super magnet brake system
TRANSCRIPT
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IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014 8600404
Analytical and Experimental Modeling and Simulation of a
Magnetic Braking System for Pipeline Oil ApplicationsRicardo F. Pinheiro Filho, Andrs O. Salazar, Francisco E. C. Souza, and Paulo L. B. da Silva
Federal University of Rio Grande do Norte, Natal 59072-970, Brazil
This paper presents a study on the braking effect of the electromagnetic forces produced by eddy currents induced in nonmagneticmaterials. The purpose of this paper analyzes the behavior of a moving device within ducts when a constant magnetic field is appliedon its inner surface, causing induction of eddy currents in pipeline walls, and verifies how the interaction effects of these currentswith the field that induced them might be significant on the device movement.
Index Terms Analytical models, eddy currents, electromagnetic devices, pipelines.
I. INTRODUCTION
THE eddy currents induction effect is a problem in electro-magnetic devices. But, the brake effect associated to thiscurrents interaction with magnetic fields through Lorentz force
opens a larger range of applications [1], [2]. Magnetic brakes
are widely used in drive systems powered by electric machines,
bullet trains, and automotive systems. Currently, eddy currents
has been also applied in many systems, metal detectors, andmost varied sensors, as in the case of verifying the integrity
of oil and gas pipelines.
The velocity of the pipeline instrumented gadgets (PIGs)
should to be maintained between 1 and 5 m/s. However,
this movement is only provided by the fluid pressure behind
the device and its velocity control is hampered by obstacles
formed by material deposition along the line. This leads to
interruptions in PIG travel and a later shot caused by pressure
increase when the device is stopped by an obstacle. This shot
becomes a problem for monitoring the integrity of the pipes
because of the speed increment, above acceptable limits for
proper operation of the sensors instruments.
This paper deals with an analysis of a brake system to be
embedded in PIGs with purposes to get control of its velocity
through the pipes.
The braking effect and control of the velocity of a small
vehicle that moves over a nonmagnetic surface will be stud-
ied by development of analytical models, simulations pro-
vided by engineering support software using finite element
method (FEM), and experimental prototype testing. The pro-
posed PIG braking system, formed by an arrangement of
electromagnets is illustrated in Fig. 1, the mechanical structure
of the experimental prototype is shown in Fig. 3, and the
analytical modeling will be performed from its parameters,
which are specified in Table I and illustrated in Fig. 2.
I I . SYSTEMD ESCRIPTION
The system developed for this paper is a small-scale vehicle
that runs over a steel flat bar used as rail, having an embedded
Manuscript received March 5, 2014; accepted May 26, 2014. Date of currentversion November 18, 2014. Corresponding author: R. F. P. Filho (e-mail:[email protected]).
Color versions of one or more of the figures in this paper are availableonline at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TMAG.2014.2328520
Fig. 1. Mechanical structure arrangement proposed to the PIG brake system.
electromagnet with E-shaped core. The vehicle that runs overthe rail and simulation model are implemented to emulate the
interaction of one of the electromagnetic units with the inner
surface of the pipeline in which the proposed system will
shift.
The steel rail is a flat bar with low reluctance that will
be used as a guide shift for the vehicle, carrying the elec-
tromagnet, which will interact with a nonmagnetic (and low
resistivity) copper plate positioned between electromagnet
poles and the guide plate, as shown in Figs. 2 and 3. This steel
flat bar will attract the field generated by the electromagnet,
thereby reducing the system reluctance and leading a greater
amount of flux lines through the conducting plate, increasing
the flux intensity therethrough and the field skin depth, and
reducing the skin effect which minimizes the induced currents.
Thus, the system and its skin effect nonlinear phenomenon can
be approximated by a simpler model.
III. MODELING ANDS IMULATION A NALYSIS
Figs. 3 and 4 show the full system arrangement, which
is driven by gravity load on the braking train (P). The magneticflux moving over the metallic surface induces eddy currents,
0018-9464 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
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8600404 IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014
TABLE I
SYMBOLOGY: D IMENSIONS, M AGNITUDES,AN D M ATERIALP ROPERTIES
Fig. 2. Magnetic flux of prototype core through metal surfaces and the
induced eddy currents.
as it is illustrated in Fig. 2. These currents interacting with the
moving flux produce the Lorentz force, given by (1) [3], [4],
which opposes to the system movement, reducing it, and
allowing get control of the lowering speed by the field intensity
of the electromagnet, controlled by the magnitude of the
injected current in coil. The magnetic flux density B, for the
proposed case, is given by
Find=J B (1)
Fig. 3. Experimental prototype mechanical structure.
Fig. 4. Representation of the forces that act on the experimental prototype.
|Find| = B Iind sin BIB= r0
gapncoilIDC (2)
where r, typically unitary on copper, receives an empirical
correction factor (r 1.175), which emulates the effectof high permeability of the steel rail that increases the flux
through the conducting plate.The induced density current (Jind)behavior is obtained from
(3) [1], [5], which describes the current decrease caused by
skin depth reduction in the field with frequency increase.
The current magnitude is obtained by solving (4), whose
integration variables refer to the Cartesian axes of Fig. 2. The
current attenuation by the field frequency increase is inserted
in the model by (5) that defines skin depth (1)as a functionwith respect of the velocity [6]
Jind(y,z, t)= Jm ey cost2
z y
(3)
Iind
= s
0
0.4s
0.4sJind(y,z, t)
dzdy (4)
=
fr0
S=
vr0
S= v (5)
where is the length of the electromagnet, as illustrated
in Fig. 2. It is equivalent to the wavelength seen by the
conducting plate due to the field movement over it.
The first steady-state model obtained for the braking force
produced by electromagnet neglects the skin depth effect. This
model, in vector form, is given by (6), and its graphical
representation is shown in Fig. 5. Where p is the number
of electromagnet pairs of poles and the other parameters are
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FILHO et al.: ANALYTI CAL AND E XP ER IM ENTAL M ODEL ING AND SI MULAT ION OF A M AGNE TIC BRAKING S YS TE M 8 60 04 04
Fig. 5. Behavior of braking force in function of the speed variations and theapplied current in the coil.
obtained from Fig. 2 and Table I
Find
= 2p
s
s0 ls
lgap
ngapIDC2
V. (6)
The braking force due to eddy currents rises with increasing
velocity, whereas it is reduced due to the skin effect. In order
to better describe this behavior, we must improve the accuracy
of the model. Thus, the geometric system model was built on
a computational platform and simulated using FEM. Fig. 6,
given as simulation result, presents how the induced current
density is distributed in the copper when a relative displace-
ment speed (v = 2 m/s) between the conducting plate and theelectromagnet (supplied by 5 A dc current) is applied. Fig. 6(a)
shows how the steel plate modifies the induced current density
distribution on the nearest copper surface, whose magnitude
increases up to 17.7% compared with the case where the
conductive surface is not above the rail [Fig. 6(b)]. This
difference reaches up to 39.4% in the middle of the copper
plate thickness.
Analysis of braking force got by simulations, with variations
of the coil current magnitude and the conductive plate shifting
speed over the poles, is performed by comparing them with
a more complete theoretical model, given by (7), got for
t= 0 (steady-state), by replacing (2) and (4) in (1)Find= kgeo (ncoilIDC)2
v e
vsin
v+ /4 (7)
where
kgeo= krp S
gap2
S
S03
= S
0
4SS.
The constantkr= 1.458kd(in kgeo)replaces all constantspresent in entire equationing process and joins the effect of
leakage flux in air gap (kf in:kd= kf sin BI) as an empiricalconstant that also represents the Lorentz force decrease due to
the angle (BI) between B and Iind, presented in (1), which
cannot be measured.
The comparison between the developed models and
results obtained by simulation is shown in Figs. 7 and 8.
Fig. 6. Current densities in copper surface (a) with the steel plate presenceand (b) without it, obtained by FEM simulations.
Fig. 7. Effect of velocity variation on the braking force for three differentmagnitudes of injected current Idc.
Significant differences between the curves are due to the model
inaccuracy related to the leakage flux. It is not a properly mod-
eled phenomenon, and may be minimized by reducing the gap.Fig. 7 shows both developed models and compares them
with the results of braking force obtained by simulation when
three different current values are applied to the electromagnet
coil. For velocities where the skin effect becomes evident, the
system behaves according to the developed improved model.
This does not occur at velocities below 1 m/s. With low
influence of this phenomenon, the system has a behavior more
close to the model presented in (6), as shown in linear curves
in Fig. 7.
This same behavior is shown in Fig. 8, in which the
braking force is a function with respect to Idc, got for three
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8600404 IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014
Fig. 8. Effect of injected current variation on the braking force for differentvelocities.
Fig. 9. Theoretical and experimental dynamic behavior of the proposedsystem.
different constant velocities. At the lowest one (0.5 m/s), the
curve obtained by simulation moves away from the behavior
described by the model (7) that considers the skin effect and
approaches of model (6) behavior.
IV. SYSTEMDYNAMICA NALYSIS
The system dynamic model is reached by isolating the
variable v(t) in (6), converted into scalar form. Thus, thedynamic model is given by (8), which represents its behavior
curves according to parameters in (9), where the obtained
value to kdwas 0.782.
Curves of the synthesized model are confronted with exper-
imental results from tests with the prototype of Fig. 3, which
runs over a steel rail length 2 m. Results are presented in Fig. 9
v(t)= mtgsingKv
1 ekvt (8)
kv= kdp SS 0
S
gapncoilIDC
2
. (9)
The experimental results point to the validity of the qualitative
behavior of the proposed model and as expected, the prototype
keeps constant velocity in steady state [7].
V. CONCLUSION
The dynamic model proved quite representative of the
studied system when compared with the experimental results,
and can be used to design a control to the system.
Although there are inaccuracies caused by the presence
of friction, mild deformities in the rail, interrupting the
acceleration of electromagnet, inaccuracy in measuring the
air gap and not modeled phenomena, such as leakage flux,
the experiments show a good approximation of the proposedmodel to real operation conditions of the braking system by
induced currents.
The approach of the skin effect on induced currents caused
by magnetic field skin depth in metal surfaces provides a better
approximation of the analytical model at higher velocities.
However, the results obtained by simulation and experimental
tests demonstrate that, at low velocities, linear model that
neglects this phenomenon has a better accuracy of the system
behavior observed by different methodologies.
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