Study on the Effects of Dust Particle Size and Respiratory Intensity on the Pattern of Respiratory Particle Deposition in Humans
Indoor Air,
Год журнала:
2024,
Номер
2024(1)
Опубликована: Янв. 1, 2024
Nowadays,
dust
exposure
pollution
is
receiving
a
lot
of
attention
due
to
its
significant
impact
on
public
health.
To
investigate
the
particle
size
and
human
respiratory
strength
deposition
patterns,
data
was
collected
through
on‐site
surveys.
The
study
analyzed
equivalent
strength,
environment
characteristics,
bronchial
escape
patterns
humans
in
fully
mechanized
mining
faces
at
various
operating
times.
This
done
using
ergonomic
energy
consumption
simulation
experiments
fluid–solid
interaction
method
CFD‐DEM.
findings
revealed
that
as
worked
continuously
for
5,
15,
30,
45,
60
min,
their
intensity
corresponded
8,
18,
42,
50
L/min,
respectively.
According
field
investigation
analysis,
distribution
1~5,
5~10,
10~20,
20~30,
30~40
μ
m
particles
accounted
36%,
26%,
15%,
11%,
10%,
In
general,
rate
highest
main
bronchus
tract,
followed
by
trachea
area.
Particles
ranging
from
5
10
were
observed
have
higher
likelihood
escaping
tertiary
bronchioles
entering
secondary
regions.
Conversely,
larger
than
20
exhibited
up
80%
It
noted
varying
sizes
increased
with
smaller
showing
greater
sensitivity
changes
terms
fraction.
Among
different
sizes,
5–10
most
variation
increasing
respiration
intensity,
17%.
Язык: Английский
Exposure to polluted environments rich in inhalable aerosols: A study on transport and deposition patterns of aerosol particles in the human respiratory tract
Journal of Aerosol Science,
Год журнала:
2025,
Номер
unknown, С. 106581 - 106581
Опубликована: Март 1, 2025
Язык: Английский
Experimental Study of Particle Deposition Distribution on the Vertical Wall Behind Near-Wall Heat Sources
Xi Chen,
Jialing Xia,
Jiangyi Li
и другие.
Aerosol Science and Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 23, 2024
Язык: Английский
Analyzing the inspiratory airflow unsteadiness in the respiratory tract using dynamic mode decomposition method
Physics of Fluids,
Год журнала:
2024,
Номер
36(10)
Опубликована: Окт. 1, 2024
To
enhance
the
understanding
of
airflow
characteristics
in
human
respiratory
tract,
inspiratory
field
was
simulated
under
both
tidal
and
quasi-steady
flow
rates
at
mouth
inlet
using
large
eddy
simulation
method.
Special
attention
paid
on
analyzing
unsteadiness
dynamics
mode
decomposition
(DMD)
method
based
vorticity
comparing
it
with
proper
orthogonal
(POD)
The
following
novel
findings
were
obtained.
(1)
Power
spectral
density
indicates
that
is
highly
turbulent
pharynx–larynx
region.
upper
airway
more
affected
by
patterns
compared
to
turbulence
fluctuations.
(2)
DMD
results
indicate
shear
region
mainly
caused
low-frequency
modes,
while
disturbances
jet
are
multiple
frequency
modes.
Steady-state
pattern
demonstrates
decay
different
from
pattern.
(3)
Compared
POD
method,
which
may
contain
components,
yields
modes
a
single
frequency,
enabling
accurate
capture
each
mode.
In
conclusion,
this
study
suitable
for
studying
further
confirms
necessity
adopting
clinically
measured
data
investigate
unsteadiness.
Язык: Английский