Understanding
heat
transfer
in
composite
materials
is
essential
for
optimizing
their
performance
critical
applications
across
industries
such
as
aerospace,
automotive,
renewable
energy,
and
construction.
This
review
offers
a
comprehensive
examination
of
the
various
mechanisms
within
explores
how
these
processes,
spanning
different
length
time
scales,
are
influenced
by
materials’
composition
structure.
Both
traditional
advanced
analytical
numerical
modeling
techniques
explored,
emphasizing
importance
predicting
thermal
behavior
scales.
Furthermore,
evaluates
current
experimental
methods
measuring
properties,
discussing
limitations
potential
areas
enhancement.
Significant
attention
devoted
to
practical
materials,
from
management
electronic
devices
heat-resistant
components
aerospace
engineering.
Recent
innovations,
integration
phase
change
development
nano-enhanced
composites,
assessed
transform
capabilities.
Ongoing
challenges
addressed,
future
research
directions
outlined,
highlighting
need
advancements
material
science
engineering
meet
emerging
demands.
aims
bridge
gap
between
fundamental
applications,
providing
understanding
that
both
rooted
driven
possibilities.
Advances in Colloid and Interface Science,
Journal Year:
2024,
Volume and Issue:
325, P. 103112 - 103112
Published: Feb. 16, 2024
Thermal
management
is
a
critical
challenge
in
advanced
systems
such
as
electric
vehicles
(EVs),
electronic
components,
and
photoelectric
modules.
alleviation
carried
out
through
the
cooling
which
coolant
heat
exchangers
are
key
components.
The
study
examines
recent
literature
on
nanofluids
exchanger
tubes
along
with
state-of-the-art
concepts
being
tested
for
transfer
intensification.
performance
of
several
common
tubes'
geometries/configurations
effectiveness
novel
augmentation
mechanisms
presented.
Promising
results
have
been
reported,
showing
improved
parameters
use
intensification
like
turbulators,
fins,
grooves,
variations
temperature
flow
velocity.
These
enhance
dispersion
stability,
achieve
more
uniform
distribution,
reduce
boundary
layer
thickness,
resulting
lower
tube
wall
temperatures.
Moreover,
introducing
pulsations
magnetic
effects
further
enhances
particle
mobility
exchange.
However,
there
limitations,
increased
frictional
losses
pressure
drop
due
to
effects.
combination
nanofluids,
geometries,
turbulators
holds
great
promise
highly
efficient
future.
also
presents
bibliometric
analysis
that
offers
valuable
insights
into
impact
visibility
research
integration
systems.
aid
identifying
emerging
trends
advancing
field
towards
compact
systems,
paving
way
future
advancements.
Virtual and Physical Prototyping,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: April 8, 2024
Laser
powder
bed
fusion
(LPBF)
of
multi-scaled
structures
is
a
prominent
direction
pursued
by
innovative
designs
and
engineering
applications.
However,
understanding
the
impact
scale
effect
on
effectiveness
actual
pressing
challenge.
This
work
investigates
influence
structure
surface
morphology
mechanical
property
fabricating
tensile
samples
with
gauge
diameters
ranging
from
0.2
mm
to
5.0
mm.
For
hatching
scanning
strategy,
roughness
drastically
reduces
∼51%
as
diameter
increases.
appears
be
coupling
results
heat
accumulation,
molten
pool
at
end
single-track,
overlap
between
multi-tracks
within
layer,
successive
rotational
buildup
layers.
Moreover,
decreasing
substantially
strength.
Fortunately,
hatching-contour
strategy
proposed
eliminate
These
efforts
provide
essential
guidance
for
broader
application
structures.
Applied Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
242, P. 122492 - 122492
Published: Jan. 18, 2024
Lattice
structures
based
on
Triply
Periodic
Minimal
Surfaces
(TPMS)
have
been
extensively
studied
in
the
field
of
heat
exchange
due
to
advantages
they
can
offer
terms
increased
area
and
enhanced
convective
phenomena,
thanks
their
intricate
geometry.
Numerous
studies
conducted
fluid
motion
within
these
structures,
confirming
that
Computational
Fluid
Dynamics
(CFD)
simulations
accurately
replicate
thermo-fluid
dynamic
behavior.
However,
such
are
computationally
expensive
may
be
difficult
integrate
larger
models
whole
system.
Traditionally,
exchanger
design
relies
transfer
coefficient
correlations
non-dimensional
groups,
especially
when
dealing
with
turbulent
flow.
This
study
proposes
a
single
correlation,
results
series
CFD
simulations,
calculate
for
various
fluids
different
TPMS
topologies
geometries.
is
achieved
through
careful
selection
characteristic
lengths
groups
considered.
Within
an
acceptance
range
±20%,
predictive
capability
correlation
proved
valid
three
distinct
topologies:
Gyroid,
Schwarz-Primitive,
Schwarz-Diamond.
It
applies
across
porosity
70%
90%,
considering
unit
cell
fluids.
Furthermore,
presents
effect
viscous
heating
at
high
Reynolds
numbers
compares
proposed
existing
ones.
