Quality control system and device for stamping and forming of corrugated washers

Abstract

The present invention relates to the technical field of metal material stamping, and specifically to a stamping forming quality control system and device for corrugated washers. In the continuous periodic stamping process, the material strip is prone to being in an unstable oscillation state due to error accumulation, which affects the quality of the corrugated washers. To this end, the vibration time series data of each cycle and the shear mark depth data of the semi-finished material strip are first obtained. The vibration time series data is decomposed, the target component signal is screened out to analyze the oscillation characteristics, and the deformation characteristic value of the material strip in each cycle is quantified. Taking into account the mutual influence between adjacent cycles, the frequency and phase differences of the target component signals of adjacent cycles are analyzed to obtain the variable factor of the material strip, which describes the stamping amount that needs additional compensation. Finally, the deformation characteristic value, variable factor and shear mark depth data are integrated to evaluate the oscillation influence of each cycle, and the stamping speed of the subsequent cycle is adjusted accordingly, so as to avoid the material strip being in an unstable state during the stamping process, resulting in uneven shear marks, deformation and other problems.

Description

Technical Field

[0001] The invention relates to the technical field of metal material stamping, and in particular to a stamping forming quality control system and device for a corrugated washer. Background Art

[0002] The wave washer is an elastic element, mainly used to provide axial preload or absorb vibration, compensate for part tolerance and thermal expansion, etc. Its stamping process is a precision manufacturing process that forms a wavy structure on the metal material to make it elastic and cushioning. The production of wave washers generally adopts half-shear stamping, which includes two stamping steps. In the first stamping, the material is not completely sheared after being stamped, but only partially sheared, leaving an incompletely separated connecting part, that is, a semi-finished product. After the second stamping, the finished product will be obtained. This process is between full shearing and unshearing. Compared with one-time stamping, it has better flexibility and low defective rate.

[0003] The prior art usually adopts a fixed stamping speed when producing corrugated washers by a half-shear stamping method. However, since the half-shear stamping requires a higher stamping accuracy, errors are easily accumulated during the continuous stamping process, causing the material strip to be in an unstable oscillating state. At this time, if a fixed stamping speed is still used, stamping will be performed while the material strip is in an oscillating state, resulting in uneven shear marks on the semi-finished material strip after stamping, thereby causing quality problems. Summary of the invention

[0004] In order to solve the problem that the continuous stamping process is prone to error accumulation, which makes the material strip in an unstable oscillating state, if a fixed stamping speed is still used at this time, the material strip will be stamped when it is in an oscillating state, resulting in uneven shear marks of the semi-finished material strip after stamping, thereby causing quality problems, the purpose of the present invention is to provide a stamping quality control system and device for corrugated washers, and the technical solutions adopted are as follows:

[0005] A stamping quality control device for a corrugated washer, the stamping quality control device comprising a half-shear stamping device body, the half-shear stamping device body comprising a feeding mechanism, a blanking stamping mechanism and a scanning mechanism, a vibration sensor is installed on a guide groove of the feeding mechanism, and the feeding mechanism transmits a material strip in a periodic intermittent manner, the scanning mechanism has a built-in laser scanning device and a control unit, the blanking stamping mechanism comprises at least a blanking punch and a forming punch, the blanking punch is used for a first stamping, and the forming punch is used for a second stamping; the vibration sensor is used to obtain vibration time series data of the guide groove, the laser scanning device is used to obtain depth data of shear marks of a semi-finished material strip; the control unit is used to control the stamping speed of the first stamping according to the vibration time series data and the depth data; wherein the control process comprises:

[0006] Obtain the vibration time series data of the guide groove in each cycle and the depth data of the shear marks of the semi-finished material strip;

[0007] Decomposing the vibration time series data, and screening the target component signal according to the periodicity characteristics and frequency characteristics of the data in the component signal;

[0008] Analyze the correlation between the frequency distribution and phase distribution of the target component signals, as well as the periodic characteristics of the target component signals and the fluctuation of the data values, and determine the deformation characteristic value of the strip in each period;

[0009] Compare the difference between the frequency and phase of the target component signal of each cycle and the adjacent cycle in time sequence, so as to obtain the variation factor of the material strip in each cycle;

[0010] The deformation characteristic value of the material strip in each cycle, the variable factor and the confusion degree of the depth data of the shear mark of the semi-finished material strip are integrated, and the original stamping speed of the blanking punch in the next cycle in time sequence is adjusted to obtain the adjusted stamping speed; based on the original stamping speed and the adjusted stamping speed, the first stamping is performed on the material strip in the next cycle to obtain the shear mark of the semi-finished material strip.

[0011] Furthermore, the method for acquiring the target component signal includes:

[0012] Performing ITD decomposition on the vibration time series data in each period to obtain all component signals, and all component signals are sorted according to the decomposition level;

[0013] Obtain the autocorrelation function value of each component signal and perform normalization processing to obtain a periodic characteristic value;

[0014] Performing Fourier transform on each component signal to obtain frequency domain data, in which the mean of the frequencies with amplitudes is calculated and normalized as frequency eigenvalues;

[0015] The difference between the periodic characteristic value and the frequency characteristic value of each component signal is used as the periodicity index of each component signal;

[0016] Among all the component signals of the vibration time series data, the component signal corresponding to the maximum periodicity index is used as a cutoff signal, and the cutoff signal and the previous component signal are used together as a target component signal.

[0017] Furthermore, the method for obtaining the deformation characteristic value includes:

[0018] The phase spectrum of each target component signal is obtained based on Fourier transform;

[0019] In the phase spectrum, the mean of all phase values ​​is taken as the average phase value of each target component signal;

[0020] Arrange all target component signals of the vibration time series data in each cycle in ascending order of average phase values ​​to obtain a sorted sequence;

[0021] Arrange all target component signals according to the decomposition levels to obtain a decomposition level sequence;

[0022] Calculating the Spearman rank correlation coefficient between the decomposition level sequence and the sorting sequence and performing normalization processing as the first stabilizing factor;

[0023] Analyze the periodic characteristics of the target component signal and the fluctuation of the data value to obtain a second stability factor;

[0024] The product of the first stability factor and the second stability factor is negatively correlated and normalized to obtain a value which is used as the deformation characteristic value of the material strip in each cycle.

[0025] Furthermore, the method for obtaining the second stability factor includes:

[0026] The variance of all data values ​​in the first target component signal in the decomposition level sequence is used as the high-frequency signal fluctuation factor;

[0027] The normalized value of the autocorrelation function of the penultimate target component signal in the decomposition level is used as the periodic factor of the low-frequency signal;

[0028] The second stability factor is obtained according to the high-frequency signal fluctuation factor and the low-frequency signal periodic factor, and the high-frequency signal fluctuation factor is negatively correlated with the second stability factor, and the low-frequency signal periodic factor is positively correlated with the second stability factor.

[0029] Furthermore, the method for obtaining the variable factor includes:

[0030] For each cycle, the previous cycle adjacent in time sequence is used as the comparison cycle;

[0031] The difference between the frequency characteristic value of the cutoff signal of the comparison period and each period is used as the first judgment value;

[0032] The difference between the comparison period and the average phase value of the cutoff signal of each period is used as the second judgment value;

[0033] The difference between the average phase value mean of all target component signals except the cutoff signal in each cycle and the average phase value mean of all target component signals except the cutoff signal in the comparison cycle is used as the third judgment value;

[0034] For any cycle, when the values ​​of the first judgment value, the second judgment value and the third judgment value corresponding to the cycle meet the preset conditions, the normalized value of the difference between the second judgment value and the third judgment value is used as the variable factor of the material strip in the cycle;

[0035] If the first judgment value, the second judgment value and the third judgment value corresponding to the period do not meet the preset conditions, the variable factor of the material strip in the period is the preset value.

[0036] Furthermore, the preset condition is set as:

[0037] The first judgment value is a positive value, the second judgment value is a positive value, and the third judgment value is a positive value.

[0038] Furthermore, the method for adjusting the stamping speed includes:

[0039] In each cycle, the variance of the depth data at each position in the shear mark of the semi-finished material strip is taken as the confusion factor;

[0040] The product of the disorder factor and the deformation eigenvalue is taken as an oscillation factor;

[0041] The sum of the oscillation factor and the variable factor of the material strip is normalized to obtain a value as the oscillation coefficient;

[0042] The product of the value after negative correlation mapping of the oscillation coefficient and the original punching speed is used as the adjusted punching speed.

[0043] Furthermore, the first punching of the material strip in the next cycle based on the original punching speed and the adjusted punching speed to obtain the shear marks of the semi-finished material strip includes:

[0044] In the next cycle, when the first stamping is performed, the stamping is performed using the adjusted stamping speed until the stamping reaches half of the preset thickness, and then the stamping speed is restored to the original stamping speed and the stamping is continued until the preset thickness is reached, and the stamping is stopped to obtain the shear marks of the semi-finished material strip.

[0045] Furthermore, a damping device is also built into the scanning mechanism:

[0046] The damping device is composed of a roller and a lifting connecting rod, the connecting rod is lifted and lowered reciprocatingly, and the lifting and lowering frequency is the same as the periodic intermittent frequency of the feeding structure;

[0047] When there is a periodic pause, the connecting rod drops, the roller contacts the material belt, and the roller moves at a low speed in the direction opposite to the conveying direction of the material belt, which is used to eliminate the inertial speed of the material belt itself during the periodic pause.

[0048] A stamping quality control system for corrugated washers comprises a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and when the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor, the steps of a stamping quality control device for corrugated washers are implemented.

[0049] The present invention has the following beneficial effects:

[0050] Error accumulation is prone to occur during continuous periodic stamping, causing the material strip to be in an unstable oscillation state. This oscillation state can be characterized by vibration time series data, and the quality problems of the semi-finished material strip can also be reflected by the depth data of the cut marks of the semi-finished material strip. Therefore, the vibration time series data in each cycle and the depth data of the cut marks of the semi-finished material strip are first obtained. When the periodicity is large enough and the frequency is low enough, it is considered to be the vibration component closest to the periodic stamping. Therefore, the vibration time series data is decomposed, the periodic characteristics and frequency characteristics in the component signal are analyzed, and the target component signal is screened out for subsequent analysis of the relevant characteristics of the oscillation component. The vibration signals generated by different oscillation types have different frequency distribution and other characteristics, so the degree of influence on the quality of the corrugated gasket will also be different. Therefore, the frequency distribution, phase distribution, periodicity and other characteristics between the target component signals are analyzed, and the deformation characteristic values ​​of the material strip in each cycle are quantified to reflect the impact of the oscillation. Furthermore, there will be influences between the phased stamping cycles. The oscillation of the previous cycle will cause the position between the material strip and the base to shift in the next cycle, thereby affecting the quality of the corrugated gasket produced in the next cycle. Therefore, the present invention analyzes the difference between the frequency and phase of the target component signals of adjacent cycles to obtain the variable factor of the material strip in each cycle, which is used to describe the additional amount of stamping required to compensate for the previous oscillation and the current stamping cycle. Finally, the deformation characteristic value, variable factor, and depth data of the shear marks of the semi-finished material strip in each cycle are integrated to evaluate the impact of the oscillation in each cycle, and then the stamping speed in the next cycle is adjusted to avoid the material strip being in an unstable oscillation state during stamping, resulting in uneven shear marks and deformation after stamping. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1An overall structural diagram of a stamping quality control device provided by an embodiment of the present invention;

[0053] Figure 2 An internal structural diagram of a scanning structure provided by an embodiment of the present invention;

[0054] Figure 3 A flow chart of a stamping quality control process of a corrugated washer provided in one embodiment of the present invention;

[0055] Figure 4 A flow chart of a method for obtaining deformation characteristic values ​​provided by an embodiment of the present invention;

[0056] Figure 5 A finished product diagram of a corrugated gasket provided by one embodiment of the present invention;

[0057] Figure 6 A schematic diagram of the system structure of a stamping quality control system for a corrugated gasket provided by an embodiment of the present invention;

[0058] Figure numerals: 1- blanking punch; 2- material strip; 3- roller feeder; 4- base; 5- scanning box; 6- semi-finished product; 7- blanking table; 8- guide groove; 9- material strip after blanking; 10- lower die stator; 11- forming punch; 51- laser scanning device; 52- control unit; 53- damping device. DETAILED DESCRIPTION

[0059] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the stamping quality control system and device of a wave washer proposed in accordance with the present invention, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0060] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0061] The specific scheme of a stamping quality control system and device for a corrugated washer provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0062] See also Figure 1, which shows the overall structure of a stamping quality control device provided by an embodiment of the present invention, including a half-shear stamping device body, wherein the half-shear stamping device body includes a feeding mechanism, a blanking stamping mechanism and a scanning mechanism. The feeding mechanism includes a roller feeder 3, a guide groove 8, and a base 4. The blanking stamping mechanism includes a blanking punch 1, a forming punch 11, a blanking table 7, and a lower mold stator 10, and the scanning mechanism includes a scanning box 5; the scanning box 5 of the scanning mechanism has a built-in scanning device and a control unit (not shown in the figure), and a vibration sensor (not shown in the figure) is installed on the guide groove 8 of the feeding mechanism.

[0063] During the half-shear stamping process, the material strip 2 is clamped by one or more pairs of roller feeders 3 in the feeding mechanism, and the material strip 2 is embedded in the guide groove 8, and the roller feeder 3 is used to convey the material strip 2 in a preset direction; the blanking punch 1 is a convex punch, the inner ring blade directly punches out the inner circle, and the outer ring blade controls the punching depth. Assuming the material strip thickness is 5mm, the outer ring punching depth is set to about 4mm.

[0064] During the continuous stamping process, the material strip 2 usually does not stop completely, but is conveyed in a periodic intermittent manner. During the periodic pause, the material strip 2 is conveyed to the bottom of the blanking punch 1, and the blanking punch 1 performs the first stamping on the material strip 2, punching out a circular ring-shaped thin sheet (semi-finished product 6) on the material strip 2. At this time, the semi-finished product 6 has not been separated from the material strip 2, but leaves a circle of shear marks (outer ring); at the same time, the forming punch 11 performs the second stamping on the semi-finished product 6 on the material strip 2, and the forming punch 11 and the lower die stator 10 are completely closed, punching the semi-finished product 6 into a corrugated gasket with a wavy edge, so that it is completely separated from the material strip 2, and the material strip 9 after the material is discharged remains; during the conveying process of the material strip 2, it will pass through the scanning box 5 of the scanning mechanism, and its built-in laser scanning equipment can be used to scan the semi-finished product 6 to obtain the depth data of the shear marks of the semi-finished product of the material strip.

[0065] It should be noted that the feeding speed of the material belt 2 can be obtained according to the rotation speed of the roller feeder 3; the feeding speed should match the working speed of the stamping equipment to ensure the smooth operation of the production line and avoid material blockage or stamping no-load. The vibration sensor installed on the guide groove 8 can obtain the vibration time series data of the guide groove 8 in each stamping cycle (hereinafter referred to as cycle).

[0066] During the continuous stamping process, although the material belt 2 is conveyed in a periodic and intermittent manner, during the pause, the material belt 2 will inevitably have an inertial tendency to continue moving, which will cause the material belt 2 to slide, resulting in it being unable to fit tightly into the guide groove 8, thereby causing a position offset problem, affecting the quality of subsequent stamping and forming. Therefore, in an embodiment of the present invention, a damping device 53 can be added to the scanning box 5 of the scanning mechanism to improve the aforementioned problem.

[0067] For details, please refer to Figure 2 , which shows the internal structure of a scanning mechanism provided by an embodiment of the present invention, wherein a laser scanning device 51, a control unit 52 and a damping device 53 are arranged inside the scanning box 5. The damping device 53 is composed of a roller and a lifting connecting rod, which is lifted and lowered reciprocatingly, and the lifting and lowering frequency is the same as the periodic intermittent frequency of the feeding structure; when there is a periodic pause, the connecting rod descends, the roller contacts the material belt 2, and the roller moves at a low speed in the opposite direction of the conveying direction of the material belt 2, reducing the speed of the material belt 2 in a short time, which is used to eliminate the inertial speed of the material belt 2 itself during the periodic pause. At this time, the material belt 2 is first decelerated steadily, and then paused, and continues to be conveyed after the stamping is completed, effectively avoiding the deviation problem of the material belt 2 due to the inertial trend during stamping.

[0068] It should be noted that the control unit 52 may be a microprocessor or a microcontroller.

[0069] In actual application, it is found that even if a damping device 53 is provided to increase the stability of the material strip 2 during stamping, errors are easily accumulated due to the continuous stamping of the material strip 2, and the material strip 2 will produce unstable oscillations. At this time, if the blanking punch 1 still stamps the material strip 2 at a fixed stamping speed, the material strip 2 will be stamped when it is in an oscillating state, resulting in uneven shear marks on the semi-finished product after stamping, thereby affecting the forming quality of the corrugated gasket in the subsequent second stamping process. Therefore, in an embodiment of the present invention, in each pause cycle of the stamping, the semi-finished product 6 is scanned by a laser scanning device 51 to obtain the depth data of the shear marks of the semi-finished product 6 in each cycle, which is used to reflect the depth and deformation information of the shear marks; the vibration sensor on the guide groove 8 obtains the vibration time series data of the guide groove in each cycle, which is used to reflect the oscillation information during the stamping process, and then the control unit 52 is used to process the depth data and the vibration time series data, so as to control the stamping speed of the blanking punch 1 in the first stamping process.

[0070] See also Figure 3 , which shows a flow chart of a stamping quality control process of a corrugated washer in one embodiment of the present invention, comprising the following steps:

[0071] Step S1: Obtaining the vibration time series data of the guide groove in each cycle and the depth data of the shear mark of the semi-finished material strip.

[0072] The vibration timing data of the guide groove 8 in each cycle is obtained to reflect the oscillation information of the material strip 2 in each cycle, and in each cycle, the depth data of the shear mark of the semi-finished product 6 is obtained by using the laser scanning device 51 to reflect the depth information and deformation information of the shear mark.

[0073] It should be noted that, in this embodiment of the present invention, one cycle refers to a stamping cycle. In each stamping cycle, the guide groove 8 will move along the preset direction. When the guide groove 8 stops, the blanking punch 1 and the forming punch 11 will punch the material strip 2. After the stamping is completed, the blanking punch 1 and the forming punch 11 are away from the material strip 2, and the guide groove 8 continues to move along the preset direction; in each cycle, the laser scanning device 51 obtains the depth data of the shear mark of the semi-finished product 6, and the vibration sensor obtains the vibration time series data, wherein the sampling interval of the vibration time series data is set to 0.1s. The specific interval can be adjusted according to the implementation scenario and is not limited here.

[0074] Step S2: Decompose the vibration time series data, and select the target component signal according to the periodicity and frequency characteristics of the data in the component signal.

[0075] When the shear marks left by the blanking punch 1 are uneven, the semi-finished product 6 may have quality deviations during the second stamping process, which are specifically manifested in burrs, warping, uneven thickness, adhesion on one side, and other problems on the edge of the corrugated washer, resulting in uneven stamping stress, or the semi-finished product 6 cannot be aligned with the forming punch 11 and directly deviates from the punch position, resulting in deformed finished products. After testing and analysis, it was found that there are two main factors for the uneven shear marks on the semi-finished product 6:

[0076] (1) Due to the reduced coordination between the various mechanisms, the material strip may be pulled for a very small distance by the unrelieved residual stress when it is stopped by other mechanisms. At this time, the first stamping will result in uneven shear marks.

[0077] (2) After being pulled by uneven traction, a long strip of material may also be slightly warped, resulting in a part of the strip being suspended in the air when the blanking punch performs the first punching, and not fitting tightly with the guide groove, resulting in uncertain oscillation during the first punching.

[0078] In order to solve the impact of the oscillation phenomenon, the vibration time series data can be analyzed. Obviously, the periodic signal component is generated by the continuous periodic stamping of the material strip 2. The accompanying signal of this periodic signal reflects the slight changes in the placement state of the material strip 2 on the guide groove 8, including the inertial shaking during the transmission pause, the feeding speed and the stamping speed, and the coordination problems between other mechanisms, the material strip 2 may be warped at different thicknesses, mechanical fatigue, etc. These factors may cause the material strip 2 to have a short oscillation during stamping, increasing the probability of distortion.

[0079] The vibration time series data can be decomposed and analyzed to screen out component signals that can represent the characteristics of the oscillation components as target component signals for subsequent analysis.

[0080] Preferably, in one embodiment of the present invention, the method for acquiring the target component signal includes:

[0081] ITD decomposition is a processing technology suitable for non-stationary and nonlinear signals, which can effectively decompose the original signal into multiple component signals with different time-frequency characteristics. These component signals can reflect different components in the original signal, including periodic signals, impulse signals and trend signals.

[0082] Therefore, the vibration time series data in each cycle are decomposed by ITD, and the length of the cycle is used as the local time scale to obtain all component signals, and all component signals are sorted according to the decomposition level.

[0083] Assuming that the vibration caused by each cycle of the stamping process is constant, in this embodiment of the present invention, the cutoff condition of the ITD decomposition is reset. The original iterative termination condition of the ITD component decomposition is that the baseline signal is a monotonic or constant function. Here, the iterative termination condition is set to the low-frequency component with the maximum periodicity:

[0084] The autocorrelation function value can reflect the periodicity strength of the component signal, so the autocorrelation function value of each component signal is obtained and normalized as the periodic characteristic value, which is used to characterize the periodic characteristics of the component signal, and the larger the value, the more obvious the periodicity is considered. Normalization is a technical means well known to those skilled in the art, and the selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0085] Then, each component signal is subjected to Fourier transformation to obtain frequency domain data. In the frequency domain data, the mean of the frequencies with amplitudes is calculated and normalized as frequency eigenvalues. The frequency eigenvalues ​​are used to characterize the frequency distribution characteristics of the component signals, and the smaller the value, the lower the frequency of the component signal. Normalization is a technical means well known to those skilled in the art, and the selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0086] The frequency domain distribution characteristics and periodic characteristics of each component signal are combined: the difference between the periodic characteristic value and the frequency characteristic value of each component signal is used as the periodicity index of each component signal. At this time, the larger the periodicity index is, the larger the periodicity of the component signal is and the lower the frequency is, the closer it is to the vibration signal component generated by periodic stamping.

[0087] Finally, among all the component signals of the vibration time series data, the component signal corresponding to the maximum periodic index is taken as the cutoff signal, and the cutoff signal is regarded as the vibration signal generated by periodic stamping. Then all component signals before the cutoff component are regarded as the accompanying signals of the vibration signal generated by stamping. Therefore, the cutoff signal and the previous component signals are taken as the target component signal together. In the subsequent process, the target component signal is analyzed to reflect the influence of the oscillation factors in the stamping process on the quality of the corrugated gasket.

[0088] It should be noted that ITD decomposition, Fourier transform and acquisition of autocorrelation function values ​​are all well-known technologies, and the specific process will not be described here.

[0089] Step S3: Analyze the correlation between the frequency distribution and the phase distribution of the target component signals, as well as the periodic characteristics of the target component signals and the fluctuation of the data values, to determine the deformation characteristic value of the material strip in each period.

[0090] If oscillation occurs during the stamping process, including the punch pressing down quickly causing the material strip 2 to vibrate, and the material strip 2 is hooked when lifted, causing it to deflect or deform, the material strip 2 will vibrate. The stamping position acts as a vibration source and is transmitted to the position of the vibration sensor, which can form different vibration components. When the vibration source is biased towards high frequency or low frequency, it reflects different stamping oscillation types, and the vibration propagation characteristics are also different. Different oscillation types will also have different effects on the deformation of the material strip 2.

[0091] (1) If the high-frequency component occurs first, the low-frequency component is strong (signal regularity) and the high-frequency component is weak (amplitude is stable).

[0092] The reason is that the component signal of high-frequency vibration is not easy to be converted into deformation. When it is the main vibration component of the vibration source, it is easy to maintain stable attenuation in the vibration signal. The low-frequency component signal monitored at the same time may only be the trend component of the high-frequency component, rather than an independent vibration component, and the decomposition result is relatively regular.

[0093] (2) If the low-frequency component occurs first, the high-frequency component is strong (the amplitude is drastic) and the low-frequency component is weak (the signal is irregular);

[0094] The reason is that low-frequency vibration components have greater stress and are more easily converted into deformation. Therefore, when low-frequency vibration components are the main vibration components, irregular losses are likely to appear in the vibration signal. High-frequency signals may be random noise components caused by the loss of low-frequency components.

[0095] Therefore, in this step, the correlation between the frequency distribution and the phase distribution of the target component signals is analyzed, and the periodic characteristics of the component signals and the fluctuation characteristics of the data values ​​are combined to determine the deformation characteristic value of the strip 2 in each period to reflect the impact of the oscillation on it.

[0096] Preferably, a method for obtaining deformation characteristic values ​​in an embodiment of the present invention includes:

[0097] See also Figure 4 , which shows a method flow chart of a method for obtaining deformation feature values ​​in one embodiment of the present invention, the method comprising the following steps:

[0098] Step S301: In each cycle, the correlation between the frequency distribution and the phase distribution of the target component signals is analyzed to obtain a first stability factor.

[0099] The phase spectrum of each target component signal is obtained based on Fourier transform. The phase spectrum can reveal the phase distribution of the target component signal in the frequency domain, which is crucial for understanding the interaction and timing relationship between the target component signals.

[0100] In the phase spectrum of each target component signal, the mean of all phase values ​​is taken as the average phase value of each target component signal; and all target component signals of the vibration time series data in each cycle are arranged in ascending order of the average phase value to obtain a sorted sequence. The sorted sequence can reflect the occurrence order of the target component signals, that is, the earlier the position, the earlier it occurs.

[0101] All target component signals are arranged according to the decomposition level to obtain a decomposition level sequence, which reflects the order in which the target component signals are decomposed, that is, the order from high frequency to low frequency.

[0102] Finally, the Spearman rank correlation coefficient between the decomposition level sequence and the sorting sequence is calculated. The value range of the Spearman rank correlation coefficient is -1 to 1. The closer it is to 1, the closer it is to positive correlation, and the closer it is to -1, the closer it is to negative correlation. Here, it is normalized so that its value is between 0 and 1 to obtain the first stability factor. The first stability factor can quantify the correlation between the frequency distribution and the phase distribution. Therefore, if the first stability factor is larger, it means that the target component signal has a high-frequency component that occurs first and progresses toward the low-frequency direction. Based on the above analysis, it can be seen that it is easy to maintain stable attenuation in the vibration signal, so it is not easy to deform. On the contrary, if the first stability factor is smaller, it means that the target component signal has a low-frequency component that occurs first and progresses toward the high-frequency direction. Since the low-frequency component has a greater stress, it is more likely to deform.

[0103] It should be noted that the normalization method here can be used with the formula , wherein x represents an independent variable; in other embodiments of the present invention, other normalization methods may also be used, and the specific methods are not limited here; the process of obtaining the phase spectrum by Fourier transform and the process of calculating the Spearman rank correlation coefficient are both well-known technologies, and the specific process will not be repeated here.

[0104] Step S302: In each period, the periodic characteristics of the target component signal and the fluctuation of the data value are analyzed to obtain a second stability factor.

[0105] The variance of all data values ​​in the first target component signal (high-frequency component signal) in the decomposition level sequence is taken as the high-frequency signal fluctuation factor. The larger the high-frequency signal fluctuation factor is, the stronger the fluctuation of the high-frequency target component signal is, that is, the worse the stability is.

[0106] The autocorrelation function value of the penultimate target component signal (low-frequency component signal) in the decomposition level is obtained and normalized to obtain the periodic factor of the low-frequency signal. The larger the periodic factor of the low-frequency signal, the more regular the target component signal regarded as low-frequency. Normalization is a technical means well known to those skilled in the art, and the selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0107] Then, according to the high-frequency signal fluctuation factor and the low-frequency signal periodic factor, the second stability factor is obtained. The formula model of the second stability factor includes: in, Indicates the second stability factor of the strip; Represents the periodic factor of low-frequency signal; Represents the high-frequency signal fluctuation factor; Indicates the preset first parameter.

[0108] In the formula model of the second stability factor, based on the above analysis, it can be seen that the larger the high-frequency signal fluctuation factor is, the stronger the fluctuation of the high-frequency target component signal is, that is, the worse the stability is; the larger the low-frequency signal periodicity factor is, the more regular the low-frequency target component signal is, and the better the stability is; therefore, the high-frequency signal fluctuation factor is negatively correlated with stability, and the low-frequency signal periodicity factor is positively correlated with stability, so the high-frequency signal fluctuation factor is placed on the denominator and the low-frequency signal periodicity factor is placed on the numerator, thereby obtaining the second stability factor of the material strip 2. At this time, the larger the second stability factor is, the smaller the fluctuation of the high-frequency component signal in the target component signal is, and the more periodic the low-frequency component signal is, and thus the possibility of oscillation deformation of the material strip 2 is lower; conversely, when the second stability factor is smaller, it means that the fluctuation of the high-frequency component signal in the target component signal is larger, the low-frequency component signal is more irregular, and it is easier to deform.

[0109] It should be noted that the first parameter is preset The function of is to prevent the denominator from being 0, and the value can be 0.001. The specific value can be adjusted according to the implementation scenario and is not limited here.

[0110] Step S303: The first stability factor and the second stability factor are integrated to obtain the deformation characteristic value of the material strip in each cycle.

[0111] Based on the analysis of the above steps, it can be known that when the first stability factor is larger, it means that the target component signal has a high-frequency component that occurs first and progresses toward the low-frequency direction, and it is easy to maintain stable attenuation in the vibration signal, so it is not easy to cause deformation. When the second stability factor is larger, it means that the fluctuation of the high-frequency component signal in the target component signal is smaller, and the low-frequency component signal is more periodic, which also indicates that the possibility of oscillation deformation of the discharge belt 2 is lower; therefore, the product of the first stability factor and the second stability factor is negatively correlated and normalized to achieve logical relationship correction, thereby obtaining the deformation characteristic value of the belt 2 in each cycle. At this time, the larger the deformation characteristic value, the more likely the belt 2 is to be deformed or offset within the cycle.

[0112] It should be noted that the negative correlation mapping and normalization method here can be adopted by formula ,in, It represents an exponential function with the natural constant e as the base, and x represents the independent variable.

[0113] Step S4: Compare the difference between the frequency and the phase of the target component signal in each cycle and the adjacent cycles in time sequence, so as to obtain the variation factor of the material strip in each cycle.

[0114] Considering that the more significant the oscillation component characteristics are within a single cycle, the more likely it is to affect the quality of the corrugated gasket. When an oscillation occurs in the previous cycle and the oscillation induces the deformation of the material strip 2 in the next cycle, the next cycle may not show a higher oscillation component characteristic, but there is still a risk of reduced quality.

[0115] Specifically, the previous cycle may cause the state of the material strip 2 to become unstable. For example, the deformation of the material at the punching depression position will cause the stress to be redistributed in the material, which may cause deformation of the surrounding area, and then cause the subsequent material strip 2 to warp, and the fit between the material strip 2 and the guide groove 8 to become loose.

[0116] When the previous cycle causes the subsequent material strip 2 to warp to a certain extent, the subsequent material strip 2 needs to share part of the pressure to compensate for the deformation during stamping (this process will produce additional low-frequency vibration components). Therefore, among all the target component signals of the vibration timing data in the next cycle, the low-frequency signal represented by the cutoff signal will occur before the cutoff signal of the vibration signal in the previous cycle, and then other target component signals will occur later than the target component signals in the previous stamping cycle.

[0117] Therefore, in this step of the embodiment of the present invention, the difference between the frequencies and the phases of the target component signals in adjacent periods in time are analyzed, and the variable factor of the material strip 2 in each period is calculated. The variable factor is used to reflect the influence between adjacent periods.

[0118] Preferably, in one embodiment of the present invention, the method for obtaining the variable factor includes:

[0119] For any cycle, the previous cycle adjacent in time sequence is used as the comparison cycle.

[0120] The difference between the frequency characteristic value of the comparison period and the cutoff signal of the period is taken as the first judgment value. When the first judgment value is a positive value, it means that the frequency of the cutoff signal in the period is lower than the frequency of the cutoff signal in the comparison period. It can be regarded as that an additional low-frequency vibration component is generated in the period, that is, it is affected by the oscillation of the comparison period.

[0121] The difference between the comparison period and the average phase value of the cutoff signal of the period is used as the second judgment value. When the second judgment value is positive, it means that the low-frequency vibration component (cutoff signal) in the period occurs before the cutoff signal in the comparison period, and the period is considered to be affected by the comparison period; on the contrary, if the second judgment value is negative, it means that the cutoff signal in the period occurs later than the cutoff signal in the comparison period, and the period is considered to be not affected by the comparison period. It should be noted that the smaller the phase, the earlier it occurs.

[0122] The difference between the average phase value of all target component signals except the cutoff signal within the period and the average phase value of all target component signals except the cutoff signal within the comparison period is used as the third judgment value. When the third judgment value is positive, it means that the other target component signals except the cutoff signal within the period occur later than the other target component signals except the cutoff signal within the comparison period, and the period is deemed to be affected by the comparison period.

[0123] Therefore, when the first judgment value, the second judgment value and the third judgment value corresponding to the period meet the preset conditions, that is, the first judgment value is positive, the second judgment value is positive; when the third judgment value is positive, it means that the period is affected by the comparison period.

[0124] When the preset conditions are met, the difference between the second judgment value and the third judgment value is normalized and used as the variable factor of the material strip in the cycle. The second judgment value is equivalent to the advance amount of the low-frequency vibration signal corresponding to the cutoff signal in the cycle, and the third judgment value is equivalent to the delay amount of other target component signals other than the cutoff signal in the cycle. Therefore, the greater the difference between the two, the greater the amount of compensation that needs to be shared by a part of the pressure in the stamping process to compensate for the oscillation effect of the comparison cycle on the cycle, that is, the greater the impact of the comparison cycle on the cycle. Normalization is a technical means well known to those skilled in the art, and the selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0125] If the values ​​of the first judgment value, the second judgment value and the third judgment value corresponding to the cycle do not meet the preset conditions, the variable factor of the material strip in the cycle is the preset value, and the preset value is set to 0 here.

[0126] It should be noted that, for the first cycle, there is no comparison cycle, so the variable factor of the material strip 2 in the first cycle is also set to 0.

[0127] Step S5: Integrate the deformation characteristic value of the material strip in each cycle, the variable factor and the confusion degree of the depth data of the shear mark of the semi-finished material strip, adjust the original punching speed of the blanking punch in the next cycle in time sequence, and obtain the adjusted punching speed; based on the original punching speed and the adjusted punching speed, perform the first punching on the material strip in the next cycle to obtain the shear mark of the semi-finished material strip.

[0128] By integrating the deformation characteristic value of the strip 2 in each cycle, the variable factor of the strip 2, and the confusion degree of the depth data of the shear mark of the semi-finished strip, the state and deformation of the strip 2 in the current stamping cycle can be accurately evaluated. Based on this information, the stamping speed of the blanking punch 1 during the first stamping is adjusted to obtain the adjusted stamping speed, which can more effectively optimize the depth uniformity of the shear mark after the first stamping, thereby improving the quality of the finished product during the subsequent second stamping.

[0129] Preferably, in one embodiment of the present invention, the method for adjusting the stamping speed includes:

[0130] In each cycle, the variance of the depth data at each position of the shear mark of the semi-finished material strip is taken as the confusion factor. The larger the confusion factor is, the worse the uniformity of the shear mark of the material strip in the current cycle is, and the greater the impact of the vibration is. In the subsequent process, the stamping speed should be reduced to provide more time to balance the impact of the vibration on the quality of the material strip 2.

[0131] Based on the analysis in the aforementioned step S3, it can be known that the larger the deformation characteristic value of the material strip 2, the more likely it is that the material strip 2 has deformation or offset problems in the current cycle, so the product of the confusion factor and the deformation characteristic value is used as the oscillation factor. At this time, the larger the oscillation factor, the greater the negative impact of the oscillation generated by the stamping process on the uniformity of the shear mark of the material strip.

[0132] The variable factor of material strip 2 reflects the continuous influence of the adjacent cycle on the current cycle, and the larger the variable factor, the greater the negative influence, so the value after normalization of the sum of the oscillation factor and the variable factor of material strip 2 is used as the oscillation coefficient. At this time, the larger the oscillation coefficient, the more obvious the deformation or offset of material strip 2 caused by the oscillation in the current cycle, so more time should be used to balance the oscillation problem in the subsequent process. Normalization is a technical means well known to those skilled in the art, and the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0133] Therefore, it is necessary to slow down the punching speed. Therefore, the product of the value after the negative correlation mapping of the oscillation coefficient and the original punching speed is used as the adjusted punching speed. At this time, the larger the oscillation coefficient, the smaller the adjusted punching speed, and the more effective the oscillation problem can be balanced. The negative correlation mapping here can be used with the formula , where x represents the independent variable.

[0134] It should be noted that the original stamping speed needs to be set according to the material of the strip 2, the size and shape of the finished product, etc. in actual conditions. The specific value is not limited here and is subject to the actual conditions.

[0135] After the adjusted stamping speed is obtained, two stamping stages can be set in the first stamping process, respectively at the original stamping speed and the adjusted stamping speed, so as to perform subsequent stamping processing on the material strip 2 to obtain the shear marks of the semi-finished material strip.

[0136] Preferably, in one embodiment of the present invention, the first punching of the strip in the next cycle is performed based on the original punching speed and the adjusted punching speed to obtain the shear marks of the semi-finished strip, including:

[0137] In the next cycle, when the first stamping is performed, the stamping speed is adjusted first, and stamping is performed until the stamping reaches half of the preset thickness. The stamping speed is then restored to the original stamping speed and the stamping is continued until the preset thickness is reached, and the stamping is stopped to obtain the shear marks of the semi-finished material strip.

[0138] It should be noted that the preset thickness is set here as the thickness of the material strip 2 itself, and the specific thickness needs to be determined according to the implementation scenario and is not limited here.

[0139] The material strip 2 is continuously conveyed, and when it reaches below the forming punch 11, the forming punch 11 performs a second punching on the semi-finished product 6 on the material strip 2. The forming punch 11 and the lower die stator 10 are completely closed, and the semi-finished product 6 is punched into a corrugated washer with a wavy edge, so that it is completely separated from the material strip 2, and a corrugated washer is obtained. Figure 5 , which shows a finished picture of the wave washer.

[0140] It should be noted that in the embodiment of the present invention, since the stamping speed during the first stamping is changed, the duration of the stamping cycle should be appropriately increased to ensure that the material strip 2 will not be conveyed until the stamping is completed. The specific duration of the cycle can be set according to the implementation scenario and is not limited here.

[0141] In summary, the accumulation of errors is prone to occur during the continuous periodic stamping process, which makes the material strip in an unstable oscillation state. This oscillation state can be characterized by the vibration time series data, and the quality problems of the semi-finished material strip can also be reflected by the depth data of the cut marks of the semi-finished material strip. Therefore, the vibration time series data in each cycle and the depth data of the cut marks of the semi-finished material strip are first obtained. When the periodicity is large enough and the frequency is low enough, it is considered to be the vibration component closest to the periodic stamping. Therefore, the vibration time series data is decomposed, the periodic characteristics and frequency characteristics in the component signal are analyzed, and the target component signal is screened out for subsequent analysis of the relevant characteristics of the oscillation component. The vibration signals generated by different oscillation types have different frequency distribution and other characteristics, so the degree of influence on the quality of the corrugated gasket will also be different. Therefore, the frequency distribution, phase distribution, periodicity and other characteristics between the target component signals are analyzed, and the deformation characteristic values ​​of the material strip in each cycle are quantified to reflect the impact of the oscillation. Furthermore, there will be influences between the phased stamping cycles. The oscillation of the previous cycle will cause the position between the material strip and the base to shift in the next cycle, thereby affecting the quality of the corrugated gasket produced in the next cycle. Therefore, the embodiment of the present invention analyzes the difference between the frequency and phase of the target component signals of adjacent cycles to obtain the variable factor of the material strip in each cycle, which is used to describe the additional amount of stamping required to compensate for the previous oscillation and the continuation of the current stamping cycle. Finally, the deformation characteristic value, variable factor, and depth data of the shear mark of the semi-finished material strip in each cycle are integrated to evaluate the impact of the oscillation in each cycle, and then the stamping speed in the next cycle is adjusted to avoid the material strip being in an unstable oscillation state during stamping, resulting in uneven shear marks and deformation after stamping.

[0142] The embodiment of the present invention also provides a stamping quality control system for a corrugated washer, see Figure 6, which shows a schematic diagram of the system structure, including a processor 600, a memory 601, a bus 602 and a communication interface 603, wherein the processor 600, the communication interface 603 and the memory 601 are connected via the bus 602; wherein the memory 601 may include a high-speed random access memory, the bus 602 may be an ISA bus, a PCI bus or an EISA bus, etc., and the processor 600 may be an integrated circuit chip with signal processing capabilities; the memory 601 stores at least one instruction, at least one program, a code set or an instruction set, and when the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor, a step in a stamping quality control device for a corrugated gasket is implemented.

[0143] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0144] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A stamping quality control device for a corrugated washer, characterized in that: The invention comprises a feeding mechanism, a blanking and stamping mechanism and a scanning mechanism. A vibration sensor is installed on the guide groove of the feeding mechanism, and the feeding mechanism transmits the material strip in a periodic intermittent manner. The scanning mechanism has a built-in laser scanning device and a control unit. The blanking and stamping mechanism comprises at least a blanking punch and a forming punch. The blanking punch is used for the first stamping, and the forming punch is used for the second stamping. The vibration sensor is used to obtain the vibration time series data of the guide groove, and the laser scanning device is used to obtain the depth data of the shear mark of the semi-finished material strip. The control unit is used to control the stamping speed of the first stamping according to the vibration time series data and the depth data. The control process comprises: Obtain the vibration time series data of the guide groove in each cycle and the depth data of the shear marks of the semi-finished material strip; Decomposing the vibration time series data, and screening the target component signal according to the periodicity characteristics and frequency characteristics of the data in the component signal; Analyze the correlation between the frequency distribution and phase distribution of the target component signals, as well as the periodic characteristics of the target component signals and the fluctuation of the data values, and determine the deformation characteristic value of the strip in each period; Compare the difference between the frequency and phase of the target component signal of each cycle and the adjacent cycle in time sequence, so as to obtain the variation factor of the material strip in each cycle; The deformation characteristic value of the material strip in each cycle, the variable factor and the confusion degree of the depth data of the shear mark of the semi-finished material strip are integrated, and the original stamping speed of the blanking punch in the next cycle in time sequence is adjusted to obtain the adjusted stamping speed; based on the original stamping speed and the adjusted stamping speed, the first stamping is performed on the material strip in the next cycle to obtain the shear mark of the semi-finished material strip.

2. The stamping quality control device for a wave washer according to claim 1, characterized in that: The method for acquiring the target component signal includes: Performing ITD decomposition on the vibration time series data in each period to obtain all component signals, and all component signals are sorted according to the decomposition level; Obtain the autocorrelation function value of each component signal and perform normalization processing to obtain a periodic characteristic value; Performing Fourier transform on each component signal to obtain frequency domain data, in which the mean of the frequencies with amplitudes is calculated and normalized as frequency eigenvalues; The difference between the periodic characteristic value and the frequency characteristic value of each component signal is used as the periodicity index of each component signal; Among all the component signals of the vibration time series data, the component signal corresponding to the maximum periodicity index is used as a cutoff signal, and the cutoff signal and the previous component signal are used together as a target component signal.

3. The stamping quality control device for a wave washer according to claim 2, characterized in that: The method for obtaining the deformation characteristic value comprises: The phase spectrum of each target component signal is obtained based on Fourier transform; In the phase spectrum, the mean of all phase values ​​is taken as the average phase value of each target component signal; Arrange all target component signals of the vibration time series data in each cycle in ascending order of average phase values ​​to obtain a sorted sequence; Arrange all target component signals according to the decomposition levels to obtain a decomposition level sequence; Calculating the Spearman rank correlation coefficient between the decomposition level sequence and the sorting sequence and performing normalization processing as the first stabilizing factor; Analyze the periodic characteristics of the target component signal and the fluctuation of the data value to obtain a second stability factor; The product of the first stability factor and the second stability factor is negatively correlated and normalized to obtain a value which is used as the deformation characteristic value of the material strip in each cycle.

4. The stamping quality control device for a wave washer according to claim 3, characterized in that: The method for obtaining the second stability factor includes: The variance of all data values ​​in the first target component signal in the decomposition level sequence is used as the high-frequency signal fluctuation factor; The normalized value of the autocorrelation function of the penultimate target component signal in the decomposition level is used as the periodic factor of the low-frequency signal; The second stability factor is obtained according to the high-frequency signal fluctuation factor and the low-frequency signal periodic factor, and the high-frequency signal fluctuation factor is negatively correlated with the second stability factor, and the low-frequency signal periodic factor is positively correlated with the second stability factor.

5. The stamping quality control device for a wave washer according to claim 3, characterized in that: The method for obtaining the variable factor includes: For each cycle, the previous cycle adjacent in time sequence is used as the comparison cycle; The difference between the frequency characteristic value of the cutoff signal of the comparison period and each period is used as the first judgment value; The difference between the comparison period and the average phase value of the cutoff signal of each period is used as the second judgment value; The difference between the average phase value mean of all target component signals except the cutoff signal in each cycle and the average phase value mean of all target component signals except the cutoff signal in the comparison cycle is used as the third judgment value; For any cycle, when the values ​​of the first judgment value, the second judgment value and the third judgment value corresponding to the cycle meet the preset conditions, the normalized value of the difference between the second judgment value and the third judgment value is used as the variable factor of the material strip in the cycle; If the first judgment value, the second judgment value and the third judgment value corresponding to the period do not meet the preset conditions, the variable factor of the material strip in the period is the preset value.

6. The stamping quality control device for a wave washer according to claim 5, characterized in that: The preset conditions are set as: The first judgment value is a positive value, the second judgment value is a positive value, and the third judgment value is a positive value.

7. The stamping quality control device for a wave washer according to claim 1, characterized in that: The method for adjusting the punching speed comprises: In each cycle, the variance of the depth data at each position in the shear mark of the semi-finished material strip is taken as the confusion factor; The product of the disorder factor and the deformation eigenvalue is taken as an oscillation factor; The sum of the oscillation factor and the variable factor of the material strip is normalized to obtain a value as the oscillation coefficient; The product of the value after negative correlation mapping of the oscillation coefficient and the original punching speed is used as the adjusted punching speed.

8. The stamping quality control device for a wave washer according to claim 1, characterized in that: The method of performing a first punching on the material strip in the next cycle based on the original punching speed and adjusting the punching speed to obtain a shear mark of the semi-finished material strip comprises: In the next cycle, when the first stamping is performed, the stamping is performed using the adjusted stamping speed until the stamping reaches half of the preset thickness, and then the stamping speed is restored to the original stamping speed and the stamping is continued until the preset thickness is reached, and the stamping is stopped to obtain the shear marks of the semi-finished material strip.

9. The stamping quality control device for a wave washer according to claim 1, characterized in that: The scanning mechanism also has a built-in damping device: The damping device is composed of a roller and a lifting connecting rod, the connecting rod is lifted and lowered reciprocatingly, and the lifting and lowering frequency is the same as the periodic intermittent frequency of the feeding structure; When there is a periodic pause, the connecting rod drops, the roller contacts the material belt, and the roller moves at a low speed in the direction opposite to the conveying direction of the material belt, which is used to eliminate the inertial speed of the material belt itself during the periodic pause.

10. A stamping quality control system for wave washers, characterized in that: It includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and when the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor, the steps of a stamping quality control device for a corrugated gasket as described in any one of claims 1 to 8 are implemented.

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