Grinding processing method and system based on surface deviation of workpiece, terminal and medium

Abstract

The application relates to the technical field of grinding processing, and discloses a grinding processing method and system based on surface eccentricity of a grinding workpiece, a terminal and a medium.The grinding processing method based on surface eccentricity of a grinding workpiece comprises the following steps: acquiring the appearance information of a grinding workpiece under different grinding agents; processing the appearance information to obtain surface eccentricity information of the grinding workpiece; obtaining correlation information affecting the surface eccentricity of the grinding workpiece according to the surface eccentricity information, wherein the correlation information is the relationship between the hardness of the workpiece and the hardness of the abrasive particles of the grinding agent; and determining the target grinding agent corresponding to the target workpiece according to the correlation information, so as to adopt the target grinding agent to perform grinding processing on the target workpiece. The application can adjust the matching relationship between the hardness of the abrasive particles and the hardness of the workpiece based on the hardness relationship, realize the adjustment of the surface eccentricity parameter of the target workpiece, and further improve the grinding effect of the workpiece.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of grinding processing, and particularly relates to a grinding processing method and system based on surface skewness of a grinding workpiece, a terminal and a medium. BACKGROUND

[0002] Grinding is a precision and ultra-precision machining method widely used in different fields. The abrasive particles coated or embedded on a grinding tool are used to finish the machining surface through the relative movement of the grinding tool and the workpiece under a certain pressure. In the machining process of high-precision major equipment, grinding is often the last step of machining a series of key components such as the matching surface of the integral bladed disk of an aero-engine, the square mirror of the workpiece table of a photoetching machine, and the precision bearing ball of a numerical control machine tool, directly determining the surface quality of the finished product, and is of great significance to the stable operation of the equipment and the health and safety of the operating personnel. As an important factor affecting the grinding processing effect, the grinding process has a very important influence on the quality control of the machining surface.

[0003] At present, there is a lack of relevant knowledge and experience to regulate the skewness parameter, so that the grinding effect of the grinding workpiece cannot be guaranteed when the grinding agent is selected for grinding different grinding workpieces.

[0004] Therefore, the prior art still needs to be improved and developed. SUMMARY

[0005] The main purpose of the present application is to provide a grinding processing method and system based on surface skewness of a grinding workpiece, a terminal and a medium, which aims to solve the problem of poor workpiece grinding effect when the grinding agent is selected for grinding different grinding workpieces in the prior art.

[0006] The first aspect of the embodiment of the present application provides a grinding processing method based on surface skewness of a grinding workpiece, which comprises the following steps:

[0007] Obtaining the topographic information of the grinding workpiece under different grinding agents;

[0008] Processing the topographic information to obtain the surface skewness information of the grinding workpiece;

[0009] According to the surface skewness information, obtaining the correlation information affecting the surface skewness of the grinding workpiece, wherein the correlation information is the relationship between the hardness of the workpiece and the hardness of the abrasive particles of the grinding agent;

[0010] According to the correlation information, determining the target grinding agent corresponding to the target workpiece, so as to adopt the target grinding agent to grind the target workpiece.

[0011] Optionally, in an embodiment of the present application, the topography information comprises a first surface topography image and a second surface topography image.

[0012] The method further comprises:

[0013] obtaining a first surface topography image of the grinding workpiece under the first grinding agent;

[0014] obtaining a second surface topography image of the grinding workpiece under the second grinding agent;

[0015] wherein a hardness of abrasive grains of the first grinding agent is less than a hardness of the grinding workpiece, and a hardness of abrasive grains of the second grinding agent is greater than the hardness of the grinding workpiece.

[0016] Optionally, in an embodiment of the present application, the grinding workpiece is a first workpiece.

[0017] The method further comprises:

[0018] obtaining a third surface topography image of a second workpiece under the first grinding agent;

[0019] obtaining a fourth surface topography image of the second workpiece under the second grinding agent;

[0020] wherein the hardness of the first grinding agent is greater than a hardness of the first workpiece, the hardness of the first workpiece is greater than a hardness of the second grinding agent, and the hardness of the second grinding agent is greater than a hardness of the second workpiece.

[0021] Optionally, in an embodiment of the present application, the obtaining of the first surface topography image of the grinding workpiece under the first grinding agent comprises:

[0022] obtaining first point cloud data of the grinding workpiece under the first grinding agent, and performing filtering processing on the first point cloud data to obtain first intervention data;

[0023] performing filling processing on the first intervention data to obtain first spatial reconstruction data;

[0024] generating the first surface topography image according to the first spatial reconstruction data;

[0025] The method further comprises:

[0026] obtain second point cloud data of the grinding workpiece under a second abrasive, and filter the second point cloud data to obtain second intervention data;

[0027] perform a filling processing on the second intervention data to obtain second spatial reconstruction data;

[0028] generate a second surface topography image according to the second spatial reconstruction data.

[0029] Optionally, in an embodiment of the present application, the surface deviation information includes first surface deviation data and second surface deviation data.

[0030] The processing of the topography information to obtain the surface deviation information of the grinding workpiece specifically includes:

[0031] obtaining first surface deviation data of the grinding workpiece under a first abrasive according to the first surface topography image;

[0032] obtaining second surface deviation data of the grinding workpiece under a second abrasive according to the second surface topography image.

[0033] Optionally, in an embodiment of the present application, the obtaining of the correlation information affecting the surface deviation of the grinding workpiece according to the surface deviation information specifically includes:

[0034] determining that the surface deviation of the grinding workpiece is a positive deviation characteristic according to the first surface deviation data;

[0035] determining that the surface deviation of the grinding workpiece is a negative deviation characteristic according to the second surface deviation data;

[0036] obtaining the correlation information affecting the surface deviation of the grinding workpiece according to the positive deviation characteristic, the negative deviation characteristic, and the hardness relationship of the first abrasive, the second abrasive and the grinding workpiece.

[0037] Optionally, in an embodiment of the present application, the determining of the target abrasive corresponding to the target workpiece according to the correlation information specifically includes:

[0038] obtaining the workpiece hardness of the target workpiece;

[0039] determining the target abrasive from a plurality of candidate abrasives according to the workpiece hardness, wherein the abrasive particle hardness of the target abrasive is less than the workpiece hardness.

[0040] The second aspect of the embodiment of the application further provides a grinding processing system based on surface skewness of a grinding workpiece, wherein the grinding processing system based on surface skewness of the grinding workpiece is applied to the grinding processing method based on surface skewness of the grinding workpiece in any of the above solutions; and the grinding processing system based on surface skewness of the grinding workpiece comprises:

[0041] a topography information acquisition module, configured to acquire topography information of the grinding workpiece under different grinding agents;

[0042] a skewness calculation module, configured to process the topography information to obtain surface skewness information of the grinding workpiece;

[0043] a hardness relationship and skewness correlation module, configured to obtain correlation information affecting the surface skewness of the grinding workpiece according to the surface skewness information, wherein the correlation information is a relationship between workpiece hardness and grinding agent abrasive hardness;

[0044] a grinding agent determination module, configured to determine a target grinding agent corresponding to a target workpiece according to the correlation information, so as to adopt the target grinding agent to perform grinding processing on the target workpiece.

[0045] The third aspect of the embodiment of the application further provides a terminal, wherein the terminal comprises a memory, a processor, and a grinding processing program based on surface skewness of a grinding workpiece stored in the memory and executable on the processor, and the grinding processing program based on surface skewness of the grinding workpiece implements the steps of the grinding processing method based on surface skewness of the grinding workpiece when executed by the processor.

[0046] The fourth aspect of the embodiment of the application further provides a computer readable storage medium, wherein the computer readable storage medium stores a grinding processing program based on surface skewness of a grinding workpiece, and the grinding processing program based on surface skewness of the grinding workpiece implements the steps of the grinding processing method based on surface skewness of the grinding workpiece when executed by a processor.

[0047] Beneficial effects: the application provides a grinding processing method, system, terminal and medium based on surface skewness of a grinding workpiece, the application determines the influence of the relationship between grinding agent abrasive hardness and workpiece hardness on the surface skewness of the grinding workpiece by analyzing topography graphs of test pieces under different grinding agents, adjusts the matching relationship between grinding agent particle hardness and workpiece hardness based on the hardness relationship, realizes adjustment of surface skewness parameters of a target workpiece, and further improves the grinding effect of the workpiece. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only represent some embodiments described in the present application, and for those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.

[0049] Figure 1 Flow chart of the preferred embodiment of the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0050] Figure 2 Surface morphology graph of YN10 hard alloy after white corundum grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0051] Figure 3 Surface morphology graph of YN10 hard alloy after green carbon grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0052] Figure 4 Surface morphology graph of YN10 hard alloy after 10 μm diamond grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0053] Figure 5 Surface morphology graph of YN10 hard alloy after 4 μm diamond grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0054] Figure 6 Ssk columnar graph of YN10 hard alloy after white corundum grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0055] Figure 7 Ssk columnar graph of YN10 after green carbon grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0056] Figure 8 Ssk columnar graph of YN10 hard alloy after diamond grinding with different particle sizes in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0057] Figure 9 Surface morphology graph of tin bronze after white corundum grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0058] Figure 10 Ssk columnar graph of tin bronze after white corundum grinding in the grinding processing method based on the surface deviation of the grinding workpiece in the present application;

[0059] Figure 11A two-dimensional surface morphology diagram of tin bronze after green carbon grinding in the grinding processing method based on surface skewness of a grinding workpiece of the application;

[0060] Figure 12 A Ssk columnar diagram of tin bronze after green carbon grinding in the grinding processing method based on surface skewness of a grinding workpiece of the application;

[0061] Figure 13 A surface morphology diagram of tin bronze after 10 μm diamond grinding in the grinding processing method based on surface skewness of a grinding workpiece of the application;

[0062] Figure 14 A surface morphology diagram of tin bronze after 4 μm diamond grinding in the grinding processing method based on surface skewness of a grinding workpiece of the application;

[0063] Figure 15 A Ssk columnar diagram of tin bronze after diamond grinding with different particle sizes in the grinding processing method based on surface skewness of a grinding workpiece of the application;

[0064] Figure 16 A structure diagram of a preferred embodiment of the grinding processing system based on surface skewness of a grinding workpiece of the application;

[0065] Figure 17 A structure diagram of a preferred embodiment of the terminal of the application.

[0066] Explanation of reference signs:

[0067] 100, morphology information acquisition module; 200, skewness calculation module; 300, hardness relationship and skewness correlation module; 400, grinding agent determination module. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical scheme and effect of the application more clear and definite, the technical scheme in the embodiments of the application will be described clearly and completely below in combination with the drawings in the embodiments of the application. The described embodiments are only possible technical implementations of the application, not all possible implementations. Based on the embodiments in the application, those skilled in the art can certainly combine the embodiments of the application to obtain other embodiments without creative labor, and these embodiments are also within the protection scope of the application.

[0069] Firstly, the terms involved in the embodiments of the application are introduced:

[0070] YN10 hard alloy (WC-Ni): tungsten carbide-nickel-based hard alloy (WC-Ni is a tungsten carbide-nickel-based composite material);

[0071] Tin bronze (CuSn 12Ni2): copper-based alloy (standard bronze brand) containing 12% tin and 2% nickel;

[0072] White corundum (Al2O3): alumina-based abrasive;

[0073] Green carbon (SiC): silicon carbide-based abrasive;

[0074] Diamond: artificial diamond abrasive.

[0075] In the related art, the quality of the ground surface is usually characterized by surface topography parameters. The surface topography parameters are usually expressed by roughness parameters, and the most commonly known and used roughness parameter is the arithmetic mean deviation Ra. However, it cannot completely describe the contact surface, because completely different surfaces can have similar or even identical average surface roughness values, and vice versa. If the parameter is evaluated on a three-dimensional surface, the parameter is denoted by a capital letter S. The research results of three-dimensional surface topography characterization and parameters have formed international standards, which are mainly divided into height parameters, spatial parameters, hybrid parameters, material ratio functions and related parameters, layered surface parameters, area material probability parameters, volume parameters, multi-scale geometric parameters and functions. The three-dimensional surface topography parameters related to the quality of the ground surface are mainly the arithmetic mean height Sa, the root mean square deviation of surface height Sq, the kurtosis of surface height distribution Sku, and the skewness of surface height distribution Ssk. The arithmetic mean height Sa of the surface represents the average value of the absolute value of the surface height in the sampling area, and is used to describe the overall roughness of the surface. The root mean square deviation of surface height Sq represents the root mean square value of the surface height in the sampling area, and reflects the dispersion degree of the surface height. The kurtosis of surface height distribution Sku is used to describe the sharpness of the surface height distribution. The skewness of surface height distribution Ssk is used to describe the asymmetry of the surface height distribution, and is sensitive to the occasional deep valleys or high peaks. Zero skewness reflects the symmetric height distribution, and positive and negative skewness respectively describes the surface with high peaks and filled valleys, and the surface with deep grooves and lack of peaks.

[0076] A large number of studies have been conducted to explore the influence of roughness on the tribological properties and fatigue life of contact surfaces. Currently, many studies on surface topography focus on the Ra (surface arithmetic average roughness parameter, which is the average of the absolute values of the height values relative to the surface midline) and Rq (surface root mean square roughness parameter, which is the average of the square roots of the sum of the squares of the height values relative to the surface midline) of the lapped surface formed by lapping, and emphasize the influence of these parameters on the performance of various equipment. However, the skewness of the lapped surface height distribution cannot be ignored, as it also has a certain degree of influence on the performance of various mechanical equipment. Further research and development in this area are needed. Some researchers have studied the influence of surface roughness parameters on mixed lubrication characteristics through modeling and found that skewness and kurtosis have a great influence on the contact parameters of mixed lubrication. Some researchers have studied the influence of skewness and kurtosis of Gaussian distributed surfaces on the static friction coefficient under different roughness conditions. Based on this, some researchers have set the same root mean square value to observe and analyze the correlation between skewness, kurtosis, and surface dynamic friction coefficient, and have clarified the influence of height distribution parameters on surface friction performance, revealing that the standard roughness parameters Sa and Sq are not sufficient to fully describe the tribological properties of contact surfaces, and that the skewness and kurtosis parameters have a stronger correlation with friction performance. Surfaces with high Sku values and negative Ssk values tend to reduce friction under dry friction and lubrication conditions. To reveal the mapping relationship between height statistical distribution parameters and friction and wear performance, some researchers have studied the correlation between height distribution parameters and surface bearing area ratio, established a relationship between bearing area ratio and friction coefficient in dry friction and lubrication friction, and explained the influence mechanism of height distribution parameters on friction and wear. In terms of the correlation between contact performance and roughness, some researchers have analyzed the influence of roughness parameters on contact performance using statistical correlation theory, neural networks, and sensitivity analysis methods.

[0077] Current research generally considers lapping as a material removal process, which usually produces a negative skewness surface. In previous lapping experiments, it was found that the machined surface has a stable and reproducible positive skewness parameter. To explore the causes of this phenomenon, green carbon, white corundum, and diamond were used as abrasives in three kinds of lapping fluids to lapping WC-Ni (YN10) hard alloy and tin bronze (CuSn 12 Ni2). The surface topography, composition changes of the workpiece after lapping were characterized by white light interferometer, scanning electron microscope and energy dispersive spectrometer, and the relative relationship between the lapping agent and the workpiece hardness was revealed as the key to this phenomenon.

[0078] In view of the problem of poor workpiece grinding effect when different grinding agents are selected for grinding processing of different grinding workpieces, the application determines the influence of the relationship between the hardness of the grinding agent particles (grains) and the hardness of the workpiece on the surface skewness of the grinding workpiece by analyzing the morphology of the test piece (grinding workpiece) under different grinding agents, so as to adjust the matching relationship between the hardness of the grinding agent particles and the hardness of the workpiece based on the hardness relationship, realize the adjustment of the surface skewness parameter of the target workpiece, and further improve the workpiece grinding effect. The application explores the causes of the stable and reproducible positive skewness parameter on the grinding processing surface, provides a theoretical basis for the optimization of the grinding process, so as to better control the surface quality of the grinding processing, and improve the mechanical equipment contact mechanics performance and tribology performance.

[0079] The application selects three materials with different properties, namely white corundum, green carbon and diamond, as grinding agents, and prepares them into grinding liquids, which are applied to the grinding processing of two typical engineering materials, YN10 hard alloy (WC-Ni) (first workpiece) and tin bronze (CuSn12Ni2) (second workpiece). The surface morphology and composition change of the workpiece after grinding are characterized by means of white light interference morphology instrument, scanning electron microscope (SEM, Scanning Electron Microscope) and energy dispersive spectrometer (EDS, Energy Dispersive X-ray Spectroscopy).

[0080] The surface hardness relationship is known as: diamond > YN10 > green carbon > white corundum > tin bronze. The experimental results show that in the process of grinding YN10 hard alloy by using white corundum grinding liquid (first grinding agent) and green carbon grinding liquid (first grinding agent), the skewness parameter of the processed surface is stable and positive, and this phenomenon has good repeatability. In contrast, when diamond grinding liquid (second grinding agent) is used for grinding YN10 hard alloy, or the above three kinds of grinding liquids are used for grinding tin bronze, the skewness parameter of the obtained processed surface is negative. Other surface morphology parameters, such as arithmetic mean height (Sa) and root mean square deviation (Sq), have a weak negative correlation with the hardness of the grinding agent, and the SEM and EDS results of the processed surfaces further verify the influence of relative hardness on the generation of positive / negative skew surfaces. That is, the relative relationship between the hardness of the grinding agent and the hardness of the workpiece is the key to the generation of positive / negative skew surfaces. That is, when the hardness of the grinding agent is lower than the hardness of the workpiece, the grinding surface skewness tends to be positive; otherwise, it is more likely to produce a negative skew surface.

[0081] The technical solutions of the application will be described in detail below with specific examples. The following specific examples can be combined with each other, and the same or similar concepts or processes may not be described in detail in some examples.

[0082] The grinding processing method based on the surface skewness of the grinding workpiece provided by the preferred embodiment of the application comprises the following steps, as shown in Figure 1

[0083] In step S101, the topography information of the grinding workpiece under different grinding agents is obtained.

[0084] Specifically, before the surface topography measurement process, the grinding test of the grinding workpiece is performed. The test material of the application is selected as YN10 hard alloy (WC-Ni, φ30 mm x 10 mm) and tin bronze (CuSn 12 Ni2, φ30 mm x 10 mm). The grinding test adopts three kinds of grinding liquid, which are white corundum grinding liquid (second grinding agent), green carbon grinding liquid (first grinding agent) and diamond grinding liquid. The white corundum grinding liquid (second grinding agent) is prepared by white corundum and grinding oil, and the green silicon carbide grinding liquid (first grinding agent) is prepared by green carbon and grinding oil. As can be seen from the enlarged image, there is no significant difference in the shape of the particles of various grinding liquids.

[0085] The grinding machine used in this test belongs to a free abrasive machining equipment. In the grinding process, with the addition, flow of the grinding liquid and the relative movement between the test piece and the grinding tool, the free abrasive in the grinding liquid is guided into the machining area, and under the load of the counterweight above the test piece, the surface of the test piece is ground, and then the free abrasive and debris are discharged with the grinding liquid.

[0086] The surface mechanical grinding treatment is performed on the YN10 hard alloy sample (grinding workpiece, first workpiece) with a diameter of φ30 mm and a thickness of 10 mm and the tin bronze sample on the grinding machine. The grinding treatment time is 20 min, 3 groups of repeated tests are performed for each grinding liquid, the load is 3 kg, the rotating speed is 20 r / min, and the dripping speed of the peristaltic pump for adding the grinding liquid is 3.00 mL / min. After the mechanical grinding, the sample is cleaned in the ultrasonic cleaning machine for 10 min with anhydrous ethanol as the cleaning agent, and then the surface topography measurement of the surface mechanical grinding test piece is completed by using the white light interference topography instrument.

[0087] The application determines the influence of the relationship between the hardness of the grinding workpiece and the hardness of the abrasive particles on the processed surface Ssk, and then selects the grinding agent according to the determined hardness relationship.

[0088] ​In a possible implementation, the topography information includes a first surface topography image and a second surface topography image. The first surface topography image of the grinding workpiece under the first grinding agent is acquired; the second surface topography image of the grinding workpiece under the second grinding agent is acquired; wherein the hardness of the abrasive particles of the first grinding agent is less than the hardness of the grinding workpiece, and the hardness of the abrasive particles of the second grinding agent is greater than the hardness of the grinding workpiece.

[0089] It can be understood that the first grinding agent is one of white corundum grinding agent or green carbon grinding agent, and both of them can be used for grinding the workpiece.

[0090] Specifically, in the process of processing the grinding workpiece by using the first grinding agent (white corundum grinding agent), in order to improve the accuracy and reliability of data analysis, threshold filtering processing is performed on the surface height data, and the abnormal values in the descending order of height distribution are removed. The first 0.005%. This operation aims to eliminate the noise interference caused by a small number of abnormal peaks, so as to more accurately represent the real characteristics of the surface topography. The original image will produce NM points in the measurement process. NM points (i.e. Non Measured Points) refer to non-measured points, which can also be called data points or missing points. These points refer to positions that cannot obtain effective measurement data due to various reasons when collecting data. NM points are usually used to represent the blank, invalid area or area beyond the measurement range of the device. The NM points are filled by using smooth interpolation, that is, the missing data is filled by fitting adjacent points. The processed surface topography is shown in Figure 2 Figure 2 The surface topography of YN10 hard alloy (grinding workpiece) after white corundum grinding is shown, and the color gradient reflects the height distribution at different positions, Figure 2 (a) of FIG. 1 shows a three-dimensional topography map, Figure 2 (b) of FIG. 1 shows a two-dimensional topography map.

[0091] In the process of processing the grinding workpiece by using another first grinding agent (green carbon grinding agent), see Figure 3 , Figure 3 The surface topography of YN10 hard alloy after green carbon grinding is shown, and the color gradient represents different height values. The surface data is processed in a similar manner as mentioned above, threshold filtering processing is performed, and the NM points are removed, Figure 3 (a) of FIG. 2 shows a three-dimensional topography map, Figure 3 (b) of FIG. 2 shows a two-dimensional topography map.

[0092] In the process of processing the grinding workpiece by using the second grinding agent (green carbon grinding agent), see Figure 4 and Figure 5 , Figure 4 ​The surface morphology of YN10 hard alloy after 10 μm diamond grinding is shown, and the color gradient represents different height values, Figure 5 The surface morphology of YN10 hard alloy after 4 μm diamond grinding is shown, and the color gradient represents different height values, Figure 4 (a) in FIG. 1 represents a three-dimensional morphology map, Figure 4 (b) in FIG. 1 represents a two-dimensional morphology map, Figure 5 (a) in FIG. 2 represents a three-dimensional morphology map, Figure 5 (b) in FIG. 2 represents a two-dimensional morphology map. The surface data is processed similarly as mentioned above, threshold filtering processing is performed, and NM points are removed.

[0093] It should be noted that the present application carries out three groups of experiments, respectively using white corundum, green carbon and diamond to grind YN10 hard alloy, and at the same time, a control group experiment is set, that is, using white corundum, green carbon and diamond to grind tin bronze, and each experiment is carried out three times.

[0094] In a possible implementation, first point cloud data of the grinding workpiece under the first grinding agent is obtained, and the first point cloud data is filtered to obtain first intervention data; the first intervention data is filled to obtain first spatial reconstruction data; and a first surface morphology image is generated according to the first spatial reconstruction data. Second point cloud data of the grinding workpiece under the second grinding agent is obtained, and the second point cloud data is filtered to obtain second intervention data; the second intervention data is filled to obtain second spatial reconstruction data; and a second surface morphology image is generated according to the second spatial reconstruction data.

[0095] Specifically, the workpiece surface is scanned by a white light interference profiler to obtain three-dimensional point cloud data containing X / Y position coordinates and Z height values. The color gradient maps the height distribution. Then, noise is removed, the height data is sorted in descending order, and the first 0.005% of extreme high value points are removed. Then, missing value filling is performed, and the processed height data is mapped to a color gradient to directly show the surface peak and valley distribution.

[0096] In step S102, the morphology information is processed to obtain surface skewness information of the grinding workpiece.

[0097] In a possible implementation, the surface skewness information includes first surface skewness data and second surface skewness data. The first surface skewness data of the grinding workpiece under the first grinding agent is obtained according to the first surface morphology image; and the second surface skewness data of the grinding workpiece under the second grinding agent is obtained according to the second surface morphology image.

[0098] It can be understood that the first surface morphology image includes morphology images at different grinding times.

[0099] Specifically, for the processing of YN10 hard alloy by white corundum abrasive, see Figure 6 , the abscissa represents the grinding time, and the ordinate represents the Ssk value. Each grinding time is tested for 9 sample points, so Figure 6 Each color in the columnar data in Figure 6 It can be seen that the processed surface generally exhibits positive skewness after using white corundum abrasive to grind YN10 hard alloy, and the Ssk value does not change significantly with the extension of grinding time. Since the hardness of white corundum abrasive is lower than that of YN10 hard alloy, it can be concluded that when using an abrasive with a hardness lower than that of YN10 hard alloy to grind YN10 hard alloy, the processed surface will exhibit positive skewness.

[0100] For the processing of YN10 hard alloy by green carbon abrasive, see Figure 7 , the abscissa represents the grinding time, and the ordinate represents the Ssk value. Each grinding time is tested for 9 sample points, so Figure 7 Each color in the columnar data in Figure 7 It can be seen that the processed surface generally exhibits positive skewness after using green carbon abrasive to grind YN10 hard alloy, and the Ssk value does not change significantly with the extension of grinding time. Since the hardness of green carbon is lower than that of YN10 hard alloy, it is further verified that when using an abrasive with a hardness lower than that of YN10 hard alloy to grind YN10 hard alloy, the processed surface will exhibit positive skewness.

[0101] For the processing of YN10 hard alloy by diamond abrasive, see Figure 8 , Figure 8 (a) in Figure 8 (b) is a column chart of diamond particle size 4 μm. The abscissa represents the grinding time, and the ordinate represents the Ssk value. It can be seen from the figure that the processed surface generally exhibits negative skewness after using diamond abrasive to grind YN10 hard alloy. When using 10 μm diamond, the Ssk value increases with the increase of grinding time, and the negative skew effect is enhanced. When using 4 μm diamond, the Ssk value slightly decreases with the increase of grinding time.

[0102] Since the hardness of diamond abrasive particles is higher than that of YN10 hard alloy, it can be concluded that grinding YN10 hard alloy with an abrasive with a hardness greater than YN10 hard alloy will result in negative skew of the processed surface.

[0103] Table 1: Positive and negative values of average skewness of YN10 hard alloy ground by three kinds of abrasive

[0104]

[0105] According to Figure 6 to Figure 8 From the analysis of the data in Table 1, it can be concluded that different types of abrasive will significantly affect the positive or negative change of Ssk value of the machined surface. It is preliminarily concluded that when the hardness of the abrasive is higher than that of the machined material YN10 cemented carbide, the surface topography after machining tends to have a negative bias feature. This means that when a harder abrasive acts on a softer material, the pit structure in the machined surface topography dominates. This conclusion is highly consistent with the results of intuitive physical analysis, and can be reasonably explained by the material removal and deformation mechanism.

[0106] From the mechanism point of view, when the hardness of the abrasive is significantly higher than that of the machined material, the local contact stress generated during the contact process is higher. Because the harder abrasive particles have a larger elastic modulus, the impact and cutting effect on the material surface is stronger, and the machined material will have a large plastic deformation or even micro cutting removal in the local area. This machining method is easy to form deep concave structure on the surface, resulting in a negative bias Ssk value of the surface topography. This negative bias feature indicates that the surface is mainly dominated by pits, and the protruding area is relatively small.

[0107] In addition, this phenomenon can also be explained in combination with the theory of abrasive wear. In the grinding process, the harder abrasive particles have stronger removal ability due to their higher hardness and strength, so that the plastic flow and shear removal of the material are mainly used for the machining surface, and the uniform grinding smoothing effect is less likely to occur. The relatively soft material is more likely to form local concave areas under the action of high stress, which is consistent with the negative bias characteristics of Ssk in the experimental results.

[0108] In a possible implementation, the grinding workpiece is a first workpiece. A third surface topography image of a second workpiece ground under a first abrasive is obtained; a fourth surface topography image of the second workpiece ground under a second abrasive is obtained; wherein the hardness of abrasive particles of the first abrasive is greater than the hardness of the first workpiece, the hardness of the first workpiece is greater than the hardness of abrasive particles of the second abrasive, and the hardness of abrasive particles of the second abrasive is greater than the hardness of the second workpiece.

[0109] Specifically, in order to avoid the particularity of YN10 cemented carbide material, a similar grinding experiment is performed using tin bronze.

[0110] Figure 9 The surface topography of tin bronze (second workpiece) after white corundum grinding is shown, and the color gradient represents different height values. The surface data is processed as mentioned above, and the NM points are removed. Figure 9(a) represents a three-dimensional topography map, and (b) represents a two-dimensional topography map. Figure 10 In FIG. 6, the horizontal axis represents the grinding time, and the vertical axis represents the Ssk value. Each grinding time is tested for 6 sample points, so Figure 10 In FIG. 7, the columnar data corresponding to each color represents the results of 6 repeated tests. From Figure 10 As can be seen from FIG. 7, after the tin bronze is ground using the white corundum grinding fluid, the machined surface generally exhibits a negative bias characteristic, and the Ssk value does not change significantly as the grinding time is prolonged. Since the hardness of the white corundum grinding particles is higher than that of the tin bronze, it is proved that grinding the tin bronze with a grinding fluid having a hardness higher than that of the tin bronze will cause the machined surface to exhibit a negative bias.

[0111] Figure 11 FIG. 8 shows the surface topography of the tin bronze after green carbon grinding, and the color gradient represents different height values. The surface data is processed similarly to the aforementioned, threshold filtering is performed, and the NM points are removed. Figure 12 In FIG. 10, the horizontal axis represents the grinding time, and the vertical axis represents the Ssk value. Each grinding time is tested for 6 sample points, so Figure 12 In FIG. 11, the columnar data corresponding to each color represents the results of 6 repeated tests. From Figure 12 As can be seen from FIG. 11, after the tin bronze is ground using the green carbon grinding fluid, the machined surface generally exhibits a negative bias characteristic, and the Ssk value does not change significantly as the grinding time is prolonged. Since the hardness of the green carbon grinding particles is higher than that of the tin bronze, it is proved that grinding the tin bronze with a grinding fluid having a hardness higher than that of the tin bronze will cause the machined surface to exhibit a negative bias.

[0112] Figure 13 and Figure 14 FIG. 12 shows the surface topography of the tin bronze after diamond grinding, and the color gradient represents different height values, Figure 13 In FIG. 13, the particle size of the diamond is 10 μm, Figure 14 In FIG. 14, the particle size of the diamond is 4 μm. The surface data is processed similarly to the aforementioned, threshold filtering is performed, and the NM points are removed. Figure 15 In FIG. 15, (a) is the Ssk columnar graph of the tin bronze ground by the diamond 10 μm particle size, Figure 15 In FIG. 15, (b) is the Ssk columnar graph of the tin bronze ground by the diamond 4 μm particle size; the horizontal axis represents the grinding time, and the vertical axis represents the Ssk value. Each grinding time is tested for 6 sample points, so Figure 15 In FIG. 16, the columnar data corresponding to each color represents the results of 6 repeated tests. From Figure 15As can be seen from the table, the tin bronze is ground by the diamond grinding fluid, and the processing surface generally shows negative bias characteristics, and the Ssk value does not change significantly with the extension of the grinding time. Since the hardness of the diamond grinding particles is higher than that of the tin bronze, it is proved that the grinding of the tin bronze by the grinding fluid with a hardness greater than that of the tin bronze will cause the negative bias of the processing surface.

[0113] The hardness of green carbon, white corundum and diamond is greater than that of tin bronze. The processing surface obtained by grinding tin bronze with green carbon, white corundum and diamond as grinding agent shows negative bias characteristics.

[0114] In step S103, according to the surface bias information, the correlation information affecting the surface bias of the ground workpiece is obtained, wherein the correlation information is the relationship between the hardness of the workpiece and the hardness of the abrasive particles.

[0115] In a possible implementation, according to the first surface bias data, it is determined that the surface bias of the ground workpiece is positive bias characteristics; according to the second surface bias data, it is determined that the surface bias of the ground workpiece is negative bias characteristics; and according to the positive bias characteristics, the negative bias characteristics and the hardness relationship of the first grinding agent, the second grinding agent and the ground workpiece, the correlation information affecting the surface bias of the ground workpiece is obtained.

[0116] It is worth noting that in tribology, negative bias of the grinding part means that the surface topography is dominated by pits, which can improve lubrication performance, improve sealing performance, improve wear resistance and have important influence in many aspects. It is known through experimental observation that the relative relationship between the hardness of the grinding agent and the hardness of the workpiece is the key to produce positive / negative bias surface. That is, when the hardness of the grinding agent is lower than the hardness of the workpiece, the grinding surface bias tends to be positive; otherwise, it is more likely to produce a negative bias surface. The scheme of the present application is based on the theory of tribology, uses the method of controlling variables, strictly controls the factors such as drop speed, grinding load and time, only changes the relative hardness, uses the white light interferometer to obtain data, and the results are real and reliable and can be repeated. The present application fills the research blank in the field, not only verifies the importance of hardness matching in the selection of grinding fluid, but also provides a theoretical basis for the optimization of grinding process.

[0117] In step S104, according to the correlation information, a target grinding agent corresponding to a target workpiece is determined, so as to grind and process the target workpiece by using the target grinding agent.

[0118] In a possible implementation, the hardness of the target workpiece is obtained; and the target grinding agent is determined from a plurality of to-be-selected grinding agents according to the hardness of the workpiece, wherein the hardness of abrasive particles of the target grinding agent is less than the hardness of the workpiece.

[0119] Specifically, in actual processing, in order to obtain a specific surface topography feature (such as positive or negative deviation), precise control can be achieved by adjusting the matching relationship between the hardness of the grinding fluid and the hardness of the processed material. For example, in order to achieve a negative deviation surface, a grinding medium with a hardness significantly higher than that of the workpiece material can be preferentially selected. Such targeted selection will help improve processing efficiency and optimize surface topography quality.

[0120] Secondly, the grinding processing system based on the surface deviation of the ground workpiece according to the embodiment of the application is described with reference to the accompanying drawings, which is applied to the grinding processing method based on the surface deviation of the ground workpiece in any of the above-mentioned schemes.

[0121] Figure 16 is the structural diagram of the grinding processing system based on the surface deviation of the ground workpiece according to the embodiment of the application.

[0122] As Figure 16 shown, the grinding processing system based on the surface deviation of the ground workpiece includes a topography information acquisition module 100, a deviation calculation module 200, a hardness relationship and deviation correlation module 300, and a grinding agent determination module 400.

[0123] Specifically, the topography information acquisition module 100 is configured to acquire topography information of a ground workpiece under different grinding agents;

[0124] The deviation calculation module 200 is configured to process the topography information to obtain surface deviation information of the ground workpiece;

[0125] The hardness relationship and deviation correlation module 300 is configured to obtain correlation information affecting the surface deviation of the ground workpiece according to the surface deviation information, wherein the correlation information is the relationship between the hardness of the workpiece and the hardness of the grinding agent abrasive;

[0126] The grinding agent determination module 400 is configured to determine a target grinding agent corresponding to a target workpiece according to the correlation information, so as to adopt the target grinding agent to process the target workpiece.

[0127] Figure 17 The structure diagram of the terminal provided by the embodiment of the application is provided. The terminal can include:

[0128] The terminal can include a memory 501, a processor 502, and a computer program stored in the memory 501 and executable on the processor 502.

[0129] When the processor 502 executes the program, the grinding processing method based on the surface deviation of the ground workpiece provided in the above-mentioned embodiments is implemented.

[0130] Further, the terminal further includes:

[0131] The communication interface 503 is configured to communicate between the memory 501 and the processor 502.

[0132] The memory 501 is configured to store a computer program executable in the processor 502.

[0133] The memory 501 can include a high-speed RAM memory, and can further include a non-volatile memory, for example, at least one disk memory.

[0134] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 17 Only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0135] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can complete communication between each other through an internal interface.

[0136] The processor 502 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement one or more embodiments of the present application.

[0137] The embodiment also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above-mentioned polishing processing method based on surface deviation of a polishing workpiece.

[0138] An embodiment of the present application provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the above-mentioned polishing processing method based on surface deviation of a polishing workpiece. Figure 1 The above-mentioned polishing processing method based on surface deviation of a polishing workpiece is provided by any one of the corresponding embodiments.

[0139] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0140] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features, and do not imply or connote relative importance or a specific order of categorization thereof. Accordingly, features described as "first" or "second" can be explicitly or implicitly included in at least one of the features. In the description of the application, the meaning of "N" is at least two, for example, two, three, etc., unless explicitly specified otherwise.

[0141] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes and methods described can be executably encoded on a machine- readable medium in a data signal embodied in an electromagnetic signal, a wireless signal, or a propagated signal.

[0142] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of instructions to implement logic functions, and can be embodied in any computer-readable storage medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable storage medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable storage medium can be a computer- readable storage medium that can be any media that can be used to store the desired program instructions in a form readable by a computer. More specific examples (a non-exhaustive list) of the computer-readable storage medium include the following: an electrical connection having one or more wires (electrical, optical, and / or other communications medium), a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). In addition, the computer-readable storage medium can even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for example, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

[0143] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or their combinations can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0144] Those of skill in the art will understand that the steps carried out by the above-mentioned embodiments of the method can be implemented by programs instructing the relevant hardware, and the programs can be stored in a computer-readable storage medium. When the programs are executed, they include one or a combination of the steps of the method embodiments.

[0145] In addition, each of the function units in each of the embodiments of the present application can be integrated in one processing module, or each unit can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software function module. When the integrated module is realized in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0146] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

[0147] It should be understood that the application of the present application is not limited to the above examples, and those skilled in the art can improve or change the above examples according to the above description, and all these improvements and changes should belong to the protection scope of the claims attached to the present application.

[0148] Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A grinding process based on the surface deviation of a workpiece, characterized in that, The grinding process method based on the surface deviation of the workpiece includes: Obtain morphological information of the workpiece after grinding with different abrasives; The morphology information is processed to obtain the surface deviation information of the grinding workpiece; Based on the surface deflection information, correlation information affecting the surface deflection of the workpiece is obtained, wherein the correlation information is the relationship between the workpiece hardness and the hardness of the abrasive particles in the abrasive. Based on the associated information, a target abrasive is determined for the target workpiece, and the target abrasive is used to perform grinding on the target workpiece. The morphology information includes a first surface morphology image and a second surface morphology image; The acquisition of morphological information of the workpiece under different abrasives specifically includes: Acquire a first surface morphology image of the workpiece after grinding with a first abrasive; Acquire an image of the second surface morphology of the workpiece after grinding with a second abrasive; Wherein, the abrasive hardness of the first abrasive is less than the hardness of the workpiece being ground, and the abrasive hardness of the second abrasive is greater than the hardness of the workpiece being ground; The acquisition of the first surface morphology image of the workpiece after grinding with the first abrasive specifically includes: First point cloud data of the workpiece being ground under the first abrasive is obtained, and the first point cloud data is filtered to obtain first intervention data; The first intervention data is filled in to obtain the first spatial reconstruction data; A first surface topography image is generated based on the first spatial reconstruction data; The acquisition of the second surface morphology image of the workpiece after grinding with the second abrasive specifically includes: The second point cloud data of the workpiece being ground under the second abrasive is obtained, and the second point cloud data is filtered to obtain the second intervention data; The second intervention data is filled in to obtain the second spatial reconstruction data; A second surface topography image is generated based on the second spatial reconstruction data.

2. The grinding method based on the surface deviation of the workpiece according to claim 1, characterized in that, The workpiece to be ground is the first workpiece; The step of obtaining morphological information of the workpiece after grinding with different abrasives further includes: Obtain a third surface morphology image of the second workpiece after grinding with the first abrasive; Obtain a fourth surface morphology image of the second workpiece after grinding with the second abrasive; Wherein, the abrasive hardness of the first abrasive is greater than the hardness of the first workpiece, the hardness of the first workpiece is greater than the abrasive hardness of the second abrasive, and the abrasive hardness of the second abrasive is greater than the hardness of the second workpiece.

3. The grinding method based on the surface deviation of the workpiece according to claim 2, characterized in that, The surface skewness information includes first surface skewness data and second surface skewness data; The process of processing the morphology information to obtain the surface deviation information of the polished workpiece specifically includes: Based on the first surface morphology image, the first surface deviation data of the workpiece under the first abrasive is obtained; Based on the second surface morphology image, the second surface deviation data of the workpiece under the second abrasive is obtained.

4. The grinding method based on the surface deviation of the workpiece according to claim 3, characterized in that, The step of obtaining the correlation information affecting the surface deviation of the grinding workpiece based on the surface deviation information specifically includes: Based on the first surface deflection data, the surface deflection of the grinding workpiece is determined to be positive deflection characteristic; Based on the second surface deflection data, the surface deflection of the workpiece being ground is determined to be negative deflection characteristic; Based on the positive bias characteristic, the negative bias characteristic, and the hardness relationship between the first abrasive, the second abrasive, and the workpiece being ground, correlation information affecting the surface bias of the workpiece being ground is obtained.

5. The grinding method based on the surface deviation of the workpiece according to claim 4, characterized in that, The step of determining the target abrasive corresponding to the target workpiece based on the associated information specifically includes: Obtain the workpiece hardness of the target workpiece; A target abrasive is determined from a variety of candidate abrasives based on the workpiece hardness, wherein the abrasive hardness of the target abrasive is less than the workpiece hardness.

6. A grinding system based on the surface deviation of a workpiece, characterized in that, The grinding system based on the surface deviation of the workpiece is applied to the grinding method based on the surface deviation of the workpiece as described in any one of claims 1-5; The grinding system based on the surface deviation of the workpiece includes: The morphology information acquisition module is used to acquire the morphology information of the workpiece under different abrasives during grinding. The skewness calculation module is used to process the topography information to obtain the surface skewness information of the grinding workpiece; The hardness relationship and skewness correlation module is used to obtain correlation information affecting the surface skewness of the grinding workpiece based on the surface skewness information, wherein the correlation information is the relationship between the hardness of the workpiece and the hardness of the abrasive particles in the abrasive. The abrasive determination module is used to determine the target abrasive corresponding to the target workpiece based on the associated information, so as to perform abrasive grinding on the target workpiece using the target abrasive.

7. A terminal, characterized in that, The terminal includes: a memory, a processor, and a grinding process program based on the surface deviation of the grinding workpiece stored in the memory and executable on the processor. When the grinding process program based on the surface deviation of the grinding workpiece is executed by the processor, it implements the steps of the grinding process method based on the surface deviation of the grinding workpiece as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a grinding process program based on the surface deviation of the workpiece, which, when executed by a processor, implements the steps of the grinding process method based on the surface deviation of the workpiece as described in any one of claims 1-5.

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