Characterization and machine learning analysis of hybrid alumina-copper oxide nanoparticles in therminol 55 for medium temperature heat transfer fluid
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 11, 2025
Abstract
Efficient
heat
dissipation
is
crucial
for
various
industrial
and
technological
applications,
ensuring
system
reliability
performance.
Advanced
thermal
management
systems
rely
on
materials
with
superior
conductivity
stability
effective
transfer.
This
study
investigates
the
conductivity,
viscosity,
of
hybrid
Al
2
O
3
-CuO
nanoparticles
dispersed
in
Therminol
55,
a
medium-temperature
transfer
fluid.
The
nanofluid
formulations
were
prepared
CuO-Al
mass
ratios
10:90,
20:80,
30:70
tested
at
nanoparticle
concentrations
ranging
from
0.1
wt%
to
1.0
wt%.
Experimental
results
indicate
that
nanofluids
exhibit
enhanced
maximum
improvement
32.82%
concentration,
compared
base
However,
viscosity
increases
loading,
requiring
careful
optimization
practical
applications.
To
further
analyze
predict
Type-2
Fuzzy
Neural
Network
(T2FNN)
was
employed,
demonstrating
correlation
coefficient
96.892%,
high
predictive
accuracy.
integration
machine
learning
enables
efficient
modeling
complex
behavior,
reducing
experimental
costs
facilitating
optimization.
These
findings
provide
insights
into
potential
application
solar
systems,
exchangers,
cooling
Язык: Английский
A critical analysis on synthesis of nanofluids and factors affecting thermal conductivity of nanofluids for heat transfer applications: a review
International Journal of Chemical Reactor Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 18, 2025
Abstract
In
recent
years,
nanotechnology
has
emerged
as
a
field
of
study
concerned
with
producing
materials
at
the
nanoscale
and
their
usage
for
research
commercial
purposes
like
nanoelectronics,
biomedicals,
energy
storage,
environmental
remediation,
heat
transfer
applications,
etc.
This
review
provides
comprehensive
analysis
nanofluid
synthesis
methods,
specifically
one-step
two-step
approaches,
focus
on
scalability
industrial
feasibility.
The
main
aim
this
article
is
to
provide
quick
reference
researchers
working
nanofluids
applications
in
various
thermal
systems.
development
enhanced
fluids
result
obvious
demand
that
are
more
efficient.
systematically
examines
advancements
nanofluids,
emphasizing
key
factors
influencing
conductivity,
such
nanoparticle
properties,
base
fluids,
concentration,
stability,
dispersion
mechanisms.
Additionally,
explores
integration
exchangers,
internal
combustion
(IC)
engines,
convective
boiling,
renewable
Furthermore,
address
sustainability
potential
ecological
effects
discussion
impact
presented,
highlighting
need
green
methods
life
cycle
assessments.
intends
useful
information
about
optimization
efficient
management
future
Язык: Английский