Quality evaluation method and production process of chromium-molybdenum steel pipe for stator based on big data

Abstract

The invention relates to the technical field of steel pipe detection data processing, in particular to a quality evaluation method and production process of a chromium-molybdenum steel pipe for a stator based on big data, and the method comprises the following steps: S1, monitoring a steel pipe production process, and collecting steel pipe processing process data; s2, according to the steel pipe machining process data, a steel pipe machining quality evaluation index is obtained through comprehensive analysis, and the steel pipe machining process is fed back according to the steel pipe machining quality evaluation index; and S3, collecting performance data of the finished steel pipe after machining, performing comprehensive analysis according to the performance data of the finished steel pipe and the steel pipe machining quality evaluation index to obtain a steel pipe quality comprehensive index, and evaluating and feeding back the steel pipe quality according to the steel pipe quality comprehensive index. According to the quality evaluation method and the production process of the chromium-molybdenum steel pipe for the stator based on the big data, the quality of the steel pipe can be evaluated more comprehensively, so that the product quality can be improved, the running speed of a production line can be increased, the yield can be increased, and the production efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of steel pipe detection data processing, and in particular to a quality assessment method and a production process for a chromium-molybdenum steel pipe for a stator based on big data. Background Art

[0002] Chromium-molybdenum steel seamless pipe for stator is the main basic part of screw drill motor, and its quality directly affects the performance and life of the entire production process. Chromium-molybdenum steel pipe is often used to manufacture stators due to its excellent mechanical properties and high temperature resistance. With the rapid development of the machinery manufacturing industry and the need to mine unconventional energy, the demand for chromium-molybdenum steel seamless pipe for stator has increased rapidly. Therefore, higher requirements are put forward for the quality assessment of chromium-molybdenum steel pipe.

[0003] For example, the invention patent with publication number: CN117314187A is a performance evaluation method and system for seamless steel pipes, which belongs to the field of intelligent detection, and includes: obtaining seamless steel pipe inspection information and seamless steel pipe production demand information; obtaining rough pipe size defects and mid-inspection size defects based on size demand information; obtaining mechanical property defects according to mechanical property information; performing size processing optimization to obtain the first process parameter optimization result; performing heat treatment processing optimization to obtain the second process parameter optimization result; setting the rough pipe size defects, mid-inspection size defects and the first process parameter optimization result as the size evaluation result, and setting the mechanical property defects and the second process parameter optimization result as the mechanical property evaluation result.

[0004] For example, the invention patent with announcement number: CN116738859B is an online non-destructive life assessment method for copper tubes, which is simple to operate and has high assessment accuracy; the method includes: S1, controlling the precision instrument to operate for a specific period of time under a specific environment; S2, obtaining various operating data of the copper tube within a specific period of time; S3, dividing various operating data according to a preset time span, and calculating the data mean in each time span; S4, arranging the means of various operating data in the same time span in chronological order to obtain a real-time matrix of the copper tube operation status; S5, using a pre-trained pipe life assessment model to identify the real-time matrix of the copper tube operation status, obtain the copper tube life feature matrix, and output the remaining service life of the copper tube corresponding to the life feature matrix.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application discovered that the above-mentioned technology has at least the following technical problems: traditional quality assessment methods often rely on manual experience and sampling inspection, which are highly subjective, inefficient, and low in precision, and cannot fully reflect product quality. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a quality assessment method and production process for chromium-molybdenum steel tubes for stators based on big data, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a quality assessment method for chromium-molybdenum steel pipes for stators based on big data, including: S1. Monitoring the steel pipe production process and collecting steel pipe processing data, wherein the steel pipe processing data includes perforation deformation process data and pipe rolling process data.

[0008] S2. Based on the steel pipe processing technology data, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, and feedback is provided to the steel pipe processing process based on the steel pipe processing quality evaluation index.

[0009] S3. Collect the performance data of the finished steel pipes after processing, and obtain the comprehensive quality index of the steel pipes based on the performance data of the finished steel pipes and the steel pipe processing quality evaluation index. Evaluate the quality of the steel pipes based on the comprehensive quality index and provide feedback.

[0010] As a further method, the process data of the punching deformation process includes: the punching force and the punching speed at each time monitoring point in the punching cycle, the billet elongation and billet diameter reduction rate in the punching cycle, and the billet temperature.

[0011] According to the process data of perforation deformation, the first influencing characteristic value of steel pipe quality is obtained after processing.

[0012] The process data of the tube rolling process include: rolling force, rolling speed and rolling temperature at each time monitoring point in the rolling cycle, rolling passes in the rolling cycle, and billet diameter reduction and billet wall reduction in the rolling cycle.

[0013] According to the technological data of the tube rolling process, the second influencing characteristic value of the steel tube quality is obtained after processing.

[0014] As a further method, the comprehensive analysis obtains the steel pipe processing quality evaluation index, and the specific analysis process is: extracting the first influencing characteristic factor of steel pipe quality and the second influencing characteristic factor of steel pipe quality from the steel pipe data integration platform.

[0015] According to the first influencing characteristic value and the second influencing characteristic value of steel pipe quality, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, which is used to quantitatively evaluate the degree of influence of the steel pipe processing process on the steel pipe quality, and provides a basis for comprehensive analysis to obtain a comprehensive index of steel pipe quality.

[0016] As a further method, the steel pipe processing process is fed back according to the steel pipe processing quality assessment index. The specific process is: extracting the steel pipe processing quality assessment parameter from the steel pipe data integration platform, comparing the steel pipe processing quality assessment index with the steel pipe processing quality assessment parameter, if the steel pipe processing quality assessment index is higher than or equal to the steel pipe processing quality assessment parameter, the steel pipe processing process is evaluated as qualified, if the steel pipe processing quality assessment index is lower than the steel pipe processing quality assessment parameter, the steel pipe processing process is evaluated as unqualified, and early warning and problem analysis are performed on the unqualified steel pipe processing process.

[0017] As a further method, the first influencing characteristic value of steel pipe quality is obtained through processing, and the specific process is: extracting the reference standard piercing force, reference standard piercing speed, reference standard elongation, reference standard diameter reduction rate, reference standard billet temperature, allowable deviation piercing force, allowable deviation piercing speed, allowable deviation elongation, allowable deviation diameter reduction rate and allowable deviation billet temperature from the steel pipe data integration platform, and according to the process data of the piercing deformation process, comprehensively analyzing to obtain the first influencing characteristic value of steel pipe quality, the first influencing characteristic value of steel pipe quality is used to quantitatively evaluate the influence of the piercing deformation process of steel pipe on the quality of steel pipe, and provide a basis for comprehensive analysis to obtain the steel pipe processing quality evaluation index.

[0018] As a further method, the second influencing characteristic value of steel pipe quality is obtained through processing, and the specific process is: extracting the reference standard rolling force, reference standard rolling speed, reference standard rolling temperature, reference standard rolling pass, reference standard diameter reduction, reference standard wall reduction, allowable deviation rolling force, allowable deviation rolling speed, allowable deviation rolling temperature, allowable deviation rolling pass, allowable deviation diameter reduction and allowable deviation wall reduction from the steel pipe data integration platform, and according to the process data of the pipe rolling process, comprehensively analyzing to obtain the second influencing characteristic value of steel pipe quality, the second influencing characteristic value of steel pipe quality is used to quantitatively evaluate the degree of influence of the steel pipe rolling process on the quality of the steel pipe, and provide a basis for comprehensively analyzing to obtain the steel pipe processing quality evaluation index.

[0019] As a further method, the comprehensive analysis obtains comprehensive indicators of steel pipe quality, and the specific analysis process is: the performance data of the finished steel pipe includes: steel pipe surface roughness, steel pipe surface hardness and steel pipe out-of-roundness.

[0020] The critical surface roughness, critical surface hardness and critical out-of-roundness are extracted from the steel pipe data integration platform.

[0021] Based on the performance data of the finished steel pipe and the steel pipe processing quality evaluation index, a comprehensive analysis is conducted to obtain the comprehensive steel pipe quality index, which is used to quantitatively evaluate the quality of the steel pipe after processing, and provides a basis for quality evaluation and feedback of the steel pipe.

[0022] As a further method, the steel pipe quality is evaluated and fed back according to the comprehensive steel pipe quality index. The specific process is: extracting the comprehensive steel pipe quality index threshold from the steel pipe data integration platform, comparing the comprehensive steel pipe quality index with the comprehensive steel pipe quality index threshold; if the comprehensive steel pipe quality index is higher than or equal to the comprehensive steel pipe quality index threshold, the steel pipe quality is evaluated as qualified and the steel pipe is marked as a qualified steel pipe; if the comprehensive steel pipe quality index is lower than the comprehensive steel pipe quality index threshold, the steel pipe quality is evaluated as unqualified and the steel pipe is marked as an unqualified steel pipe.

[0023] Count the number of unqualified steel pipes and provide feedback to the steel pipe production process based on the number of unqualified steel pipes.

[0024] As a further method, the steel pipe processing quality evaluation index has a specific numerical expression as follows: ; In the formula, Represents the steel pipe processing quality evaluation index, It represents the first influencing characteristic value of steel pipe quality. Indicates the second influencing characteristic value of steel pipe quality, It represents the first influencing characteristic factor of steel pipe quality. It represents the second influencing characteristic factor of steel pipe quality.

[0025] The second aspect of the present invention provides a production process for a quality assessment method of a chromium-molybdenum steel tube for a stator using big data, comprising: R1. blank preparation; R2. heating; R3. piercing and deformation; R4. tube rolling; R5. micro-tension reducing; R6. cooling by cooling bed control; R7. high temperature annealing; R8. cold drawing; R9. quenching and tempering; R10. precision drawing; R11. annealing; R12. performance testing; R13. sawing.

[0026] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a quality assessment method and production process for chromium-molybdenum steel tubes for stators based on big data, comprehensively analyzing the surface roughness, surface hardness, out-of-roundness and processing quality of the steel tubes, which is conducive to a more comprehensive assessment of the quality of the steel tubes. Through in-depth analysis and precise control of these parameters, manufacturers can continuously improve product quality, increase the operating speed of the production line, increase output, and thus improve production efficiency.

[0027] (2) The present invention can provide a basis for optimizing parameter settings by comprehensively analyzing the piercing force, piercing speed, billet temperature, billet elongation and diameter reduction rate. Reasonable parameter settings can ensure that the steel pipe has ideal mechanical properties, improve the dimensional accuracy of the steel pipe, and improve the appearance quality of the product. High-quality products can meet customer needs and enhance the competitiveness of enterprises in the market.

[0028] (3) The present invention can provide a basis for optimizing parameters in the rolling process by comprehensively analyzing the effects of rolling force, rolling speed, rolling temperature, rolling passes, billet diameter reduction and billet wall reduction on the quality of the steel pipe during the rolling process. By reasonably controlling these parameters, the organizational structure of the steel pipe can be optimized, and the mechanical properties and performance can be improved, thereby ensuring that the quality of the steel pipe meets customer needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0030] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0031] Figure 2 The present invention is a flow chart of a steel pipe production process according to an embodiment of the present invention.

[0032] Figure 3 This is a roll arrangement diagram of a tapered piercing machine according to an embodiment of the present invention.

[0033] Figure 4 It is a schematic diagram of the deformation process of the ASSEL tube rolling mill involved in an embodiment of the present invention.

[0034] The accompanying drawings are described as follows: α. The axis of the roller and the rolling line form an advancing angle, г. The axis of the roller and the rolling line plane form a rolling angle, 1. Warp reduction section, 2. Wall reduction section, 3. Rolling section, 4. Return to roundness section, 5. Roller, 6. Mandrel. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0036] Reference Figure 1As shown, the first aspect of the present invention provides a quality assessment method for chromium-molybdenum steel pipes for stators based on big data, including: S1. monitoring the steel pipe production process and collecting steel pipe processing data, wherein the steel pipe processing data includes perforation deformation process data and pipe rolling process data.

[0037] Specifically, the process data of the punching deformation process include: the punching force and the punching speed at each time monitoring point in the punching cycle, the billet elongation and the billet diameter reduction rate in the punching cycle, and the billet temperature.

[0038] It should be explained that the piercing force refers to the force applied by the plug to the blank during the piercing process. The piercing speed refers to the speed at which the plug passes through the blank. The elongation refers to the degree of deformation of the blank in the length direction during the piercing process, and the calculation formula is: (blank length after piercing - blank length before piercing) / blank length before piercing. The diameter reduction rate refers to the degree of deformation of the blank in the diameter direction during the piercing process, and the calculation formula is: (blank diameter before piercing - blank diameter after piercing) / blank diameter before piercing. The blank temperature refers to the temperature of the blank before piercing.

[0039] It should be added that, in this embodiment, the data such as the punching force, the punching speed, the elongation, the diameter reduction rate and the blank temperature can be measured and recorded in real time by the force sensor, the displacement sensor and the thermocouple installed on the punching machine. These data can also be collected and stored by the control system of the punching machine.

[0040] According to the process data of perforation deformation, the first influencing characteristic value of steel pipe quality is obtained after processing.

[0041] The process data of the tube rolling process include: rolling force, rolling speed and rolling temperature at each time monitoring point in the rolling cycle, rolling passes in the rolling cycle, and billet diameter reduction and billet wall reduction in the rolling cycle.

[0042] It should be explained that the rolling force refers to the force applied by the rollers to the billet. The rolling speed refers to the rotation speed of the rollers. The rolling temperature refers to the temperature of the billet during the rolling process. The rolling pass refers to the number of times the billet passes through the rolling mill. The diameter reduction refers to the reduction in diameter of the billet during the rolling process, and the calculation formula is: diameter reduction = billet diameter after rolling - billet diameter before rolling. The wall reduction refers to the reduction in wall thickness of the billet during the rolling process, and the calculation formula is: wall reduction = billet wall thickness before rolling - billet wall thickness after rolling. Use a caliper, micrometer or other measuring tools to measure the diameter and wall thickness of the billet before and after rolling.

[0043] It should be added that the data such as rolling force, rolling speed, rolling temperature, rolling pass, diameter reduction and wall reduction can be measured and recorded in real time by the force sensor, speed sensor and thermocouple installed on the tube rolling mill. These data can also be collected and stored by the control system of the tube rolling mill.

[0044] According to the technological data of the tube rolling process, the second influencing characteristic value of the steel tube quality is obtained after processing.

[0045] Furthermore, the first influencing characteristic value of the steel pipe quality is obtained after processing, and the specific process is: extracting the reference standard piercing force, reference standard piercing speed, reference standard elongation, reference standard diameter reduction rate, reference standard billet temperature, allowable deviation piercing force, allowable deviation piercing speed, allowable deviation elongation, allowable deviation diameter reduction rate and allowable deviation billet temperature from the steel pipe data integration platform, and according to the process data of the piercing deformation process, comprehensively analyzing to obtain the first influencing characteristic value of the steel pipe quality, the first influencing characteristic value of the steel pipe quality is used to quantitatively evaluate the degree of influence of the piercing deformation process of the steel pipe on the quality of the steel pipe, and providing a basis for comprehensive analysis to obtain the steel pipe processing quality evaluation index.

[0046] In a specific embodiment, the numerical expression of the first influencing characteristic value of the steel pipe quality is: ; In the formula, represents the first influencing characteristic value of steel pipe quality, e represents the natural constant, t represents the number of each time monitoring point, , h represents the total number of time monitoring points, represents the piercing force at the t-th time monitoring point, represents the perforation speed at the t-th time monitoring point, Indicates the blank temperature, Indicates the elongation of the blank during the piercing cycle, Indicates the reduction rate of the blank during the piercing cycle, Indicates the reference standard piercing force, Indicates the reference standard piercing speed, Indicates the reference standard elongation, Indicates the reference standard reduction rate, Indicates the reference standard blank temperature, Indicates the allowable deviation of the punching force, Indicates the permissible deviation of the piercing speed. Indicates the allowable deviation elongation, Indicates the allowable deviation reduction rate, Indicates the allowable deviation of billet temperature.

[0047] It needs to be explained that, when the absolute difference between the piercing force and the reference standard piercing force is smaller, the absolute difference between the piercing speed and the reference standard piercing speed is smaller, the absolute difference between the billet temperature and the reference standard billet temperature is smaller, the absolute difference between the billet elongation and the reference standard billet elongation is smaller, and the absolute difference between the billet diameter reduction rate and the reference standard billet diameter reduction rate is smaller, the corresponding first influencing characteristic value of the steel pipe quality is larger, indicating that the perforation deformation process of the steel pipe has a higher positive impact on the quality of the steel pipe, and the quality of the steel pipe after perforation deformation is better.

[0048] It needs to be explained that a stable piercing force can reduce defects on the inner surface of the steel pipe, such as cracks and tears, thereby improving the inner surface quality of the steel pipe. A piercing speed within the reference standard range can improve production efficiency, and also help to obtain smooth inner and outer surfaces of the steel pipe and reduce surface defects. An elongation within the reference standard range helps to ensure that the steel pipe meets the predetermined size requirements. Accurate control of the diameter reduction rate helps to produce steel pipes with uniform wall thickness. A diameter reduction rate within the reference standard range can improve material utilization and reduce material waste. The billet temperature within the reference standard range can increase the plasticity of the material, reduce the piercing force, reduce work hardening, and is beneficial to improving the forming quality of the steel pipe, and can also ensure that the steel pipe obtains good mechanical properties and corrosion resistance.

[0049] It should be explained that when the piercing speed increases, the required piercing force also increases, because more material resistance and friction need to be overcome. Elongation is proportional to the piercing force. The greater the piercing force, the greater the extent of the billet extension. However, piercing forces that are much higher than the reference standard may lead to over-extension or even fracture. Higher piercing forces can lead to more significant billet diameter reduction. Billet temperature has a significant effect on piercing force and speed. Higher temperatures can reduce the yield strength of the material, thereby reducing the required piercing force and allowing higher piercing speeds. However, billet temperatures that are much higher than the reference standard may cause the material to overheat and affect the final quality of the steel pipe.

[0050] It should be explained that in this embodiment, by comprehensively analyzing the punching force, punching speed, billet temperature, billet elongation and diameter reduction rate, a basis can be provided for optimizing parameter settings. Reasonable parameter settings can ensure that the steel pipe has ideal mechanical properties, improve the dimensional accuracy of the steel pipe, and meet strict design requirements. The appearance quality of the product can also be improved. High-quality products can meet customer needs and enhance the competitiveness of enterprises in the market. At the same time, under the premise of ensuring quality, by optimizing parameter settings, the operating speed of the production line can also be increased, the output can be increased, and thus the production efficiency can be improved.

[0051] Furthermore, the second influencing characteristic value of the steel pipe quality is obtained after processing, and the specific process is: extracting the reference standard rolling force, the reference standard rolling speed, the reference standard rolling temperature, the reference standard rolling pass, the reference standard diameter reduction, the reference standard wall reduction, the allowable deviation rolling force, the allowable deviation rolling speed, the allowable deviation rolling temperature, the allowable deviation rolling pass, the allowable deviation diameter reduction and the allowable deviation wall reduction from the steel pipe data integration platform, and according to the process data of the pipe rolling process, comprehensively analyzing to obtain the second influencing characteristic value of the steel pipe quality, the second influencing characteristic value of the steel pipe quality is used to quantitatively evaluate the degree of influence of the steel pipe rolling process on the steel pipe quality, and provide a basis for comprehensively analyzing to obtain the steel pipe processing quality evaluation index.

[0052] In a specific embodiment, the numerical expression of the second influencing characteristic value of the steel pipe quality is: ; In the formula, Indicates the second influencing characteristic value of steel pipe quality, represents the rolling force at the tth time monitoring point, represents the rolling speed at the tth time monitoring point, represents the rolling temperature at the tth time monitoring point, represents the number of rolling passes in the rolling cycle, Indicates the amount of billet diameter reduction during the rolling cycle. Indicates the amount of billet wall reduction during the rolling cycle, Indicates the reference standard rolling force, Indicates the reference standard rolling speed, Indicates the reference standard rolling temperature, Indicates the reference standard rolling pass. Indicates the reference standard reduction. Indicates the reference standard wall reduction amount, Indicates the allowable deviation rolling force, Indicates the allowable deviation of rolling speed, Indicates the allowable deviation of rolling temperature, Indicates the allowable deviation of the rolling pass, Indicates the allowable deviation reduction. Indicates the allowable deviation of wall reduction.

[0053] It needs to be explained that, when the absolute difference between the rolling force and the reference standard rolling force is smaller, the absolute difference between the rolling speed and the reference standard rolling speed is smaller, the absolute difference between the rolling temperature and the reference standard rolling temperature is smaller, the absolute difference between the rolling pass and the reference standard rolling pass is smaller, the absolute difference between the billet diameter reduction and the reference standard billet diameter reduction is smaller, and the absolute difference between the billet wall reduction and the reference standard billet wall reduction is smaller, the corresponding second influencing characteristic value of the steel pipe quality is larger, indicating that the higher the positive impact of the steel pipe rolling process on the steel pipe quality, the better the quality of the steel pipe after rolling.

[0054] It should be explained that an increase in rolling speed leads to an increase in rolling force, because higher speeds may require greater force to overcome the material's resistance to deformation. However, this relationship is also affected by the rolling temperature. An increase in rolling temperature can reduce the material's resistance to deformation, thereby reducing the required rolling force. Therefore, rolling force and rolling temperature are generally inversely proportional. An increase in rolling speed may require higher rolling temperatures to maintain the material's plasticity to prevent the material from breaking. The more rolling passes, the greater the diameter and wall reduction, but the amount of change per rolling will gradually decrease as the deformation of the material gradually approaches the final size. The magnitude of the rolling force directly affects the diameter and wall reduction of the billet. A greater rolling force will result in a greater deformation, but it must be controlled within the plastic range of the material to avoid cracking. The rolling temperature affects the plasticity of the material, and a rolling temperature that is closer to the reference standard value can increase the diameter and wall reduction while maintaining the quality of the material. Rolling force, rolling speed, and rolling temperature are interdependent and together determine the effectiveness and efficiency of the rolling process. The arrangement of rolling passes needs to consider the reduction in diameter and wall of the billet, as well as the material properties after each rolling. The reduction in diameter and wall of the billet are the target parameters of the rolling process, which are jointly affected by rolling force, speed and temperature.

[0055] It should be explained that this embodiment can provide a basis for optimizing parameters in the rolling process by comprehensively analyzing the effects of rolling force, rolling speed, rolling temperature, rolling passes, billet diameter reduction and billet wall reduction on the quality of the steel pipe during the rolling process. By reasonably controlling these parameters, the organizational structure of the steel pipe can be optimized, and the mechanical properties and performance can be improved, thereby ensuring that the quality of the steel pipe meets customer needs.

[0056] It should be explained that by precisely controlling the amount of diameter reduction and wall reduction, the outer diameter and wall thickness of the steel pipe can be ensured to meet the specification requirements and the dimensional accuracy can be improved. By precisely controlling the pass distribution, the material can be uniformly deformed and the dimensional deviation can be reduced. By precisely controlling the rolling force, rolling speed and rolling temperature, the surface quality of the steel pipe can be improved and surface defects can be reduced. The steel pipe can be ensured to have good strength and toughness and improve its mechanical properties. By increasing the rolling speed, production efficiency can be improved while ensuring quality. By optimizing the rolling passes, unnecessary processing steps can be reduced and production efficiency can be improved.

[0057] S2. Based on the steel pipe processing technology data, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, and feedback is provided to the steel pipe processing process based on the steel pipe processing quality evaluation index.

[0058] Specifically, a steel pipe processing quality evaluation index is obtained through comprehensive analysis, and the specific analysis process is as follows: the first influencing characteristic factor of steel pipe quality and the second influencing characteristic factor of steel pipe quality are extracted from the steel pipe data integration platform.

[0059] According to the first influencing characteristic value and the second influencing characteristic value of steel pipe quality, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, which is used to quantitatively evaluate the degree of influence of the steel pipe processing process on the steel pipe quality, and provides a basis for comprehensive analysis to obtain a comprehensive index of steel pipe quality.

[0060] In a specific embodiment, the numerical expression of the steel pipe processing quality evaluation index is: ; In the formula, Represents the steel pipe processing quality evaluation index, Indicates the first influencing characteristic value of steel pipe quality, Indicates the second influencing characteristic value of steel pipe quality, It represents the first influencing characteristic factor of steel pipe quality. It represents the second influencing characteristic factor of steel pipe quality.

[0061] It needs to be explained that when the first influencing characteristic value of the steel pipe quality is larger and the second influencing characteristic value of the steel pipe quality is also larger, the corresponding steel pipe processing quality evaluation index is larger, indicating that the higher the positive impact of the steel pipe processing process on the steel pipe quality, the better the quality of the steel pipe after processing.

[0062] It should be explained that in this embodiment It represents the first influencing characteristic factor of steel pipe quality. It represents the second influencing characteristic factor of steel pipe quality. The values ​​of these influencing characteristic factors respectively represent the degree of influence of the first influencing characteristic value of steel pipe quality and the second influencing characteristic value of steel pipe quality on the processing quality of steel pipe. When used, these influencing characteristic factors can be directly obtained from the steel pipe data integration platform. The values ​​of these influencing characteristic factors are preset in the steel pipe data integration platform. For example, the first influencing characteristic value of steel pipe quality and the second influencing characteristic value of steel pipe quality respectively form a mapping set with the preset influencing characteristic factors in the steel pipe data integration platform. The real-time first influencing characteristic value of steel pipe quality and the second influencing characteristic value of steel pipe quality are input into the mapping set to obtain the corresponding influencing characteristic factors of steel pipe processing quality. These mapping relationships can be one-to-one or many-to-one. The value range of all influencing factors is between 0 and 1, indicating the degree from no influence to maximum influence.

[0063] It needs to be explained that the piercing process is usually the first step in the production of steel pipes, which penetrates the solid billet to form a hollow billet. The rolling process follows the piercing process and continuously deforms the hollow billet to achieve the desired size and shape. Parameters such as the degree of deformation, piercing force and speed during the piercing process will directly affect the difficulty of the rolling process. The parameter setting during the rolling process (such as rolling force, speed, temperature) needs to take into account the state of the billet after piercing. The goal of both processes is to produce steel pipes with precise dimensions, high surface quality and no internal defects. Both the piercing and rolling processes require the control of the elongation and diameter reduction of the material to ensure the quality of the final product.

[0064] It should be explained that this embodiment can help design a more accurate processing process through accurate analysis of the perforation deformation and rolling process, thereby ensuring that the size, surface quality, mechanical properties and internal quality of the steel pipe meet high standards. It is beneficial to improve the operating efficiency of the production line and reduce the generation of defective products.

[0065] Furthermore, feedback is given to the steel pipe processing process based on the steel pipe processing quality assessment index. The specific process is: extracting steel pipe processing quality assessment parameters from the steel pipe data integration platform, comparing the steel pipe processing quality assessment index with the steel pipe processing quality assessment parameters, if the steel pipe processing quality assessment index is higher than or equal to the steel pipe processing quality assessment parameters, the steel pipe processing process is evaluated as qualified; if the steel pipe processing quality assessment index is lower than the steel pipe processing quality assessment parameters, the steel pipe processing process is evaluated as unqualified, and early warning and problem analysis are performed on the unqualified steel pipe processing process.

[0066] In a specific embodiment, the process of early warning and problem analysis of unqualified steel pipe processing is as follows: if the steel pipe processing quality evaluation index is lower than the evaluation parameter, the system automatically triggers the early warning mechanism. First, the system sends an early warning notification to the relevant responsible person, including SMS, email, system pop-up window, etc. The early warning content contains detailed information of the unqualified processing process, such as time, location, steel pipe number, unqualified indicators, etc. Then, the relevant staff collects all data related to the unqualified processing process, including equipment parameters, operation logs, raw material information, environmental conditions, etc., and conducts a preliminary analysis of the collected data to determine the possible scope and type of problems. Then, based on the preliminary analysis results, on-site inspections and equipment tests are carried out to troubleshoot specific causes. Tools such as fault tree analysis and fishbone diagrams (cause and effect diagrams) can be used to help analyze the problem. The root cause of the unqualified processing process is determined by analysis. And a detailed problem analysis report is prepared, including problem description, analysis process, root cause, scope of impact, etc. Furthermore, the relevant staff puts forward specific improvement suggestions and preventive measures based on the root cause, and submits the improvement suggestions to the management for approval to obtain authorization to implement the improvement measures. Finally, the relevant staff implements improvement measures according to the approved improvement plan, and after the improvement measures are implemented, they continue to track the processing quality, verify the improvement effects, and ensure that the processing quality is qualified.

[0067] S3. Collect the performance data of the finished steel pipes after processing, and obtain the comprehensive quality index of the steel pipes based on the performance data of the finished steel pipes and the steel pipe processing quality evaluation index. Evaluate the quality of the steel pipes based on the comprehensive quality index and provide feedback.

[0068] Specifically, comprehensive analysis is performed to obtain comprehensive quality indicators of the steel pipe, and the specific analysis process is as follows: the performance data of the finished steel pipe includes: surface roughness of the steel pipe, surface hardness of the steel pipe and out-of-roundness of the steel pipe.

[0069] It should be explained that the surface roughness of the steel pipe refers to the average roughness value of the steel pipe surface, which can be measured by a surface roughness meter (such as a stylus roughness meter) to quantify the degree of microscopic unevenness on the outer wall surface. The surface hardness of the steel pipe refers to the ability of the steel pipe surface to resist local deformation, which can be measured using a hardness tester. The higher the surface hardness, the better the surface quality, and the better the wear resistance and corrosion resistance. The out-of-roundness of the steel pipe refers to the degree of deviation between the actual profile on the cross section of the steel pipe and the ideal circle. A roundness meter can be used to perform contact measurement along the circumference of the steel pipe to obtain detailed out-of-roundness data.

[0070] It should be added that the roundness meter is an instrument specially used to measure the roundness error of the workpiece, which can directly output the out-of-roundness value of the measured workpiece. The roundness meter usually uses the following working principles for measurement, including: the rotation method, the workpiece to be measured is fixed on the roundness meter and rotated, and the sensor (such as inductive sensor, capacitive sensor, laser sensor, etc.) measures the radial deviation of the workpiece at different positions. By collecting a large number of data points, the roundness meter can calculate the maximum radial deviation, that is, the out-of-roundness.

[0071] The critical surface roughness, critical surface hardness and critical out-of-roundness are extracted from the steel pipe data integration platform.

[0072] Based on the performance data of the finished steel pipe and the steel pipe processing quality evaluation index, a comprehensive analysis is conducted to obtain the comprehensive steel pipe quality index, which is used to quantitatively evaluate the quality of the steel pipe after processing, and provides a basis for quality evaluation and feedback of the steel pipe.

[0073] In a specific embodiment, the numerical expression of the comprehensive quality index of the steel pipe is: ; In the formula, μ represents the comprehensive quality index of steel pipe, e represents the natural constant, Represents the steel pipe processing quality evaluation index, Indicates the surface roughness of the steel pipe. Indicates the surface hardness of the steel pipe. Indicates the out-of-roundness of the steel pipe. represents the critical surface roughness, represents the critical surface hardness, represents the critical out-of-roundness, It represents the correction factor of the comprehensive steel pipe quality index corresponding to the preset steel pipe processing quality evaluation index.

[0074] It needs to be explained that when the steel pipe processing quality evaluation index is larger, the surface roughness and out-of-roundness of the steel pipe are smaller, and the surface hardness of the steel pipe is greater, the corresponding comprehensive steel pipe quality index is greater, indicating that the quality of the steel pipe after processing is higher.

[0075] It should be explained that in this embodiment It represents the correction factor of the comprehensive index of steel pipe quality corresponding to the preset steel pipe processing quality assessment index. The value of the correction factor represents the influence of the steel pipe processing quality assessment index on the quality of the steel pipe. When used, the correction factor can be directly obtained from the steel pipe data integration platform. The value of the correction factor is preset in the steel pipe data integration platform, and the steel pipe processing quality assessment index and the correction factor preset in the steel pipe data integration platform form a mapping set. The real-time steel pipe processing quality assessment index is input into the mapping set to obtain the corresponding comprehensive index correction factor of steel pipe quality. The mapping relationship can be one-to-one or many-to-one. The value range of the correction factor is between 0 and 1, indicating the degree from no influence to maximum influence.

[0076] It is important to explain that a steel tube with a higher surface roughness may have a lower surface hardness because a rough surface may contain tiny defects or cracks that affect the overall hardness of the material. During the rolling process of the steel tube, a material with a higher hardness may be more difficult to deform, which may lead to an increase in out-of-roundness because the material resists unevenly during deformation. During the steel tube production process, high out-of-roundness may lead to an increase in surface roughness if not properly controlled because the material may produce uneven stress distribution when deformed. In steel tube production, by accurately controlling the processing process, it is possible to ensure that the desired surface roughness, surface hardness and out-of-roundness are achieved, thereby improving the quality of the final product.

[0077] It should be explained that this embodiment is conducive to a more comprehensive assessment of the quality of the steel pipe by comprehensively analyzing the surface roughness, surface hardness, out-of-roundness and processing quality of the steel pipe. The surface roughness, surface hardness and out-of-roundness of the steel pipe not only reflect the processing accuracy and material properties of the steel pipe, but are also directly related to the use performance of the steel pipe and the market performance of the final product. Through the in-depth understanding and control of these parameters, manufacturers can continuously improve product quality, meet market demand and enhance competitiveness.

[0078] Furthermore, the quality of the steel pipe is evaluated and fed back according to the comprehensive quality index of the steel pipe. The specific process is: extracting the comprehensive quality index threshold of the steel pipe from the steel pipe data integration platform, comparing the comprehensive quality index of the steel pipe with the comprehensive quality index threshold of the steel pipe. If the comprehensive quality index of the steel pipe is higher than or equal to the comprehensive quality index threshold of the steel pipe, the quality of the steel pipe is evaluated as qualified and the steel pipe is marked as a qualified steel pipe. If the comprehensive quality index of the steel pipe is lower than the comprehensive quality index threshold of the steel pipe, the quality of the steel pipe is evaluated as unqualified and the steel pipe is marked as an unqualified steel pipe.

[0079] Count the number of unqualified steel pipes and provide feedback to the steel pipe production process based on the number of unqualified steel pipes.

[0080] Specifically, the step of providing feedback on the steel pipe production process is to extract the predicted index of unqualified steel pipes from the steel pipe data integration platform, compare the number of unqualified steel pipes with the predicted index of unqualified steel pipes, and if the number of unqualified steel pipes is greater than the predicted index of unqualified steel pipes, it is necessary to notify relevant staff to optimize the steel pipe production process; if the number of unqualified steel pipes is less than or equal to the predicted index of unqualified steel pipes, the existing steel pipe production process is maintained.

[0081] The specific steps for relevant staff to optimize the steel pipe production process are: Q1. Collect production data related to unqualified steel pipes, including equipment parameters, raw material quality, operation records, environmental conditions, employee skill levels, etc.

[0082] Q2. Based on the data analysis results, hypotheses are put forward on possible causes of non-conformity, including but not limited to equipment wear, raw material composition deviation, operational errors, environmental changes, etc.

[0083] Q3. Verify the cause hypothesis through experiments, on-site observations, equipment inspections, simulation analysis, etc. to ensure that the true root cause is found.

[0084] Q4. Based on the results of the root cause analysis, formulate specific improvement measures, such as: adjust equipment parameters, including temperature, pressure, speed, etc.; improve operating procedures, standardize operating steps, and reduce human errors; improve the quality of raw materials and negotiate with suppliers to improve material standards; strengthen employee training to improve operating skills and quality awareness.

[0085] Q5. Develop a detailed optimization implementation plan, including: responsibility allocation, clarifying the person in charge and supervisor of each improvement measure; timetable, setting the completion time node for each improvement measure; required resources, including the allocation of human, material, financial and other resources.

[0086] Q6.Implement improvement measures according to the optimization plan, monitor changes during implementation, and ensure that measures are effectively implemented.

[0087] Q7. During the improvement process, continuously collect data, monitor the number of unqualified steel pipes and changes in unqualified indicators, and ensure the real-time and accuracy of the data.

[0088] Q8. Evaluate the effectiveness of the optimization measures to confirm whether the number of unqualified steel pipes has dropped below the expected indicators. The evaluation content includes: the decline in the unqualified rate; the improvement in production efficiency; and the cost-benefit analysis.

[0089] Q9. If the number of unqualified steel pipes is still higher than the expected index, adjust the optimization plan according to the new data analysis results, including: re-analyze the reasons for unqualified to see if there are new factors; adjust or add improvement measures, such as introducing more advanced production technology or equipment; reallocate resources to ensure that key improvement measures are fully supported; strengthen cross-departmental collaboration to ensure that problems are analyzed and solved from multiple angles.

[0090] In a specific embodiment, the steel pipe data integration platform is used to store relevant parameters in the process of evaluating the quality of the steel pipe, including reference standard rolling force, reference standard rolling speed, reference standard rolling temperature, reference standard rolling pass, reference standard diameter reduction, reference standard wall reduction, allowable deviation rolling force, allowable deviation rolling speed, allowable deviation rolling temperature, allowable deviation rolling pass, allowable deviation diameter reduction, allowable deviation wall reduction and steel pipe quality comprehensive index threshold value and the data extracted from the steel pipe data integration platform in the above embodiment. The relevant data can be collected in real time by sensors and monitoring equipment installed on the production line, or by using a machine vision system to detect surface defects, size, shape, etc. of the steel pipe to obtain relevant data. The control parameters and status information of the production process can also be extracted from the programmable logic controller system by using an automated control system, such as a programmable logic controller.

[0091] Reference Figure 2 As shown, the second aspect of the present invention provides a production process for a quality assessment method of a chromium-molybdenum steel tube for a stator using big data, comprising: R1. blank preparation; R2. heating; R3. piercing and deformation; R4. tube rolling; R5. micro-tension reducing; R6. cooling controlled by a cooling bed; R7. high temperature annealing; R8. cold drawing; R9. quenching and tempering; R10. precision drawing; R11. annealing; R12. performance testing; R13. sawing.

[0092] It should be added that the shape of the deformation zone determines the deformation process of the perforation, and changing the shape of the deformation zone will lead to changes in the deformation process of the perforation. The perforation deformation zone can be roughly divided into four sections: Zone I is the perforation preparation area. The main function of Zone I is to prepare for perforation and smoothly achieve secondary bite.

[0093] Zone II is the perforation zone. The function of this zone is perforation, that is, the solid billet is transformed into a hollow rough tube. The length of this zone is from the meeting of the metal and the plug to the taper zone of the plug.

[0094] Zone III is the rolling zone, the function of which is to roll evenly, improve the pipe wall size accuracy and the quality of the inner and outer surfaces.

[0095] Zone IV is the rounding zone, the function of this zone is to gradually reduce the diameter reduction of the elliptical rough tube to zero by the rotating roller, and make the rough tube round.

[0096] like Figure 3 , Figure 4 As shown, α. the axis of the roller and the rolling line form an advancing angle, г. the axis of the roller and the plane of the rolling line form a rolling angle, 1. warp reduction section, 2. wall reduction section, 3. rolling section, 4. rounding section, 5. roller, 6. mandrel.

[0097] It should be added that in this embodiment, the blank preparation refers to the selection of suitable billet materials and the optimization of composition to ensure that the contents of elements such as C, Mn, Cr, Mo, and Al are within a specific range to obtain the required strength, plasticity, and toughness. The heating process refers to the use of a ring furnace to heat the blank, control the heating temperature and speed, ensure uniform steel temperature, and achieve the best metal plasticity to prepare for the subsequent rolling process. Perforation deformation refers to the use of an oblique rolling piercing machine to process a solid blank into a hollow rough tube, and control the perforation deformation process to avoid defects such as internal cracks and small warping, and ensure the dimensional accuracy and quality of the rough tube. The tube rolling process refers to the use of an ASSEL tube rolling mill to reduce the diameter, reduce the wall, and sizing the rough tube, and by controlling parameters such as the roller shoulder height, feed angle, rolling angle, and roller speed, ensure uniform wall thickness to obtain the stretched rough tube. Micro-tension diameter reduction refers to micro-tension diameter reduction of the rough tube to further improve the dimensional accuracy, and control the cooling process to prepare for subsequent heat treatment. High temperature annealing refers to high temperature annealing of steel pipes to obtain uniform and fine grain size and good microstructure, laying the foundation for subsequent quenching and tempering treatment. Cold drawing refers to using a cold drawing machine to reduce the diameter and wall of the steel pipe, and adopting an inner die drawing process to make the metal flow and deformation more uniform, reduce residual stress, and improve surface quality. Quenching and tempering treatment (quenching + tempering) refers to optimizing the quenching and tempering process parameters to obtain fine grain size and microstructure, so that the product has high strength, high plasticity and high impact toughness to meet the use requirements. The fine drawing process refers to fine drawing of steel pipes to further improve dimensional accuracy and surface quality. The annealing process refers to annealing the steel pipe to eliminate residual stress and improve product stability. Performance testing refers to the performance testing of the annealed steel pipe to ensure that the product meets the requirements of various technical indicators. Sawing refers to sawing the steel pipe into the required length. Finally, the finished product is obtained.

[0098] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A quality assessment method for chromium-molybdenum steel tubes for stators based on big data, characterized in that: include: S1. Monitor the steel pipe production process and collect steel pipe processing data, including perforation deformation process data and pipe rolling process data; S2. Based on the steel pipe processing data, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, and feedback is provided on the steel pipe processing process based on the steel pipe processing quality evaluation index; S3. Collect the performance data of the finished steel pipes after processing, and obtain the comprehensive quality index of the steel pipes based on the performance data of the finished steel pipes and the steel pipe processing quality evaluation index. Evaluate the quality of the steel pipes based on the comprehensive quality index and provide feedback.

2. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 1 is characterized by: The process data of the perforation deformation process include: the perforation force and perforation speed at each time monitoring point in the perforation cycle, the billet elongation and billet diameter reduction rate in the perforation cycle, and the billet temperature; According to the process data of the perforation deformation process, the first characteristic value affecting the quality of the steel pipe is obtained through processing; The process data of the tube rolling process include: rolling force, rolling speed and rolling temperature at each time monitoring point in the rolling cycle, rolling passes in the rolling cycle, and billet diameter reduction and billet wall reduction in the rolling cycle; According to the technological data of the tube rolling process, the second influencing characteristic value of the steel tube quality is obtained after processing.

3. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 2 is characterized in that: The comprehensive analysis results in the steel pipe processing quality evaluation index, and the specific analysis process is as follows: The first influencing characteristic factor and the second influencing characteristic factor of steel pipe quality are extracted from the steel pipe data integration platform; According to the first influencing characteristic value and the second influencing characteristic value of steel pipe quality, a comprehensive analysis is performed to obtain a steel pipe processing quality evaluation index, which is used to quantitatively evaluate the degree of influence of the steel pipe processing process on the steel pipe quality, and provides a basis for comprehensive analysis to obtain a comprehensive index of steel pipe quality.

4. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 3 is characterized by: The steel pipe processing process is fed back according to the steel pipe processing quality evaluation index, and the specific process is as follows: The steel pipe processing quality assessment parameters are extracted from the steel pipe data integration platform, and the steel pipe processing quality assessment index is compared with the steel pipe processing quality assessment parameters. If the steel pipe processing quality assessment index is higher than or equal to the steel pipe processing quality assessment parameters, the steel pipe processing process is assessed as qualified; if the steel pipe processing quality assessment index is lower than the steel pipe processing quality assessment parameters, the steel pipe processing process is assessed as unqualified, and early warning and problem analysis are carried out for the unqualified steel pipe processing process.

5. The quality assessment method of chromium-molybdenum steel tube for stator based on big data according to claim 2 is characterized by: The first influencing characteristic value of the steel pipe quality is obtained through processing, and the specific process is: The reference standard piercing force, reference standard piercing speed, reference standard elongation, reference standard diameter reduction rate, reference standard stock temperature, allowable deviation piercing force, allowable deviation piercing speed, allowable deviation elongation, allowable deviation diameter reduction rate and allowable deviation stock temperature are extracted from the steel pipe data integration platform, and based on the process data of the piercing deformation process, a comprehensive analysis is performed to obtain the first influencing characteristic value of the steel pipe quality. The first influencing characteristic value of the steel pipe quality is used to quantitatively evaluate the degree of influence of the piercing deformation process of the steel pipe on the quality of the steel pipe, and provide a basis for comprehensive analysis to obtain the steel pipe processing quality evaluation index.

6. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 2 is characterized by: The second influencing characteristic value of the steel pipe quality is obtained through processing, and the specific process is: The reference standard rolling force, reference standard rolling speed, reference standard rolling temperature, reference standard rolling pass, reference standard diameter reduction, reference standard wall reduction, allowable deviation rolling force, allowable deviation rolling speed, allowable deviation rolling temperature, allowable deviation rolling pass, allowable deviation diameter reduction and allowable deviation wall reduction are extracted from the steel pipe data integration platform, and the second influencing characteristic value of steel pipe quality is obtained through comprehensive analysis based on the process data of the pipe rolling process. The second influencing characteristic value of steel pipe quality is used to quantitatively evaluate the degree of influence of the steel pipe rolling process on the steel pipe quality, and provides a basis for comprehensive analysis to obtain the steel pipe processing quality evaluation index.

7. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 6 is characterized by: The comprehensive analysis obtains the comprehensive quality index of the steel pipe, and the specific analysis process is as follows: The finished steel pipe performance data includes: steel pipe surface roughness, steel pipe surface hardness and steel pipe out-of-roundness; The critical surface roughness, critical surface hardness and critical out-of-roundness are extracted from the steel pipe data integration platform; Based on the performance data of the finished steel pipe and the steel pipe processing quality evaluation index, a comprehensive analysis is conducted to obtain the comprehensive steel pipe quality index, which is used to quantitatively evaluate the quality of the steel pipe after processing, and provides a basis for quality evaluation and feedback of the steel pipe.

8. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 7 is characterized by: The steel pipe quality is evaluated and fed back according to the comprehensive quality indicators of the steel pipe. The specific process is as follows: Extracting a comprehensive index threshold of steel pipe quality from the steel pipe data integration platform, comparing the comprehensive index of steel pipe quality with the comprehensive index threshold of steel pipe quality, if the comprehensive index of steel pipe quality is higher than or equal to the comprehensive index threshold of steel pipe quality, the steel pipe quality is evaluated as qualified, and the steel pipe is marked as a qualified steel pipe; if the comprehensive index of steel pipe quality is lower than the comprehensive index threshold of steel pipe quality, the steel pipe quality is evaluated as unqualified, and the steel pipe is marked as an unqualified steel pipe; Count the number of unqualified steel pipes and provide feedback to the steel pipe production process based on the number of unqualified steel pipes.

9. The quality assessment method for chromium-molybdenum steel tube for stator based on big data according to claim 3 is characterized by: The specific numerical expression of the steel pipe processing quality evaluation index is: ； In the formula, Represents the steel pipe processing quality evaluation index, Indicates the first influencing characteristic value of steel pipe quality, Indicates the second influencing characteristic value of steel pipe quality, It represents the first influencing characteristic factor of steel pipe quality. It represents the second influencing characteristic factor of steel pipe quality.

10. A production process using the quality assessment method for chromium-molybdenum steel tubes for stators based on big data as claimed in any one of claims 1 to 9, characterized in that: include: R1. Blank preparation; R2. Heating; R3. Punching and deformation; R4. Tube rolling; R5. Micro-tension reduction; R6. Cooling by cooling bed; R7. High temperature annealing; R8. Cold drawing; R9. Quenching and tempering; R10. Fine drawing; R11. Annealing; R12. Performance testing; R13. Sawing.

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