Treatment method and device for improving crystal boundary stability of bearing material

Abstract

The invention relates to a processing method and device for improving the crystal boundary stability of a bearing material, and the method comprises the steps: obtaining first crystal boundary angle distribution and first coincidence lattice crystal boundary proportion data of a target bearing steel sample marking region; applying a pulsed magnetic field to the target bearing steel sample so as to analyze the grain boundary angle distribution and the coincidence lattice grain boundary proportion of the same marked area of the processed sample to obtain second grain boundary angle distribution and second coincidence lattice grain boundary proportion data of the processed sample; and obtaining change information between the grain boundary angle distribution before and after processing and the relocation lattice grain boundary proportion data, and generating a bearing material grain boundary stability result according to the change information so as to match a lifting measure corresponding to the bearing material grain boundary stability result. Therefore, the problems that in the prior art, due to the fact that a macroscale means is mostly adopted, structural optimization and component control of the grain boundary at the atomic level are difficult to achieve, improvement of the stability of the grain boundary is limited, and performance breakthrough of bearing materials is limited are solved.

Description

Technical Field

[0001] The present application relates to the technical field of metal material processing, and in particular to a processing method and device for improving the grain boundary stability of bearing materials. Background Art

[0002] In related technologies, in order to improve the fatigue life and wear resistance of bearing steel materials, material design and process optimization are usually carried out around grain boundary control. For example, by introducing alloying elements (such as Cr, Mo, V, etc.) to promote the precipitation of stable carbides at grain boundaries, or by controlling the heat treatment process to achieve grain refinement and substructure optimization, thereby enhancing the material's fatigue resistance and wear resistance, or through grain boundary engineering methods (such as grain boundary orientation control and low-energy grain boundary design) to improve the thermodynamic stability and crack growth resistance of grain boundaries.

[0003] However, in related technologies, excessive alloying can easily lead to the precipitation of coarse carbides, forming stress concentration areas and reducing the overall toughness of the material; heat treatment processes make it difficult to precisely control the chemical state and defect distribution of the grain boundary region, especially for grain boundary defects at the nanoscale (such as dislocation clusters and grain boundary steps). There is a lack of effective control measures; in addition, trace impurities (such as S and P) tend to accumulate at the grain boundaries, weakening the interfacial bonding strength and reducing corrosion resistance and fatigue life. In summary, most related technologies remain at the macro-scale control of grain boundaries, and it is difficult to achieve the coordinated optimization of grain boundary structure and chemical composition at the atomic level, resulting in limited improvement in grain boundary stability, thereby limiting the performance breakthrough of bearing materials and other problems that need to be solved urgently. Summary of the Invention

[0004] The present application provides a processing method and device for improving the grain boundary stability of bearing materials, in order to solve the problem that in related technologies, grain boundary control mostly adopts macro-scale means such as alloying and heat treatment, which makes it difficult to achieve structural optimization and composition control of grain boundaries at the atomic level, resulting in limited improvement of grain boundary stability, thereby limiting the performance breakthrough of bearing steel materials.

[0005] A first aspect of the present application provides a processing method for improving the grain boundary stability of bearing materials, comprising the following steps: analyzing the grain boundary angle distribution and the re-site lattice grain boundary ratio of the marked area of ​​the target bearing steel sample to obtain the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data of the original bearing steel sample; applying a pulsed magnetic field to the target bearing steel sample to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the same marked area of ​​the treated sample to obtain the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data of the treated sample; obtaining the change information between the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data and the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data, and generating the bearing material grain boundary stability result according to the change information to match the improvement measures corresponding to the bearing material grain boundary stability result.

[0006] Through the above technical means, by comparing and analyzing the grain boundary angle distribution and heavy site lattice grain boundary ratio data before and after treatment, the evolution trend of the grain boundary structure can be identified and the corresponding grain boundary stability improvement measures can be matched. It is possible to evaluate the grain boundary optimization effect under different pulsed magnetic field treatment parameters, guide parameter selection and process design, and achieve directional regulation of the grain boundary structure, thereby improving the thermal stability, mechanical properties and service reliability of the material.

[0007] Optionally, in one embodiment of the present application, applying a pulsed magnetic field to the target bearing steel sample includes: performing pulsed magnetic field treatment on the target bearing steel sample based on preset pulsed magnetic field treatment parameters, wherein the preset pulsed magnetic field treatment parameters include at least one of a magnetic field strength of 2.5-3T, a treatment frequency of 0.02-0.1Hz, and a treatment number of 40-80 times.

[0008] Through the above technical means, by applying pulsed magnetic field treatment with specific parameters to bearing steel, the grain boundary structure of the material can be effectively regulated, the atomic mismatch and defects at the grain boundaries can be reduced, and the formation and stabilization of low-energy CSL (Coincidence Site Lattice) grain boundaries can be promoted, thereby reducing the overall grain boundary energy and enhancing the thermal stability and anti-migration ability of the grain boundaries.

[0009] Optionally, in one embodiment of the present application, applying a pulsed magnetic field to the target bearing steel sample includes: fixing the target bearing steel sample in a cavity of a pulsed magnetic field processing device; inputting the preset pulsed magnetic field processing parameters into the pulsed magnetic field processing device to perform pulsed magnetic field processing on the target bearing steel sample.

[0010] Through the above technical means, by fixing the target bearing steel sample in the cavity of the pulsed magnetic field processing equipment, it can be ensured that the sample is precisely aligned with the magnetic field action area, and then the preset pulsed magnetic field processing parameters are input for processing, which can promote the rearrangement of grain boundary atoms, optimize the grain boundary angle distribution and increase the proportion of low-energy heavy site lattice grain boundaries, thereby enhancing the grain boundary stability.

[0011] Optionally, in one embodiment of the present application, before the target bearing steel sample is subjected to pulse magnetic field treatment, it also includes: detecting the working status of the pulse magnetic field treatment equipment; when it is detected that the working status meets the preset test conditions, turning on the pulse magnetic field treatment equipment, otherwise an abnormal warning is issued.

[0012] Through the above technical means, by detecting the working status of the pulsed magnetic field processing equipment and then warning of abnormal situations, relevant equipment can be monitored in real time to ensure that all parameters in the processing process are within the set range, thereby ensuring the stability of the grain boundary control process, helping to promptly discover and eliminate equipment operation anomalies, and prevent the grain boundary optimization effect from being reduced due to magnetic field fluctuations, thereby improving the reliability and safety of the overall process.

[0013] The second aspect of the present application provides a processing device for improving the grain boundary stability of bearing materials, including: an acquisition module for analyzing the grain boundary angle distribution and the re-site lattice grain boundary ratio of the marked area of ​​the target bearing steel sample to obtain the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data of the original bearing steel sample; a processing module for applying a pulsed magnetic field to the target bearing steel sample to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the same marked area of ​​the processed sample to obtain the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data of the processed sample; an improvement module for obtaining the change information between the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data and the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data, and generating a bearing material grain boundary stability result according to the change information to match the improvement measures corresponding to the bearing material grain boundary stability result.

[0014] Through the above technical means, by comparing and analyzing the grain boundary angle distribution and heavy site lattice grain boundary ratio data before and after treatment, the evolution trend of the grain boundary structure can be identified and the corresponding grain boundary stability improvement measures can be matched. The grain boundary optimization effect under different pulsed magnetic field treatment parameters can be evaluated, and parameter selection and process design can be guided, thereby achieving directional regulation of the grain boundary structure and improving the thermal stability, mechanical properties and service reliability of the material.

[0015] Optionally, in one embodiment of the present application, the processing module includes: a first processing unit, used to perform pulse magnetic field treatment on the target bearing steel sample based on preset pulse magnetic field processing parameters, wherein the preset pulse magnetic field processing parameters include at least one of a magnetic field intensity of 2.5-3T, a processing frequency of 0.02-0.1Hz, and a processing number of 40-80 times.

[0016] Through the above technical means, by applying pulsed magnetic field treatment with specific parameters to bearing steel, the grain boundary structure of the material can be effectively regulated, the atomic mismatch and defects at the grain boundaries can be reduced, and the formation and stabilization of low-energy heavy site lattice grain boundaries (CSL grain boundaries) can be promoted, thereby reducing the overall grain boundary energy and enhancing the thermal stability and anti-migration ability of the grain boundaries.

[0017] Optionally, in one embodiment of the present application, the processing module includes: a fixing unit for fixing the target bearing steel sample in the cavity of the pulsed magnetic field processing equipment; and a second processing unit for inputting the preset pulsed magnetic field processing parameters into the pulsed magnetic field processing equipment to perform pulsed magnetic field processing on the target bearing steel sample.

[0018] Through the above technical means, by fixing the target bearing steel sample in the cavity of the pulsed magnetic field processing equipment, it can be ensured that the sample is precisely aligned with the magnetic field action area, and then the preset pulsed magnetic field processing parameters are input for processing, which can promote the rearrangement of grain boundary atoms, optimize the grain boundary angle distribution and increase the proportion of low-energy heavy site lattice grain boundaries, thereby enhancing the grain boundary stability.

[0019] Optionally, in one embodiment of the present application, it also includes: a detection module for detecting the working status of the pulse magnetic field processing equipment; a warning module for turning on the pulse magnetic field processing equipment when it is detected that the working status meets the preset test conditions, otherwise an abnormal warning is issued.

[0020] Through the above technical means, by detecting the working status of the pulsed magnetic field processing equipment and then warning of abnormal situations, relevant equipment can be monitored in real time to ensure that all parameters in the processing process are within the set range, thereby ensuring the stability of the grain boundary control process, helping to promptly discover and eliminate equipment operation anomalies, and prevent the grain boundary optimization effect from being reduced due to magnetic field fluctuations, thereby improving the reliability and safety of the overall process.

[0021] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the processing method for improving the grain boundary stability of bearing materials as described in the above embodiment.

[0022] A fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned processing method for improving the grain boundary stability of bearing materials.

[0023] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned processing method for improving the grain boundary stability of bearing materials.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1 This is a flow chart of a method for improving the grain boundary stability of a bearing material according to an embodiment of the present application;

[0027] Figure 2 This is a schematic diagram of a process for improving the grain boundary stability of a bearing material according to one embodiment of the present application;

[0028] Figure 3 This is a schematic diagram of the grain boundary angle distribution of M50 bearing steel before and after magnetic field treatment according to one embodiment of the present application;

[0029] Figure 4 This is a schematic diagram of the change in CSL grain boundary ratio of M50 bearing steel before and after magnetic field treatment according to one embodiment of the present application;

[0030] Figure 5 This is a block diagram of a processing device for improving the grain boundary stability of a bearing material provided according to an embodiment of the present application;

[0031] Figure 6 The figure is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application.

[0032] Reference numerals:

[0033] 10-processing device for improving the grain boundary stability of bearing materials; 100-acquisition module, 200-processing module and 300-improvement module; 601-memory, 602-processor and 603-communication interface. DETAILED DESCRIPTION

[0034] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0035] The following describes a processing method and device for improving the grain boundary stability of bearing materials according to an embodiment of the present application with reference to the accompanying drawings. In view of the technical problems that the grain boundary control mentioned in the above background technology mostly adopts macro-scale means such as alloying and heat treatment, it is difficult to achieve structural optimization and composition control of the grain boundary at the atomic level, resulting in limited improvement of the grain boundary stability, thereby limiting the performance breakthrough of the bearing material, etc., the present application provides a processing method for improving the grain boundary stability of the bearing material. In this method, after obtaining the original bearing steel grain boundary angle distribution and CSL grain boundary ratio data, a pulsed magnetic field is applied to it for processing, and the processed data results are statistically processed to match the improvement measures of the corresponding bearing material grain boundary stability results. The high-energy magnetostrictive effect generated by the pulsed magnetic field technology and the coupling effect of the Lorentz force can be used to achieve dynamic control of the atomic structure of the bearing steel grain boundary, effectively reduce grain boundary defects, increase the proportion of low-energy grain boundaries (CSL grain boundaries), thereby reducing grain boundary energy, enhancing grain boundary stability, comprehensively improving the strength and toughness of the material from a microscopic level, significantly improving its service performance, and providing an efficient and low-energy bearing steel grain boundary stability improvement solution. This solves the problem that related technologies mostly use macro-scale methods, which make it difficult to achieve structural optimization and composition control of grain boundaries at the atomic level, resulting in limited improvement in grain boundary stability, thus limiting the performance breakthrough of bearing materials.

[0036] Specifically, Figure 1 A schematic flow chart of a processing method for improving the grain boundary stability of bearing materials provided in an embodiment of the present application.

[0037] like Figure 1 As shown, the treatment method for improving the grain boundary stability of bearing materials includes the following steps:

[0038] In step S101 , the grain boundary angle distribution and the redistribution lattice grain boundary ratio of the marked area of ​​the target bearing steel sample are analyzed to obtain the first grain boundary angle distribution and the first redistribution lattice grain boundary ratio data of the original bearing steel sample.

[0039] It should be noted that, in the embodiment of the present application, positioning marks are made on the bearing steel specimens in advance, so that the same area can be accurately identified and located in different processing stages or different testing links, thereby achieving accurate comparison and analysis of data.

[0040] It is understandable that bearing steel is a high-carbon, high-chromium alloy steel (such as GCr15, M50, D2, etc.), which forms a structure mainly composed of martensite or bainite after heat treatment, and there are a large number of grain boundaries between the internal grains. The grain boundary is the interface where the crystal orientation between grains is discontinuous, and its properties directly affect the overall performance of the material. The crystal orientation of different grains usually has a certain angle, which is called the grain boundary orientation difference or grain boundary angle. The grain boundary angle distribution can reflect the overall statistical characteristics of the grain orientation relationship in the material, and is an important parameter for evaluating the microstructural stability, mechanical properties and service behavior of the material.

[0041] CSL grain boundaries refer to the periodic overlap of the crystal structure between grains under specific misorientation. This means that some atoms in two grains overlap at the grain boundary, forming an ordered structure. The CSL grain boundary ratio refers to the proportion of CSL grain boundaries (e.g., Σ3 to Σ29) in the total grain boundary length or number in a material. A higher CSL ratio indicates a greater number of "low-energy grain boundaries" in the material, resulting in more stable grain boundaries and improved service performance.

[0042] Specifically, the embodiment of the present application can process the bearing steel material into a sample of a certain size (such as 5mm×5mm×5mm), and process the sample surface through mechanical grinding, electrolytic polishing and other processes to achieve the mirror effect required for EBSD (Electron Backscatter Diffraction) testing. Subsequently, at the marked position of the bearing steel sample, the Kikuchi diffraction pattern is collected using EBSD technology, and the crystal orientation of each measurement point is calibrated using analysis software (such as AZtec, etc.). Based on the orientation difference matrix between adjacent points, the minimum rotation angle is calculated, and boundaries greater than a set threshold (such as 2° or 5°) can be identified as grain boundaries, thereby obtaining grain boundary angle distribution information; further enabling the CSL (Coincidence Site Lattice) grain boundary recognition function, it can identify heavy site lattice grain boundaries including Σ3, Σ9, Σ11 and other types, and count their proportion in all grain boundaries, which can be used as a comparison basis for the changes in grain boundary structure before and after treatment, thereby evaluating the effect of improving grain boundary stability.

[0043] For example, the statistical results of the grain boundary angle distribution can be divided into low-angle grain boundaries (2°~15°) and high-angle grain boundaries (>15°), or the number or proportion of angle distribution can be counted according to a set interval (such as every 5° or 10°) to analyze the grain boundary mismatch characteristics.

[0044] The grain boundary angle distribution and heavy site lattice grain boundary ratio data of the embodiments of the present application can be used as a basis for comparing the changes in grain boundary structure under different subsequent treatment conditions, thereby evaluating the effectiveness of the method of the present application in grain boundary regulation.

[0045] In step S102, a pulsed magnetic field is applied to the target bearing steel sample to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the same marked area of ​​the processed sample to obtain the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data of the processed sample.

[0046] Among them, the pulsed magnetic field has the characteristics of instantaneous high intensity and high frequency. When acting on metal materials, it can trigger magnetostrictive effect and Lorentz force, thereby inducing the dynamic evolution of the internal stress field and defect structure of the material.

[0047] Optionally, in one embodiment of the present application, a pulsed magnetic field is applied to the target bearing steel sample, including: performing pulsed magnetic field treatment on the target bearing steel sample based on preset pulsed magnetic field treatment parameters, wherein the preset pulsed magnetic field treatment parameters include at least one of a magnetic field strength of 2.5-3T, a treatment frequency of 0.02-0.1Hz, and a treatment number of 40-80 times.

[0048] The embodiment of the present application applies a pulsed magnetic field treatment to the bearing steel sample, which can stimulate magnetostriction and Lorentz force changes inside the material, promote grain boundary migration, grain reconstruction, and dislocation elimination, thereby optimizing the microstructure of the material and improving its mechanical properties and service stability.

[0049] Optionally, in one embodiment of the present application, a pulsed magnetic field is applied to the target bearing steel sample, including: fixing the target bearing steel sample in a cavity of a pulsed magnetic field processing device; inputting preset pulsed magnetic field processing parameters into the pulsed magnetic field processing device to perform pulsed magnetic field processing on the target bearing steel sample.

[0050] In the embodiment of the present application, the target bearing steel sample is fixed in the cavity of the pulsed magnetic field processing equipment to ensure that the sample is precisely aligned with the magnetic field action area, and then the preset pulsed magnetic field processing parameters are input for processing. This can promote the rearrangement of grain boundary atoms, optimize the grain boundary angle distribution and increase the proportion of low-energy heavy site lattice grain boundaries, thereby enhancing the stability of the grain boundaries.

[0051] Optionally, in one embodiment of the present application, before the target bearing steel sample is subjected to pulse magnetic field treatment, it also includes: detecting the working status of the pulse magnetic field treatment equipment; when it is detected that the working status meets the preset test conditions, starting the pulse magnetic field treatment equipment, otherwise an abnormal warning is issued.

[0052] Among them, the detection may include but is not limited to monitoring of current, voltage and device temperature. When the detection result deviates from the set threshold, a signal is sent and processing is stopped to ensure the stability of the processing process and the consistency of the processing effect.

[0053] In step S103, the change information between the first grain boundary angle distribution and the first coinciding site lattice grain boundary ratio data and the second grain boundary angle distribution and the second coinciding site lattice grain boundary ratio data is obtained, and the grain boundary stability results of the bearing material are generated according to the change information to match the improvement measures of the corresponding bearing material grain boundary stability results.

[0054] For example, in the embodiments of the present application, the following changes can indicate that the stability of the grain boundary structure has improved compared to before treatment. For example, after pulsed magnetic field treatment, the proportion of low-angle grain boundaries (grain boundary angles between 2° and 15°) has increased compared to before treatment, and the proportion of CSL re-site lattice grain boundaries (including but not limited to Σ3, Σ9, Σ11, etc.) in all grain boundaries has increased.

[0055] Combine Figure 2 、 Figure 3 、 Figure 4 The following is a detailed explanation of the processing flow for improving the grain boundary stability of bearing materials using a specific example.

[0056] like Figure 2 As shown, the embodiment of the present application may include the following steps:

[0057] In step S201 , a standard sample of 5*5*5 mm is prepared based on the finished product M50 bearing steel.

[0058] In step S202, the grain boundary angle distribution and CSL grain boundary ratio of the marked area of ​​the original M50 bearing steel sample are analyzed using EBSD to obtain the grain boundary angle distribution and CSL grain boundary ratio data of the original bearing steel sample.

[0059] In step S203, the M50 bearing steel sample is fixed in the cavity of the pulse magnetic field processing equipment and pulse magnetic field treatment is applied, wherein the pulse magnetic field treatment parameters can be set to a magnetic field intensity of 2.8T, a treatment frequency of 0.02Hz, and a treatment number of 46 times.

[0060] In step S204, the equipment is started to process the M50 bearing steel.

[0061] In step S205 , the grain boundary angle distribution and CSL grain boundary ratio of the same marked area position of the M50 bearing steel treated by the magnetic field are analyzed using EBSD to obtain the grain boundary angle distribution and CSL grain boundary ratio data of the pulsed magnetic field treated bearing steel sample.

[0062] In step S206, the changes in the grain boundary angle distribution and CSL grain boundary ratio of the bearing steel sample before and after the pulsed magnetic field treatment are compared to evaluate the degree of improvement in the grain boundary performance and grain boundary stability of the bearing steel material after the pulsed magnetic field treatment.

[0063] like Figure 3 、 Figure 4 As shown in FIG, the embodiment of the present application records the statistical results of the grain boundary angle distribution and CSL grain boundary ratio before and after pulsed magnetic field treatment. Figure 3 It can be seen that after magnetic field treatment, the proportion of LAGB (Low-Angle Grain Boundary) with an angle less than 10° increases, while the proportion of LAGB with an angle greater than 10° decreases slightly, and the overall proportion remains basically unchanged, which can represent a decrease in the average angle of LAGB. At the same time, the proportion of HAGB (Low-Angle Grain Boundary) with grain boundary angles of about 40°, 50° and 60° increases significantly after magnetic field treatment. These angles coincide with the angles of certain coincident position lattice (CSL) grain boundaries. Figure 4 It can be seen that pulsed magnetic field treatment can increase the proportion of CSL grain boundaries in bearing steel, among which the increase in Σ3, Σ9 and Σ11 CSL grain boundaries is the most obvious.

[0064] In summary, in the embodiments of the present application, after pulsed magnetic field treatment, the characteristic distribution of grain boundaries changes, wherein the proportion of CSL grain boundaries increases and the average grain boundary angle of LAGB decreases. It can be shown that these two types of grain boundaries have lower grain boundary energy, which can correspond to improved grain boundary stability. The reduction of grain boundary energy can not only increase the resistance of grain boundaries to crack propagation, but also reduce the rate of dislocation nucleation at grain boundaries, thereby enhancing the crack resistance of grain boundaries and improving the strength and toughness of bearing steel.

[0065] According to the treatment method for improving the grain boundary stability of bearing materials proposed in the embodiments of the present application, a pulsed magnetic field treatment is applied to the bearing steel, and the grain boundary angle distribution and CSL heavy site lattice grain boundary ratio and other data before and after treatment are compared by means of EBSD and other means to match the improvement measures of the grain boundary stability results of the corresponding bearing materials. This can achieve dynamic regulation of the atomic structure of the grain boundaries of the bearing steel, effectively reduce grain boundary defects, increase the proportion of low-energy grain boundaries (CSL grain boundaries), thereby reducing grain boundary energy, enhancing grain boundary stability, and comprehensively improving the strength and toughness of the material from a microscopic level.

[0066] Next, a processing device for improving the grain boundary stability of a bearing material according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0067] Figure 5 It is a block diagram of a processing device for improving the grain boundary stability of bearing materials according to an embodiment of the present application.

[0068] like Figure 5 As shown, the processing device 10 for improving the grain boundary stability of bearing materials includes: an acquisition module 100 , a processing module 200 and an improvement module 300 .

[0069] The acquisition module 100 is used to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the marked area of ​​the target bearing steel sample to obtain the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data of the original bearing steel sample.

[0070] The processing module 200 is used to apply a pulsed magnetic field to the target bearing steel sample to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the same marked area of ​​the processed sample to obtain the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data of the processed sample.

[0071] The improvement module 300 is used to obtain the change information between the first grain boundary angle distribution and the first heavy site lattice grain boundary ratio data and the second grain boundary angle distribution and the second heavy site lattice grain boundary ratio data, and generate the bearing material grain boundary stability results based on the change information to match the improvement measures of the corresponding bearing material grain boundary stability results.

[0072] Optionally, in one embodiment of the present application, the processing module 200 includes: a first processing unit.

[0073] Among them, the first processing unit is used to perform pulse magnetic field treatment on the target bearing steel sample based on preset pulse magnetic field processing parameters, wherein the preset pulse magnetic field processing parameters include at least one of a magnetic field intensity of 2.5-3T, a processing frequency of 0.02-0.1Hz and a processing number of 40-80 times.

[0074] Optionally, in one embodiment of the present application, the processing module 200 includes: a fixing unit and a second processing unit.

[0075] Among them, the fixing unit is used to fix the target bearing steel sample in the cavity of the pulse magnetic field processing equipment.

[0076] The second processing unit is used to input preset pulse magnetic field processing parameters into the pulse magnetic field processing equipment to perform pulse magnetic field processing on the target bearing steel sample.

[0077] Optionally, in one embodiment of the present application, it further includes: a detection module and a warning module.

[0078] Among them, the detection module is used to detect the working status of the pulse magnetic field processing equipment.

[0079] The warning module is used to start the pulse magnetic field processing equipment when it is detected that the working status meets the preset test conditions, otherwise it will issue an abnormal warning.

[0080] It should be noted that the above explanation of the embodiment of the processing method for improving the grain boundary stability of the bearing material is also applicable to the processing device for improving the grain boundary stability of the bearing material in this embodiment, and will not be repeated here.

[0081] According to the processing device for improving the grain boundary stability of bearing materials proposed in the embodiment of the present application, a pulsed magnetic field treatment is applied to the bearing steel, and the grain boundary angle distribution and CSL heavy site lattice grain boundary ratio and other data before and after treatment are compared through means such as EBSD to match the improvement measures of the corresponding bearing material grain boundary stability results. This can achieve dynamic regulation of the atomic structure of the bearing steel grain boundaries, effectively reduce grain boundary defects, increase the proportion of low-energy grain boundaries (CSL grain boundaries), thereby reducing grain boundary energy, enhancing grain boundary stability, and comprehensively improving the strength and toughness of the material from a microscopic level.

[0082] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0083] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0084] When the processor 602 executes the program, the processing method for improving the grain boundary stability of the bearing material provided in the above embodiment is implemented.

[0085] Furthermore, the electronic device further includes:

[0086] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0087] The memory 601 is used to store computer programs that can be run on the processor 602 .

[0088] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0089] If the memory 601, processor 602, and communication interface 603 are implemented independently, the communication interface 603, memory 601, and processor 602 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0090] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0091] The processor 602 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0092] This embodiment also provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the processing method for improving the grain boundary stability of a bearing material as described above is implemented.

[0093] An embodiment of the present application also provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the processing method for improving the grain boundary stability of bearing materials provided in the embodiment of the present application is implemented.

[0094] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0095] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0096] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0097] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0098] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented using hardware, as in another embodiment, it can be implemented using any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0099] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0100] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above may 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 is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for improving the grain boundary stability of bearing materials, characterized in that: The following steps are involved: Analyze the grain boundary angle distribution and the proportion of the double-site lattice grain boundary in the marked area of ​​the target bearing steel sample to obtain the first grain boundary angle distribution and the first double-site lattice grain boundary proportion data of the original bearing steel sample; Applying a pulsed magnetic field to the target bearing steel sample to analyze the grain boundary angle distribution and the redistribution point lattice grain boundary ratio of the same marked area of ​​the treated sample to obtain second grain boundary angle distribution and second redistribution point lattice grain boundary ratio data of the treated sample; Obtain the change information between the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data and the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data, and generate the bearing material grain boundary stability result according to the change information to match the improvement measures corresponding to the bearing material grain boundary stability result.

2. The method for improving the grain boundary stability of bearing materials according to claim 1, characterized in that: The applying a pulsed magnetic field to the target bearing steel sample comprises: Based on preset pulsed magnetic field processing parameters, the target bearing steel sample is subjected to pulsed magnetic field treatment, wherein the preset pulsed magnetic field processing parameters include at least one of a magnetic field intensity of 2.5-3T, a processing frequency of 0.02-0.1Hz, and a processing number of 40-80 times.

3. The method for improving the grain boundary stability of bearing materials according to claim 2, characterized in that: The applying a pulsed magnetic field to the target bearing steel sample comprises: Fixing the target bearing steel sample in a cavity of a pulsed magnetic field processing device; The preset pulsed magnetic field processing parameters are input into the pulsed magnetic field processing equipment to perform pulsed magnetic field processing on the target bearing steel sample.

4. The method for improving the grain boundary stability of bearing materials according to claim 3, characterized in that: Before the target bearing steel sample is subjected to pulse magnetic field treatment, the method further includes: detecting the working status of the pulsed magnetic field processing device; When it is detected that the working state meets the preset test conditions, the pulse magnetic field processing equipment is turned on, otherwise an abnormal warning is issued.

5. A processing device for improving the grain boundary stability of bearing materials, characterized in that: include: The acquisition module is used to analyze the grain boundary angle distribution and the ratio of the double-point lattice grain boundary of the target bearing steel sample mark area to obtain the first grain boundary angle distribution and the first double-point lattice grain boundary ratio data of the original bearing steel sample. a processing module, configured to apply a pulsed magnetic field to the target bearing steel sample to analyze the grain boundary angle distribution and the re-site lattice grain boundary ratio of the same marked area of ​​the processed sample, and obtain second grain boundary angle distribution and second re-site lattice grain boundary ratio data of the processed sample; An improvement module is used to obtain the change information between the first grain boundary angle distribution and the first re-site lattice grain boundary ratio data and the second grain boundary angle distribution and the second re-site lattice grain boundary ratio data, and generate the bearing material grain boundary stability result according to the change information to match the improvement measures corresponding to the bearing material grain boundary stability result.

6. The processing device for improving the grain boundary stability of bearing materials according to claim 5, characterized in that: The processing module includes: The first processing unit is used to perform pulse magnetic field treatment on the target bearing steel sample based on preset pulse magnetic field treatment parameters, wherein the preset pulse magnetic field treatment parameters include at least one of a magnetic field intensity of 2.5-3T, a treatment frequency of 0.02-0.1Hz, and a treatment number of 40-80 times.

7. The processing device for improving the grain boundary stability of bearing materials according to claim 6, characterized in that: The processing module includes: A fixing unit, used to fix the target bearing steel sample in the cavity of the pulsed magnetic field processing equipment; The second processing unit is used to input the preset pulse magnetic field processing parameters into the pulse magnetic field processing equipment to perform pulse magnetic field processing on the target bearing steel sample.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the processing method for improving the grain boundary stability of a bearing material as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the processing method for improving the grain boundary stability of a bearing material as described in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that The computer program is executed to implement the processing method for improving the grain boundary stability of a bearing material according to any one of claims 1 to 5.

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