Experiments and simulations of ultrasonically assisted turning tool.
Rimkeviciene, J. ; Ostasevicius, V. ; Jurenas, V. 等
1. Introduction
The main point in mechanical machining eventually is an increasing
of productivity and decreasing of costs at the same time. One of the
methods is ultrasonic cutting. This is conventional cutting with applied
ultrasonic frequency vibrations to the cutting tool edge.
The cutting tool has the cutting direction and the thrust direction
in elliptical vibration mode, so the tool has a velocity component in
the chip flow direction in every cutting cycle after it penetrates into
the workpiece. The friction force between the tool rake and the chip is
effectively reduced by reversing the frictional direction, and the
reversed friction force assists the chip to flow out which is much
better than using the cutting oil [1].
Ultrasonic assisted tool has no continuous contact with the work
piece-that is a reason why average cutting force is lower than at
conventional cutting [2]. Friction in the contact is lower, the tool and
the work piece have lower thermal influence. Using this method and
special inserts [3, 4] good result in mechanical machining of hardened
steels can be reached.
Previous research was applied to evaluate the efficiency of
ultrasonic cutting tool-comparing it to conventional turning [5]. Next
task was to define what kinds of vibrations are the most influent to
surface quality of the work piece [6].
In the present work analysis of model adequacy was made-frequency
response characteristics were measured and numerically estimated.
The Langevin type transducer [7] consists of piezoceramic elements,
the backing (metal cylinder) and the front matching metal horn-cutting
tool. The cutting tool and backing were made from grade 45 steel
(Young's modulus 210 GPa, density 7850 kg/m3, poisson's ratio
0.33), as piezoelectric elements two piezoceramic PZT5 rings
(Young's modulus 66 GPa, density 7500 kg/m3, poisson's ratio
0.371) [8] and standard insert CCGT09T304-AlKS05F (Tungaloy)
(Young's modulus 360 GPa, density 3900 kg/m3, poisson's ratio
0.22) were used.
[FIGURE 1 OMITTED]
The tool in the holder is fixed with two bolts (see Fig. 1). The
backing 2, piezoceramic rings 3 and cutting tool (horn) 4 are connected
with bolt 1. Standard insert 6 is fixed in cutting tool.
2. Experimental setup
Experimental setup for measurement of frequency response
characteristics is shown in Fig. 2. The tool is fixed in two areas and
vibrations are generated with signal generator 3 through power amplifer
2. Amplitudes on the edge of insert were measured in tree directions
(P-radial direction to work piece surface, S-tangential direction to
work piece surface and F-vibrations in feed direction) with laser
vibrometer 4. In the vibrometer controller 5 through analog-digital
converter 6 the measurement signals were converted and send to the
computer 7. For reading of the signal PicoScope software was used.
The EPA-104 is a high voltage ([+ or -] 200 Vp), high current ([+
or -] 200 mA), and high frequency (DC to 250 KHz) amplifier designed to
drive higher capacitive (low impedance) loads, such as low voltage
stacks, at moderate frequencies; or lower capacitive loads, such as
ultrasonic devices, at high frequencies.
Output frequency of the signal generator ESCORT EGC-3235A is from
0.01 Hz to 5 MHz, in 8 Ranges. Amplitude offset is [+ or -] 10 V.
[FIGURE 2 OMITTED]
The OFV-5000 controller is designed to accept a choice of signal
processing modules, each optimized for different frequency acceleration,
velocity or displacement performance.
Vibrations were measured with a laser vibrometer (Polytec Fiber
Interferometer OFV 512).
The ADC provides a solution for measuring and recording voltage
signals onto PC.
PicoScope is a program, which enables us to use the Pico Technology
range of analog to digital converters (ADC) to provide the function of a
storage oscilloscope, a spectrum analyser and a digital meter.
In combination with the PicoScope software, the PicoScope-3424 as
ADC PC Oscilloscope constitutes a fast, 4-channel memory oscilloscope, a
multimeter and a FFT spectrum analyser.
Frequency response curves are shown in Fig. 4, together with
numerically estimated curves.
3. Numerical model
Numerical model of experimental cutting tool using finite element
software (ANSYS) was made. Material properties of grade 45 steel (horn,
connecting bolt and backing), piezoceramic PZT5 (piezoceramic rings) and
hardened grade 85W1 steel (insert) were taken.
In linear piezoelectricity the equations of elasticity are coupled
to the charge equation of electrostatics by means of piezoelectric
constants (IEEE Standard on Piezoelectricity)
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (1)
where {T} is stress vector, {D} is electric flux density vector,
{S} is strain vector, {E} is electric field intensity vector,
[[c.sup.E]] is elasticity matrix (evaluated at constant electric field),
[e] is piezoelectric stress matrix, [[epsilon.sup.S]] is dielectric
matrix (evaluated at constant mechanical strain).
The elasticity matrix [[c.sup.E]] is the usual [D] matrix. It can
also be input directly in uninverted form [[c.sup.E]] or in inverted
form [[c.sup.E-1] as a general anisotropic symmetric matrix
[MATHEMATICAL EXPRESSION NOR REPRODUCIBLE IN ASCII.] (2)
The piezoelectric stress matrix [e] relates the electric field
vector {E} in the order X, Y, Z to the stress vector {T} in the order X,
Y, Z, XY, YZ, XZ and is of the form
[MATHEMATICAL EXPRESSION NOR REPRODUCIBLE IN ASCII.] (3)
The piezoelectric matrix can also be input as a piezoelectric
strain matrix [d]. ANSYS automatically converts the piezoelectric strain
matrix [d] to a piezoelectric stress matrix [e] using the elasticity
matrix [[c.sup.E]] at the first defined temperature
[e]=[[c.sup.E][d] (4)
The dielectric permittivity matrix at constant stress
[[epsilon.sup.T] is of the form
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (5)
The anisotropic dielectric matrix at constant stress
[[[epsilon].sup.T] is of the form
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (6)
The dielectric permittivity matrix can also be input as a
orthotropic dielectric matrix [eS]. It uses the electrical permittivity.
The program automatically converts the dielectric matrix at constant
stress to a dielectric matrix at constant strain
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (7)
Numerical scheme is shown in Fig. 3. Fixing areas are modeled as
constraint in all directions.
Equation of motion in matrix form
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (8)
where [M.sub.uu] is mass matrix, [K.sub.uu] is mechanical stiffness
matrix, [K.sub.u][phi]] is piezoelectric coupling matrix,
[K.sub.[phi][phi] is dielectric stiffness matrix, [[F.sub.S] is
mechanical surface forces-equal to zero, [[Q.sub.S] is electrical
surface forces.
[FIGURE 3 OMITTED]
The system was excited using 100 V voltage and different excitation
frequencies.
4. Frequency response
Frequency response curves estimated by experimental measuring
(solid) and numerically (dash) are shown in Fig. 4. The curves were
estimated in three directions S, F and P (Fig. 2).
In direction S the cutting force is biggest one [9], so ultrasonic
vibrations in this direction are the most influential.
In Fig. 4 we can see, that superposition of experimentally measured
and numerically estimated curves is not satisfactory. The reason of this
may be incorrect fixing modeling of the turning tool. That's why
the model was updated by modeling elasto-plastic fixing.
Constraint was modeled as the Jenkins element [10], which is an
ideal elasto-plastic unit. The sliders are nonlinear elements that
implement the Coulomb friction model with a predetermined normal force
and coefficient of friction resulting in a break-free force [f.sub.i].
For a finite number of spring-slider units-n, the force displacement
relationship is given by:
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII.] (9)
where [x.sub.i] is the current displacement of slider i, [k.sub.i]
is stiffness of slider i.
In fixing area springs in each node (Fig. 5) were modeled. Total
stiffness value was chosen equal to Young's modulus of grade 45
steel, with a purpose to model the contact correctly.
Modal analysis of the cutting tool was performed. During the
analysis of frequency response characteristics it was found out, that
dominant peaks correspond the respective modes. Dominant peaks are in
directions S and P at approximately 17 kHz excitation frequency. Here we
have the 11th mode with the frequency 17.82 kHz. In Fig. 7 shape of the
tool in 11th mode is shown. Here we can see that motion is around one
area. Cutting edge of the tool is moving around certain area.
[FIGURE 4 OMITTED]
[FIGURE 5 OMITTED]
[FIGURE 6 OMITTED]
Other peaks are at excitation frequency approximately 22 kHz (Fig.
6). According to modal analysis the 12th mode is at excitation frequency
22.39 kHz. The shape of this mode is shown in Fig. 8. Here the cutting
tool is vibrating in longitudinal direction.
[FIGURE 7 OMITTED]
After this analysis the conclusion can be made, that: for exiting
longitudinal vibrations and vibrations in cutting direction is
purposeful to excite 11th and 12th modes of the cutting tool.
[FIGURE 8 OMITTED]
5. Conclusions
1. Frequency response characteristics of experimental measurement
and numerically estimated are superposed, when boundary conditions of
the tool is modeled as elasto-plastic.
2. Numerical model is adequate and can be used in further research
of turning tool dynamics.
Received December 02, 2008
Accepted February 12, 2009
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J. Rimkeviciene *, V. Ostasevicius **, V. Jurenas ***, R. Gaidys
****
* Kaunas University of Technology, A. Mickeviciaus 37, 44244
Kaunas, Lithuania, E-mail:
[email protected]
** Kaunas University of Technology, Studentu_65, 51367Kaunas,
Lithuania, E-mail:
[email protected]
*** Kaunas University of Technology, Kqstucio 27, 44312 Kaunas,
Lithuania, E-mail:
[email protected]
**** Kaunas University of Technology, Studentu_50, 51368 Kaunas,
Lithuania, E-mail:
[email protected]