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Journal ArticleDOI

Air recovery assessment on high-pressure pneumatic systems

01 Sep 2017-Vol. 231, Iss: 18, pp 3370-3381
TL;DR: In this article, a computational simulation and experimental work of the fluid flow through the pneumatic circuit used in a stretch blow molding machine is presented, which is built around a zero-dimensional thermodynamic model for the air blowing and recycling containers together with a non-linear time-variant deterministic model.
Abstract: A computational simulation and experimental work of the fluid flow through the pneumatic circuit used in a stretch blow moulding machine is presented in this paper. The computer code is built around a zero-dimensional thermodynamic model for the air blowing and recycling containers together with a non-linear time-variant deterministic model for the pneumatic three stations single acting valve manifold, which, in turn, is linked to a quasi-one-dimensional unsteady flow model for the interconnecting pipes. The flow through the pipes accounts for viscous friction, heat transfer, cross-sectional area variation, and entropy variation. Two different solving methods are applied: the method of characteristics and the Harten-Lax-Van Leer (HLL) Riemann first-order scheme. The numerical model allows prediction of the air blowing process and, more significantly, permits determination of the recycling rate at each operating cycle. A simplified experimental set-up of the industrial process was designed, and the pressure and temperature were adequately monitored. Predictions of the blowing process for various configurations proved to be in good agreement with the measured results. In addition, a novel design of a valve manifold intended for the polyethylene terephthalate (PET) plastic bottle manufacturing industry is also presented.

Summary (3 min read)

Introduction

  • In 1981 Air Products and Chemicals Inc.1 published a patent related to a process for the production of blow moulded articles in which the blowing gas was recovered and treated to be used in subsequent moulding operations.
  • In 2003 Technoplan8 published an invention which targeted the optimization of the above-mentioned methods.
  • A relevant improvement was the fact that the recovered gas (17 bar) was expanded before being used in the low-pressure air phase, which meant that it did not have influence on the low-pressure air at the time of its use.

Mathematical model of the air blow

  • Due to the complexity of the air blow moulding machine, the pneumatic circuit has been reduced to the pneumatic scheme depicted in Figure 1, resulting in three individual submodels, which are represented by the fluid flow through the pipes, the charging and discharging process from/to the vessels and the fluid dynamics inside the valve manifold.
  • The valve manifold is supplied with two different pressures, and a special cylinder is responsible for providing compressed air to the plastic preform through a hollowed stretching rod.
  • It must be pointed out that the main scope of this study does not take into account the deformation of the preform during the blowing process, but the amount of air that is needed to produce the bottle.
  • On the other hand, for the sake of simplicity the simulation will omit the components located before the valve manifold, such as the filter and pressure regulator.
  • At a certain stage, the air in the recycling chamber equalizes the pressure in the cavity chamber, being the point when the recycling process ends, and the remaining air in the cavity chamber is released to the atmosphere.

Mathematical model at the pipes

  • The flow through the pipes connecting the different units has been considered quasi-one-dimensional and the methods implemented in order to determine the characteristics of the fluid flow have been the method of characteristics (MOC)10,11 and the HLL Riemann solver12–14 respectively.
  • Both models were implemented in Fortran and only differed in the way that the governing equations were solved.
  • The simulations were run on a x86 (32-bit) architecture Pentium processor with a dual Intel Core Quad CPU 2.4 GHz processor and 3.0 GB memory.

Zero-dimensional thermodynamic volume

  • The performance of the recycling system is determined largely by the efficiency of the processes of charging and discharging.
  • It must be taken into account that the equations above are only valid under the assumption that a perfect mixing of the fluid to an equilibrium state occurs, so the use of a single pressure and temperature describe the state of the gas in the vessels.
  • Pn i¼1 PiAi Ffvi Fsvi represents the balance of forces acting on the spool valve body.
  • The flow entering and exiting each valve port _m0=5vi will be calculated by the results obtained at the boundary conditions applied to the pipe ends.
  • On the other hand, the flow through any narrow annular clearance, where a sealing component is located, was ignored.

Boundary conditions

  • The procedure used to determine the variable values at the boundaries has been based on solving the governing equations through a convergent nozzle.
  • Contrary to what occurs when considering the boundary conditions near a high-volume reservoir the speed of the fluid cannot be disregarded, and therefore the stagnation pressure will be influenced by the kinetic energy of the fluid at each specific control volume.
  • The different cases that must be taken into account are as follows.
  • Similarly to the sonic inflow the equations described above for the subsonic outflow can be used for the sonic case but with the exception of the last equations which must be substituted by aT ¼ uT. [AQ10] 21,22, also known as Sonic outflow.
  • To determine the boundary condition at the pipe end connected with the vessel, the state in the vessel at time tþ t is obtained explicitly from the state at time t.

Experimental set-up

  • The pneumatic configuration, previously detailed in Figure 1, will now be experimentally reproduced.
  • The operating conditions of the single-station blowing unit were defined on the basis of the blowing stages applied by the PET manufacturers.
  • The initial trials helped to identify the limitations of the first prototypes.
  • The maximum operating pressure under which the valve manifold was able to work varied between 20 and 30 bar respectively.
  • Due to this fact, a pressure peak within the cavity vessel may be generated during the low-pressure blowing stage, which can be explained by the lack of a regulating device acting between the two vessels, so the internal geometry of the valve manifold as well as the existing pneumatic connections will constrain the efficiency of the system.

Results and discussion

  • Figures 5 illustrates the pressure characteristics based on the test set-ups highlighted in blue in Table 2.
  • On the contrary, when employing nondimensional parameters C, bð Þ to estimate the flow rate through the valve manifold ports, the result differs significantly from the empirical values.
  • It must be noted that this approach was exclusively applied in combination with the MOC (MOC0).
  • The empirical results show a transition time which has not been reproduced by the simulation.
  • The reason behind this behaviour is based on the fact that the time required to equalize the pressure in the cavity and the recycling vessel was lower than the set-up time given to switch on valve V3.

Conclusion

  • The primary intent of this work has been to demonstrate the difficulties of improving the efficiency of a standard high-pressure pneumatic application.
  • The experimental set-up phase was proved to be capable of reproducing the industrial conditions normally used by PET bottle manufacturers.
  • [AQ29] blowing stage, was not an obstacle to validate the functionality of the pneumatic system.
  • As demonstrated, the amount of recycled air supplied to the cavity vessel during the low-pressure air blowing phase allowed avoiding the use of a low-pressure compressor.

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Original Article
Air recovery assessment on
high-pressure pneumatic systems
Jose
´
A Trujillo, Pedro J Gamez-Montero
and Esteban Codina Macia
`
v
Abstract
A computational simulation and experimental work of the fluid flow through the pneumatic circuit used in a stretch blow
moulding machine is presented in this paper. The computer code is built around a zero-dimensional thermodynamic
model for the air blowing and recycling containers together with a non-linear time-variant deterministic model for
the pneumatic three stations single acting valve manifold, which, in turn, is linked to a quasi-one-dimensional unsteady
flow model for the interconnecting pipes. The flow through the pipes accounts for viscous friction, heat transfer,
cross-sectional area variation, and entropy variation. Two different solving methods are applied: the method of charac-
teristics and the HLL Riemann first-order scheme. The numerical model allows prediction of the air blowing process and,
more significantly, permits determination of the recycling rate at each operating cycle. A simplified experimental set-up of
the industrial process was designed, and the pressure and temperature were adequately monitored. Predictions of the
blowing process for various configurations proved to be in good agreement with the measured results. In addition, a
novel design of a valve manifold intended for the polyethylene terephthalate (PET) plastic bottle manufacturing industry is
also presented.
[AQ1]
Keywords
Air recycling system, energy assessment, air blow moulding manufacturing process, pneumatic valve manifold
Date received: 6 November 2015; accepted: 10 March 2016
Introduction
Despite the many contributions linked to energy con-
servation in pneumatic systems, no publications report
the efficiency on high-pressure pneumatic applications.
[AQ2]In order to bring some light to this issue, it is
crucial to get into the patents published during the last
20 years. Amongst various industrial applications that
require high-pressure air, polyethylene terephthalate
(PET) stretch blow moulding machine manufacturers
have contributed significantly to enhancing energy effi-
ciency in that specific field of pneumatic systems.
In 1981 Air Products and Chemicals Inc.
1
pub-
lished a patent related to a process for the production
of blow moulded articles in which the blowing gas was
recovered and treated to be used in subsequent
moulding operations. A year later Robert Bosch
GmbH suggested recovering the compressed air used
in the moulding operation to feed other pneumatic
applications. A similar proposal was provided by
The Continental Group Inc.
2
in 1984, which was sub-
sequently taken as a reference by other blow moulding
bottle manufacturers. In 1995 Krupp Corpoplast
Maschinenbau GmbH
3,4
presented an invention that
recovered part of the air used for moulding a
container made of thermoplastic material. The high-
pressure blowing air was supplied to the low-pressure
air supply during a transitional phase by employing a
reversing mechanism. An invention that has been
cited by several blowing machine manufacturers is
the patent of Procontrol AG (1996),
5
which proposed
to produce the high-pressure air adiabatically while
the low-pressure air was generated isothermically,
thus enabling the entire blowing process to be carried
out with the smallest possible amount of energy. Over
the same period and based on the same principle,
A.K. Tech Lab Inc. (1997)
6
proposed recovering the
exhaust air into a tank that later supplied air to oper-
ate secondary pneumatic circuits. In order to compen-
sate for the difference between the recovered air and
that consumed by the installation, a compressor
LABSON, Campus Terrassa, UPC, Terrassa, Barcelona, Spain
Corresponding author:
Jose
´
A Trujillo, Escuela Tcnica Superior de Ingenieras Industrial y
Aeronutica de Terrassa, Campus de Terrassa, Edificio TR5, C/ Colom,
11 Terrassa, 08222 Spain.
Email: jose.trujillo@ast.es
Proc IMechE Part C:
J Mechanical Engineering Science
0(0) 1–12
! IMechE 2016
Reprints and permissions:
sagepub.co.uk/journalsPermissions.nav
DOI: 10.1177/0954406216645823
pic.sagepub.com

provided sufficient air to balance the pressure in the
tank. Also, the proposal of Asahi Kasei Kogoyo
Kabushiki Kaisha (1993)
7
must be taken into account,
which added a recovery container from which the com-
pressed gas could be aspirated by a multistage com-
pressor. In 2003 Technoplan
8
published an invention
which targeted the optimization of the above-men-
tioned methods. A relevant improvement was the fact
that the recovered gas (17 bar) was expanded before
being used in the low-pressure air phase, which meant
that it did not have influence on the low-pressure air at
the time of its use. On the other hand, several proposals
were given to re-use the recovered air, such as actuating
the preform-stretching rams, actuating consumables
of the packaging-production machine, or even return-
ing the recycled gas to the compressed air network. The
method allowed around 20% to 45% of air recovery
and a reduction of electrical power consumption of
15% to 45%.
[AQ3]Based on the existing state of the art it may
be concluded that even though numerous attempts
have been made to improve the efficiency of air blow-
ing pneumatic systems, there are no previous publica-
tions which focused specifically on analysing the
complexity of this particular industrial field.
Therefore, this investigation aims to determine the
main constraints that limit the efficiency of a blow
moulding plastic PET bottle pneumatic circuit with
the help of a computational model which is able to
predict the maximum amount of recycled air that may
be ensured at each operating cycle. Moreover, this
tool will not only contribute to assessing the efficiency
of the air blowing machine but will also allow re-
designing of the regpneumatic lay-out to minimize
the energy losses.
9
Mathematical model of the air blow
moulding pneumatic system
[AQ4]
Due to the complexity of the air blow moulding
machine, the pneumatic circuit has been reduced to
the pneumatic scheme depicted in Figure 1, resulting
Figure 1. [AQ30]Single station PET bottle production pneumatic scheme with air recovery system. [AQ5]
2 Proc IMechE Part C: J Mechanical Engineering Science 0(0)

in three individual submodels, which are represented
by the fluid flow through the pipes, the charging and
discharging process from/to the vessels and the fluid
dynamics inside the valve manifold. The valve mani-
fold is supplied with two different pressures, and a
special cylinder is responsible for providing com-
pressed air to the plastic preform through a hollowed
stretching rod. From the patents mentioned in the
previous section we learned that once the plastic
bottle is produced, the air inside the container is par-
tially recycled while the remaining fluid is exhausted
to the atmosphere once the air level inside the recy-
cling chamber reaches a certain pressure. It must be
pointed out that the main scope of this study does not
take into account the deformation of the preform
during the blowing process, but the amount of air
that is needed to produce the bottle. As a matter of
fact the pressure characteristics inside the mould will
behave slightly differently in a real blow moulding
machine. On the other hand, for the sake of simplicity
the simulation will omit the components located
before the valve manifold, such as the filter and pres-
sure regulator.
The recycling stage always takes place after closing
V
1
(refer to Figure 1). At this point the air flows
through the pipe connecting the cavity chamber and
the manifold, and circulates through the valve mani-
fold until it reaches the recycling chamber. At a cer-
tain stage, the air in the recycling chamber equalizes
the pressure in the cavity chamber, being the point
when the recycling process ends, and the remaining
air in the cavity chamber is released to the atmos-
phere. As a matter of fact, the use of an additional
recycling process may be also considered at this point,
however, a different concept design of the valve mani-
fold should be used. It must be noted that the amount
of energy available in the cavity chamber drops as the
pressure decreases so an additional recycling stage
should be considered.
Mathematical model at the pipes
The flow through the pipes connecting the different
units has been considered quasi-one-dimensional and
the methods implemented in order to determine the
characteristics of the fluid flow have been the method
of characteristics (MOC)
10,11
and the HLL Riemann
solver
12–14
respectively. [AQ6] Both models were
implemented in Fortran and only differed in the way
that the governing equations were solved. The simu-
lations were run on a x86 (32-bit) architecture
Pentium processor with a dual Intel Core Quad
CPU 2.4 GHz processor and 3.0 GB memory.
Zero-dimensional thermodynamic volume
The performance of the recycling system is deter-
mined largely by the efficiency of the processes of
charging and discharging. The vessels have been
discretized by a zero-dimensional model, and the gov-
erning equations are as follows.
. Non-adiabatic charging:
dP
dt
¼
_
m
in
RT
V
T
in
T
v
2
in
2c
v
T

ð 1Þ
w
A
w
T
PV
1
T
w
T

ð1Þ
dT
dt
¼
_
m
in
RT
2
PV
T
in
T
1
v
2
in
2c
v
T

ð 1Þ
w
A
w
T
2
PV
1
T
w
T

ð2Þ
. Non-adiabatic discharging:
dP
dt
¼
_
m
out
RT
V
T
out
T
v
2
out
2c
v
T

w
A
w
T
PV
1
T
w
T

ð3Þ
dT
dt
¼
_
m
out
RT
2
PV
T
out
T
1
v
2
out
2c
v
T

ð 1Þ
w
A
w
T
2
PV
1
T
w
T

ð4Þ
where the suffix ‘in’ refers to the port where inflow
occurs, and the suffix ‘out’ refers to the port where
outflow occurs. It must be taken into account that the
equations above are only valid under the assumption
that a perfect mixing of the fluid to an equilibrium
state occurs, so the use of a single pressure and tem-
perature describe the state of the gas in the vessels.
Mathematical model of the valve manifold
The following discussion assumes that the spool valve
only moves in the axial direction. Therefore, the devi-
ation from the central position caused by unsteady
transverse flow forces was not taken into account.
The alignment of the spool valve with respect to the
valve body is a basic factor in avoiding possible eccen-
tricities which may cause a rotating movement of the
spool valve, that may consequently lead to the gener-
ation of a moment with respect to its central axis.
The control volume depicted in Figure 2 describes
the nature of F
s
, which is represented by the static
pressure force acting on the spool valve and the flow
force F
f
yielded by the flow passage across the valve
that originates a linear momentum change.
Therefore, based on the previous assumptions the
dynamics of each spool valve is given by
m
s
v
i
ð
z
v
i
þ g Þþc
f
_
z
v
i
þ k
v
i
ðz þ z
o
Þ
v
i
¼ F
f
v
i
þ F
s
v
i
ð5Þ
Trujillo et al. 3

where z is the instantaneous vertical displacement
referenced from the seat, k
v
i
is the spring rate,
F
s
v
i
and F
f
v
i
are the pressure forces acting on the
entire control surface and the flow forces respectively,
and v
i
is the index assigned to each spool valve.
The equation describing the dry friction force
between the contacting surfaces can be mathematic-
ally represented as follows:
15–19
F
c
¼
F
c
n
sgnð
_
zÞ if
_
z 0
if jj5 F
c
0
if
_
z ¼ 0
F
c
0
sgnðÞ if jj5F
c
0
if
_
z ¼ 0
8
>
<
>
:
where F
c
n
is the nominal dry friction force on the spool
valve, F
c
0
is the initial dry friction force on the spool
valve, and ¼
P
n
i¼1
P
i
A
i
F
f
v
i
F
s
v
i
represents the
balance of forces acting on the spool valve body.
After applying the Navier–Stokes equations in vector
form in the control volumes shown in Figure 2, the
result will be as follows:
m
s
v
i
z
v
i
þ c
f
_
z
v
i
þ k
v
i
ðz þ z
o
Þ
v
i
¼ðA
p
P
p
Þ
v
i
þðA
s
P
s
Þ
v
i
ðA
u
P
u
Þ
v
i
ðA
l
P
l
Þ
v
i
ðA
n
P
n
Þ
v
i
þ m
s
v
i
g
@
@t
_
mðz þ z
o
Þ½
_
mv
out
v
in
ðÞ ð6Þ
The steady-state form of equation (6) is
k
v
i
ðz þ z
o
Þ
v
i
¼ðA
p
P
p
Þ
v
i
þðA
s
P
s
Þ
v
i
ðA
u
P
u
Þ
v
i
ðA
l
P
l
Þ
v
i
ðA
n
P
n
Þ
v
i
þ m
s
v
i
g
_
mv
out
v
in
ðÞ
ð7Þ
which can be manipulated in order to determine the
minimum force required to shift the valve from the
rest position,
A
p
P
p
Þ
v
i
5k
v
i
ðz þ z
o
Þ
v
i
ðA
s
P
s
Þ
v
i
ðA
u
P
u
Þ
v
i
ðA
l
P
l
Þ
v
i
ðA
n
P
n
Þ
v
i
þ m
v
i
g

ð8Þ
The mass flow through the spool valve openings
can be either subsonic or sonic depending on the
pressure ratio between inlet and outlet pressure.
Figure 2. (a) Static and flow fluid forces acting on the spool valve lower packing before and after opening. (b) Schematic view of the
main valve body and pilot ports of the pneumatic unit.
[AQ7]
4 Proc IMechE Part C: J Mechanical Engineering Science 0(0)

We, therefore, get
_
m
m2
v
i
¼
C
d
2
v
i
A
0
1
P
ðsÞ,v
i
ffiffiffiffiffiffiffi
T
ðsÞ,v
i
p
if
P
ðmÞ, v
i
P
ðsÞ, v
i
4P
cr
C
d
2
v
i
A
0
2
P
ðsÞ,v
i
ffiffiffiffiffiffiffi
T
ðsÞ,v
i
p
P
ðmÞ,v
i
P
ðsÞ,v
i

1=
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1
P
ðmÞ,v
i
P
ðsÞ,v
i

ð1Þ=
r
8
>
>
<
>
>
:
9
>
>
=
>
>
;
if
P
ðmÞ, v
i
P
ðsÞ, v
i
4 P
cr
8
>
>
>
>
>
>
<
>
>
>
>
>
>
:
_
m
m3
v
i
¼
C
d
3
v
i
A
0
1
P
ðmÞ,v
i
ffiffiffiffiffiffiffiffi
T
ðmÞ,v
i
p
if
P
ðuÞ, v
i
P
ðmÞ, v
i
4P
cr
C
d
3
v
i
A
0
2
P
ðmÞ,v
i
ffiffiffiffiffiffiffiffi
T
ðmÞ,v
i
p
P
ðuÞ,v
i
P
ðmÞ,v
i

1=
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1
P
ðuÞ,v
i
P
ðmÞ,v
i

ð1Þ=
r
8
>
>
<
>
>
:
9
>
>
=
>
>
;
if
P
ðuÞ, v
i
P
ðmÞ, v
i
4 P
cr
8
>
>
>
>
>
>
<
>
>
>
>
>
>
:
_
m
m4
v
i
¼
C
d
4
v
i
A
0
1
P
ðresÞ, v
i
ffiffiffiffiffiffiffiffiffiffi
T
ðresÞ, v
i
p
if
P
ðpÞ, v
i
P
ðresÞ, v
i
4P
cr
C
d
4
v
i
A
0
2
P
ðresÞ, v
i
ffiffiffiffiffiffiffiffiffiffi
T
ðresÞ, v
i
p
P
ðpÞ,v
i
P
ðresÞ, v
i

1=
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1
P
ðpÞ,v
i
P
ðresÞ, v
i

ð1Þ=
r
8
>
>
<
>
>
:
9
>
>
=
>
>
;
if
P
ðpÞ, v
i
P
ðresÞ, v
i
4 P
cr
8
>
>
>
>
>
>
<
>
>
>
>
>
>
:
where C
d
v
i
is a non-dimensional discharge coefficient
referring to the corresponding spool valve seat, and
the subscript ‘(res)’ refers to the reservoir that supplies
air to the pilot port of the valve manifold. On the
other hand the stagnation pressure and temperature
of the fluid upstream and downstream of the restric-
tion will alternately vary depending on the flow dir-
ection, and this applies equally to the downstream
stagnation pressure. The following are constants
that depend on the specific heat ratio of the given
fluid:
1
¼
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
R
2
þ 1

þ1
1
s
;
2
¼
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
2
Rð 1Þ
s
;
P
cr
¼
2
þ 1

1
The air flowing through the piloting channels, incor-
porated in the lower packing of the spool valves, is
assumed to be laminar,
20
and is determined by
_
m
m1
v
i
¼ %
av
d
4
c
128
av
P
l
c
ð9Þ
where d
c
and l
c
are the internal diameter and length of
the piloting channels,
av
and %
av
are the average
value of the dynamic viscosity and density of the
fluid, and P is the pressure drop between internal
volumes.
The flow entering and exiting each valve port
_
m
0=5
v
i
will be calculated by the results obtained at the
boundary conditions applied to the pipe ends.
[AQ8]On the other hand, the flow through any
narrow annular clearance, where a sealing component
is located, was ignored. This assumption was experi-
mentally supported by ensuring that no internal leak-
age occurred when operating the unit.
Boundary conditions
The procedure used to determine the variable values
at the boundaries has been based on solving the gov-
erning equations through a convergent nozzle.
According to the discretization shown in Figure 3,
the internal cavities of the valve manifold located
immediately after the pipe ends were taken as small
control volumes inside which the physical properties
of the fluid could be determined under certain
assumptions. Contrary to what occurs when consider-
ing the boundary conditions near a high-volume res-
ervoir the speed of the fluid cannot be disregarded,
and therefore the stagnation pressure will be influ-
enced by the kinetic energy of the fluid at each specific
control volume. The different cases that must be taken
into account are as follows.
Figure 3. Computational grid along the axial direction of a non-tapered pipe for the HLL first-order scheme. [AQ9]
Trujillo et al. 5

Citations
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Dissertation
27 Nov 2015
TL;DR: In this paper, a dynamic model for a high-pressure air blowing machine, employed in the production of plastic bottles, was developed, which consisted of a valve manifold, two tanks, one that simulated the mold cavity where the plastic preform is commonly blown and the other, was intended to recycle air.
Abstract: The energy efficiency assessment of high-pressure pneumatic circuits is the aim of this dissertation. From a historical perspective the past and cur- rent activities with regards to the energy saving conservation in pneumatic technology were examined, and it could be concluded that high pressure pneumatic circuits have been repeatedly used for years in several industrial applications but to date no studies on that specific field are known. After a systematic review of studies concerning energy saving in pneumatic applications, a complete dynamic model for a high-pressure air blowing machine, employed in the production of plastic bottles, was developed. A synthetic version of the real pneumatic system was considered and consisted of a valve manifold, two tanks, one that simulated the mould cavity where the plastic preform is commonly blown and the other, was intended to recycle air. The one-dimensional models were derived for the pneumatic valve, pipes and vessels. The dynamic modelling of the valve took into account the flow non-linearities through the various geometrical restrictions as well as the pressure and temperature evolution at the inner chambers. Because of the existence of flow discontinuities in the pipes, different solving methods were applied, taking as starting point the Method of Characteristics and continued delving into finite volume methods such as Riemann-solver-based schemes. On the experimental phase a single blowing station unit was designed and built up. The pressure and temperature characteristics at different positions of the pneumatic circuit were measured in detail. In addition, the fluid flow through the valve manifold could be characterised by the sonic conductance and critical pressure ratio, which were determined by the isothermal discharge method. Effort was also expended to study the behaviour of the pressure waves generated along the tubes. The pressure wave propagation was computationally charted, with the intention of assessing how this parameter affected the recycling process. The examination of the experimental results proved the efficiency of the re- cycling process and demonstrated to be in close agreement with the mathematical model. The parameters governing the maximum amount of air to be recycled at each working cycle were identified, and the influence of the pipe geometry was discussed. Finally the author provides recommendations for future research and makes suggestions regarding the valve design to enhance the efficiency of the system.

24 citations

01 Jan 2009
TL;DR: In this paper, a code for computational simulation of internal combustion engines is presented, where one-dimensional gas dynamics equations are used for model the flow through pipes and manifolds, and the remaining components in the engine (cylinders, valves, etc.) are modeled by using thermodynamic or 0D models.
Abstract: A code for computational simulation of internal combustion engines is presented. One-dimensional gas dynamics equations are used for model the flow through pipes and manifolds, and the remaining components in the engine (cylinders, valves, etc.) are modeled by using thermodynamic or 0D models. The numerical code developed is able to simulate spark-ignition and compressionignition, two-stroke and four-stroke, multicylinder and multi-valve engines, naturally aspirated or turbo-charged, and different geometries of the combustion chamber. The code was implemented in the scripting language Python, which is a dynamic object-oriented programming language that offers strong support for integration with other languages and tools. The numerical methods used in the discretization of the equations and implementation details are presented. Several test cases are included in order to show the performance of the code.

4 citations

Journal ArticleDOI
17 May 2023-Energies
TL;DR: In this paper , a review examines compressed air receiver tanks (CARTs) for the improved energy efficiency of various pneumatic systems such as compressed air systems (CAS), compressed air energy storage systems (CAESs), PPSs, PDSs, pNEVs, and compressed air vehicles (CAVs).
Abstract: This review examines compressed air receiver tanks (CARTs) for the improved energy efficiency of various pneumatic systems such as compressed air systems (CAS), compressed air energy storage systems (CAESs), pneumatic propulsion systems (PPSs), pneumatic drive systems (PDSs), pneumatic servo drives (PSDs), pneumatic brake systems (PBSs), and compressed air vehicles (CAVs). The basic formulas and energy efficiency indicators used in a CART calculation and selection are included. New scientific research by the authors on measurements based on tank methods, numerical solutions in the process of charging and discharging, the valve-to-tank-to-valve system and pneumatic propulsion system was presented. The numerical model of the valve-tank-valve system takes into account CART polytropic charging and discharging processes, the mass flow balance equation, and the sound (choked) and subsonic mass flow rate in the inlet and outlet valves. Future research directions to improve the energy efficiency of a CART charging and discharge are highlighted. The effective density of energy storage in CART was compared to that of other renewable energy sources and other fuels. Economic and environmental issues were also considered by adopting various energy performance indicators. The discussion also focused on the design concept and computational model of the hybrid tricycle bike (HTB) pneumatic propulsion system.

1 citations

Journal ArticleDOI
29 Jun 2023-Sensors
TL;DR: In this paper , a test bench with interchangeable venturi tubes was built to automatically measure the flow parameters of pneumatic valves of a wide range of sizes, and the best fit value of the critical pressure ratio was obtained using the numerical method of least squares minimization.
Abstract: A test bench with interchangeable venturi tubes was built to automatically measure the flow parameters of pneumatic valves of a wide range of sizes. This measuring stand contained components recommended by the ISO 6358 standard, an individually configured flow meter circuit, and HMI measurement and control panels. The flow meter circuit, individually configured with interchangeable venturi tubes, bypass loops, and Setaram thermal microflow meter, was calibrated using Molbloc/Molbox equipment. The tuning curve and theoretical flow rate characteristics of the tested valve were fitted to the flow rate measurement data. The best fit value of the critical pressure ratio was obtained using the numerical method of least squares minimization. The pneumatic valve with measured flow parameters was compared with data from the catalogue on the discharge characteristics of the compressed air tank. A practical solution for high-pressure tank discharge time using two valves connected in series to the hybrid tricycle bike (HTB) pneumatic propulsion system is presented. This article presents a solution to the practical problem of measuring the flow parameters of industrial pneumatic valves with a wide range of nominal diameters on a test bench with replaceable venturi tubes.
References
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Book
01 Jan 2009
TL;DR: In this article, the authors present references and index Reference Record created on 2004-09-07, modified on 2016-08-08 and a reference record created on 2003-09 -07.
Abstract: Note: Includes references and index Reference Record created on 2004-09-07, modified on 2016-08-08

5,777 citations

Book
23 Mar 2001
TL;DR: In this article, the Shallow Water Equations are expressed as linearised shallow water equations, and the Riemann solver is used to solve the problem of Dam-Break Modelling.
Abstract: Preface. Introduction. The Shallow Water Equations. Properties of the Equations. Linearised Shallow Water. Exact Riemann Solver: Wet Bed. Exact Riemann Solver: Dry Bed. Tests with Exact Solution. Basics on Numerical Methods. First-Order Methods. Approximate Riemann Solvers. TVD Methods. Sources and Multi-Dimensions. Dam-Break Modelling. Mach Reflection of Bores. Concluding Remarks. References. Index.

1,166 citations

Journal ArticleDOI
TL;DR: It is clear that multi-scale effects can dominate performance of friction contacts, and as a result more research is needed into computational tools and approaches capable of resolving the diverse length scales present in many practical problems.
Abstract: Friction is a very complicated phenomenon arising at the contact of surfaces. Experiments indicate a functional dependence upon a large variety of parameters, including sliding speed, acceleration, critical sliding distance, temperature, normal load, humidity, surface preparation, and, of course, material combination. In many engineering applications, the success of models in predicting experimental results remains strongly sensitive to the friction model. Furthermore, a broad cross section of engineering and science disciplines have developed interesting ways of representing friction, with models originating from the fundamental mechanics areas, the system dynamics and controls fields, as well as many others. A fundamental unresolved question in system simulation remains: what is the most appropriate way to include friction in an analytical or numerical model, and what are the implications of friction model choice? This review article draws upon the vast body of literature from many diverse engineering fields and critically examines the use of various friction models under different circumstances. Special focus is given to specific topics: lumped-parameter system models !usually of low order"—use of various types of parameter dependence of friction; continuum system models—continuous interface models and their discretization; self-excited system response—steady-sliding stability, stick/slip, and friction model requirements; and forced system response—stick/slip, partial slip, and friction model requirements. The conclusion from this broad survey is that the system model and friction model are fundamentally coupled, and they cannot be chosen independently. Furthermore, the usefulness of friction model and the success of the system dynamic model rely strongly on each other. Across disciplines, it is clear that multi-scale effects can dominate performance of friction contacts, and as a result more research is needed into computational tools and approaches capable of resolving the diverse length scales present in many practical problems. There are 196 references cited in this review-article. #DOI: 10.1115/1.1501080$

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Book
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TL;DR: The analysis and design of pneumatic systems as discussed by the authors, the analysis and the design of Pneumatic Systems, and the analysis of PNEV systems, are discussed in detail.
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232 citations


"Air recovery assessment on high-pre..." refers background in this paper

  • ...In 1981 Air Products and Chemicals Inc.1 published a patent related to a process for the production of blow moulded articles in which the blowing gas was recovered and treated to be used in subsequent moulding operations....

    [...]

  • ...In 1981 Air Products and Chemicals Inc.(1) published a patent related to a process for the production of blow moulded articles in which the blowing gas was recovered and treated to be used in subsequent moulding operations....

    [...]

Frequently Asked Questions (10)
Q1. What are the contributions mentioned in the paper "Air recovery assessment on high-pressure pneumatic systems" ?

A computational simulation and experimental work of the fluid flow through the pneumatic circuit used in a stretch blow moulding machine is presented in this paper. 

ÞThe mass flow through the spool valve openings can be either subsonic or sonic depending on the pressure ratio between inlet and outlet pressure. 

The procedure used to determine the variable values at the boundaries has been based on solving the governing equations through a convergent nozzle. 

The pressure history during the air-blowing experiments exhibited a clear dependence on the heat transfer through the vessel and pipe walls. 

During the low-pressure blowing stage the pressure in the cavity chamber should not overtake the assigned low-pressure level, however, the response time of V2 is not fast enough to prevent this type of functioning. 

The experimental results (refer to Figure 5) demonstrate that up to a minimum pressureof 12 bar could be ensured at the end of the recycling phase, which is equivalent to 10 kW. 

It must be noticed that the air recovery ratio could feed the air blowing line during the low-pressure stage after the first operating cycle. 

This last point can only be accomplished after a certain number of operating cycles, in other words, one recovery cycle will not be enough to reach a certain pressure level and therefore the pneumatic system will become less efficient. 

At this point the air flows through the pipe connecting the cavity chamber and the manifold, and circulates through the valve manifold until it reaches the recycling chamber. 

Due to this fact, a pressure peak within the cavity vessel may be generated during the low-pressure blowing stage, which can be explained by the lack of a regulating device acting between the two vessels, so the internal geometry of the valve manifold as well as the existing pneumatic connections will constrain the efficiency of the system.