Blanking planning method, device and equipment based on micro-damage sampling and product

Abstract

The invention discloses a blanking planning method, device and equipment based on micro-damage sampling and a product, and relates to the technical field of industrial equipment.The method comprises the steps that the shape of a test block, size data of micro samples and the required number of the micro samples are obtained; according to the shape of the test block and the size data of the micro sample, obtaining a corresponding relation between the size parameter of the test block and the maximum sampling number of the micro sample; obtaining the minimum size of the test block according to the required quantity and the corresponding relation; and performing micro-damage sampling and blanking according to the minimum size of the test block. According to the shape of the test block and the size data of the micro-sample, the corresponding relation between the size parameter of the test block and the maximum sampling number of the micro-sample is obtained, the minimum size of the test block can be obtained by substituting the actual demand number into the corresponding relation during application, optimal micro-damage sampling blanking is carried out, material waste is reduced, and the utilization rate of the test block is improved.

Description

Technical Field

[0001] The present application relates to the technical field of industrial equipment, and particularly to a cutting plan method, device, equipment and product based on micro-damage sampling. Background Art

[0002] In the current industrial field, many major equipment face service performance degradation problems related to time, such as irradiation embrittlement of nuclear power plant containments, temper embrittlement of petrochemical hydrogenation reactors, creep of thermal power steam turbine rotors and casings, etc. The safe operation of these equipment is crucial, and destructive sampling cannot be carried out during the evaluation of equipment structural integrity. Micro-damage sampling can achieve both the integrity of the equipment structure and obtain relevant performance for evaluating the degradation state of the equipment, which is the most feasible method at present.

[0003] The volume of the test blocks obtained by micro-damage sampling is very limited, and the maximum number of micro-specimens needs to be obtained within the limited volume of the test blocks. At present, the cutting of micro-damage sampling simply relies on experience. After safety amplification, the material is greatly wasted, resulting in the need to dig more test blocks to meet the requirements of relevant performance tests. Therefore, it is necessary to optimize the cutting plan of micro-damage sampling, minimize the size of the test blocks as much as possible, reduce material waste, and improve the utilization rate of the test blocks. Summary of the Invention

[0004] The purpose of the present application is to provide a cutting plan method, device, equipment and product based on micro-damage sampling, which can optimize the cutting plan of micro-damage sampling, minimize the size of the test blocks as much as possible, reduce material waste, and improve the utilization rate of the test blocks.

[0005] To achieve the above object, the present application provides the following solutions:

[0006] In the first aspect, the present application provides a cutting plan method based on micro-damage sampling, including:

[0007] Obtain the shape of the test block, the size data of the micro-specimen and the required number of micro-specimens;

[0008] According to the shape of the test block and the size data of the micro-specimen, obtain a corresponding relationship; the corresponding relationship is the relationship between the size parameters of the test block and the maximum sampling number of the micro-specimen;

[0009] According to the required number and the corresponding relationship, obtain the minimum size of the test block;

[0010] Perform micro-damage sampling cutting according to the minimum size.

[0011] Optionally, the size data of the micro-specimen includes the thickness of the micro-specimen and the cross-sectional size of the micro-specimen; the size parameter is the thickness of the test block; the shape of the test block is a spherical crown;

[0012] Based on the shape of the test block and the dimensional data of the micro-specimen, a corresponding relationship is obtained, specifically including:

[0013] Based on the process characteristics of the micro-damage sampling method and the thickness of the micro-specimen, the maximum thickness of the test block is determined;

[0014] Within the range of the maximum thickness, multiple optional values of the test block thickness are selected;

[0015] For any one of the optional values of the test block thickness, according to the cross-sectional dimensions of the micro-specimen, the number of samplings corresponding to the optional value of the test block thickness is obtained; the number of samplings is the maximum number of samplings of the micro-specimen;

[0016] Based on each optional value of the test block thickness and the number of samplings corresponding to each optional value of the test block thickness, the relationship between the test block thickness and the maximum number of samplings of the micro-specimen is obtained.

[0017] Optionally, the optional value of the test block thickness is an integer multiple of the thickness of the micro-specimen.

[0018] Optionally, for any one of the optional values of the test block thickness, according to the cross-sectional dimensions of the micro-specimen, obtaining the number of samplings corresponding to the optional value of the test block thickness specifically includes:

[0019] The optional value of the test block thickness is divided to obtain multiple stratified thicknesses; each stratified thickness is less than twice the thickness of the micro-specimen;

[0020] Calculate the cross-sectional radius of the spherical crown body corresponding to each stratified thickness;

[0021] Based on the cross-sectional radius and the cross-sectional dimensions of the micro-specimen, the maximum number of samplings corresponding to each stratified thickness is obtained;

[0022] Sum the maximum number of samplings corresponding to each stratified thickness to obtain the number of samplings corresponding to the optional value of the test block thickness.

[0023] Optionally, the dimensional data of the micro-specimen includes the thickness of the micro-specimen and the cross-sectional dimensions of the micro-specimen; the dimensional parameter is the cross-sectional dimension of the test block; the shape of the test block is a non-spherical crown body;

[0024] Based on the shape of the test block and the dimensional data of the micro-specimen, a corresponding relationship is obtained, specifically including:

[0025] Based on the process characteristics of the micro-damage sampling method and the thickness of the micro-specimen, the maximum thickness of the test block is obtained;

[0026] Obtain a plurality of preferred values of the cross-sectional size according to the shape of the test block and the cross-sectional size of the micro-specimen;

[0027] For any one of the preferred values of the cross-sectional size, obtain the sampling number corresponding to the preferred value of the cross-sectional size according to the maximum thickness; the sampling number is the maximum sampling quantity of the micro-specimen;

[0028] According to each preferred value of the cross-sectional size and the sampling number corresponding to each preferred value of the cross-sectional size, obtain the relationship between the cross-sectional size and the maximum sampling quantity of the micro-specimen.

[0029] Optionally, obtaining a plurality of preferred values of the cross-sectional size according to the shape of the test block and the cross-sectional size of the micro-specimen specifically includes:

[0030] Obtain the cross-sectional shape of the test block according to the shape of the test block;

[0031] According to the cross-sectional shape of the test block and the cross-sectional size of the micro-specimen, obtain a plurality of preferred values of the cross-sectional size by calculating the material utilization rate.

[0032] Optionally, for any one of the preferred values of the cross-sectional size, obtaining the sampling number corresponding to the preferred value of the cross-sectional size according to the maximum thickness specifically includes:

[0033] Divide the maximum thickness to obtain a plurality of layer thicknesses; each layer thickness is less than twice the thickness of the micro-specimen;

[0034] According to the preferred value of the cross-sectional size and the cross-sectional size of the micro-specimen, obtain the maximum sampling quantity corresponding to each layer thickness;

[0035] Sum the maximum sampling quantities corresponding to each layer thickness to obtain the sampling number corresponding to the preferred value of the cross-sectional size.

[0036] In a second aspect, the present application provides a blanking planning device based on micro-damage sampling, including:

[0037] A parameter acquisition module for acquiring the shape of the test block, the size data of the micro-specimen, and the required quantity of the micro-specimen;

[0038] A correspondence acquisition module for obtaining a correspondence according to the shape of the test block and the size data of the micro-specimen; the correspondence is the relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen;

[0039] A minimum size determination module for obtaining the minimum size of the test block according to the required quantity and the correspondence;

[0040] The blanking planning module is used to perform micro-loss sampling blanking according to the minimum size.

[0041] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the above-mentioned blanking planning method based on micro-loss sampling.

[0042] In a fourth aspect, the present application provides a computer program product, including a computer program, which implements the above-mentioned blanking planning method based on micro-loss sampling when executed by a processor.

[0043] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0044] The present application provides a blanking planning method, device, equipment and product based on micro-loss sampling. By obtaining the corresponding relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen, substituting the required quantity into the above corresponding relationship to obtain the minimum size of the test block, and performing micro-loss sampling blanking according to the minimum size of the test block, material waste is reduced and the utilization rate of the test block is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0046] Figure 1 It is an application environment diagram of a blanking planning method based on micro-loss sampling in an embodiment of the present application;

[0047] Figure 2 It is a flowchart of a blanking planning method based on micro-loss sampling provided in an embodiment of the present application;

[0048] Figure 3 Provided in an embodiment of the present application Figure 2 The refined flowchart of step 202 in

[0049] Figure 4 It is a schematic diagram of the mechanical micro-loss sampling principle provided in an embodiment of the present application;

[0050] Figure 5 It is a cross-sectional view of a spherical crown body provided in an embodiment of the present application;

[0051] Figure 6 It is a schematic diagram of the method for dividing the optional values of the thickness of the spherical crown body test block provided in an embodiment of the present application;

[0052] Figure 7 Schematic diagram of sampling for each layer of the spherical crown specimen provided by an embodiment of the present application;

[0053] Figure 8 Fitting curve between the thickness of the spherical crown specimen and the maximum number of micro-specimens sampled provided by an embodiment of the present application;

[0054] Figure 9 Provided by another embodiment of the present application Figure 2 Schematic diagram of the refined process of step 202 in

[0055] Figure 10 Schematic diagram of the principle of electro-discharge micro-damage sampling provided by an embodiment of the present application;

[0056] Figure 11 Front view of the electro-discharge micro-damage sampling specimen provided by an embodiment of the present application;

[0057] Figure 12 Side view of the electro-discharge micro-damage sampling specimen provided by an embodiment of the present application;

[0058] Figure 13 Fitting curve between the cross-sectional size of the specimen and the maximum number of micro-specimens sampled under single-row layout provided by an embodiment of the present application;

[0059] Figure 14 Fitting curve between the cross-sectional size of the specimen and the maximum number of micro-specimens sampled under double-row layout provided by an embodiment of the present application;

[0060] Figure 15 Schematic diagram of the functional modules of a blanking planning device based on micro-damage sampling provided by an embodiment of the present application;

[0061] Figure 16 Schematic diagram of the structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0062] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0063] The present application provides a blanking planning method, device, equipment and product based on micro-damage sampling. By obtaining the correspondence relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen, and substituting the required quantity into the above correspondence relationship to obtain the minimum size of the test block, micro-damage sampling blanking is carried out according to the minimum size of the test block, reducing material waste and improving the utilization rate of the test block.

[0064] To make the above objects, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0065] The blanking planning method based on micro-damage sampling provided by the embodiments of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, placed in the cloud or on other servers. The terminal 102 can send the shape of the test block, the size data of the micro-specimen and the required quantity of the micro-specimen to the server 104. After receiving the shape of the test block, the size data of the micro-specimen and the required quantity of the micro-specimen, the server 104 obtains the correspondence relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen according to the shape of the test block and the size data of the micro-specimen; according to the required quantity and the correspondence relationship, obtains the minimum size of the test block; performs micro-damage sampling blanking according to the minimum size of the test block. The server 104 can feedback the obtained minimum size of the test block to the terminal 102. In addition, in some embodiments, the blanking planning method based on micro-damage sampling can also be implemented independently by the server 104 or the terminal 102. For example, the terminal 102 can directly obtain the minimum size of the test block according to the shape of the test block, the size data of the micro-specimen and the required quantity of the micro-specimen, or the server 104 can obtain the shape of the test block, the size data of the micro-specimen and the required quantity of the micro-specimen from the data storage system and calculate the minimum size of the test block.

[0066] Among them, the terminal 102 can be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers, and can also be a cloud server.

[0067] In an exemplary embodiment, as Figure 2As shown, a blanking planning method based on micro-damage sampling is provided. This method is executed by a computer device, which can be specifically executed by a computer device such as a terminal or a server alone, or jointly executed by a terminal and a server. In the embodiments of the present application, taking the application of this method to Figure 1 server 104 in it as an example for illustration, it includes the following steps 201 to 204. Among them:

[0068] Step 201, obtain the shape of the test block, the size data of the micro-specimen, and the required quantity of the micro-specimen.

[0069] For different micro-damage sampling methods, due to their different process characteristics, the shapes of the obtained test blocks are different. In addition, for different performance test objectives and methods, the shapes and sizes of the required micro-specimens are also different. Therefore, when performing blanking planning, it is first necessary to determine the shape of the test block according to the micro-damage sampling method, and determine the size data of the micro-specimen and the required quantity of the micro-specimen according to the performance test objective and method.

[0070] The forms of micro-specimens are diverse. Since the small punch micro-specimen is the most widely studied and applied, in an exemplary embodiment, the small punch micro-specimen is selected as the form of the micro-specimen. In this embodiment, the small punch micro-specimen is a cylinder with a bottom radius of 5 mm and a thickness of 0.5 mm. Considering the requirements of wire cutting and surface pre-grinding, the thickness of the micro-specimen is set to 0.7 mm.

[0071] For the research of small punch specimens in this embodiment, based on different evaluation objects and different mechanical property test contents, the required quantities of the corresponding micro-specimens are also different. For example, 3 micro-specimens are required for tensile test at a single temperature, the required quantity of micro-specimens for fracture toughness test can be 3 or 7, 5 - 6 micro-specimens are required for creep conversion test, 27 - 36 micro-specimens are required for ductile-brittle transition test, and 30 - 50 micro-specimens are required for fatigue test. In practical applications, the required quantity of micro-specimens is determined according to the actual test requirements.

[0072] Step 202, obtain a corresponding relationship according to the shape of the test block and the size data of the micro-specimen; the corresponding relationship is the relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen.

[0073] Step 203, obtain the minimum size of the test block according to the required quantity and the corresponding relationship.

[0074] Step 204, perform micro-damage sampling blanking according to the minimum size.

[0075] In another exemplary embodiment, the size data of the micro-specimen includes the thickness of the micro-specimen and the cross-sectional size of the micro-specimen; the size parameter is the thickness of the test block; the mechanical micro-damage sampling method is selected, and the shape of the obtained test block is a spherical crown. As Figure 3 shown, the above step 202 is replaced by the following steps 301 to 304:

[0076] Step 301, determine the maximum thickness of the test block according to the process characteristics of the micro-damage sampling method and the thickness of the micro-specimen.

[0077] Step 302, select multiple optional values of the test block thickness within the range of the maximum thickness.

[0078] Step 303, for any one of the optional values of the test block thickness, obtain the sampling number corresponding to the optional value of the test block thickness according to the cross-sectional size of the micro-specimen; the sampling number is the maximum sampling quantity of the micro-specimen.

[0079] Step 304, obtain the relationship between the test block thickness and the maximum sampling quantity of the micro-specimen according to each optional value of the test block thickness and the sampling number corresponding to each optional value of the test block thickness.

[0080] In another exemplary embodiment, step 303 specifically includes: dividing the optional value of the test block thickness to obtain multiple stratified thicknesses; each stratified thickness is less than twice the thickness of the micro-specimen. Calculate the cross-sectional radius of the spherical crown corresponding to each stratified thickness. According to the cross-sectional radius and the cross-sectional size of the micro-specimen, obtain the maximum sampling quantity corresponding to each stratified thickness. Sum the maximum sampling quantities corresponding to each stratified thickness to obtain the sampling number corresponding to the optional value of the test block thickness.

[0081] In another exemplary embodiment, the optional value of the test block thickness is an integer multiple of the thickness of the micro-specimen.

[0082] The principle of mechanical micro-damage sampling is as Figure 4 shown. The micro-specimen is excavated by coupling the high-speed rotation of the cutting shaft 401 and the rotary feed of the feed shaft 402. When the diameter of the cutter is 50 mm, the shape of the test block is a spherical crown. The cross-sectional schematic diagram of the spherical crown is as Figure 5 shown. Generally, the radius R0 of the spherical crown test block is less than or equal to 20 mm, and the thickness H is less than or equal to 5 mm. The relationship between the radius R0 and the thickness H is as follows:

[0083] (25 - H) 2 + R0 2 = 625.

[0084] Due to the thickness limitation of the spherical crown body, micro-specimen sampling can only be carried out layer by layer. In this embodiment, considering that the edge of the small punch cylinder micro-specimen has no influence on the mechanical property test, the optional values of the thickness of the spherical crown body specimen are evenly divided, and the thickness of each layer is equal to the thickness of the micro-specimen. Taking the maximum optional value of the thickness H of the spherical crown body specimen as an example, the method for dividing the optional values of the thickness of the spherical crown body specimen is as Figure 6 shown, where h0 represents the thickness of each layer after uniform division. In this embodiment, the value of h0 is equal to the thickness of the micro-specimen.

[0085] The sampling of small punches in each layer can be approximated as cutting as many small circles with a radius of r as possible within a large circle with a radius of R, as Figure 7 shown, where R represents the cross-sectional radius of each layer of the spherical crown body, and r represents the bottom radius of the small punch micro-specimen. Based on the principle that the small circles are tangent to the large circle and the small circles are tangent to each other, the maximum number of small circles arranged in the large circle within each layer can be achieved.

[0086] Taking the maximum optional value of the thickness H of the spherical crown body specimen as an example, after dividing the optional values of the thickness of the specimen, the cross-sectional radius of the spherical crown body corresponding to each sampling layer and the maximum number of micro-specimen samplings are shown in Table 1.

[0087] Table 1 Cross-sectional radius of spherical crown body corresponding to each sampling layer and maximum number of micro-specimen samplings

[0088]

[0089] Assuming that the thickness of the small punch micro-specimen is 0.7 mm and the maximum value of the thickness H of the spherical crown body specimen is 5 mm, within the maximum range of the thickness H of the spherical crown body specimen, multiple optional values of the specimen thickness are selected, and the different optional values of the specimen thickness and their corresponding maximum numbers of micro-specimen samplings are shown in Table 2.

[0090] Table 2 Maximum number of micro-specimen samplings corresponding to different optional values of specimen thickness

[0091]

[0092] According to Table 2, the relationship between the thickness of the spherical crown body specimen and the maximum number of micro-specimen samplings can be obtained. In this embodiment, a fitting relationship between the thickness of the spherical crown body specimen and the maximum number of micro-specimen samplings is established.

[0093] The fitting formula is as follows:

[0094] N = 1.1419H 2 - 1.4699H + 0.5641.

[0095] Where N is the maximum number of micro-specimen samplings; H is the thickness of the spherical crown body specimen.

[0096] According to the above fitting formula, a fitting curve between the thickness of the spherical crown specimen and the maximum sampling number of the micro-specimens is obtained, as Figure 8 shown.

[0097] In another exemplary embodiment, the size data of the micro-specimen includes the thickness of the micro-specimen and the cross-sectional size of the micro-specimen; the size parameter is the cross-sectional size of the specimen; the electro-discharge micro-erosion sampling method is selected, and the shape of the obtained specimen is a non-spherical crown. As Figure 9 shown, the above step 202 is replaced by the following steps 901 to 904:

[0098] Step 901, according to the process characteristics of the micro-erosion sampling method and the thickness of the micro-specimen, obtain the maximum thickness of the specimen.

[0099] Step 902, according to the shape of the specimen and the cross-sectional size of the micro-specimen, obtain multiple preferred values of the cross-sectional size.

[0100] Step 903, for any one of the preferred values of the cross-sectional size, according to the maximum thickness, obtain the sampling number corresponding to the preferred value of the cross-sectional size; the sampling number is the maximum sampling number of the micro-specimens.

[0101] Step 904, according to each preferred value of the cross-sectional size and the sampling number corresponding to each preferred value of the cross-sectional size, obtain the relationship between the cross-sectional size and the maximum sampling number of the micro-specimens.

[0102] In another exemplary embodiment, step 902 specifically includes: according to the shape of the specimen, obtain the cross-sectional shape of the specimen. According to the cross-sectional shape of the specimen and the cross-sectional size of the micro-specimen, by calculating the material utilization rate, obtain multiple preferred values of the cross-sectional size.

[0103] In another exemplary embodiment, step 903 specifically includes: divide the maximum thickness to obtain multiple layer thicknesses; each layer thickness is less than twice the thickness of the micro-specimen. According to the preferred value of the cross-sectional size and the cross-sectional size of the micro-specimen, obtain the maximum sampling number corresponding to each layer thickness. Sum the maximum sampling numbers corresponding to each layer thickness to obtain the sampling number corresponding to the preferred value of the cross-sectional size.

[0104] The principle of electro-discharge micro-erosion sampling is as Figure 10 shown. By discharging the electrode 1001, an electric arc 1002 is generated, and at the same time, it is cooled with the coolant 1003. The movement trajectory of the electrode 1001 is set, and the specimen 1005 is dug on the device 1004. According to the sampling principle, the front view and side view of the electro-discharge micro-erosion sampling specimen are respectively as Figure 11 andFigure 12 As shown. The lower base of the trapezoidal cross-section of the test block is L1, the upper base is L2, the width of the test block is W, and the thickness is H D . Generally, L1 is less than or equal to 50 mm, H D is less than or equal to 5 mm, and W is less than or equal to 20 mm.

[0105] The cross-sectional area of the test block obtained by micro-damage sampling with electric discharge machining is approximately rectangular. In this embodiment, according to the shape of the test block obtained by micro-damage sampling with electric discharge machining and the size data of the micro-specimen of the small punch, the strip layout method is selected for micro-specimen sampling. When the width W of the test block is limited to about 10 mm, single-row layout is carried out; when the width W of the test block is limited to about 20 mm, multi-row layout is carried out.

[0106] For any rectangular cross-section of the test block, by calculating the material utilization rate of the layout, when single-row layout is carried out, the optimal value of the length L of the rectangular cross-section d = 2mr, and the optimal value of the width W d = 2r; when double-row layout is carried out, the optimal value of the length L of the rectangular cross-section s = 2nr, and the optimal value of the width where r represents the bottom radius of the micro-specimen of the small punch, and m and n are any positive integers. In addition, by comparing the material sampling utilization rate, when the difference between the lower base L1 and the upper base L2 of the trapezoidal cross-section of the test block is 2r, the material utilization rate is the highest.

[0107] In this embodiment, according to the process characteristics of the micro-damage sampling method with electric discharge machining and the thickness of the micro-specimen of the small punch, the thickness H of the test block D is set to the maximum value of 5 mm. Taking the bottom surface of the test block as the reference, different optimal values of the length of the lower base L1 of the trapezoidal cross-section of the test block are set, and corresponding different optimal values of the length of the upper base L2 of the trapezoidal cross-section of the test block are obtained. Different optimal values of the width W of the test block are set. Since W is less than or equal to 20 mm under the micro-damage sampling process with electric discharge machining, the values of W are respectively set to 10 mm and 18.7 mm, corresponding to single-row layout and double-row layout respectively. According to the thickness H of the test block D and the thickness of the micro-specimen, the test block is equally divided into 7 layers in the thickness direction, and the thickness of each layer is 0.7 mm, that is, the thickness of the micro-specimen of the small punch. According to the optimal values of the cross-section size and the cross-sectional size of the micro-specimen, the maximum sampling quantity of each layer is obtained respectively. The maximum sampling quantities of each layer are summed up to obtain the maximum sampling number corresponding to the optimal values of the cross-section size.

[0108] When micro-specimen sampling is carried out by the single-row layout method, the different optimal values of the test block cross-section size and the corresponding maximum sampling quantity of the micro-specimen are shown in Table 3.

[0109] Table 3 Maximum sampling quantity of micro-specimen corresponding to different optimal values of test block cross-section size under single-row layout

[0110]

[0111]

[0112] According to Table 3, the relationship between the cross-sectional size of the specimen block in single-row layout and the maximum number of micro-specimens sampled can be obtained. In this embodiment, a fitting relationship between the cross-sectional size of the specimen block and the maximum number of micro-specimens sampled is established. The fitting formula is as follows:

[0113] N = 0.7L1 - 6.

[0114] Where N is the maximum number of micro-specimens sampled; L1 is the lower base of the trapezoidal cross-section of the specimen block.

[0115] According to the above fitting formula, the fitting curve between the cross-sectional size of the specimen block in single-row layout and the maximum number of micro-specimens sampled is obtained, as Figure 13 shown.

[0116] When sampling micro-specimens by double-row layout method, the preferred values of different cross-sectional sizes of the specimen block and their corresponding maximum numbers of micro-specimens sampled are shown in Table 4.

[0117] Table 4 Maximum number of micro-specimens sampled corresponding to preferred values of different cross-sectional sizes of the specimen block in double-row layout

[0118] <![CDATA[L1 / mm]]> W / mm <![CDATA[H D / mm]]> Maximum sampling quantity Material utilization rate / % 10 18.7 5 1 11.8 20 18.7 5 10 39.2 30 18.7 5 24 56.4 40 18.7 5 38 63.8 50 18.7 5 52 67.9

[0119] According to Table 4, the relationship between the cross-sectional size of the specimen block in double-row layout and the maximum number of micro-specimens sampled can be obtained. In this embodiment, a fitting relationship between the cross-sectional size of the specimen block and the maximum number of micro-specimens sampled is established. The fitting formula is as follows:

[0120] N = 1.3L1 - 14.

[0121] Where N is the maximum number of micro-specimens sampled; L1 is the lower base of the trapezoidal cross-section of the specimen block.

[0122] According to the above fitting formula, the fitting curve between the cross-sectional size of the specimen block in double-row layout and the maximum number of micro-specimens sampled is obtained, as Figure 14 shown.

[0123] Based on the same inventive concept, the embodiment of the present application also provides a blanking planning device based on micro-damage sampling for implementing the above-mentioned blanking planning method based on micro-damage sampling. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the blanking planning device based on micro-damage sampling provided below can refer to the limitations on the blanking planning method based on micro-damage sampling in the above text, and will not be repeated here.

[0124] In an exemplary embodiment, asFigure 15 As shown in the figure, the present application also provides a cutting plan device based on micro-damage sampling. The cutting plan device based on micro-damage sampling includes: a parameter acquisition module 1501, a correspondence acquisition module 1502, a minimum size determination module 1503, and a cutting plan module 1504. Among them, the parameter acquisition module 1501 is used to acquire the shape of the test block, the size data of the micro-specimen, and the required quantity of the micro-specimen. The correspondence acquisition module 1502 is used to obtain a correspondence according to the shape of the test block and the size data of the micro-specimen. The correspondence is the relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen. The minimum size determination module 1503 is used to obtain the minimum size of the test block according to the required quantity and the correspondence. The cutting plan module 1504 is used to perform micro-damage sampling cutting according to the minimum size.

[0125] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as shown in Figure 16 the figure. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the shape of the test block, the size data of the micro-specimen, and the required quantity of the micro-specimen. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a cutting plan method based on micro-damage sampling.

[0126] Those skilled in the art can understand that Figure 16 the structure shown in the figure is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0127] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which when executed by a processor, implements the steps in the above method embodiments.

[0128] In an exemplary embodiment, a computer program product is provided, including a computer program, which when executed by a processor, implements the steps in the above method embodiments.

[0129] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0130] Those of ordinary skill in the art can understand that all or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above method embodiments. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random-access memories (ReRAM), magnetoresistive random-access memories (MRAM), ferroelectric random-access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0131] In each of the embodiments provided in this application, the databases involved may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on a blockchain, etc., and is not limited thereto. In each of the embodiments provided in this application, the processor may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., and is not limited thereto.

[0132] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0133] Specific examples are used in this article to elaborate on the principles and implementation manners of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A material cutting planning method based on micro-damage sampling, characterized in that: The material cutting planning method based on micro-damage sampling includes: Obtain the shape of the test block, the size data of the micro-specimen and the required number of micro-specimens; According to the shape of the test block and the size data of the micro-sample, a corresponding relationship is obtained; the corresponding relationship is the relationship between the size parameter of the test block and the maximum sampling quantity of the micro-sample; According to the required quantity and the corresponding relationship, obtaining the minimum size of the test block; Sampling with minimal damage is carried out according to the minimum size.

2. The material cutting planning method based on micro-damage sampling according to claim 1 is characterized in that: The size data of the micro-sample includes the thickness of the micro-sample and the cross-sectional size of the micro-sample; the size parameter is the thickness of the test block; the shape of the test block is a spherical cap; According to the shape of the test block and the size data of the micro-specimen, a corresponding relationship is obtained, which specifically includes: Determining the maximum thickness of the test block according to the process characteristics of the micro-damage sampling method and the thickness of the micro-specimen; Within the range of the maximum thickness, select a plurality of optional values ​​of the test block thickness; For any optional value of the test block thickness, the number of samples corresponding to the optional value of the test block thickness is obtained according to the cross-sectional size of the micro-specimen; the number of samples is the maximum number of samples of the micro-specimen; According to each optional value of the test block thickness and the number of samples corresponding to each optional value of the test block thickness, the relationship between the test block thickness and the maximum sampling number of the micro-specimen is obtained.

3. The material cutting planning method based on micro-damage sampling according to claim 2 is characterized in that: The optional value of the test block thickness is an integer multiple of the thickness of the micro-specimen.

4. The material cutting planning method based on micro-damage sampling according to claim 2 is characterized in that: For any optional value of the test block thickness, the number of samples corresponding to the optional value of the test block thickness is obtained according to the cross-sectional size of the micro-specimen, specifically including: Dividing the optional values ​​of the test block thickness to obtain a plurality of layered thicknesses; each layered thickness is less than twice the thickness of the micro-specimen; Calculate the cross-sectional radius of the spherical cap corresponding to each layer thickness; According to the cross-sectional radius and the cross-sectional size of the micro-specimen, a maximum sampling quantity corresponding to each layer thickness is obtained; The maximum sampling quantities corresponding to each layer thickness are summed to obtain the sampling number corresponding to the optional value of the test block thickness.

5. The material cutting planning method based on micro-damage sampling according to claim 1 is characterized in that: The size data of the micro-sample includes the thickness of the micro-sample and the cross-sectional size of the micro-sample; the size parameter is the cross-sectional size of the test block; the shape of the test block is a non-spherical crown; According to the shape of the test block and the size data of the micro-specimen, a corresponding relationship is obtained, which specifically includes: According to the process characteristics of the micro-damage sampling method and the thickness of the micro-specimen, the maximum thickness of the test block is obtained; According to the shape of the test block and the cross-sectional dimensions of the micro-specimen, a plurality of cross-sectional dimension optimization values ​​are obtained; For any of the above-mentioned preferred cross-sectional dimensions, the number of samples corresponding to the above-mentioned preferred cross-sectional dimensions is obtained according to the above-mentioned maximum thickness; the above-mentioned number of samples is the maximum number of samples of the above-mentioned micro-specimens; According to each of the preferred values ​​of the cross-sectional dimensions and the number of samples corresponding to each of the preferred values ​​of the cross-sectional dimensions, the relationship between the cross-sectional dimensions and the maximum number of samples to be sampled is obtained.

6. The material cutting planning method based on micro-damage sampling according to claim 5 is characterized in that: According to the shape of the test block and the cross-sectional dimensions of the micro-specimen, a plurality of cross-sectional dimension preferred values ​​are obtained, specifically including: According to the shape of the test block, obtaining the cross-sectional shape of the test block; According to the cross-sectional shape of the test block and the cross-sectional size of the micro-specimen, a plurality of cross-sectional size preferred values ​​are obtained by calculating the material utilization rate.

7. The material cutting planning method based on micro-damage sampling according to claim 5 is characterized in that: For any of the preferred cross-sectional dimensions, according to the maximum thickness, the number of samples corresponding to the preferred cross-sectional dimensions is obtained, specifically including: Dividing the maximum thickness to obtain a plurality of layered thicknesses; each layered thickness is less than twice the thickness of the micro-specimen; According to the preferred value of the cross-sectional size and the cross-sectional size of the micro-specimen, the maximum number of samples corresponding to each layer thickness is obtained; The maximum number of samples corresponding to each layer thickness is summed to obtain the number of samples corresponding to the preferred value of the cross-sectional size.

8. A material cutting planning device based on micro-damage sampling, applied to the material cutting planning method based on micro-damage sampling according to any one of claims 1 to 7, characterized in that: The material cutting planning device based on micro-loss sampling comprises: A parameter acquisition module is used to obtain the shape of the test block, the size data of the micro-specimen and the required number of micro-specimens; A corresponding relationship acquisition module, used to obtain a corresponding relationship according to the shape of the test block and the size data of the micro-specimen; the corresponding relationship is the relationship between the size parameters of the test block and the maximum sampling quantity of the micro-specimen; A minimum size determination module, used to obtain the minimum size of the test block according to the required quantity and the corresponding relationship; The material cutting planning module is used for performing minimal damage sampling and cutting according to the minimum size.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the material cutting planning method based on micro-damage sampling as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the material cutting planning method based on micro-damage sampling described in any one of claims 1 to 7 is implemented.

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