Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 21, 2024
Heat
exchangers,
nuclear
power
plants,
and
other
engineering
manufacturing
operations
all
involve
high
temperatures.
These
systems
have
a
very
big
temperature
gradient,
which
has
substantial
impact
on
the
fluid's
transport
characteristics.
Under
such
circumstances,
using
linear
Boussinesq
approximation
taking
into
account
constant
thermophysical
parameters
for
ambient
liquid
become
meaningless.
Thus,
under
angled
magnetic
field
joule
heating,
radiative
convection
flow
of
blood-based
tetrahybrid
nanoliquid
in
squeezing
channel
is
examined
this
work.
The
base
fluid
that
contains
distributed
alumina,
gold,
silver,
titania
nanoparticles
blood.
Through
suitable
transformations,
partial
governing
equations
were
decreased
nonlinear
ordinary
differential
equation's,
are
then
resolved
mathematically
applying
fourth-order
accurate
BVP4C
technique.
increase
viscous
dissipation
parameter
corresponds
toward
notable
elevation
blood
profile.
rate
heat
transfer
57.4519%
improved
Au-Ag-Al
2
O
3
-TiO
/blood
than
pure
Journal of Mathematics,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
This
article
investigates
the
flow
and
heat
transfer
of
a
nanofluid
liquid
film
containing
carbon
nanotube
nanoparticles
over
stretching
surface
under
influence
an
aligned
magnetic
field
in
Darcy‐Forchheimer
absorbent
medium.
The
study
examines
two
aqueous‐based
combinations:
one
with
single‐wall
nanotubes
(SWCNTs)
other
multi‐WCNTs
(MWCNTs).
choice
these
is
owing
to
their
amazing
characteristics
including
feather‐weight,
remarkable
thermal
electrical
conductivities,
chemical
mechanical
steadiness.
These
flows
are
influenced
by
variable
nonuniform
source/sink
effects
radiation.
Furthermore,
analysis
incorporates
distinct
homogeneous‐heterogeneous
(h‐h)
reactions.
novel
unsupervised
Morlet
wavelet
neural
networks
(MW‐NNs),
combined
heuristic
algorithm,
used
solve
nonlinear
ordinary
differential
equations
(ODEs).
MW
function
transforms
ODEs
into
artificial
NNs‐based
fitness
then
particle
swarm
optimization
(PSO)
for
optimal
values.
weights
MW‐NNs
optimized
using
PSO
within
range
−10
10.
To
evaluate
convergence
this
approach,
fifty
independent
runs
were
performed
compute
statistical
results
presented
through
illustrations
tabulated
estimates.
It
witnessed
that
fluid
velocity
shows
conflicting
trends
thickness
parameters.
also
examined
temperature
enhanced
radiation
