
being
far
less
than
5%.
terms
strength,
composites
outperform
unreinforced
PA.
Printing
0°
100%
density
results
maximum
increase
(up
98%
for
CF/PA
32%
GF/PA)
36%
18%
compared
This
study
underscores
potential
predict
parts,
enhancing
use
components
structural
applications.
Salud Ciencia y Tecnología - Serie de Conferencias,
Journal Year:
2025,
Volume and Issue:
4, P. 668 - 668
Published: Jan. 1, 2025
Introduction:
Three-dimensional
(3D)
printing
has
transformed
dentistry
by
enhancing
precision,
efficiency,
and
reducing
material
waste
in
prosthesis
manufacturing.
The
objective
of
this
study
is
to
evaluates
effectiveness
operational
parameters
assessing
technology
used,
workflow
patient
outcomes
complications
dental
procedures,
focusing
on
its
clinical
applicability
impact
care.
Methods:
A
systematic
literature
review
was
done
for
articles
from
2015
2024.
search
multiple
databases,
including
PubMed
Google
Scholar,
yielded
3785
studies,
which
were
narrowed
15
studies
that
focused
3D
multi-part
prostheses.
Results:
3D-printed
compared
with
conventional
rapid
prototyping
material,
good
strength
characteristics
the
prostheses
achieved.
prostheses'
long-term
performance
depends
constantly
developing
techniques
technologies.
accuracy
relatively
high,
but
throughput,
complexity,
limited
precision
needed
be
more
satisfactory.
Literature
reviews,
randomized
controlled
trials,
single-centre
vitro
observational
also
included
study.
Conclusions:
Although
limitations
about
properties,
production
costs,
still
exist,
prospects
application
prosthetics
are
very
encouraging.
Enhanced
digital
workflows
have
positively
impacted
engagement,
yet
additional
research
improve
such
practices
clinic
maximal
satisfaction
