A bearing ring surface brush polishing system and method

Abstract

The present invention relates to the field of surface polishing, and in particular to a bearing ring surface brush polishing system and method. The contents include: calculating the surface morphology data of the bearing ring acquired at each stage to obtain a stage-by-stage accuracy index; judging the surface roughness of each stage based on the stage-by-stage accuracy index, and processing the surface morphology data of the bearing ring at each stage based on the judgment result to obtain a frequency domain response; dynamically adjusting the force applied by the brush based on the stage-by-stage accuracy index and the frequency domain response, and controlling the brush speed. It solves the problem that the traditional surface treatment method adopts a single adjustment strategy, which may lead to excessive wear or insufficient wear; it is easy to ignore the frequency domain characteristics of the surface texture and the influence of different frequency components on the surface roughness; the force applied by the brush is not appropriate, resulting in surface damage or poor polishing effect; the lack of fine adjustment of the force applied by the brush is prone to excessive wear or uneven treatment.

Description

Technical Field

[0001] The invention relates to the field of surface polishing, and in particular to a brush polishing system and method for the surface of a bearing ring. Background Art

[0002] As an important component of the bearing, the surface of the bearing ring must be finely processed in order to improve the operating performance of the bearing and extend its service life. Although traditional surface treatment methods such as polishing, grinding, sandblasting, etc. can improve the surface finish, there are the following technical problems: using a single adjustment strategy, especially when the roughness difference is extremely large, may lead to excessive wear or insufficient wear before the target roughness is reached; it is easy to ignore the frequency domain characteristics of the surface texture and neglect the influence of different frequency components on the surface roughness; if the force applied by the brush is not appropriate, it will cause surface damage or poor polishing effect; lack of fine adjustment of the force applied by the brush is prone to excessive wear or uneven treatment. Summary of the invention

[0003] The present invention provides a bearing ring surface brush polishing system and method to solve the problems of adopting a single adjustment strategy in traditional surface treatment methods, especially in the case of extremely large differences in roughness, which may lead to excessive wear or insufficient wear before reaching the target roughness; the frequency domain characteristics of the surface texture are easily ignored, and the influence of different frequency components on the surface roughness is neglected; if the force applied by the brush is inappropriate, it will cause surface damage or poor polishing effect; lack of fine adjustment of the force applied by the brush, which is prone to excessive wear or uneven treatment.

[0004] A bearing ring surface brush polishing system and method of the present invention specifically include the following technical solutions:

[0005] A method for brush polishing the surface of a bearing ring comprises the following steps:

[0006] S1: Obtain the surface morphology data of the bearing ring at each stage, calculate the surface morphology data of the bearing ring at each stage through the stage accuracy judgment algorithm, and obtain the stage accuracy index; based on the stage accuracy index, judge the surface roughness of each stage to obtain the judgment result;

[0007] S2: Based on the judgment results, the surface topography data of the bearing ring in each stage is processed by the surface frequency domain feature extraction algorithm to obtain the frequency domain response;

[0008] S3: Based on the staged accuracy index and frequency domain response, the force applied by the brush is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm;

[0009] S4: Based on the force applied by the brush, the brush speed is calculated by a brush speed calculation algorithm, and the brush speed during the surface polishing process is controlled.

[0010] Preferably, the S1 specifically includes:

[0011] The stage-by-stage accuracy judgment algorithm analyzes the height values ​​of the scanning points in the bearing ring surface topography data of each stage, calculates the difference between the height value of each scanning point and the average height of all scanning points, and obtains the height difference of each scanning point; and obtains the actual surface roughness of each stage by averaging the height differences of all scanning points in each stage.

[0012] Preferably, the S1 specifically includes:

[0013] Based on the actual surface roughness of each stage, the roughness difference is quantified to obtain the stage accuracy index; based on the stage accuracy index, the surface roughness of each stage is judged to obtain the judgment result: when the stage accuracy index is less than the preset threshold of the stage roughness difference, enter the next stage of polishing; when the stage accuracy index is greater than or equal to the threshold of the stage roughness difference, continue the current stage polishing; when the stage accuracy index is zero, the brush polishing process of the bearing ring surface is completed.

[0014] Preferably, the S2 specifically includes:

[0015] The surface frequency domain feature extraction algorithm converts the height value of the scanning point in the surface topography data of the bearing ring at each stage into a frequency component through Fourier transform; based on the height value of the scanning point, combined with the frequency component, the frequency domain response is obtained; the calculation formula of the frequency domain response is:

[0016]

[0017] in, Indicates Frequency domain response of the stage; Indicates The number of points scanned in the phase; Indicates The first The height value of each point; The complex exponential term representing the Fourier transform is used to transform the bearing ring surface topography data from the spatial domain to the frequency domain; Indicates plural units; represents the base of natural logarithms; The radian system for expressing circular angles; Indicates the scanned The horizontal coordinates of the points; Indicates the scanned The vertical coordinate of a point; is the frequency component in the horizontal direction in the frequency domain; is the frequency component in the vertical direction in the frequency domain; represents the frequency weighting function.

[0018] Preferably, the S2 specifically includes:

[0019] In the process of realizing the surface frequency domain feature extraction algorithm, a frequency weighting function is introduced, and the frequency component is weighted by using the adjustment factor for controlling the frequency weighting intensity and the adjustment factor for controlling the weighted attenuation rate.

[0020] Preferably, the S3 specifically includes:

[0021] The dynamic nonlinear brush force calculation and adjustment algorithm introduces a proportional factor and an exponential attenuation function based on the staged accuracy index and frequency domain response to dynamically adjust the force applied by the brush; the calculation formula for the staged brush force is:

[0022]

[0023] in, Indicates The force applied by the stage brush; Indicates The accuracy index of the stage; represents the scale factor; Indicates Frequency domain response of the stage; represents an exponential decay function; represents the nonlinear adjustment factor; represents the pressure calibration factor; Indicates The effective contact area between the stage brush and the bearing ring; Indicates The local pressure of the stage.

[0024] Preferably, the S3 specifically includes:

[0025] In the process of implementing the dynamic nonlinear brush force calculation and adjustment algorithm, the pressure in the local area when the brush contacts the surface is calculated using the Hertz contact theory, and a gain factor is introduced to integrate the pressure in each area to obtain the local pressure.

[0026] Preferably, the S4 specifically includes:

[0027] The brush speed calculation algorithm introduces an exponential decay term and a periodic fluctuation term based on the force applied by the brush, and calculates the brush speed in combination with the friction coefficient between the bearing ring surface and the brush. The calculation formula of the brush speed is:

[0028]

[0029] in, Indicates The brush speed of the stage; Indicates The force applied by the stage brush; Indicates the friction coefficient between the bearing ring surface and the brush; represents the nonlinear correction factor; represents the exponential decay term; represents the attenuation constant; represents a parameter for controlling the amplitude of the periodic fluctuation between the force applied by the brush and the speed of the brush; is a periodic fluctuation term; Represents the frequency of the periodic fluctuations caused by the force applied by the brush.

[0030] A brush polishing system for the surface of a bearing ring comprises the following parts:

[0031] Data acquisition module, stage accuracy judgment module, surface frequency domain response calculation module, brush force calculation and adjustment module, brush speed calculation module;

[0032] Data acquisition module: acquires the surface morphology data of the bearing ring at each stage; outputs the surface morphology data of the bearing ring at each stage to the stage accuracy judgment module and the surface frequency domain response calculation module;

[0033] Stage accuracy judgment module: Calculate the surface morphology data of the bearing ring at each stage through the stage accuracy judgment algorithm to obtain the stage accuracy index; judge the surface roughness of each stage through the stage accuracy index to obtain the judgment result; output the judgment result and stage accuracy index to the surface frequency domain response calculation module and the brush force calculation and adjustment module respectively;

[0034] Surface frequency domain response calculation module: Based on the judgment results, the surface frequency domain feature extraction algorithm is used to process the surface morphology data of the bearing ring at each stage to obtain the frequency domain response; the frequency domain response is output to the brush force calculation and adjustment module;

[0035] Brush force calculation and adjustment module: Based on the staged accuracy index and frequency domain response, the brush force is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm; the brush force is output to the brush speed calculation module;

[0036] Brush speed calculation module: Based on the force applied by the brush, the brush speed is calculated through the brush speed calculation algorithm to control the brush speed during the surface polishing process.

[0037] The beneficial effects of the technical solution of the present invention are:

[0038] 1. Through the precision analysis of the surface topography data of the bearing ring at each stage, the surface roughness is accurately monitored. The roughness difference at each stage is quantified by using stage-by-stage precision indicators. By comparing the difference between the target surface roughness and the actual surface roughness, it is ensured that the surface roughness meets the precision requirements during each stage of polishing, avoiding excessive or insufficient wear, improving the efficiency and surface quality of the polishing process, ensuring that the polishing work at each stage meets the standards, and ultimately improving the consistency and precision of the surface polishing.

[0039] 2. The surface morphology data of the bearing ring is converted from the spatial domain to the frequency domain through Fourier transform, which effectively extracts the frequency domain response of the bearing ring surface, allowing the identification of subtle texture changes in the frequency domain, which helps to finely control the high-frequency part (subtle texture). At the same time, by introducing the frequency weighting function, the brush polishing system of the bearing ring surface can be sensitive to subtle changes in the surface, thereby optimizing the polishing process and ensuring surface accuracy and uniformity.

[0040] 3. Based on the staged accuracy index and frequency domain response, the force applied by the brush is dynamically adjusted to accurately control the force applied by the brush during the polishing process, avoiding the wear problem caused by excessive or insufficient force applied by the brush. When the roughness difference is large, the force applied by the brush increases, thereby reducing the unevenness of the bearing ring surface; when the roughness difference is small, the force applied by the brush gradually decreases to avoid excessive wear. By adjusting the force applied by the brush, not only the polishing efficiency is improved, but also the service life of the equipment is effectively extended.

[0041] 4. The brush speed is controlled by exponential decay and periodic fluctuation terms. As the force applied by the brush changes, the brush speed is gradually adjusted to achieve fine control of surface polishing. By precisely controlling the brush speed, each stage of polishing can be carried out at the optimal speed, effectively avoiding excessive wear or uneven treatment caused by too high or too low speed, significantly improving the stability and efficiency of the polishing process, and reducing the need for subsequent adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a structural diagram of a brush polishing system for a bearing ring surface according to the present invention;

[0043] Figure 2 The present invention is a flow chart of a method for brush polishing a bearing ring surface. DETAILED DESCRIPTION

[0044] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] 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.

[0046] The specific scheme of a bearing ring surface brush polishing system and method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0047] See attached Figure 1 , which shows a structural diagram of a bearing ring surface brush polishing system provided by an embodiment of the present invention, the system includes the following parts:

[0048] Data acquisition module, stage accuracy judgment module, surface frequency domain response calculation module, brush force calculation and adjustment module, brush speed calculation module;

[0049] Data acquisition module: obtains the surface morphology data of the bearing ring at each stage through a three-dimensional scanner; outputs the surface morphology data of the bearing ring at each stage to the stage accuracy judgment module and the surface frequency domain response calculation module;

[0050] Stage accuracy judgment module: Calculate the surface morphology data of the bearing ring at each stage through the stage accuracy judgment algorithm to obtain the stage accuracy index; judge the surface roughness of each stage through the stage accuracy index to obtain the judgment result; output the judgment result and stage accuracy index to the surface frequency domain response calculation module and the brush force calculation and adjustment module respectively;

[0051] Surface frequency domain response calculation module: Based on the judgment results, the surface frequency domain feature extraction algorithm is used to process the surface morphology data of the bearing ring at each stage to obtain the frequency domain response; the frequency domain response is output to the brush force calculation and adjustment module;

[0052] Brush force calculation and adjustment module: Based on the staged accuracy index and frequency domain response, the brush force is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm; the brush force is output to the brush speed calculation module;

[0053] Brush speed calculation module: Based on the force applied by the brush, the brush speed is calculated through the brush speed calculation algorithm to achieve fine control of the brush speed during the surface polishing process.

[0054] See attached Figure 2 , which shows a flow chart of a method for brush polishing a bearing ring surface provided by an embodiment of the present invention, the method comprising the following steps:

[0055] S1. Obtain the surface morphology data of the bearing ring at each stage, calculate the surface morphology data of the bearing ring at each stage through the stage accuracy judgment algorithm, and obtain the stage accuracy index; based on the stage accuracy index, judge the surface roughness of each stage to obtain the judgment result;

[0056] Since the brush polishing process of the bearing ring surface is a complex process, it is difficult to achieve the required surface roughness in one step. If a single adjustment strategy is used for the entire polishing process without stage-by-stage decomposition, excessive wear is likely to occur before the target surface roughness is achieved, especially when the roughness difference is extremely large;

[0057] The surface morphology data of the bearing ring at each stage is obtained through a 3D scanner to form a point cloud data set ,in, Indicates The point cloud dataset of the stage, Indicates the scanned The spatial coordinates of the points, Indicates the scanned The horizontal coordinates of the points, Indicates the scanned The vertical coordinate of the point, Indicates The first The height value of each point; Indicates The number of points scanned in the phase;

[0058] The stage-by-stage accuracy judgment algorithm is used to calculate the surface morphology data of the bearing ring at each stage to obtain the stage-by-stage accuracy index; based on the stage-by-stage accuracy index, it is judged whether the surface roughness of each stage meets the accuracy requirements, so as to determine whether to enter the next stage of polishing;

[0059] The stage-by-stage accuracy judgment algorithm calculates the roughness of the entire bearing ring surface by analyzing the height values ​​of the scanning points in the bearing ring surface topography data; specifically, the height difference of each scanning point in the bearing ring surface topography data of each stage is calculated, and the height difference of each scanning point is obtained; the actual surface roughness of each stage is obtained by averaging the height differences of all scanning points in each stage;

[0060] In order to quantify the surface roughness difference, the stage accuracy index is introduced. The stage accuracy index calculates the absolute difference between the stage target surface roughness and the actual surface roughness of each stage, reflecting the difference between the stage target surface roughness and the actual surface roughness of each stage.

[0061] The calculation formula of the stage accuracy index is:

[0062]

[0063] in, Indicates The accuracy index of the stage; Indicates The target surface roughness of the stage can be set according to the specific implementation scenario and is not limited here; Indicates The absolute difference between the target surface roughness and the actual surface roughness of the stage is used to quantify the difference between the stage-wise target surface roughness and the actual surface roughness of each stage; Indicates The actual surface roughness of the stage is calculated as follows:

[0064]

[0065] Based on the stage accuracy index, the surface roughness of each stage is judged to obtain the judgment result; specifically, the stage accuracy index is compared with the threshold of the stage roughness difference. When the stage accuracy index is less than the threshold of the stage roughness difference, the next stage polishing is entered; when the stage accuracy index is greater than or equal to the threshold of the stage roughness difference, the current stage polishing is still performed; when the stage accuracy index is zero, the brush polishing process of the bearing ring surface is completed; the formula is as follows:

[0066]

[0067] in, Indicates The threshold of the roughness difference between the stages can be set according to the specific implementation scenario and is not limited here;

[0068] Staged processing allows the brush polishing system of the bearing ring surface to evaluate the current stage accuracy index of the bearing ring at each stage, avoiding excessive or insufficient wear, thereby improving the polishing efficiency and ensuring that the final bearing ring surface quality meets the standards;

[0069] S2. Based on the judgment result, the surface topography data of the bearing ring in each stage is processed by the surface frequency domain feature extraction algorithm to obtain the frequency domain response;

[0070] When the stage accuracy index is not zero (i.e. the judgment result shows that the bearing ring surface is still in the brush polishing process), the surface topography data of the bearing ring in each stage is processed by the surface frequency domain feature extraction algorithm to obtain the frequency domain response;

[0071] The surface frequency domain feature extraction algorithm converts the surface morphology data of the bearing ring at each stage from the spatial domain to the frequency domain through Fourier transform. Specifically, the Fourier transform converts the spatial position coordinates of the bearing ring surface in the horizontal and vertical directions into coordinates in the frequency domain. The coordinates of each point in the frequency domain correspond to a specific spatial frequency in the spatial domain, that is, the degree of detail of the surface texture change. In the frequency domain, the height value of each scanning point is Fourier transformed into a frequency component, thereby forming a complex frequency domain response in the frequency domain. The height values ​​of all scanning points are summed and combined with the corresponding frequency components to obtain the characteristic response of the entire bearing ring surface in the frequency domain, that is, the frequency domain response.

[0072] In order to accurately reflect the influence of different frequency components on the surface texture of the bearing ring, a frequency weighting function is introduced. The frequency components are weighted by using the adjustment factor for controlling the frequency weighting intensity and the adjustment factor for controlling the weighted attenuation rate, so that the response to high-frequency components (i.e., subtle surface texture) is extremely sensitive.

[0073] The frequency domain response is calculated as:

[0074]

[0075] in, Indicates Frequency domain response of the stage; Indicates The number of points scanned in the phase; Indicates The first The height value of each point; The complex exponential term representing the Fourier transform is used to transform the bearing ring surface topography data from the spatial domain to the frequency domain; Indicates plural units; represents the base of natural logarithms; The radian system represents circular angles and is the standard unit of frequency in Fourier transforms; is the frequency component in the horizontal direction in the frequency domain, , Indicates the frequency index in the horizontal direction, the value range is , It is The number of discrete points in the horizontal direction of the phase scanning area, Indicates the horizontal size of the scanning area; is the frequency component in the vertical direction in the frequency domain; , Indicates the frequency index in the vertical direction, the value range is , It is The number of discrete points in the vertical direction of the phase scanning area, Indicates the size of the scanning area in the vertical direction; Represents the frequency weighting function, which is used to adjust the weights of different frequency components in the frequency domain. The calculation formula is:

[0076]

[0077] in, represents the adjustment factor that controls the frequency weighting strength; represents the adjustment factor that controls the weighted decay rate; It represents the sum of the squares of the frequency components, which is used to reflect the magnitude of the frequency components. The larger the frequency, the more subtle the corresponding surface changes.

[0078] S3, based on the staged accuracy index and frequency domain response, the force applied by the brush is dynamically adjusted through a dynamic nonlinear brush force calculation and adjustment algorithm;

[0079] Based on the staged accuracy index and frequency domain response, the force applied by the brush is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm to optimize the polishing effect and avoid excessive wear or uneven treatment of the bearing ring surface;

[0080] The dynamic nonlinear brush force calculation and adjustment algorithm preliminarily adjusts the force applied by the brush based on the stage accuracy index and the frequency domain response, adjusts the influence of the frequency domain response on the force applied by the brush through the proportional factor, introduces an exponential attenuation function, and controls the degree of adjustment of the force applied by the brush. The larger the stage accuracy index, the stronger the force applied by the brush, thereby helping to reduce the unevenness of the surface of the bearing ring; when the stage accuracy index is extremely small, the force applied by the brush gradually weakens, thereby avoiding excessive wear;

[0081] The pressure in the local area when the brush contacts the surface is calculated by Hertz contact theory, which is a well-known technical means for those skilled in the art and will not be described in detail here; the local pressure is further obtained by integrating the pressure in each area; a gain factor is introduced to characterize the gain effect of the staged accuracy index on the pressure;

[0082] The formula for calculating the force applied by the staged brush is:

[0083]

[0084] in, Indicates The force applied by the stage brush; Indicates The accuracy index of the stage; represents the scaling factor, which is used to adjust the effect of the frequency domain response on the force applied by the brush; Indicates Frequency domain response of the stage; represents an exponential decay function, which is used to control the degree of regulation of the force applied by the brush, helping to prevent excessive force from causing damage to the bearing ring surface; Represents the nonlinear adjustment factor, which is used to control the The precision index of the stage has an exponential effect on the force applied by the brush; Indicates The square of the precision index of the stage, after the square processing, amplifies the effect of the roughness difference on the regulation of the force applied by the brush; represents the pressure calibration factor, which is used to calibrate the relationship between the force applied by the brush and the local pressure; Indicates The effective contact area between the stage brush and the bearing ring; Indicates The local pressure of the stage, the local pressure is the pressure exerted by the brush when it contacts the surface, and the calculation formula is:

[0085]

[0086] in, Indicates the amount of pressure in the local area when the brush contacts the surface; Indicates The gain factor of the stage accuracy index to the local pressure; Indicated in The pressure distribution in the area is integrated and the local pressure is obtained by integrating the pressure in each micro area.

[0087] S4, based on the force applied by the brush, the brush speed is calculated by a brush speed calculation algorithm, and the brush speed during the surface polishing process is controlled;

[0088] Based on the force applied by the brush, the brush speed is calculated by the brush speed calculation algorithm to achieve fine control of the brush speed during the surface polishing process;

[0089] In the brush speed calculation algorithm, the calculation of the brush speed is not only based on the force applied by the brush, but also combines the friction coefficient between the bearing ring surface and the brush, and introduces an exponential decay term, so that the increase in the brush speed can be gradually adjusted according to the magnitude of the force applied by the brush. When the force applied by the brush increases, the increase in the brush speed will gradually decrease, which can effectively avoid excessive wear or uneven treatment caused by excessive force applied by the brush.

[0090] Further introducing a periodic fluctuation term, the periodic fluctuation can adjust the change law of the brush speed, so that the brush speed is not a simple linear increase, but presents a certain periodic response with the change of the force applied by the brush, which helps to optimize the uniformity and accuracy of the surface treatment, especially in the process requiring fine and uniform polishing;

[0091] The calculation formula of brush speed is:

[0092]

[0093] in, Indicates The brush speed of the stage; Indicates the friction coefficient between the bearing ring surface and the brush; represents a nonlinear correction factor, which is used to control the nonlinear relationship between the force applied by the brush and the brush speed; represents an exponential decay term, which describes the nonlinear effect of the increase in the force applied by the brush on the increase in the brush speed, so that the brush speed gradually tends to be stable as the force applied by the brush increases, thereby avoiding the instability of the brush speed caused by excessive force applied by the brush; represents the attenuation constant, reflecting the attenuation effect of the increase in the force applied by the brush on the brush speed; represents a parameter for controlling the amplitude of the periodic fluctuation between the force applied by the brush and the speed of the brush; It is a periodic fluctuation term, which describes the periodic effect of the force applied by the brush on the brush speed through a sine function, increases the dynamic change between the force applied by the brush and the brush speed, and ensures the optimization of the surface roughness; It represents the frequency of the periodic fluctuation caused by the force applied by the brush, and determines the periodic fluctuation of the brush speed when the force applied by the brush changes;

[0094] Through precise speed control, the brush can be polished at the optimal speed at different stages, thereby improving the efficiency and stability of the process and reducing the processing cycle and the need for subsequent adjustments.

[0095] In summary, a system and method for brush polishing the surface of a bearing ring are completed.

[0096] The order of the embodiments of the invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the 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.

[0097] 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.

[0098] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for brush polishing the surface of a bearing ring, characterized in that: The following steps are involved: S1: Obtain the surface topography data of the bearing ring at each stage, analyze the height values ​​of the scanning points in the surface topography data of the bearing ring at each stage through the stage-by-stage accuracy judgment algorithm, calculate the difference between the height value of each scanning point and the average height of all scanning points, and obtain the height difference of each scanning point; The height differences of all scanning points in each stage are averaged to obtain the actual surface roughness of each stage; Based on the actual surface roughness of each stage, the roughness difference is quantified to obtain the stage-by-stage accuracy index; Based on the stage-by-stage accuracy index, the surface roughness of each stage is judged to obtain the judgment result: when the stage-by-stage accuracy index is less than the preset threshold of the stage-by-stage roughness difference, the next stage of polishing is entered; when the stage-by-stage accuracy index is greater than or equal to the threshold of the stage-by-stage roughness difference, the current stage of polishing is continued; when the stage-by-stage accuracy index is zero, the brush polishing process of the bearing ring surface is completed; S2: Based on the judgment results, the surface topography data of the bearing ring in each stage is processed by the surface frequency domain feature extraction algorithm to obtain the frequency domain response; S3: Based on the staged accuracy index and frequency domain response, the force applied by the brush is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm; S4: Based on the force applied by the brush, the brush speed is calculated by a brush speed calculation algorithm, and the brush speed during the surface polishing process is controlled.

2. A method for brush polishing a bearing ring surface according to claim 1, characterized in that: The S2 specifically includes: The surface frequency domain feature extraction algorithm converts the height value of the scanning point in the surface topography data of the bearing ring at each stage into a frequency component through Fourier transform; based on the height value of the scanning point, combined with the frequency component, the frequency domain response is obtained; the calculation formula of the frequency domain response is: in, Indicates Frequency domain response of the stage; Indicates The number of points scanned in the phase; Indicates The first The height value of each point; The complex exponential term representing the Fourier transform is used to transform the bearing ring surface topography data from the spatial domain to the frequency domain; Indicates plural units; represents the base of natural logarithms; The radian system for expressing circular angles; Indicates the scanned The horizontal coordinates of the points; Indicates the scanned The vertical coordinate of a point; is the frequency component in the horizontal direction in the frequency domain; is the frequency component in the vertical direction in the frequency domain; represents the frequency weighting function.

3. A method for brush polishing a bearing ring surface according to claim 2, characterized in that: The S2 specifically includes: In the process of realizing the surface frequency domain feature extraction algorithm, a frequency weighting function is introduced, and the frequency component is weighted by using the adjustment factor for controlling the frequency weighting intensity and the adjustment factor for controlling the weighted attenuation rate.

4. A method for brush polishing a bearing ring surface according to claim 1, characterized in that: The S3 specifically includes: The dynamic nonlinear brush force calculation and adjustment algorithm introduces a proportional factor and an exponential attenuation function based on the staged accuracy index and frequency domain response to dynamically adjust the force applied by the brush; the calculation formula for the staged brush force is: in, Indicates The force applied by the stage brush; Indicates The accuracy index of the stage; represents the scale factor; Indicates Frequency domain response of the stage; represents an exponential decay function; represents the nonlinear adjustment factor; represents the pressure calibration factor; Indicates The effective contact area between the stage brush and the bearing ring; Indicates The local pressure of the stage.

5. A method for brush polishing a bearing ring surface according to claim 4, characterized in that: The S3 specifically includes: In the process of implementing the dynamic nonlinear brush force calculation and adjustment algorithm, the pressure in the local area when the brush contacts the surface is calculated using the Hertz contact theory, and a gain factor is introduced to integrate the pressure in each area to obtain the local pressure.

6. A method for brush polishing a bearing ring surface according to claim 1, characterized in that: The S4 specifically includes: The brush speed calculation algorithm introduces an exponential decay term and a periodic fluctuation term based on the force applied by the brush, and calculates the brush speed in combination with the friction coefficient between the bearing ring surface and the brush. The calculation formula of the brush speed is: in, Indicates The brush speed of the stage; Indicates The force applied by the stage brush; Indicates the friction coefficient between the bearing ring surface and the brush; represents the nonlinear correction factor; represents the exponential decay term; represents the attenuation constant; represents a parameter for controlling the amplitude of the periodic fluctuation between the force applied by the brush and the speed of the brush; is a periodic fluctuation term; Represents the frequency of the periodic fluctuations caused by the force applied by the brush.

7. A bearing ring surface brush polishing system, applied to a bearing ring surface brush polishing method as claimed in claim 1, characterized in that: Includes the following parts: Data acquisition module, stage accuracy judgment module, surface frequency domain response calculation module, brush force calculation and adjustment module, brush speed calculation module; Data acquisition module: obtain the surface morphology data of the bearing ring at each stage; Outputting the surface morphology data of the bearing ring at each stage to the stage accuracy judgment module and the surface frequency domain response calculation module; Stage accuracy judgment module: Calculate the surface morphology data of the bearing ring at each stage through the stage accuracy judgment algorithm to obtain the stage accuracy index; judge the surface roughness of each stage through the stage accuracy index to obtain the judgment result; output the judgment result and stage accuracy index to the surface frequency domain response calculation module and the brush force calculation and adjustment module respectively; Surface frequency domain response calculation module: Based on the judgment results, the surface frequency domain feature extraction algorithm is used to process the surface morphology data of the bearing ring at each stage to obtain the frequency domain response; the frequency domain response is output to the brush force calculation and adjustment module; Brush force calculation and adjustment module: Based on the staged accuracy index and frequency domain response, the brush force is dynamically adjusted through the dynamic nonlinear brush force calculation and adjustment algorithm; Outputting the force applied by the brush to a brush speed calculation module; Brush speed calculation module: Based on the force applied by the brush, the brush speed is calculated through the brush speed calculation algorithm to control the brush speed during the surface polishing process.

Images