Resent advances in underground water deironing and demanganization: Comprehensive review
Dzmitry Prapolski,
No information about this author
Valentin Romanovski
No information about this author
Journal of Water Process Engineering,
Journal Year:
2025,
Volume and Issue:
70, P. 107089 - 107089
Published: Jan. 28, 2025
Language: Английский
Analysis of air flow formation in a nozzle valve
Herald of Dagestan State Technical University Technical Sciences,
Journal Year:
2025,
Volume and Issue:
51(4), P. 171 - 178
Published: Jan. 20, 2025
Objective
.
To
accurately
assess
the
impact
of
ventilation
systems
on
acoustic
environment
a
room,
it
is
necessary
to
determine
length
vortex
zone
that
forms
as
air
flow
passes
through
throttling
devices.
The
article
examines
results
modeling
nozzle
valve
with
variable
cross-section
during
its
opening
and
closing
processes.
Method
analysis
airflow
formation
scenarios
at
various
positions
control
diaphragm
was
performed
using
Computational
Fluid
Dynamics
(CFD)
in
Ansys
Fluent
software
package.
Result
As
cross-sectional
area
decreases,
sharp
local
increase
velocity
observed,
along
zones
reverse
flows
resulting
from
ejection
effect.
Conclusion
presence
complex
turbulent
network
leads
increased
sound
pressure
levels
noise
penetrating
serviced
space.
Significant
deviations
recommended
maximum
velocity,
depending
scenario,
highlight
importance
considering
devices
calculations.
Analyzing
stabilization
section
enables
optimal
placement
valve,
preventing
breaking
up
due
combined
influence
resistances
(air
distribution
devices,
tees,
bends,
constant
valves).
reduce
risk
noise,
position
straight
duct
section,
least
one
diameter
before
three
diameters
after
device.
Language: Английский
Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone
Sensors,
Journal Year:
2025,
Volume and Issue:
25(6), P. 1914 - 1914
Published: March 19, 2025
In
the
construction
industry,
along
with
traditional
approaches
for
visual
and
instrumental
assessment
of
building
materials,
methods
based
on
intelligent
algorithms
are
increasingly
appearing;
in
particular,
machine
learning
neural
network
technologies.
The
utilization
modern
technologies
enables
us
to
enhance
processes
a
new
quality
level,
decreasing
pace
without
precision
losses
compared
methods.
This
research
introduces
novel
method
characterizing
crushed
stone
grain
morphology
using
application
specially
designed
three-dimensional
computer
vision
networks
point
data
clouds.
Flakiness
affects
strength,
adhesion,
location
grains.
So,
calculating
this
indicator
by
determining
planar
dimensions
each
particle
is
necessary
its
suitability
various
types
work.
Architectures
PointNet
PointCloudTransformer
chosen
as
basis
classification
algorithms.
input
were
3D
images
grains,
shapes
which
divided
into
needle-shaped,
plate-shaped,
cubic
classes.
accuracy
metric
achieved
during
training
both
models
was
0.86.
Using
algorithms,
analysis
via
manual
selection,
sieve
analysis,
or
special
equipment,
will
reduce
labor
can
also
serve
an
additional
source
verifying
materials
at
stages
construction.
Language: Английский
Analysis of the Impact of Residential Building Shape and Orientation on Energy Efficiency
Buildings,
Journal Year:
2025,
Volume and Issue:
15(8), P. 1359 - 1359
Published: April 19, 2025
The
construction
of
residential
buildings
and
structures
is
a
complex
process
in
which
the
economic
component
plays
key
role.
It
essential
to
maintain
balance
between
saving
materials
costs
additional
engineering
solutions
while
ensuring
functionality
comfort
building’s
operation.
To
achieve
this
goal,
researchers
initially
analyze
impact
climatic
environment
spatial
planning
solutions—i.e.,
building
shapes—that
directly
affect
compactness
ratio
when
evaluating
efficiency
designed
building.
In
regard,
objective
study
was
shapes
orientations
Republic
Kazakhstan
across
eight
territorial
units
located
I,
III,
IV
zones
latitudes
42°18′
52°16′
N.
identified
most
favorable
for
each
zone:
meridional
orientation
preferable
I
III
zones,
latitudinal
optimal
zone.
Four
shapes—square,
rectangular,
cylindrical,
triangular—were
analyzed
based
on
floor
area
1000
m2
volume
3000
m3
during
coldest
five-day
period
hottest
month.
According
specific
thermal
characteristic
values,
it
found
that
cylindrical
1.1,
1.37,
1.27
times
more
efficient
than
square,
triangular
buildings,
respectively.
Additionally,
determined
different
heights,
ranging
from
8
16
floors
increments
four
floors.
results
showed
under
these
conditions,
increases
by
an
average
1.3
due
increase
external
walls.
However,
if
initial
condition
changed
account
solely
area,
decreases
up
2.3
times.
conducted
research
shows
solving
problem
energy
building,
taking
into
orientations,
necessary
carry
out
full
assessment
specified
parameter
depending
expected
results,
requires
comprehensive
analysis
energy-efficient
buildings.
At
same
time,
will
be
used
positively
complement
authors
development
exterior
enclosing
structures,
which,
together
with
general
solutions,
significantly
earlier.
Language: Английский
Digital Platform for Accelerated Materials Development: Status, Challenges, Prospects, Technologies
E.V. Aleksandrov,
No information about this author
A.Yu. Koltsov,
No information about this author
D.G. Melikyants
No information about this author
et al.
Published: April 14, 2025
When
making
scientific
discoveries,
it
is
extremely
important
for
researchers
to
have
access
as
large
a
data
set
possible
in
order
obtain
more
complete
picture
of
the
material
characteristics.
Another
factor
limiting
scientist's
ability
invent
new
materials
lack
understanding
basic
physical
and
chemical
laws
inherent
system
under
study.
Currently,
there
no
standard
procedure
exchanging
predictive
algorithms
computational
methods
between
research
groups
various
fi
elds
knowledge.
At
same
time,
development
promising
products
determined
by
success
solving
number
technological
problems.
The
terms
these
developments
are
significantly
reduced,
volume
significance
results
solution
increased
using
latest
achievements
field
digital
science,
artificial
intelligence
organization
process.
Language: Английский