On the Specimen Design, Physical Properties and Geometry Effect on Heat Generation and Thermal Gradient in Ultrasonic Fatigue
Felipe Klein Fiorentin,
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Rita de Cássia Dantas,
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Jorge Gil
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et al.
Machines,
Journal Year:
2025,
Volume and Issue:
13(5), P. 380 - 380
Published: April 30, 2025
Performing
fatigue
characterisation
is
often
an
expensive
task,
being
both
time
consuming
and
expensive.
Taking
that
into
account,
ultrasonic
testing
interesting
solution,
since
it
can
be
thousands
of
times
faster
than
traditional
experiments.
In
testing,
excitation
frequencies
are
in
the
order
magnitude
20
kHz,
while
common
typically
approximately
a
few
hundreds
Hz.
Although
promising,
has
some
challenges,
like
high
strain
rates,
heat
generation
complex
specimen
design.
Regarding
latter,
working
principle
tests
relies
on
exciting
one
its
natural
frequencies,
finding
geometry
to
resonate
at
this
given
frequency
might
challenging.
Additionally,
materials
present
challenges
associated
with
temperature
during
tests.
The
goal
paper
provide
guidelines
for
design,
encompassing
effects
critical
factors
their
impact
important
test
parameters,
dimensions.
proposed
methodology
developed
parameter
able
quantify
severity
several
based
physical
properties.
Moreover,
material
properties
loading
cycles,
special
focus
thermal
gradients
were
enumerated.
Language: Английский
Application of Intelligent Algorithms for Optimal Allocation of Accounting Education Resources in Higher Education Environments
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
Inadequate
allocation
of
accounting
education
resources
and
uneven
spatial
distribution
are
the
key
issues
affecting
high-quality
development
education,
arrival
era
intelligent
technology
provides
ideas
for
rational
higher
transformation
upgrading.
This
paper
constructs
a
multi-objective
planning
model
resource
explores
solution
method
based
on
fuzzy
particle
swarm
algorithm.
Population
initialization
is
achieved
by
combining
input-output
fuzzification
processing
optimization
search
in
control.
Subsequently,
fitness
every
assessed.
Next,
according
to
formula
PSO
algorithm
update
iteration,
position
speed
updated,
optimal
itself
population
continuously
iterated.
After
put
into
use
institutions
western
region
with
low
lower
levels
efficiency
decreased
7%,
all
regions
have
decreased.
The
number
configuration
rounds
this
paper’s
smaller
than
conflicts
PCA
SVM
method,
which
indicates
that
has
good
performance
optimizes
resources,
making
develop
balanced
way.
Language: Английский