A safety monitoring method and system based on Leeb hardness of metal components

Abstract

The present application relates to a safety monitoring method and system based on the Leeb hardness of metal components, wherein the method includes: establishing a mathematical correlation model between the Leeb hardness, yield strength, and strain hardening index of a metal material; detecting the Leeb hardness and strain hardening index of a metal component manufactured based on the metal material, and calculating the yield strength of the metal component through the mathematical correlation model; and determining whether the metal component meets the safe service requirements of the unit component based on the yield strength of the metal component. Through this application, the problem of how to accurately monitor the service safety of metal components based on Leeb hardness is solved. The influence of the Leeb hardness and strain hardening index of the metal material on the yield strength is comprehensively considered, and the construction of a mathematical correlation model is realized. Based on the model, the yield strength of the metal component is accurately calculated to determine whether it meets the safe service requirements.

Description

Technical Field

[0001] The present application relates to the field of mechanical properties of metal materials, and in particular to a safety monitoring method and system based on the Leeb hardness of metal components. Background Art

[0002] In industrial production, metal materials are widely used in the main steam piping and high-temperature components of gas-fired and subcritical units. The design service life of these metal components is generally around 30 years. To ensure the safe operation of the units, regular microstructure and performance monitoring of in-service metal components is required to ensure that the yield strength of the metal components during service meets the design requirements.

[0003] Currently, nondestructive testing methods such as hardness testing can be used to understand the evolution of the microstructure and properties of a unit's metal components during service. Hardness testing methods are divided into static and dynamic methods, with Leeb hardness being a dynamic test. Therefore, to ensure the safe operation of thermal power generation units, regular Leeb hardness testing of the unit's metal components is performed, and then the service safety of the metal components is assessed based on the empirical relationship between hardness and the yield strength of the metal material. However, assessments based on this empirical relationship often have significant errors.

[0004] Currently, no effective solution has been proposed for the problem of how to accurately monitor the service safety of metal components based on Leeb hardness in related technologies. Summary of the Invention

[0005] The embodiments of the present application provide a safety monitoring method and system based on the Leeb hardness of metal components, so as to at least solve the problem in the related art of how to accurately monitor the service safety of metal components based on the Leeb hardness.

[0006] In a first aspect, an embodiment of the present application provides a safety monitoring method based on the Leeb hardness of a metal component, the method comprising:

[0007] Establish a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of metal materials 0.2 =-(0.59625 / n)*L-(0.000272 / n2)*L2+698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, and n is the strain hardening exponent of the metal material;

[0008] detecting the Leeb hardness and strain hardening index of a metal component manufactured from the metal material, and calculating the yield strength of the metal component using the mathematical correlation model;

[0009] According to the yield strength of the metal component, it is determined whether the metal component meets the safe service requirements of the unit component.

[0010] In some embodiments, before establishing the mathematical correlation model between the Leeb hardness, yield strength, and strain hardening exponent of the metal material, the method further includes:

[0011] Cutting the metal material according to GB / T 228.2-2015 standard to obtain a tensile test specimen and a hardness test specimen of the metal material;

[0012] Measuring the Leeb hardness of the metal material based on the hardness test sample;

[0013] The yield strength and strain hardening index of the metal material are measured based on the tensile specimen.

[0014] In some embodiments, determining the Leeb hardness of the metal material based on the hardness test sample includes:

[0015] Based on the hardness test sample, the Leeb hardness of the metal material is measured using a handheld Leeb hardness tester in accordance with GB / T 231.4-2009 standard.

[0016] In some embodiments, determining the Leeb hardness of the metal material based on the hardness test sample further includes:

[0017] Impacting the surface of the hardness test sample with an impact body of a preset mass, and measuring the impact velocity and rebound velocity of the impact body at a distance of 1 mm from the surface of the hardness test sample;

[0018] The Leeb hardness of the metal material is calculated by the formula HL=1000*Vb / Va, wherein HL is the Leeb hardness of the metal material, Va is the impact velocity of the impact body, and Vb is the rebound velocity of the impact body.

[0019] In some embodiments, determining the yield strength of the metal material based on the tensile specimen includes:

[0020] Based on the tensile specimen, the yield strength of the metal material is measured in accordance with GB / T 228.1-2010 standard.

[0021] In some embodiments, determining the strain hardening index of the metal material based on the tensile specimen includes:

[0022] Based on the tensile specimen, the strain hardening index of the metal material is measured using a tensile testing machine and an extensometer in accordance with GB / T 5028-2008 standard.

[0023] In some embodiments, determining the Leeb hardness, yield strength, and strain hardening index of the metal material includes:

[0024] The Leeb hardness, yield strength and strain hardening index of the metal material are measured at room temperature.

[0025] In some embodiments, the metal material is steel.

[0026] In some embodiments, the steel material is P91 steel.

[0027] In a second aspect, an embodiment of the present application provides a safety monitoring system for metal components, the system comprising a model construction module, a detection calculation module, and a safety determination module;

[0028] The model building module is used to establish a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of metal materials 0.2 =-(0.59625 / n)*L-(0.000272 / n2)*L2+698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, and n is the strain hardening exponent of the metal material;

[0029] The detection and calculation module is used to detect the Leeb hardness and strain hardening index of the metal component manufactured based on the metal material, and calculate the yield strength of the metal component through the mathematical correlation model;

[0030] The safety determination module is used to determine whether the metal component meets the unit component safety service requirements based on the yield strength of the metal component.

[0031] Compared with the related art, the embodiment of the present application provides a safety monitoring method and system based on the Leeb hardness of metal components. The method establishes a mathematical correlation model between the Leeb hardness, yield strength and strain hardening index of the metal material; detects the Leeb hardness and strain hardening index of the metal component manufactured based on the metal material, and calculates the yield strength of the metal component through the mathematical correlation model; determines whether the metal component meets the safe service requirements of the unit component based on the yield strength of the metal component, solves the problem of how to accurately monitor the service safety of the metal component based on the Leeb hardness, comprehensively considers the influence of the Leeb hardness and strain hardening index of the metal material on the yield strength, realizes the construction of the mathematical correlation model, and accurately calculates the yield strength of the metal component based on the model to determine whether it meets the safe service requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0033] Figure 1 is a flowchart of the steps of a safety monitoring method based on Leeb hardness of a metal component according to an embodiment of the present application;

[0034] Figure 2 is a structural block diagram of a safety monitoring system based on Leeb hardness of metal components according to an embodiment of the present application;

[0035] Figure 3 Schematic diagram of the internal structure of an electronic device according to an embodiment of the present application.

[0036] Description of the accompanying drawings: 21. Model construction module; 22. Detection and calculation module; 23. Safety judgment module. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is described and illustrated below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely used to explain this application and are not intended to limit this application. Based on the embodiments provided in this application, all other embodiments obtained by those of ordinary skill in the art without making any creative efforts are within the scope of protection of this application.

[0038] Obviously, the drawings described below are merely examples or embodiments of the present application. Those skilled in the art can, without inventive effort, apply the present application to other similar scenarios based on these drawings. Furthermore, it is also understood that, although the effort involved in such a development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, changes in design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as an insufficiency of the content disclosed in this application.

[0039] References to "embodiments" in this application mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it refer to independent or alternative embodiments that are mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described in this application may be combined with other embodiments unless there is a conflict.

[0040] Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by a person of ordinary skill in the technical field to which this application belongs. The words "one", "a", "the" and the like used in this application do not indicate a limit on quantity and may indicate the singular or plural. The terms "include", "comprise", "have" and any variations thereof used in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units that are inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The word "multiple" used in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0041] Leeb hardness reflects the sample's ability to resist elastic and plastic deformation. From an energy perspective, Leeb hardness measurement relies on the conversion of kinetic energy into potential energy. The impactor on the durometer, carrying a certain amount of energy, impacts the stationary specimen, causing both elastic and plastic deformation. The plastic deformation absorbs some of the impactor's kinetic energy, while the remaining kinetic energy is absorbed by the elastic deformation and converted into elastic potential energy. When the impactor's velocity reaches zero, the converted elastic potential energy propels the impactor back, resulting in the Leeb hardness value. Therefore, the Leeb hardness value depends on the proportion of the elastic potential energy to the total kinetic energy of the impactor. Elastic and plastic deformation are related to the material's elastic modulus (E) and strain hardening exponent (n), respectively. Therefore, the Leeb hardness value is also related to these values. The elastic modulus is generally considered an inherent material property, remaining essentially constant at room temperature and insensitive to microstructure. However, the strain hardness exponent (n) of metallic materials varies with microstructure.

[0042] The inventors have found through research that, in most cases, the yield strength and Leeb hardness of metal materials at room temperature are positively correlated, that is, the larger the Leeb hardness value, the higher the yield strength of the material. However, measured data show that there is also an abnormal negative correlation between the room temperature yield strength and the room temperature Leeb hardness of metal materials. Comprehensive analysis shows that, in addition to being closely related to the yield strength of the material, the Leeb hardness of the metal material is also related to the strain hardening index n of the material. Therefore, the present invention proposes a mathematical correlation model constructed based on Leeb hardness, strain hardening index and yield strength. By establishing a correlation model between the room temperature yield strength and the room temperature Leeb hardness and strain hardness index n value, it has important engineering significance for accurately monitoring the performance changes of metal components during online service and ensuring service safety.

[0043] The embodiment of the present application provides a safety monitoring method based on the Leeb hardness of metal components. Figure 1 is a flowchart of the steps of the safety monitoring method based on the Leeb hardness of metal components according to an embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0044] Step S102: Establishing a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of the metal material 0.2 =-(0.59625 / n)*L-(0.000272 / n2)*L2+698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, and n is the strain hardening exponent of the metal material;

[0045] Step S104: detecting the Leeb hardness and strain hardening index of the metal component made of metal material, and calculating the yield strength of the metal component through a mathematical correlation model;

[0046] Step S106: Determine whether the metal component meets the unit component safety service requirements based on the yield strength of the metal component.

[0047] Before executing step S102, the following steps are also included:

[0048] Step 1: Cut the metal material according to GB / T 228.2-2015 standard to obtain a tensile test specimen and a hardness test specimen of the metal material; preferably, the metal material is high-strength martensitic heat-resistant P91 steel.

[0049] Step 2: Use a portable handheld Leeb hardness tester to test the hardness of P91 steel. The hardness of the hardness test sample is measured at room temperature according to GB / T231.4-2009 standard. Each group of parallel samples consists of 3, and the average value is finally taken to obtain the Leeb hardness of the metal material (P91 steel) at room temperature.

[0050] Step 3: The yield strength of P91 steel is measured at room temperature according to GB / T 228.1-2010 ("Tensile testing of metallic materials - Part 1: Room temperature tests"). At least three parallel specimens are tested for each group of specimens, and the average value is finally taken to obtain the yield strength of the metal material (P91 steel) at room temperature.

[0051] Step 4: Use a tensile testing machine that meets the GB / T 16825.1 standard of level 1 or higher, and an extensometer that meets the GB / T 12160 standard of level 2 or better, and conduct a tensile test in accordance with the GB / T 5028-2008 standard (Metallic materials. Sheet and strip. Determination of tensile strain hardening index (n value)). Use the least squares method to calculate the strain hardening index n of the metal material (P91 steel).

[0052] It should be added that, from steps 1 to 4, it can be seen that the mathematical correlation model σ constructed in step S102 0.2 =-(0.59625 / n)*L-(0.000272 / n2)*L2+698.98, where σ 0.2 Preferably, it is the room temperature yield strength of P91 steel, L is preferably the room temperature Leeb hardness of P91 steel, and n is preferably the room temperature strain hardening exponent of P91 steel within the strain range (0.2% to 1%);

[0053] In addition, the Leeb hardness of the metal material in the above step 2 can also be measured by the following steps:

[0054] 1) Use an impact body of preset mass to impact the surface of the hardness test specimen at a certain speed under the action of elastic force, and measure the impact velocity and rebound velocity of the impact body at a distance of 1 mm from the surface of the hardness test specimen;

[0055] 2) The Leeb hardness of the metal material is calculated using the formula HL=1000*Vb / Va, where HL is the Leeb hardness of the metal material, Va is the impact velocity of the impact body, and Vb is the rebound velocity of the impact body.

[0056] Through steps S102 to S106 in the embodiment of the present application, the problem of how to accurately monitor the service safety of metal components based on Leeb hardness is solved. The influence of the Leeb hardness and strain hardening index of the metal material on the yield strength is comprehensively considered, and the construction of a mathematical correlation model is realized. Based on the model, the yield strength of the metal component is accurately calculated to determine whether it meets the safe service requirements.

[0057] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0058] The present application provides a safety monitoring method based on the Leeb hardness of metal components, and also includes several preferred embodiments.

[0059] Preferred embodiment 1, the Leeb hardness, yield strength and n value of the P91 steel pipe of the main steam pipeline of a subcritical unit that has been in service for more than 100,000 hours are measured, and then a correlation model between the room temperature yield strength and the Leeb hardness and n value is established. The specific implementation steps are as follows:

[0060] Materials were cut from different positions of a P91 steel pipe that had been in service for a long time at a high temperature of 540°C, and then made into tensile specimens and hardness test specimens, with three parallel specimens each.

[0061] Room temperature tensile tests were conducted at 25°C in accordance with GB / T 228.1-2010, "Tensile testing of metallic materials - Part 1: Room temperature test methods." The yield strength, tensile strength, and elongation of the P91 steel pipe were determined at different locations.

[0062] The strain hardening index n reflects the ability of metal materials to resist uniform plastic deformation. According to the principle of least squares method, the strain hardness index n of the alloy plate corresponding to different calculation starting strains and calculation end strains is calculated using formula (1):

[0063]

[0064] Where n is the number of calculated strain points selected within the calculated strain range; ε i is the instantaneous true strain corresponding to the calculated strain point; σ i To calculate the instantaneous true stress corresponding to the strain point, according to the requirements of GB / T 5028-2008, the starting strain point of the n value test is σ = 0.2%, and the end strain value is σ = 3% within the plastic deformation. Samples are taken from certain locations on the P91 steel pipe, and the n value of the tensile specimens is measured.

[0065] The hardness of P91 steel was measured at room temperature using a portable handheld Leeb hardness tester according to the national standard GB / T 231.4-2009. Each group of parallel specimens consisted of three groups, and the average value was finally taken.

[0066] Table 1 shows the Leeb hardness and corresponding room temperature yield strength at different positions of the P91 steel pipe in the preferred embodiment 1. The measured yield strength and Leeb hardness in Table 1 are fitted to obtain the mathematical correlation model:

[0067] σ 0.2 = -(0.59625 / n) * L - (0.000272 / n2) * L2 + 698.98 (2)

[0068] When n = 0.25, as shown in Table 1, the measured yield strength values ​​at all test points, except test point 8, have a very high degree of fit with the model-calculated values, with a correlation coefficient R2 of approximately 0.988. However, the measured Leeb hardness at test point 8 is 475HL, and the measured yield strength is 508MPa. However, if n = 0.25, the yield strength calculated by the model is 548MPa, a difference of 40MPa between the model-calculated and measured values. The Leeb hardness of a metal material is related to its elastic modulus and strain hardening exponent n. The elastic modulus of most metal materials is a tissue-insensitive physical quantity and remains essentially unchanged, but the n value of a metal material is a tissue-sensitive quantity. Therefore, the n value of test point 8 was measured and the result was 0.27. After substituting n = 0.27 and L = 475 into the mathematical correlation model (Equation 2 above), the calculated yield strength is 501MPa, which is close to the measured yield strength of 508MPa. This indicates that the n value of the P91 steel pipe changes during service due to structural changes. This increase in n value can lead to the abnormal phenomenon of higher hardness and lower yield strength in the steel pipe. Therefore, it is necessary to test the steel pipe's Leeb hardness and measure its strain hardness index to fully ensure the safe service of the unit's metal components.

[0069] Table 1

[0070]

[0071]

[0072] Preferred Examples 2 to 4 were conducted on a 15-year-old P91 steel pipe used in the main steam pipeline of a thermal power plant. The pipe had a saturated vapor pressure of 17.4 MPa and a service temperature of 563°C. Samples were taken from various locations on the pipe and subjected to tensile tests to determine yield strength and n-value. Leeb hardness was also measured on the samples.

[0073] The measured yield strength and Leeb hardness are fitted to obtain the mathematical correlation model:

[0074] σ 0.2 = -(0.59625 / n) * L - (0.000272 / n2) * L2 + 698.98 (2)

[0075] Table 2 shows the Leeb hardness and corresponding room-temperature yield strength at various locations on the P91 steel pipe in Preferred Example 2. As shown in Table 2, when n = 0.25, the yield strength values ​​calculated using the mathematical correlation model (Formula 2 above) at various locations on the P91 steel pipe in Preferred Example 2 are substantially consistent with the measured values, indicating that the hardness and yield strength substantially satisfy the mathematical relationship proposed by the present invention.

[0076] Table 2

[0077] Detection Point Leeb hardness / HL Yield strength (measured value) Yield strength (calculated value) Standard Deviation 1 421 471 466 3.360290 2 434 483 484 0.435091 3 441 495 494 1.006699 4 452 513 510 2.056968 5 458 522 520 1.737412 6 465 531 531 0.023900 7 474 544 546 1.612170 8 478 550 553 2.342198 9 482 561 560 0.364833 10 486 566 568 1.269251 11 497 590 589 0.977103 12 499 591 593 1.072930 13 504 604 602 1.118903

[0078] The P91 steel pipes of the third and fourth preferred embodiments have a few abnormal data points, i.e., there are several test points with high Leeb hardness values ​​and low yield strengths. At the same Leeb hardness level, the measured yield strength values ​​of the steel pipes at these locations are lower than the values ​​calculated by the mathematical correlation model (Equation 2 above).

[0079] Table 3 shows the Leeb hardness and corresponding room temperature yield strength at different positions of the P91 steel pipe in the preferred embodiment 3. As shown in Table 3, the Leeb hardness measurement value of the detection point 6 in the preferred embodiment 3 is 457HL. If the n value is 0.25 and substituted into the mathematical correlation model (the above formula 2), the yield strength of the steel pipe at this position is calculated to be 518 MPa, which is 41 MPa different from the actually measured yield strength of 477 MPa of the steel pipe at this position.

[0080] For the test point 6 in the preferred embodiment 3, the n value was measured to be 0.27. Substituting n=0.27 and the Leeb hardness of 457HL into the mathematical correlation model (Formula 2 above), the yield strength of the sample was calculated to be 469MPa, which is close to the measured yield strength of 477MPa.

[0081] Table 3

[0082] Detection Point Leeb hardness / HL Yield strength (measured value) Yield strength (calculated value) Standard Deviation 1 431 480 479 0.369907 2 445 498 499 1.032234 3 448 505 504 0.732698 4 451 509 509 0.320919 5 456 517 516 0.454336 6 457 477 518 28.953087 7 462 524 526 1.427145 8 468 538 536 1.419554 9 474 548 546 1.216258 10 478 551 553 1.635091 11 485 568 566 1.446599 12 497 590 589 0.977103 13 502 599 598 0.402055

[0083] Similarly, Table 4 shows the Leeb hardness and corresponding room temperature yield strength at different positions of the P91 steel pipe in the preferred embodiment 4. As shown in Table 4, the Leeb hardness at test point 4 and test point 10 in the preferred embodiment 4 is 461HL and 495HL, respectively. If the n value is 0.25, the calculated yield strengths of the steel pipe at these two positions are 524MPa and 585MPa, respectively. However, the actually measured yield strengths of the steel pipe at these two positions are 482MPa and 527MPa, respectively.

[0084] For the test points 4 and 10 in the fourth preferred embodiment, the n value was measured to be 0.27. Substituting n = 0.27 into Equation 1, the yield strength corresponding to Leeb hardnesses of 461HL and 495HL was calculated to be 474MPa and 520MPa, respectively, which are very close to the measured yield strengths of 482MPa and 527MPa.

[0085] Table 4

[0086] Detection Point Leeb hardness / HL Yield strength (measured value) Yield strength (calculated value) Standard Deviation 1 448 505 504 0.732698 2 451 512 509 2.442239 3 456 517 516 0.454336 4 461 482 524 29.971705 5 474 547 546 0.509151 6 479 558 555 2.056102 7 483 560 562 1.625446 8 488 571 572 0.355454 9 491 575 577 1.505792 10 495 527 585 40.838104 11 501 601 596 3.216380 12 505 604 604 0.299672 13 510 614 615 0.413799

[0087] Based on the above-mentioned preferred embodiments 2 to 4, it is again explained that the locations of high hardness and low strength in the P91 steel pipe are due to a change in the n value of the steel pipe material at that location. The reason why the curves calculated from the mathematical correlation model (Formula 2) deviate from test point 6 in preferred embodiment 3 and test points 4 and 10 in preferred embodiment 4 deviate from those calculated from the curves is that the n value of the steel pipe changes to 0.27. It is worth noting that the yield strength of the steel pipe at these three locations still satisfies the mathematical correlation model (Formula 2) with the Leeb hardness and n value. This fully demonstrates the good applicability of the mathematical model for the correlation between the yield strength of metal materials, the Leeb hardness, and the n value established in the present invention.

[0088] The embodiment of the present application provides a safety monitoring system for metal components. Figure 2 is a structural block diagram of a safety monitoring system based on the Leeb hardness of metal components according to an embodiment of the present application. Figure 2 As shown, the system includes a model construction module 21, a detection and calculation module 22 and a safety determination module 23;

[0089] Model construction module 21 is used to establish a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of metal materials 0.2 =-(0.59625 / n)*L-(0.000272 / n2)*L2+698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, and n is the strain hardening exponent of the metal material;

[0090] The detection and calculation module 22 is used to detect the Leeb hardness and strain hardening index of the metal component made of metal materials, and calculate the yield strength of the metal component through a mathematical correlation model;

[0091] The safety determination module 23 is used to determine whether the metal component meets the unit component safety service requirements based on the yield strength of the metal component.

[0092] Through the model construction module 21, detection calculation module 22 and safety judgment module 23 in the embodiment of the present application, the problem of how to accurately monitor the service safety of metal components based on Leeb hardness is solved. The influence of the Leeb hardness and strain hardening index of metal materials on the yield strength is comprehensively considered, and the construction of a mathematical correlation model is realized. Based on the model, the yield strength of the metal component is accurately calculated to determine whether it meets the safety service requirements.

[0093] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0094] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0095] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0096] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be repeated here.

[0097] In addition, in conjunction with the safety monitoring method based on Leeb hardness of metal components in the above embodiments, embodiments of the present application may provide a storage medium for implementation. The storage medium stores a computer program; when executed by a processor, the computer program implements any of the safety monitoring methods based on Leeb hardness of metal components in the above embodiments.

[0098] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, a network interface, a display screen, and an input device connected via a system bus. 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 and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a safety monitoring method based on the Leeb hardness of a metal component is implemented. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball, or touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse.

[0099] In one embodiment, Figure 3 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 3 As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in FIG. Figure 3 As shown. This electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus, wherein the non-volatile memory stores an operating system, a computer program, and a database. The processor is used to provide computing and control capabilities, the network interface is used to communicate with external terminals via a network connection, the internal memory is used to provide an environment for the operation of the operating system and computer program, and when the computer program is executed by the processor, it implements a safety monitoring method based on the Leeb hardness of metal components. The database is used to store data.

[0100] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0101] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, which can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0102] Those skilled in the art should understand that the various technical features of the above-described embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the various technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0103] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A safety monitoring method based on Leeb hardness of metal components, characterized in that: The method comprises: Establish a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of metal materials 0.2 = -(0.59625 / n ) * L + (0.000272 / n ²) * L² + 698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, n is the strain hardening exponent of metallic materials; detecting the Leeb hardness and strain hardening index of a metal component manufactured from the metal material, and calculating the yield strength of the metal component using the mathematical correlation model; According to the yield strength of the metal component, it is determined whether the metal component meets the safe service requirements of the unit component.

2. The method according to claim 1, wherein Before establishing a mathematical correlation model between the Leeb hardness, yield strength, and strain hardening exponent of the metal material, the method further includes: Cutting the metal material according to GB / T 228.2-2015 standard to obtain a tensile test specimen and a hardness test specimen of the metal material; Measuring the Leeb hardness of the metal material based on the hardness test sample; The yield strength and strain hardening index of the metal material are measured based on the tensile specimen.

3. The method according to claim 2, characterized in that Determining the Leeb hardness of the metal material based on the hardness test sample includes: Based on the hardness test sample, the Leeb hardness of the metal material is measured using a handheld Leeb hardness tester in accordance with GB / T 231.4-2009 standard.

4. The method according to claim 2, characterized in that Determining the Leeb hardness of the metal material based on the hardness test sample further includes: Impacting the surface of the hardness test sample with an impact body of a preset mass, and measuring the impact velocity and rebound velocity of the impact body at a distance of 1 mm from the surface of the hardness test sample; The Leeb hardness of the metal material is calculated using the formula HL = 1000*Vb / Va, where HL is the Leeb hardness of the metal material, Va is the impact velocity of the impact body, and Vb is the rebound velocity of the impact body.

5. The method according to claim 2, characterized in that Determining the yield strength of the metal material based on the tensile specimen includes: Based on the tensile specimen, the yield strength of the metal material is measured in accordance with GB / T 228.1-2010 standard.

6. The method according to claim 2, characterized in that Determining the strain hardening index of the metal material based on the tensile specimen includes: Based on the tensile specimen, the strain hardening index of the metal material is measured using a tensile testing machine and an extensometer in accordance with GB / T 5028-2008 standard.

7. The method according to claim 2, characterized in that The Leeb hardness, yield strength and strain hardening index of the metal material are measured including: The Leeb hardness, yield strength and strain hardening index of the metal material are measured at room temperature.

8. The method according to any one of claims 1 to 7, characterized in that The metal material is steel.

9. The method according to claim 8, characterized in that The steel material is P91 steel.

10. A safety monitoring system for metal components, characterized in that: The system includes a model construction module, a detection calculation module and a safety determination module; The model building module is used to establish a mathematical correlation model σ between the Leeb hardness, yield strength and strain hardening index of metal materials 0.2 = -(0.59625 / n ) * L + (0.000272 / n ²) * L² + 698.98, where σ 0.2 is the yield strength of the metal material, L is the Leeb hardness of the metal material, n is the strain hardening exponent of metallic materials; The detection and calculation module is used to detect the Leeb hardness and strain hardening index of the metal component manufactured based on the metal material, and calculate the yield strength of the metal component through the mathematical correlation model; The safety determination module is used to determine whether the metal component meets the unit component safety service requirements based on the yield strength of the metal component.

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