Grinding wheel reliability lossless prediction method and related device

Abstract

The invention provides a grinding wheel reliability lossless prediction method and a related device, and relates to the technical field of equipment detection. Judging whether the bonding strength of the metal coating of the grinding wheel and the base body is qualified or not in advance, judging whether the metal coating of the inspection area has defects or not, judging whether the surface thickness of the coating of the inspection area is qualified or not, judging whether the number of abrasive particles on the surface of the coating of the inspection area is qualified or not, and judging whether the protruding height of the abrasive particles of the inspection area is qualified or not; and when the judgment is passed, the grinding wheel is qualified and can be put into use. According to the scheme, unqualified grinding wheels can be quickly screened. And the problem that the machining efficiency and the machining quality are affected due to frequent replacement of the grinding wheel during machining caused by quality fluctuation of the finished grinding wheel during use is effectively solved.

Description

Technical Field

[0001] The invention relates to the technical field of equipment detection, and in particular to a nondestructive prediction method for grinding wheel reliability and a related device. Background Art

[0002] Cubic Boron Nitride (CBN) electroplated grinding wheel is a grinding wheel made of super-hard abrasive cubic boron nitride as abrasive grains and electroplated metal coating as a binder. With its excellent properties such as high wear resistance, high thermal stability, and strong chemical inertness, it is widely used in the field of precision grinding of difficult-to-process materials such as nickel-based high-temperature alloys and titanium alloys.

[0003] The production process of CBN electroplated grinding wheels is based on the principle of electrochemistry. In an electrolyte solution containing metal salts, with the help of a DC power supply, a metal layer is formed on the surface of the base material (cathode). CBN abrasives are deposited on the metal coating to form the working layer of the grinding wheel, which directly participates in the grinding process. In the electroplating process of the grinding wheel, it is necessary to strictly control key process parameters such as temperature, pH value and cathode current density, and strictly implement important process steps such as oil removal and corrosion activation, so as to obtain a uniform, dense and well-bonded metal coating to meet the needs of various precision processing.

[0004] The grinding process of difficult-to-machine materials has high grinding temperatures, large grinding forces, and the grinding wheel is very easy to passivate. The quality of the grinding wheel directly affects the surface integrity of the workpiece. However, in the production process of electroplated grinding wheels, especially in the development of small batches of grinding wheels, producers often choose process parameters based on experience, and there are cases where process steps are not executed in place, resulting in unstable product quality and poor consistency of products in the same batch. During use, it not only affects the surface quality of the workpiece, but also affects the service life of the grinding wheel. Frequent replacement of grinding wheels reduces grinding production efficiency and increases processing costs. Therefore, before using the grinding wheel, without destroying the grinding wheel, predicting the reliability of the grinding wheel and promptly eliminating the grinding wheel whose service life cannot reach the expected level is of great significance for guiding the production process, improving production efficiency, and ensuring product quality. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a non-destructive prediction method and related device for the reliability of a grinding wheel, so as to predict the reliability of the grinding wheel and timely detect the grinding wheel with unqualified quality.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0007] A nondestructive prediction method for grinding wheel reliability, comprising:

[0008] Determine whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified;

[0009] Capturing an image of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image, wherein the inspection area image is a three-dimensional surface topography image of the inspection area;

[0010] Based on the inspection area image, determining whether the metal coating of the inspection area has defects;

[0011] Based on the inspection area image, judging whether the surface thickness of the coating in the inspection area is qualified;

[0012] Based on the inspection area image, determining whether the number of abrasive particles on the coating surface of the inspection area is qualified;

[0013] Based on the inspection area image, judging whether the protrusion height of the abrasive particles in the inspection area is qualified;

[0014] When the bonding strength, defects, coating surface thickness, the number of abrasive grains on the coating surface, and the protruding height of abrasive grains in the inspection area are all judged to be passed, a prompt message indicating that the grinding wheel to be inspected is qualified is output.

[0015] Optionally, in the above-mentioned nondestructive prediction method of grinding wheel reliability, the step of judging whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified comprises:

[0016] Adjust the angle of the file so that the angle between the file and the coating surface of the inspection area of ​​the grinding wheel to be inspected is a preset angle;

[0017] Controlling the direction of the file from the grinding wheel base to the metal coating to file the edge of the inspection area;

[0018] Capturing images of the agitation position, and judging whether the coating is lifted or detached at the agitation position based on the image acquisition results;

[0019] If the coating is lifted or detached, it is determined that the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is unqualified; otherwise, it is determined that the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified.

[0020] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, judging whether the metal coating of the inspection area has defects includes:

[0021] Based on the inspection area image, determine whether the inspection area has pinholes, peeling, shedding, or partial absence of coating;

[0022] When the pinholes, peeling, shedding and local absence of coating exist, it is determined that the metal coating in the inspection area is defective. When the pinholes, peeling, shedding and local absence of coating do not exist, it is determined that the metal coating in the inspection area is not defective.

[0023] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, judging whether the surface thickness of the coating in the inspection area is qualified includes:

[0024] Determining a preset number of target detection points in the coating area of ​​the inspection area image;

[0025] Calculating the actual distance between the coating surface and the base surface reference point at the target detection point;

[0026] Obtain the theoretical distance between the coating surface and the base surface reference point;

[0027] Determine whether the difference between the actual distance corresponding to each target detection point and the theoretical distance is within the preset fluctuation range. If so, the surface thickness of the coating in the inspection area is determined to be qualified; otherwise, the surface thickness of the coating in the inspection area is determined to be unqualified.

[0028] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, judging whether the number of abrasive grains on the surface of the coating in the inspection area is qualified includes:

[0029] Based on the inspection area image, count the actual number of wear particles in the inspection area;

[0030] Calculate the theoretical number of wear particles in the inspection area;

[0031] Determine whether the difference between the actual number of abrasive particles and the theoretical number of abrasive particles is greater than a calibration value. If so, determine that the number of abrasive particles on the coating surface in the inspection area is unqualified; otherwise, determine that the number of abrasive particles on the coating surface in the inspection area is qualified.

[0032] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, judging whether the protrusion height of abrasive grains in the inspection area is qualified includes:

[0033] determining a target number of wear particles from the inspection area image;

[0034] Obtaining the protruding height of the abrasive grains in the thickness direction of the grinding wheel coating;

[0035] The protrusion heights corresponding to each abrasive particle are averaged to obtain the average protrusion height;

[0036] The abrasive grain coverage ratio η is calculated based on the formula η=1-(hv / α), where hv is the average protrusion height and α is the average diameter of the abrasive grains in the grinding wheel to be tested;

[0037] It is determined whether the abrasive grain coating ratio η is within a preset range. If it is not within the preset range, it is determined that the protruding height of the abrasive grains in the inspection area is unqualified. Otherwise, it is determined that the protruding height of the abrasive grains in the inspection area is qualified.

[0038] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, before judging whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified, the method further includes:

[0039] Obtain the stability of the grinding wheel to be tested;

[0040] determining a number of inspection regions that matches the stability;

[0041] The number of the inspection regions is determined from the working area of ​​the grinding wheel to be inspected and the inspection regions are evenly distributed.

[0042] Optionally, in the above-mentioned nondestructive prediction method for grinding wheel reliability, before calculating the abrasive grain coating ratio η based on the formula η=1-(hv / α), the method further includes:

[0043] Obtain identification information of the grinding wheel to be tested;

[0044] The average diameter of the abrasive grains in the grinding wheel to be detected is determined based on the identification information.

[0045] A nondestructive prediction device for grinding wheel reliability, comprising:

[0046] A strength judgment unit is used to judge whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified;

[0047] An image acquisition unit is used to acquire an image of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image, wherein the inspection area image is a three-dimensional surface topography image of the inspection area;

[0048] A defect judgment unit, used for judging whether the metal coating of the inspection area has defects based on the inspection area image;

[0049] A thickness judgment unit, used for judging whether the surface thickness of the coating in the inspection area is qualified based on the inspection area image;

[0050] An abrasive particle quantity judgment unit, used for judging whether the quantity of abrasive particles on the surface of the coating in the inspection area is qualified based on the inspection area image;

[0051] an abrasive grain height judging unit, used for judging whether the protruding height of the abrasive grains in the inspection area is qualified based on the inspection area image;

[0052] The judgment result output unit is used to output prompt information indicating that the grinding wheel to be tested is qualified when the bonding strength, defects, coating surface thickness, the number of abrasive particles on the coating surface, and the protruding height of abrasive particles in the inspection area are all judged to be passed.

[0053] A computer program product includes computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements any one of the above-mentioned methods for non-destructive prediction of grinding wheel reliability.

[0054] An electronic device comprises at least one processing device and a storage device connected to the processing device, wherein:

[0055] The storage device is used to store computer programs;

[0056] The processing device is used to execute the computer program so that the electronic device can implement any one of the above-mentioned methods for non-destructive prediction of grinding wheel reliability.

[0057] A computer storage medium carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any one of the above-mentioned methods for non-destructive prediction of grinding wheel reliability.

[0058] Based on the above technical scheme, the above scheme provided by the embodiment of the present invention, before the grinding wheel is put into use, it is pre-judged whether the bonding strength between the metal coating of the grinding wheel and the substrate is qualified, whether the metal coating of the inspection area has defects, whether the surface thickness of the coating in the inspection area is qualified, whether the number of abrasive grains on the coating surface in the inspection area is qualified, and whether the protruding height of the abrasive grains in the inspection area is qualified. When all the above judgments are passed, it indicates that the grinding wheel is qualified and can be put into use. This scheme can quickly screen out unqualified grinding wheels. It effectively solves the problem of frequent replacement of grinding wheels during processing due to fluctuations in the quality of finished grinding wheels during use, which affects processing efficiency and processing quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0060] Figure 1 It is a schematic flow chart of the nondestructive prediction method of the grinding wheel reliability disclosed in the embodiment of the present application;

[0061] Figure 2 It is the main view of the grinding wheel;

[0062] Figure 3 is a side view of the grinding wheel;

[0063] Figure 4 A distribution diagram of an inspection area disclosed in an embodiment of the present application;

[0064] Figure 5 A schematic diagram of a coating bonding strength testing method provided in a specific embodiment of the present application;

[0065] Figure 6 A schematic diagram of a coating thickness uniformity inspection method provided in a specific embodiment of the present application;

[0066] Figure 7 A schematic diagram of a method for calculating the protruding height of abrasive particles provided in a specific embodiment of the present application;

[0067] Figure 8 It is a schematic diagram of the structure of the grinding wheel reliability nondestructive prediction device disclosed in the embodiment of the present application;

[0068] Fig. 9 A schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of 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.

[0070] In order to solve the problems of service life fluctuation caused by poor consistency of CBN electroplated grinding wheels, affecting grinding quality, reducing processing efficiency and increasing processing costs due to frequent replacement of grinding wheels, the present invention proposes a method for non-destructive prediction of grinding wheel reliability.

[0071] See also Figure 1 The vehicle air conditioning detection method disclosed in the embodiment of the present application may include:

[0072] Step S101: determining whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified.

[0073] Figure 2 This is the main view of the basic structure of the grinding wheel to be tested. Figure 3 is a side view of the grinding wheel to be tested, Figure 4 A schematic diagram of the distribution of an inspection area on a grinding wheel to be inspected provided in this embodiment.

[0074] Before testing the grinding wheel to be tested (the grinding wheel to be tested may be a CBN electroplated grinding wheel), 2n (n=1,2…) uniformly distributed areas with the same size and shape can be pre-selected as test areas. The number of test areas can be determined based on experience. According to the stability of the batch of grinding wheels to be tested, the number of test areas that match the stability is determined, and then the number of test areas and uniformly distributed test areas are determined from the working area of ​​the grinding wheel to be tested. These test areas are evenly distributed in the working area and have the same size and shape. By reasonably calculating the number of test areas, the accuracy and efficiency of the prediction results can be taken into account.

[0075] If the base material of the grinding wheel to be tested is not properly selected, or if the degreasing and rust removal are not thorough during the production of the grinding wheel to be tested, the bonding strength between the metal coating and the grinding wheel base may be low. The area of ​​the grinding wheel to be tested that contacts the workpiece material during use is in a state of high grinding force and grinding temperature, which can easily cause the metal coating of the grinding wheel to fall off, seriously affecting its service life. In order to screen out unqualified products and prevent the grinding wheel to be tested with low coating bonding strength from entering the next inspection module, the bonding strength test is performed first.

[0076] The bonding strength test process begins with fixing the grinding wheel to be tested, and the tester controls the file manually or automatically based on a set program through an electronic device, so that the file files the edge of the test area, and the file forms a preset angle with the coating surface of the test area, for example, see Figure 5 The two can form an angle of 45°, and the filing direction of the file is from the grinding wheel base to the metal coating (grinding wheel coating). The inspector then visually inspects the filing position or performs image detection. If the coating is not lifted or falls off, it is considered that the bonding strength between the grinding wheel metal coating and the base is qualified. Otherwise, it is directly judged as an unqualified product and does not enter the subsequent process. When controlling the electronic device, after the electronic device clamps the grinding wheel to be tested, the angle of the file is adjusted so that the angle between the file and the coating surface of the inspection area of ​​the grinding wheel to be tested is a preset angle, and then the action of the file is controlled by the motor so that the file files the edge of the inspection area from the grinding wheel base to the metal coating. After the filing action is completed, an image acquisition device is used to capture an image of the filing position, and then the image acquisition result is analyzed. Based on the image acquisition result, it is determined whether there is a situation where the coating is lifted or fallen off at the filing position. If there is a situation where the coating is lifted or fallen off, it is determined that the bonding strength between the metal coating of the grinding wheel to be tested and the substrate is unqualified. Otherwise, it is determined that the bonding strength between the metal coating of the grinding wheel to be tested and the substrate is qualified.

[0077] Step S102: collecting images of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image.

[0078] When the bonding strength between the metal coating of the grinding wheel to be tested and the substrate is determined to be qualified, a laser scanning confocal microscope (or other optical microscope) is used to scan the test area in layers, and a three-dimensional modeling of the surface morphology of the grinding wheel test area is performed based on the scanning results to obtain an image of the test area. The modeled image of the test area can show the three-dimensional surface morphology of the test area. By performing three-dimensional modeling on the surface morphology of the grinding wheel test area, the surface defects, coating uniformity, number of abrasive particles, and protruding height of abrasive particles in the test area are quantified, so that various indicators of the grinding wheel to be tested can be judged efficiently and accurately in the subsequent process.

[0079] Step S103: Based on the inspection area image, determine whether the metal coating of the inspection area has defects.

[0080] In this step, an image analysis module is used to inspect the surface defects of the coating based on the inspection area image. In the defect inspection process, the inspection area image is mainly analyzed to identify whether there are defects such as pinholes, peeling, shedding, and local absence of coating in the inspection area. If such defects exist and the degree of defects reaches a preset degree, it is directly determined that the metal coating in the inspection area has defects and does not enter the grinding process. When there are no pinholes, peeling, shedding, and local absence of coating, it is determined that the metal coating in the inspection area does not have defects.

[0081] Step S104: Based on the inspection area image, determine whether the surface thickness of the coating in the inspection area is qualified.

[0082] The inspection area is scanned layer by layer using a laser scanning confocal microscope (optical microscope) to obtain the profile of the grinding wheel coating thickness direction (electrochemical deposition direction), and a preset number of target detection points (e.g., 10, 20, 30, etc.) are determined in the coating area of ​​the inspection area image, such as Figure 6 As shown, the actual distance a between the coating surface and the base surface reference point at the position of these target detection points is measured (when there are 20 detection points, the actual distances obtained include a1, a2, a3...a20), and the theoretical distance a'=l+d from the coating surface to the base surface reference point is calculated, where l is the base radius (μm) and d is the theoretical coating thickness (μm). Theoretical coating thickness , where t is the electroplating time (min), r is the density of the plated metal (g / cm3), C is the electrochemical equivalent (g / (A·h)), and D k is the cathode current density (A / dm2), η kis the cathode current efficiency (%). The difference Δ between the actual distance a from the coating surface to the base surface reference point and the theoretical profile a' is determined to be a-a'. If the difference Δ fluctuates within the preset fluctuation range, the coating thickness is determined to be uniform, the coating surface thickness in the inspection area is determined to be qualified, and step S105 is continued; otherwise, the coating surface thickness in the inspection area is determined to be unqualified, and the grinding process is not entered temporarily. Among them, the preset fluctuation range can be a calibrated fluctuation range centered on 0, the upper limit of the fluctuation range can be +0.1μm, and the lower limit can be -0.1μm.

[0083] Different from the conventional method of making metallographic specimens for testing, the present application uses the grinding wheel matrix (points, contours, etc.) as the measurement reference during the measurement process, does not damage the grinding wheel itself, improves the testing efficiency, and reduces the testing cost.

[0084] Step S106: Based on the inspection area image, determine whether the number of abrasive particles on the coating surface of the inspection area is qualified.

[0085] This step is used to inspect the number of abrasive particles on the surface of the coating in the inspection area. When inspecting the number of abrasive particles, based on the aforementioned three-dimensional surface morphology, the actual number of abrasive particles n in the inspection area is counted, and the theoretical number of abrasive particles n' in the inspection area is calculated. According to the obtained representation information of the grinding wheel to be inspected, the average diameter α of the abrasive particles in the grinding wheel to be inspected can be determined, then the theoretical number of abrasive particles n'= S' / S, where S' is the area of ​​the inspection area, S is the area occupied by a single abrasive particle, and S=πα. Determine whether the difference between the actual number of abrasive particles and the theoretical number of abrasive particles is greater than the calibration value. If it is greater than the calibration value, it is determined that the number of abrasive particles on the surface of the coating in the inspection area is unqualified. Otherwise, it is determined that the number of abrasive particles on the surface of the coating in the inspection area is qualified.

[0086] Step S106: judging whether the protrusion height of the abrasive particles in the inspection area is qualified based on the inspection area image;

[0087] If the number of abrasive grains on the coating surface in the inspection area is qualified, the protrusion height of the abrasive grains in the inspection area is inspected. In this process, a target number i (e.g., 10, 20, or 30, etc.) of abrasive grains is selected from the aforementioned three-dimensional surface morphology of the coating, see Figure 7, measure the protruding height h1, h2, h3…hi of the abrasive in the thickness direction of the grinding wheel coating. Generally speaking, the coating should cover 50%~70% of the average abrasive size. Then calculate the average protruding height hv corresponding to hi, hv=(h1+h2+h3+hi) / i, and then calculate the abrasive coating ratio η=1-(hv / α), and judge whether the value of η is within the preset range (the preset range can be [0.5,0.7] or other set ranges). If the η value is too small (less than the minimum value in the preset range), it is considered that the abrasive is coated with too small a coating ratio, and the bonding strength between the abrasive and the metal coating is low. If the η value is too large (greater than the maximum value in the preset range), it is considered that the abrasive is coated with too large a coating ratio, and the number of effective abrasives that can participate in grinding is insufficient. The grinding wheel should be further inspected and the grinding process will not be entered. Only when η is within the set range, it indicates that the protruding height of the abrasive in the inspection area is qualified.

[0088] Step S107: When the bonding strength, defects, coating surface thickness, the number of abrasive grains on the coating surface, and the protruding height of abrasive grains in the inspection area are all judged to be passed, a prompt message indicating that the grinding wheel to be inspected is qualified is output.

[0089] When the bonding strength, defects, coating surface thickness, number of abrasive grains on the coating surface, and protruding height of abrasive grains in the inspection area of ​​the grinding wheel to be tested are all judged to be qualified, it indicates that the grinding wheel to be tested is qualified and can be used for subsequent grinding processes, and a prompt message indicating that the grinding wheel to be tested is qualified is output to enter the subsequent grinding process.

[0090] The above-mentioned judgment processes of the present application can be executed simultaneously or sequentially. The above-mentioned sorting method of the present application is only for the convenience of scheme introduction. In the actual inspection process, the order of the above-mentioned steps can be determined according to the inspection requirements.

[0091] The above scheme disclosed in the above embodiment of the present application, before the grinding wheel is put into use, pre-judgments are made on whether the bonding strength between the metal coating of the grinding wheel and the substrate is qualified, whether the metal coating of the inspection area has defects, whether the coating surface thickness of the inspection area is qualified, whether the number of abrasive grains on the coating surface of the inspection area is qualified, and whether the protruding height of the abrasive grains in the inspection area is qualified. When all the above judgments are passed, it indicates that the grinding wheel is qualified and can be put into use. This scheme can be used to quickly screen out unqualified grinding wheels. It effectively solves the problem of frequent replacement of grinding wheels during processing due to fluctuations in the quality of finished grinding wheels during use, which affects processing efficiency and processing quality.

[0092] This embodiment discloses a grinding wheel reliability nondestructive prediction device. For the specific working contents of each unit in the device, please refer to the contents of the above method embodiment.

[0093] The following is a description of a grinding wheel reliability nondestructive prediction device provided by an embodiment of the present invention. The grinding wheel reliability nondestructive prediction device described below and the grinding wheel reliability nondestructive prediction method described above can correspond to each other.

[0094] See also Figure 8 , the device may include:

[0095] The strength judging unit 10 is used to judge whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified;

[0096] An image acquisition unit 20 is used to acquire an image of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image, wherein the inspection area image is a three-dimensional surface topography image of the inspection area;

[0097] A defect judgment unit 30, configured to judge whether the metal coating of the inspection area has defects based on the inspection area image;

[0098] A thickness judgment unit 40 is used to judge whether the surface thickness of the coating in the inspection area is qualified based on the inspection area image;

[0099] An abrasive particle quantity determination unit 50 is used to determine whether the quantity of abrasive particles on the surface of the coating in the inspection area is qualified based on the inspection area image;

[0100] An abrasive grain height judging unit 60 is used to judge whether the protruding height of the abrasive grains in the inspection area is qualified based on the inspection area image;

[0101] The judgment result output unit 70 is used to output prompt information indicating that the grinding wheel to be tested is qualified when the bonding strength, defects, coating surface thickness, the number of abrasive grains on the coating surface, and the protruding height of abrasive grains in the inspection area are all judged to be passed.

[0102] The specific functions of each unit in the device can be found in the introduction of the aforementioned method embodiment, which will not be repeated here.

[0103] The present application also provides an electronic device in an embodiment. Fig. 9 As shown, it shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiment of the present application. The electronic device in the embodiment of the present application may include but is not limited to fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Fig. 9 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0104] like Fig. 9As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 to a random access memory (RAM) 603. When the electronic device is powered on, various programs and data required for the operation of the electronic device are also stored in the RAM 603. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0105] Typically, the following devices may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a memory card, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Fig. 9 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0106] An embodiment of the present application also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements any one of the grinding wheel reliability non-destructive prediction methods provided in the embodiments of the present application.

[0107] A computer-readable storage medium is also provided in an embodiment of the present application. The storage medium carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any one of the grinding wheel reliability non-destructive prediction methods provided in the embodiment of the present application.

[0108] For the convenience of description, the above system is described as being divided into various modules according to their functions. Of course, when implementing the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0109] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0110] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0111] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0112] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0113] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A nondestructive prediction method for grinding wheel reliability, characterized in that: include: Determine whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified; Capturing an image of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image, wherein the inspection area image is a three-dimensional surface topography image of the inspection area; Based on the inspection area image, determining whether the metal coating of the inspection area has defects; Based on the inspection area image, judging whether the surface thickness of the coating in the inspection area is qualified; Based on the inspection area image, determining whether the number of abrasive particles on the coating surface of the inspection area is qualified; Based on the inspection area image, judging whether the protrusion height of the abrasive particles in the inspection area is qualified; When the bonding strength, defects, coating surface thickness, the number of abrasive grains on the coating surface, and the protruding height of abrasive grains in the inspection area are all judged to be passed, a prompt message indicating that the grinding wheel to be inspected is qualified is output.

2. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Determine whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified, including: Adjust the angle of the file so that the angle between the file and the coating surface of the inspection area of ​​the grinding wheel to be inspected is a preset angle; Controlling the direction of the file from the grinding wheel base to the metal coating to file the edge of the inspection area; Capturing images of the agitation position, and judging whether the coating is lifted or detached at the agitation position based on the image acquisition results; If the coating is lifted or detached, it is determined that the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is unqualified; otherwise, it is determined that the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified.

3. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Determining whether the metal coating of the inspection area has defects includes: Based on the inspection area image, determine whether the inspection area has pinholes, peeling, shedding, or partial absence of coating; When the pinholes, peeling, shedding and local absence of coating exist, it is determined that the metal coating in the inspection area is defective. When the pinholes, peeling, shedding and local absence of coating do not exist, it is determined that the metal coating in the inspection area is not defective.

4. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Determine whether the surface thickness of the coating in the inspection area is qualified, including: Determining a preset number of target detection points in the coating area of ​​the inspection area image; Calculating the actual distance between the coating surface and the base surface reference point at the target detection point; Obtain the theoretical distance between the coating surface and the base surface reference point; Determine whether the difference between the actual distance corresponding to each target detection point and the theoretical distance is within the preset fluctuation range. If so, the surface thickness of the coating in the inspection area is determined to be qualified; otherwise, the surface thickness of the coating in the inspection area is determined to be unqualified.

5. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Determine whether the number of abrasive particles on the coating surface of the inspection area is qualified, including: Based on the inspection area image, count the actual number of wear particles in the inspection area; Calculate the theoretical number of wear particles in the inspection area; Determine whether the difference between the actual number of abrasive particles and the theoretical number of abrasive particles is greater than a calibration value. If so, determine that the number of abrasive particles on the coating surface in the inspection area is unqualified; otherwise, determine that the number of abrasive particles on the coating surface in the inspection area is qualified.

6. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Determine whether the protruding height of the abrasive particles in the inspection area is qualified, including: determining a target number of wear particles from the inspection area image; Obtaining the protruding height of the abrasive grains in the thickness direction of the grinding wheel coating; The protrusion heights corresponding to each abrasive particle are averaged to obtain the average protrusion height; The abrasive grain coverage ratio η is calculated based on the formula η=1-(hv / α), where hv is the average protrusion height and α is the average diameter of the abrasive grains in the grinding wheel to be tested; It is determined whether the abrasive grain coating ratio η is within a preset range. If it is not within the preset range, it is determined that the protruding height of the abrasive grains in the inspection area is unqualified. Otherwise, it is determined that the protruding height of the abrasive grains in the inspection area is qualified.

7. The nondestructive prediction method for grinding wheel reliability according to claim 1, characterized in that: Before judging whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified, it also includes: Obtain the stability of the grinding wheel to be tested; determining a number of inspection regions that matches the stability; The number of the inspection regions is determined from the working area of ​​the grinding wheel to be inspected and the inspection regions are evenly distributed.

8. The nondestructive prediction method for grinding wheel reliability according to claim 4, characterized in that: Before calculating the abrasive coating ratio η based on the formula η=1-(hv / α), it also includes: Obtain identification information of the grinding wheel to be tested; The average diameter of the abrasive grains in the grinding wheel to be detected is determined based on the identification information.

9. A nondestructive prediction device for grinding wheel reliability, characterized in that: include: A strength judgment unit is used to judge whether the bonding strength between the metal coating and the substrate of the grinding wheel to be tested is qualified; An image acquisition unit is used to acquire an image of the inspection area of ​​the grinding wheel to be inspected to obtain an inspection area image, wherein the inspection area image is a three-dimensional surface topography image of the inspection area; A defect judgment unit, used for judging whether the metal coating of the inspection area has defects based on the inspection area image; A thickness judgment unit, used for judging whether the surface thickness of the coating in the inspection area is qualified based on the inspection area image; An abrasive particle quantity judgment unit, used for judging whether the quantity of abrasive particles on the surface of the coating in the inspection area is qualified based on the inspection area image; an abrasive grain height judging unit, used for judging whether the protruding height of the abrasive grains in the inspection area is qualified based on the inspection area image; The judgment result output unit is used to output prompt information indicating that the grinding wheel to be tested is qualified when the bonding strength, defects, coating surface thickness, the number of abrasive particles on the coating surface, and the protruding height of abrasive particles in the inspection area are all judged to be passed.

10. A computer program product, characterized in that The method comprises computer-readable instructions, and when the computer-readable instructions are executed on an electronic device, the electronic device implements the method for non-destructive prediction of grinding wheel reliability as claimed in any one of claims 1 to 8.

11. An electronic device, characterized in that: The method comprises at least one processing device and a storage device connected to the processing device, wherein: The storage device is used to store computer programs; The processing device is used to execute the computer program so that the electronic device can implement the grinding wheel reliability non-destructive prediction method as claimed in any one of claims 1 to 8.

12. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the method for non-destructive prediction of grinding wheel reliability as claimed in any one of claims 1 to 8.

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