Research on vertical vibration of hot rolling mill under screwdownstrip combined excitation
Biao Xiao^{1} , Xiaoqiang Yan^{2}
^{1, 2}School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China
^{2}Corresponding author
Journal of Vibroengineering, Vol. 21, Issue 8, 2019, p. 20502063.
https://doi.org/10.21595/jve.2019.20933
Received 3 August 2019; received in revised form 7 November 2019; accepted 18 November 2019; published 31 December 2019
JVE Conferences
In this paper, we find the violent vibration of the hot rolling mill is induced by the combination of the screwdown system and the strip, explain how the srewdownstrip combined excitation effects the rolling mill, and introduce an effective method to restrain the vibration. First, two experiments, stripless rolling and turning off the screwdown system, are conducted, the first experiment simulates the rolling process without strip and the second experiment simulates the rolling process without the screwdown system, the results indicate that the rolling mill vibration is induced by the srewdownstrip combined excitation. Then, to explain this phenomenon, the mathematical model of the rolling mill under screwdownstrip combined excitation is proposed, we find that few excitation frequency components can induce more response frequency components, therefore it’s more possible to approach the natural frequency of the rolling mill. Finally, a vibration suppression method is introduced by eliminating some specified frequency components of the screwdown system with a filter, and the result shows that the vibration decreased by 98.7 %.
Keywords: hot rolling mill, mill vibration, combined excitation, natural frequency.
1. Introduction
It is well known that mill vibration has become a bottleneck in thin steel strip manufacturing and a global problem [1]. Rolling mill vibration can cause unacceptable thickness variation and can severely damage mill equipment. Due to its complexity, the mechanism of rolling mill vibration is unclear and remains an open problem worldwide. Generally, rolling mill vibration research aims to analyze dynamic characteristics and obtain vibration suppression method based on mathematical modeling and datadriven methods. The sources of rolling mill vibration mainly include three factors: drive system, screwdown system and the strip.
As for the drive system, Zhang et al. [2] found the combination of the harmonics of electromagnetic torque and the rolling force induced the hot strip rolling mill vibration. Shi et al. [3] analyzed the influences on amplitude frequency characteristics of superharmonic resonance, subharmonic resonance, and combination resonance under the variation of torque disturbance. Lin et al. [4] found the torsional vibration of the drive system effected the vibration characteristic of the work rolls. Yan et al. [5] conducted ANSYS finite element harmonic response analysis module to study the drive system, and found that the torsional vibration and axial vibration produced the phenomenon of coupled vibration under certain conditions. Shi et al. [6] established a dynamic model of multidegreeoffreedom main drive system, by analyzing the model, found that the torque disturbance was one of the main factors resulted the vibration.
As for the screwdown system, Liu et al. [7] established a rolling mill model under nonlinear constraint of the hydraulic screwdown cylinder, and studied the behavior characteristic of the rolls under the action of segment elastic force and friction force. Wang et al [8] found the hydraulic servo position system of the rolling mill drive side and operate side was inconsistent, which could result in position asynchrony of both sides, and proposed an active disturbance rejection synchronous control to improve antijamming capability. Jin et al. [9] studied the relationship between the dynamic stiffness of the displacement feedback mechanism of the rolling mill screwdown system and the vertical vibration of the mill, and analyzed the system vibration characteristics and step response property with dynamic stiffness parameter variation.
As for the strip and other factors at the roll gap, Gao et al [10] considered the equivalent elasticplastic stiffness, established a dynamic model of structureprocess coupling model of the rolling mill, and obtained the instability condition of the system and the velocity threshold of selfexcited vibration. Liu et al. [11] considered the influence of roll vibration on the rolling force, established a nonlinear seven degrees of freedom vibration model of a fourroll cold mill and obtained the amplitudefrequency characteristic. Sun et al. [12] considered the roughness of the rolling interface, established the nonlinear dynamic model of the rolling mill system to obtain the nonlinear stiffness and natural frequency characteristics of the rolling system with variable rough surface topography.
All the above researches have made great contributions to rolling mill vibration. However, few of them considered the effect of the combination excitation, and no relevant literature studied the combination excitation of the screwdown system and the strip. In fact, the effects of the screwdown system and the strip on the rolling mill are interrelated, which is proved by field test and experiments in Section 2 of this paper. In Section 3, we propose a vibration dynamic model of the cold strip rolling mill under screwdownstrip system, and obtain the response frequency characteristics. In Section 4, a vibration suppression method is introduced and good effect is obtained.
2. Field test and experiment
2.1. Vibration testing of hot strip mill
When a 1720 hot strip mill rolled 2.0 mm thick strip, serious vibration occurred on F1 stand. The main rolling process parameters of F1 are shown in Table 1.
In order to obtain the vibration phenomena, the vertical vibration of the upper backup roll bearing seat of F1 stand was measured by using an electromagnetic vibration speed sensor. The parameters of the sensor are shown in Table 2.
And the parameters of the data collector are shown in Table 3. Set the sampling frequency to 1024 Hz.
The test instrument and the test site are shown in Fig. 1.
Table 1. Rolling process parameters of F1 stand
Parameters

Value

F1 speed (m/s)

0.38

Rolling force (kN)

20755

Bending force (kN)

858.3

Table 2. Parameters of the sensor
Technical specifications

Value

Frequency response range

1 Hz500 Hz

Sensitivity

28.2 mV/(mm/s)

Table 3. Parameters of the data collector
Technical specifications

Value

Bandwidth

1 Hz10 kHz

Maximum analysis frequency

100 kHz

Rotation rate range

0.01400,00 rpm/min

In Fig. 1, the vibration speed sensor at the bearing seat of the upper backup roll transmits the signal to the collector. The vibration signal of the bearing seat of the backup roll when rolling 2.0 mm thick strip is shown in Fig. 2.
Fig. 1. Test site and test instruments
The time domain spectrum in Fig. 2 shows that the amplitude of the vibration RMS (Root Mean Square) approaches to 10 mm/s; there is a dominant frequency of 62 Hz in the frequency domain spectrum; and the spectrogram shows that the dominant frequency of 62 Hz is invariable.
After the field test, we conclude that when the 1720 hot strip mill rolls 2.0 mm thick strip, F1 stand vibrate violently with the frequency of 62 Hz, and the amplitude of the vibration RMS is large.
Fig. 2. Vibration spectra of the backup roll bearing seat of F1 stand
2.2. Exploration on vibration source of hot strip mill
The strip thickness deviation and the hydraulic fluctuation of the srewdown system frequently induce rolling mill vibration, which are a significant object for scholars to study. The chatter marks on the strip result the thickness deviation with different frequencies at varied rolling speeds. Fig. 3 shows the chatter marks at the entry of F1 stand.
Fig. 3. Stripes on the surface of the steel strip
Fig. 4. Spectra of strip thickness deviation and hydraulic pressure
a) Spectra of the strip thickness deviation of F1 entrance
b) Spectra of the oil pressure of screwdown system of F1
In Fig. 3, we can see remarkable chatter marks on the steel strip with the width of 37.5 mm.
Fig. 4(a) shows the timedomain ,frequencydomain spectra and the spectrogram of the thickness deviation of the sample in Fig. 3 at the entrance velocity of 0.38 m/s; Fig. 4(b) shows the time domain ,frequency domain spectra and the spectrogram of the oil pressure at the outlet of the servo valve.
Fig. 4(a) indicates that the thickness deviation spectrum includes a dominant frequency of 10 Hz and other frequencies; Fig. 4(b) indicates that the oil pressure spectrum includes many frequencies in the range of 10 Hz to 50 Hz. To explore the effects of the strip and the screwdown system in vibration, following experiments are introduced.
2.2.1. Stripless rolling
The experiment of stripless rolling was introduced to simulate the rolling without strip, the parameters of Table 1, except the roll gap, was applied in the experiment. The vibration spectra of the backup roll are shown in Fig. 5.
Fig. 5 shows that the frequency is dispersed with minor amplitude, and no violent vibration occurs, so we conclude that the vibration of rolling mill is related to the strip.
Fig. 5. Stripless rolling vibration spectrum of the upper support roll of F1 stand
2.2.2. Turn off the AGC screwdown system
To explore the effect of the screwdown system in vibration, turning off the screwdown system was introduced. The parameters of Table 1 was applied in the experiment. Fig. 6(a) shows the vibration spectra when the screwdown system is turned off.
From Fig. 6(a), we can see that the vibration amplitude decreases rapidly in two seconds after turning off the screwdown system, and the spectrogram shows that the dominant frequency of 62 Hz remains unchanged during vibration attenuation stage. Then vibration remains weak and without dominant frequency as shown in Fig. 6(b). The results show that screwdown system has a great influence on the vibration of the rolling mill.
From the results of Fig. 5 and Fig. 6, we know that the vibration of F1 stand quickly decreases by removing the strip or turning off the screwdown system. While violent vibration occurs when two factors coexist. In conclusion, the violent vibration of the F1 stand in field test (Fig. 2) is induced by the interaction of the strip and the screwdown system.
3. The natural characteristic of the rolling mill
In order to obtain the natural characteristics of the rolling mill, the model of F1 stand of the hot strip mill is modeled and the modal is obtained by ANSYS, which are shown in Table 4.
Fig. 6. Vibration spectrum of upper backup roll bearing seat of F1
a) Vibration spectra of F1 when AGC screwdown system is turned off
b) Frequency domain spectrogram of F1 after turning off the AGC screwdown system
Table 4. The modal of rolling mill
Order

1

2

3

4

5

Modal (Hz)

15.455

22.494

50.428

61.955

72.031

Its typical fourthorder natural modal is shown in Fig. 7.
From Fig. 7 we can see that the upper half of the rack and the rolls vibrate more violently and the modal frequency is 61.955 Hz which is similar to the result of the field test in Fig. 2.
Furthermore, longterm monitoring found that the vibration frequency of rolling mill changed with the variation of the speed, and the vibration amplitude suddenly reached its maximum when the dominant frequency was 62 Hz. Therefore, combining the results of Fig. 7, we conclude that the dominant frequency of 62 Hz in field test is the natural frequency of the rolling mill.
4. Vibration characteristics of hot rolling mill excited by hydraulic pressure and strip
4.1. Mathematical model under combined excitation
In view of the weak nonlinearity of the AGC cylinder [13] of the screwdown system, the mathematical model of the rolling mill is considered as Duffing equation with a small parameter, $\epsilon $. When an excitation includes two frequency components effects on a nonlinear system, the response with more frequencies generates [14]. The response of the rolling mill with nonlinear characteristics under combined excitation is introduced to interpret the reason of the resonance of in field test. The function sketch of the rolling mill is shown in Fig. 8.
Fig. 7. Fourthorder natural mode of rolling mill
Fig. 8. Drawing of rolling mill under combined excitation of hydraulic reduction and strip steel
From Fig. 8 we can see that the rolls and the AGC cylinder is acted by the strip thickness difference excitation and the hydraulic excitation. Where$\mathrm{}{m}_{1}$ and ${x}_{1}$ are the equivalent mass and the displacement of the rolls, respectively; ${m}_{2}$ and ${x}_{2}$ are the equivalent mass and the displacement of the AGC cylinder, respectively; ${k}_{1}$ is the contact stiffness between rolls and AGC cylinder; ${k}_{2}$ is the primary stiffness and $\epsilon $ is a small parameter; ${F}_{m}$ is the rolling force deviation induced by the hydraulic fluctuation, ${F}_{m}={F}_{1}\mathrm{c}\mathrm{o}\mathrm{s}\left({\omega}_{1}t\right)\text{,}$ where ${F}_{1}$ is the corresponding amplitude;${F}_{N}$ is the rolling force deviation induced by thickness deviation, ${F}_{n}={F}_{2}\mathrm{c}\mathrm{o}\mathrm{s}\left({\omega}_{2}t\right)$, where ${F}_{2}$ is the corresponding amplitude. The dynamic equation of the mill is shown as follow:
where ${\omega}_{ij}^{2}={k}_{i}/{m}_{j}$, ($i$, $j=$1, 2);${B}_{1}={F}_{1}/{m}_{1}$; ${B}_{2}={F}_{2}/{m}_{2}$. Turns the second equation of Eq. (1) to:
and we have:
Substituted Eq. (2) and Eq. (3) (i.e. ${x}_{1}$ and ${\ddot{x}}_{1}$) to the first equation of Eq. (1), we have:
where:
The perturbation method [15] is introduced to weak nonlinear equations. Define ${x}_{i0}\left(t\right)$ as the periodic solution of the derived system, the solution of the original system is considered as a correction term on the derived solution. Therefore, the power series of the original system solution is obtained:
where, the subscript $i=$ 1, 2. Substituting Eq. (10) to Eq. (4), and expanding the right side of Eq. (4), $\epsilon f\left(x\dot{x}\ddot{x}\right)$, into a power series of $x$, $\dot{x}$ and $\ddot{x}$:
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}=\epsilon \left[f\left({x}_{20}{\dot{x}}_{20}{\ddot{x}}_{20}\right)+\frac{\partial f\left({x}_{20}{\dot{x}}_{20}{\ddot{x}}_{20}\right)}{\partial {x}_{2}}\left(\epsilon {x}_{21}+{\epsilon}^{2}{x}_{22}+\cdots \right)\right.$
$\left.+\frac{\partial f\left({x}_{20}{\dot{x}}_{20}{\ddot{x}}_{20}\right)}{\partial {\dot{x}}_{2}}\left(\epsilon {\dot{x}}_{21}+{\epsilon}^{2}{\dot{x}}_{22}+\cdots \right)+\frac{\partial f\left({x}_{20}{\dot{x}}_{20}{\ddot{x}}_{20}\right)}{\partial {\ddot{x}}_{2}}\left(\epsilon {\ddot{x}}_{21}+{\epsilon}^{2}{\ddot{x}}_{22}+\cdots \right)+\cdots \right]$
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+{\stackrel{}{B}}_{1}\mathrm{cos}\left({\omega}_{1}t\right)+{\stackrel{}{B}}_{2}\mathrm{cos}\left({\omega}_{2}t\right).$
If Eq. (11) holds for any condition, the coefficients of the same power of parameter $\epsilon $ on both sides must be equal. Thus, a set of linear differential equations with approximate solutions of each order is derived. The equations of the first three orders (${x}_{20}$, ${x}_{21}$ and ${x}_{22}$) are shown as follow:
The derived system solution,${x}_{20}$, is obtained by solving Eq. (12), and substitute it to Eq. (13) and Eq. (14) to obtain ${x}_{21}$ and ${x}_{22}$, then substitute them to Eq.(10) to obtain the original system solution. The solution of Eq. (12) is shown as follow:
where ${C}_{1}$ and ${C}_{2}$ are constants. Substitute Eq. (15)(17) to Eq. (13), and combined with Eq. (9), we have:
$+{\alpha}_{4}\mathrm{cos}\left({\omega}_{1}t2{\omega}_{2}t\right)+{\alpha}_{5}\mathrm{cos}\left(2{\omega}_{1}t+{\omega}_{2}t\right)+{\alpha}_{6}\mathrm{cos}\left(2{\omega}_{1}t{\omega}_{2}t\right)$
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+{\alpha}_{7}\mathrm{cos}\left(3{\omega}_{1}t\right)+{\alpha}_{8}\mathrm{cos}\left(3{\omega}_{2}t\right).$
The superscript of ${x}_{21}^{\left(4\right)}$ denotes the fourth derivative and ${\alpha}_{i}$ is the coefficient of each cosine component. The solution of Eq. (18) is shown as follow:
$+{D}_{5}\mathrm{cos}\left(2{\omega}_{1}t+{\omega}_{2}t\right)+{D}_{6}\mathrm{cos}\left(2{\omega}_{1}t{\omega}_{2}t\right)+{D}_{7}\mathrm{cos}\left(3{\omega}_{1}t\right)+{D}_{8}\mathrm{cos}\left(3{\omega}_{2}t\right),$
where ${D}_{1}$${D}_{8}$ is the coefficient of each cosine component. Eq. (15) and Eq. (19) are substituted to Eq. (10) to obtain ${x}_{2}$:
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+\epsilon {D}_{4}\mathrm{cos}\left({\omega}_{1}t2{\omega}_{2}t\right)+\epsilon {D}_{5}\mathrm{cos}\left(2{\omega}_{1}t+{\omega}_{2}t\right)+\epsilon {D}_{6}\mathrm{cos}\left(2{\omega}_{1}t{\omega}_{2}t\right)$
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+\epsilon {D}_{7}\mathrm{cos}\left(3{\omega}_{1}t\right)+\epsilon {D}_{8}\mathrm{cos}\left(3{\omega}_{2}t\right).$
Substitute Eq. (20) to the first equation of Eq. (1), we have:
The solution of Eq. (21) is shown as follow:
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+{A}_{4}\mathrm{cos}\left({\omega}_{1}t2{\omega}_{2}t\right)+{A}_{5}\mathrm{cos}\left(2{\omega}_{1}t+{\omega}_{2}t\right)+{A}_{6}\mathrm{cos}\left(2{\omega}_{1}t{\omega}_{2}t\right)$
$\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}\mathrm{}+{A}_{7}\mathrm{cos}\left(3{\omega}_{1}t\right)+{A}_{8}\mathrm{cos}\left(3{\omega}_{2}t\right),$
$\mathrm{w}$here ${A}_{1}$${A}_{8}$ is the coefficient of each cosine component.
Eq. (20) and Eq. (22) show that, under the combined excitation with frequencies of ${\omega}_{1}$, ${\omega}_{2}$, the solution of the dynamic equations contain eight frequencies (i.e.${\omega}_{2}\mathrm{},{\omega}_{2},{\omega}_{1}+2{\omega}_{2},{\omega}_{1}2{\omega}_{2},2{\omega}_{1}+{\omega}_{2},2{\omega}_{1}{\omega}_{2},3{\omega}_{2}$). Thus, even if the system is only affected by two excitation frequencies, the response frequencies are very rich. Some response frequencies approach to the natural frequency of the mill can induce resonance. From Fig. 4 and Fig. 5, we can see that the screwdownstrip combination excitation frequencies are more than two, thus the response frequencies are more than that with two excitation frequencies, and it is more possible to induce vibration.
4.2. Frequency domain simulation of vertical system of rolling mill under combined excitation
The above theoretical analysis shows that the rolling mill generates multiple response frequencies under combined excitation of two frequencies. Simulink is introduced to obtain the response frequencies with three and four excitation frequencies. The responses ${x}_{20}$ and ${x}_{21}$ in Eqs. (12) and (13) are obtained with the state space module. Then substitute them to Eq. (20) to obtain ${x}_{2}$ (the displacement of the AGC cylinder). Eq. (12) is transformed into a state equation, and the state variables are shown as follow:
The matrix and vector are denoted with bold front. The derivative of Eq. (23) is shown as follow:
The output equation, ${\mathbf{x}}_{20}$, is defined as:
And the excitation, $u$, is expressed as:
The matrix form of the state equation is denoted as:
where:
Eq. (13) is also converted to state equation with the same method. The simulation parameters are shown in Table 5.
Table 5. Value of simulation parameters
Name

Code

Value

Unit

Note

Equivalent mass of upper rolls

${m}_{1}$

0.93×10^{5}

kg


Equivalent mass of AGC cylinder

${m}_{2}$

0.12×10^{5}

kg


Contact stiffness between roll system and AGC cylinder

${k}_{1}$

1.12× 10^{8}

N/m


The primary term of the nonlinear stiffness

${k}_{2}$

8.66×10^{6}

N/m


Amplitude of exciting force of strip

${F}_{1}$

0.62×10^{6}

N


Amplitude of exciting force under hydraulic pressure

${F}_{2}$

0.78×10^{6}

N


Parameter 1

${a}_{1}$

12.91×10^{5}

N(mkg)^{1}

Defined in Eq. (5)

Parameter 2

${a}_{2}$

24.44×10^{10}

N^{2}(mkg)^{2}

Defined in Eq. (6)

Parameter 3

${\stackrel{}{B}}_{1}$

6.97×10^{6}

N^{3}m^{2}kg^{3}

Defined in Eq. (7)

Parameter 4

${\stackrel{}{B}}_{2}$

4.59×10^{5}

N^{3}m^{2}kg^{3}

Defined in Eq. (8)

Nonlinear parameters

$\epsilon $

0.02

The parameters selected in the statespace module in Simulink are A, B, C and D in Eq. (27), respectively. After substituting the parameters in Table 2. the simulation model of the rolling mill under combined excitation based on the perturbation method can be obtained, as shown in Fig. 9.
Fig. 9 shows the simulation model with three sinusoidal combined excitations. The vibration response of the model is shown in Fig. 10.
Fig. 10 shows that when the number of combined excitations is three, the number of frequencies in the response spectrum is more than that under two excitations. Similarly, when the number of combined excitations is four, the response spectrum is shown in Fig. 11.
Fig. 11 shows that when the number of combined excitations is four, the number of frequencies in the response spectrum is more than that under two and three excitations.
Combining the results in Fig. 10 and Fig. 11, we know that with the increase of the combined excitation frequencies, the response frequencies of the rolling mill also increase, which makes it more possible to generate the response frequencies approach to the natural frequency and induce the resonance.
Fig. 9. Simulation model of vibration characteristics of vertical system of rolling mill under combined excitation
Fig. 10. Frequency spectrum of rolling mill vibration response under three excitation combinations
a) Three excitations spectrum
b) Response spectrum under three excitations
Fig. 11. Frequency spectrum of rolling mill vibration response under four excitation combinations
a) Four excitations spectrogram
b) Response spectrum under Four excitations
5. Vibration suppression of rolling mill
According to the conclusion of the previous chapters, the idea of vibration suppression is introduced by reducing the number of output frequencies of the system. There are far more than two excitation frequencies in the rolling mill under actual working conditions. Generally, the roll gap position regulator receives multiple reference signals and feedback signals. Therefore, a filter is added to the AGC system control loop to filter the input current signal of the servo valve to reduce the frequencies of the oil pressure at the outlet of the servo valve, and a monitoring system is installed at the bearing seat of the upper backup roll. By gradually adjusting the filtering range and observing the vibration signal in the monitoring system until the vibration signal of the upper roll system is not approach to the natural frequency (62 Hz) of the mill, the optimum filtering range is obtained. The effects before and after filtering are shown in Fig. 12, where a)d) are the spectra without filtering, followed by the thickness deviation on strip surface, the input current of servo valve, the oil pressure of servo valve outlet and vibration of bearing seat of backup roll on F1; while e)h) is the corresponding spectra after filtering. The arrow in the spectrum f is the filtering frequency range, which is 20 Hz30 Hz and 57 Hz67 Hz, respectively. We can see that the number of frequencies of oil pressure at the outlet of servo valve decreases after filtering. When the combined frequencies of the screw down system and the strip steel acts on the system, no response frequency approach to the natural frequency of the rolling mill (62 Hz), so the mill does not vibrate violently. Fig. 13 shows the time dominant spectrum of d and h in Fig. 12.
Fig. 12. Vibration comparison of rolling mill before and after filtering
From Fig. 13 we can see that due to the absence of the dominant frequency of 62 Hz after filtering, the vibration RMS (Root Mean Square) decreased by 98.7 %, which indicated the proposed method achieves effective vibration suppression effect.
Fig. 13. Vibration RMS of rolling mill before and after filtering
6. Conclusions
1) Field test shows that F1 stand of 1720 hot strip mill vibrates violently when rolling 2.0 mm thick strip. Two experiments, stripless rolling and turning off AGC cylinder, are introduced to obtain the relation among strip, screwdown system and the vibration. The result of stripless rolling shows that the vibration amplitude is weak, therefore we conclude that the vibration of rolling mill is related to the strip. And the result of turning off AGC cylinder shows that the screwdown system has a great influence on the vibration of the rolling mill. The results of the experiments indicate that the vibration of F1 stand can quickly decreases by removing the strip or turning off the screwdown system. In conclusion, the violent vibration in field test (Fig. 2) is induced by the interaction of the strip and the screwdown system.
2) Considering the nonlinear of AGC cylinder of rolling mill, the dynamic model of the upper rolls and the AGC cylinder under the combined excitation of screwdown system and strip is established. The dynamic model is solved by perturbation method, and the solution shows that under the combined excitation with frequencies of ${\omega}_{1}$ and ${\omega}_{2}$, the solution of the dynamic equations contain eight frequencies (i.e. ${\omega}_{2}\mathrm{},{\omega}_{2},{\omega}_{1}+2{\omega}_{2},{\omega}_{1}2{\omega}_{2},2{\omega}_{1}+{\omega}_{2},2{\omega}_{1}{\omega}_{2},3{\omega}_{2}$). Simulink is introduced to obtain the response frequencies when the number of the excitation frequencies is three and four, and the result shows that more combined excitation frequencies will generate more response frequencies, and it is more possible to have the frequency approach to the natural frequency of the rolling mill and induce the resonance.
3) A filter is introduced in the AGC control loop to filter the input current signal of the servo valve to reduce the frequencies of the oil pressure at the outlet of the servo valve, and a monitoring system is installed at the bearing seat of the upper backup roll to verify the effect of filtering, and we find that when the filtering frequency ranges are set to 20 Hz30 Hz and 57 Hz67 Hz, the vibration of F1 stand is weak with no dominant frequency. Due to the absence of the dominant frequency of 62 Hz after filtering, the vibration RMS (Root Mean Square) decreased by 98.7 %.
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