Agriculture,
Год журнала:
2023,
Номер
13(6), С. 1154 - 1154
Опубликована: Май 30, 2023
In
this
study
we
explored
the
methods
and
effects
of
spectral
resistance
reduction
for
soil-engaging
surface
self-excited
resonant
bulldozing
plates
with
a
plane
base
on
basis
resonance
effects.
acquisition
low-order
vibration
frequency
f0
bin
soil,
centering
around
point
f0,
eight
spatial
geometric
wave
points
ni
surfaces
three
amplitudes
were
selected;
by
superimposing
plane-based
plates,
24
structures
model
samples
combinatorically
designed.
Resistance
characteristics
each
sample
tested
using
an
indoor
soil
test.
Near
vibrating
spectrum
obtain
preferable
inhibitory
effect
working
resistance.
At
4
mm
amplitude
point,
achieved
best
effect,
maximum
relative
rate
22.67%,
desorption
relevant
was
also
good.
On
other
hand,
away
from
whether
increased
or
decreased,
corresponding
relatively.
This
is
in
good
agreement
law
that
theoretical
curve
higher
both
sides
lower.
paper
provides
reference
parameter
design
related
product
development
various
forced
cutting
tools.
Agronomy,
Год журнала:
2025,
Номер
15(4), С. 832 - 832
Опубликована: Март 27, 2025
The
digging
mechanism
is
the
component
of
garlic
harvesters
that
consumes
most
energy.
Consequently,
there
are
theoretical
gaps
in
design
resistance
reduction.
These
due
to
complexity
interaction
dynamics
between
shovel
and
soil,
insufficient
understanding
evolution
patterns
soil
damage.
To
address
these
challenges,
this
study
develops
a
finite
element
model
shovel–soil
system
using
damage
mechanics
characterize
nonlinear
mechanisms
under
operational
loading
conditions.
methodology
integrates
three
critical
phases:
(1)
analysis
was
employed
identify
key
parameters
for
calibration;
(2)
systematic
simulations
were
used
evaluate
effects
variables—entry
angle,
blade
bevel
forward
speed,
vibration
frequency—on
resistance;
(3)
orthogonal
experimental
optimization
carried
out.
Key
results
include
following:
(i)
A
relationship
identified
variables
(entry
frequency)
Furthermore,
threshold
optimal
performance
determined.
as
an
entry
angle
20°,
speed
0.39
m/s,
frequency
2.6
Hz.
(ii)
Validation
through
bin
experiments,
demonstrating
strong
agreement
simulated
measured
load–displacement
responses,
confirming
predictive
accuracy
model.
research
presented
paper
may
offer
insights
into
principles
low-resistance
designs
underground
fruit
harvesting.
Agriculture,
Год журнала:
2025,
Номер
15(8), С. 854 - 854
Опубликована: Апрель 15, 2025
In
the
mechanized
harvesting
of
root
vegetables,
loosening
is
a
key
factor
that
restricts
efficiency.
Existing
mechanical
methods
have
poor
effect
and
high
operational
resistance.
Therefore,
more
efficient
agricultural
machinery
needed
to
reduce
energy
consumption
improve
To
this
end,
based
on
excavation
mechanism
first
claw
toe
structure
mole
cricket
forefoot,
paper
designs
shovel
tip
bionic
by
extracting
its
contour
curve
analyzing
process,
constructs
working
resistance
model
dynamic
balance
equation
shovel,
determines
optimal
parameters
through
two-factor
three-level
orthogonal
simulation
experiments,
carries
out
comparative
experiments
with
common
shovels.
The
results
show
combination
operating
for
rotational
speed
ω
=
5
r/s
traveling
whole
machine
v
0.5
m/s.
disturbance
performance
31
soil
improved
51.59%
compared
reduced
12.17%.
study
proved
can
significantly
which
effectively
cutting
loss
during
process.
INMATEH Agricultural Engineering,
Год журнала:
2025,
Номер
unknown, С. 669 - 679
Опубликована: Апрель 28, 2025
Optimizing
parameters
is
a
crucial
step
in
designing
mechanical
structures
and
primary
means
of
raising
equipment
efficiency.
This
paper
proposes
multi-parameter
optimization
technique
that
combines
an
improved
genetic
algorithm(IGA)
ensemble
machine
learning(EML)to
optimize
licorice
harvester's
work
structure
parameters.
The
EML
model
trained
using
small
sample
dataset
built
on
the
coupled
DEM-MBD
(Multi-body
Dynamics
Coupled
Discrete
Element
Method)
simulation
model.
impact
base
learner
diversity
quantity
model's
prediction
accuracy
investigated.
Using
IGA,
harvester
are
optimized.
It
also
contrasted
with
conventional
response
surface
model(RSM)
parameter
techniques.
study
results
show
KNN
+lightGBM
+
catBoost
as
linear
meta-learner
has
R2
0.959,
MAE
0.048,
RMSE
0.06.
In
comparison
to
RSM,
EML-IGA
reduces
resistance
by
18.16%
specific
power
consumption
21.33%;
Pre-improvement
algorithm(PIGA),
it
11.36%
11.19%.
provides
reference
for
intelligent
methods.
Biomimetics,
Год журнала:
2025,
Номер
10(5), С. 306 - 306
Опубликована: Май 11, 2025
Subsoiling
is
an
effective
tillage
method
for
breaking
up
the
plough
pan
and
reducing
soil
bulk
density.
However,
subsoilers
often
encounter
challenges
such
as
high
draft
resistance
excessive
energy
consumption
during
operation.
In
this
study,
claw
toes
of
badger
scales
pangolin
were
selected
bionic
prototypes,
based
on
which
coupling
designed.
The
discrete
element
(DEM)
was
used
to
simulate
analyze
interactions
between
both
standard
subsoiler
subsoilers.
Field
experiments
conducted
validate
simulation
results.
results
showed
that
reduced
force
by
7.70-16.02%
compared
at
different
working
speeds.
Additionally,
disturbance
coefficient
decreased
5.91-13.57%,
bulkiness
2.84-18.41%.
field
experiment
average
11.06%
area.
validated
accuracy
DEM
This
study
provides
valuable
insights
designing
more
efficient
