Journal of Thermophysics and Heat Transfer,
Год журнала:
2025,
Номер
unknown, С. 1 - 14
Опубликована: Март 24, 2025
This
work
presents
a
numerical
investigation
of
laminar
flow
[Formula:
see
text]
tetra-hybrid
nanoliquid
in
microtube
subjected
to
constant
wall
heat
flux.
A
model
was
developed
and
validated
using
available
experimental
analytical
data.
The
combined
effects
volume
fraction,
viscous
dissipation,
slip
velocity,
external
magnetic
field
on
transfer
irreversibility
parameters
are
investigated.
results
revealed
that
enhances
the
microflow
comparison
with
base
liquid,
mono,
di,
ternary
hybrid
nanoliquids,
an
increase
all
components
reduction
Bejan
number.
higher
velocity
improves
reduces
total
entropy
production,
while
Brinkman
number
increases
production.
nanoparticle
or
intensity
field,
leads
evolutions
discussed
this
paper.
International Journal of Thermofluids,
Год журнала:
2024,
Номер
24, С. 100843 - 100843
Опубликована: Сен. 1, 2024
This
study
presents
a
novel
investigation
into
the
thermal
behavior
of
hybrid
nanofluid
(MgO
−
Ag
H2O)
in
natural
convection
around
porous
fin
triangular
enclosure
under
influence
radiation
and
magnetohydrodynamic
effects.
The
research
uniquely
combines
these
complex
phenomena,
addressing
significant
gap
literature.
configuration
has
potential
applications
advanced
solar
collectors,
electronic
cooling
systems
for
high-power
devices,
compact
heat
exchangers
various
industries.
main
objectives
are
to
understand
how
parameters
transfer
fluid
flow
optimize
design
enhanced
performance.
considers
range
variables
including
Rayleigh
number
(103
106),
Hartmann
(0
–
50),
Aspect
ratio
(0.3
0.6),
(Rd
=
1
5,
λ
5),
volume
concentration
(0-
0.05),
which
have
been
numerically
analyzed
using
finite
element
method
(FEM).
findings
reveal
that
increasing
Darcy
(Da)
enhances
at
low
numbers
(Ra
103,104).
However,
higher
Ra
impact
Da
becomes
more
complex,
with
critical
beyond
efficiency
decreases
due
an
increase
resistance.
nanoparticle
plays
vital
role,
as
concentrations
lead
improved
efficiency,
especially
Ra,
through
conductivity
dispersion.
length
greatly
impacts
patterns
rates,
longer
fins
creating
patterns,
promoting
stronger
plumes.
Thermal
radiation,
represented
by
λ),
significantly
influences
both
rate
convective
within
enclosure.
also
incorporates
comprehensive
entropy
generation
analysis,
providing
insights
system
irreversibilities
optimization
potential.
analysis
reveals
interplay
between
their
on
offering
valuable
guidance
designing
high-performance
management
systems.
Results in Engineering,
Год журнала:
2024,
Номер
22, С. 102261 - 102261
Опубликована: Май 12, 2024
Water
treatment
technology
is
advancing
to
extend
the
supply
of
pure
drinking
water
low-income
societies.
The
application
biomass-based
silver
nanoparticles
for
purification
among
outstanding
innovations
in
this
respect.
Silver
has
less
reactivity
and
excellent
stability,
which
makes
it
preferable
biological
applications
such
as
water.
In
research
review,
synthesis
(AgNPs)
using
different
techniques
chemical
synthesis,
physical
photochemical
was
discussed.
AgNPs
supported
by
biomass-driven
silica
gel
its
were
found
be
promising
technologies.
use
biobased
aerogel
disinfection
recently
been
subject
findings
an
effective
method
killing
microorganisms
from
characteristics
bio-silica
are
unequalled,
large
part
because
increased
porosity,
greater
surface
area,
extraordinarily
inadequate
thermal
conductivity
density,
potent
antibacterial
action
against
both
Escherichia
coli
(E.
coli)
Staphylococcus
aureas
(S.
aureus)
at
low
concentrations.
These
features
exhibited
that
bio-based
aerogel-coated
a
interest
also
have
anti-fouling
properties
prevent
clogging
membrane
filters,
enhances
their
potential
improving
quality
safety.
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102643 - 102643
Опубликована: Июль 31, 2024
With
the
remarkable
growth
and
implementation
of
communication
technology,
sensors,
measurement
equipment
in
Smart
Grid
(SG)
environment,
demand
side
management
(DSM)
response
(DRs)
can
be
easily
implementable
residential
energy
systems
integrated
with
renewable
sources
(RES).
Looking
at
this
perspective,
paper
suggests
an
intelligent
dynamic
load-priority-based
scheduling
optimal
smart
system
(REMS).
The
objectives
to
achieve
through
priority-based
case
a
are
multi-focussed
terms
peak
load
reduction,
consumer
choice
consumption
according
priority
basis,
cost-effectiveness
towards
electricity
price
savings.
issues
related
uncertainties
RES
due
environmental
dependency
must
incorporated
into
DSM.
A
single
objective
discrete
formulation
based
on
Adaptive
Salp
Swarm
Algorithm
(ASSA)
has
been
done
modelling
optimizing
crucial
parameters
for
scheduling,
ideally
operation
appliances,
along
prioritized-based
loads
available.
System
constraints,
priorities,
source
availability,
uncertainties,
considered
justify
approach
that
is
feasible
real-time
conditions.
To
enhance
search
capabilities
SSA,
control
vary
optimally
both
exploration
exploitation
stages
searching.
Comparative
results
genetic
algorithms
(GA),
particle
swarm
optimization
(PSO),
conventional
SSA
presented
different
cases,
such
as
(1)
traditional
homes
without
REMS,
(ii)
REMS
(iii)
using
RES.
