Özgür Yayınları eBooks,
Год журнала:
2023,
Номер
unknown
Опубликована: Июнь 22, 2023
The
AA7075
and
AA7020
alloys
were
prepared
using
a
vacuum
melting
furnace
casting
furnace.
Mechanical
properties
of
the
alloy
samples
investigated
as-cast
under
heat-treated
conditions.
To
investigate
effect
heat
treatment,
numerous
designed
homogenized
(solution
process)
in
two
steps
(300
oC/12h+475
oC/12h)
then
aged
different
regimes.
mechanical
microhardness
(HV),
ultimate
tensile
strength
(σUTS),
yield
(σTYS),
compressive
(σCYS)
Young's
modulus
(E)
measured
to
treatment
on
properties.
Both
systems
(AA7075
AA7020)
compared
both
within
themselves
with
each
other
terms
depending
how
they
subjected
treatment.
Depending
applied
treatments,
7075
exhibited
superior
7020
alloy.
A
good
combination
high
reasonable
has
been
achieved
for
by
sequential
appropriate
While
peak
sUTS
value
reached
was
425
MPa
(regime
3),
it
determined
as
320
2)
After
aging
process
at
150
oC/24h
proceeding
homogenization
process,
HV
sCYS
values
1235
321.6
MPa,
respectively.
Electronics,
Год журнала:
2021,
Номер
10(21), С. 2689 - 2689
Опубликована: Ноя. 3, 2021
In
the
last
few
years,
intensive
research
has
been
done
to
enhance
artificial
intelligence
(AI)
using
optimization
techniques.
this
paper,
we
present
an
extensive
review
of
neural
networks
(ANNs)
based
algorithm
techniques
with
some
famous
techniques,
e.g.,
genetic
(GA),
particle
swarm
(PSO),
bee
colony
(ABC),
and
backtracking
search
(BSA)
modern
developed
lightning
(LSA)
whale
(WOA),
many
more.
The
entire
set
such
is
classified
as
algorithms
on
a
population
where
initial
randomly
created.
Input
parameters
are
initialized
within
specified
range,
they
can
provide
optimal
solutions.
This
paper
emphasizes
enhancing
network
via
by
manipulating
its
tuned
or
training
obtain
best
structure
pattern
dissolve
problems
in
way.
includes
results
for
improving
ANN
performance
PSO,
GA,
ABC,
BSA
respectively,
parameters,
number
neurons
hidden
layers
learning
rate.
obtained
net
used
solving
energy
management
virtual
power
plant
system.
