Method for detecting welding residual stress of X65M pipeline steel and application

Abstract

The invention discloses an X65M pipeline steel welding residual stress detection method. The method comprises ultrasonic welding residual stress detection and magnetic memory welding residual stress detection. Wherein the ultrasonic welding residual stress detection comprises the following steps: respectively marking detection sites at the upstream and downstream edge positions of a welding seam, respectively carrying out annular detection and axial detection through two probes on an ultrasonic residual stress detector, and the like. And magnetic memory welding residual stress detection is matched with ultrasonic residual stress detection. According to the detection method disclosed by the invention, the pipeline welding residual stress is detected in a brand-new and higher-accuracy manner, and the distribution position and distribution point of the stress can be more accurately detected, so that more accurate data guidance is provided for manually eliminating the welding stress. Meanwhile, the detection method disclosed by the invention is also applied to welding construction of petroleum and natural gas conveying pipelines.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of pipeline welding residual stress detection, and particularly relates to a welding residual stress detection method for X65M pipeline steel and application. BACKGROUND

[0002] The oil and gas conveying pipeline is a pipeline for conveying oil and gas, such as an X65M pipeline. Unlike conventional pipelines, the conveying pipeline for conveying oil and gas is more stringent in pipeline performance requirements, such as sealing, stability, pressure resistance and many other performance requirements.

[0003] Specifically, in the construction process of the oil and gas conveying pipeline, welding operation is often required on the pipeline, and through welding, such as butt sealing of different pipelines is achieved. The residual stress after welding is a main factor leading to high risk of the pipeline, such as stress caused by the pipeline in use process leading to damage of the weld structure and reduction of the sealing, thereby causing huge accidents to life and property safety, and affecting energy transportation, reducing the happiness and sense of gain of the people.

[0004] Therefore, in the actual construction process, residual stress testing is performed through stress detection equipment such as ultrasonic stress detection equipment, and then stress release is performed after the residual stress is detected.

[0005] Therefore, residual stress testing is very important in pipeline welding, and often becomes a higher standard requirement for construction detection in the prior art.

[0006] For example, Chinese Patent Application No. CN202510676505.8 discloses an electromagnetic ultrasonic double-wave transducer for detecting pipeline residual stress. The technical solution disclosed in the patent realizes high-precision residual stress detection of horizontal and vertical waves through the design of a double-wave transducer device. Specifically, the testing device disclosed in the patent includes a shell, a magnet assembly, a coil and other components. Through the combination of multiple magnets, the arc-shaped shell and the grounding wire buffer design, the magnetic field uniformity and the detection signal strength are effectively improved, and high-precision residual stress detection of horizontal and vertical waves is realized.

[0007] However, in the actual detection process, the effect of welding residual stress detection is often determined by the detection method, because the current detection equipment is already relatively mature in technology. The detection method is the key to further determine the detection accuracy.

[0008] Specifically, different operators often get very different detection data structures during the actual detection process when detecting welding stress, and even often get opposite evaluation results. The reason is that the distribution direction and position of welding residual stress are random, and if a high-precision detection method cannot be used, the welding stress condition cannot be accurately reflected, the pipeline welding stress cannot be more fully intervened and released, and the safety and stability of the pipeline cannot be ensured. SUMMARY

[0009] Based on the above background, the purpose of the present application is to provide a X65M pipeline steel welding residual stress detection method.

[0010] To achieve the above purpose, the technical scheme adopted by the present application is as follows:

[0011] A X65M pipeline steel welding residual stress detection method, comprising ultrasonic welding residual stress detection and magnetic memory welding residual stress detection.

[0012] The ultrasonic welding residual stress detection comprises the following steps:

[0013] (1) Mark the detection sites at the upstream and downstream edge positions of the weld, and arrange the detection sites in a ring shape. After determining the detection sites, detect each detection site by using an ultrasonic residual stress detector.

[0014] (2) Use two kinds of probes on the ultrasonic residual stress detector to perform ring detection and axial detection, respectively.

[0015] Among them, the probe for ring detection has a curved groove matched with the curved structure of the pipeline, and the probe for ring detection is in contact with the pipeline in a curved surface.

[0016] The probe for axial detection is a probe with a linear contact between the bottom plane structure and the pipeline.

[0017] (3) Calculate the stress value of each detection site, and the calculation formula is as follows:

[0018]

[0019] Where σ is the stress, t σL and t 0L are the acoustic times under stress and non-stress conditions, respectively; K L is the material elastic coefficient constant; the subscript L represents the longitudinal wave; the coefficient A L = K L / E.

[0020] The stress value of each detection site is calculated by the above calculation formula.

[0021] (4) comparing the stress value obtained by measuring and calculating with the yield strength of the material to perform safety evaluation;

[0022] The magnetic memory welding residual stress detection comprises the following steps:

[0023] The magnetic memory stress detection probe is rolled along the welding seam to obtain detection analysis data.

[0024] Preferably, the wall thickness of the X65M pipeline steel is 16-20mm.

[0025] Preferably, the diameter of the caliber of the X65M pipeline steel is 406-1422mm.

[0026] Preferably, at least 12 detection points are marked in the clockwise direction at the upstream edge position of the welding seam.

[0027] At least 12 detection points are marked in the clockwise direction at the downstream edge position of the welding seam.

[0028] Preferably, the ultrasonic welding residual stress detection further comprises remote welding edge detection.

[0029] Preferably, the remote welding edge detection method comprises measuring the stress value by the probe for ring detection at a position 10-100mm away from the upstream edge of the welding seam.

[0030] Preferably, the remote welding edge detection method further comprises measuring the stress value by the probe for ring detection at a position 10-100mm away from the downstream edge of the welding seam.

[0031] Preferably, the magnetic memory welding residual stress detection analysis data comprises welding stress metal magnetic memory curve data and welding stress change magnetic field gradient curve data.

[0032] The application also discloses application of the X65M pipeline steel welding residual stress detection method in pipeline welding construction stress detection.

[0033] Preferably, the pipeline is a petroleum and natural gas conveying pipeline.

[0034] The application has the following beneficial effects:

[0035] 1. The application discloses a novel ultrasonic welding residual stress detection method, which marks at least 12 detection points in the clockwise direction at the upstream and downstream edge positions of the welding seam, respectively tests the ultrasonic residual stress of the points to more accurately reflect the welding residual stress condition of the welded pipeline.

[0036] 2. The detection method disclosed by the present application has high detection precision, and solves the technical defects in the prior art that the detection precision is poor in the pipeline welding residual stress detection process, the pipeline welding residual stress cannot be accurately fed back, artificial intervention is used to eliminate stress, accurate data cannot be used for guidance, and stress cannot be fully eliminated.

[0037] 3. The present application combines ultrasonic welding residual stress detection and magnetic memory welding residual stress detection, and realizes further accurate feedback of welding stress distribution by the cooperation of the two combined means, so as to provide more accurate data guidance for more accurate artificial stress removal. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained from the structures shown in the drawings without creative labor for those skilled in the art.

[0039] Figure 1 The figure is a circumferential detection stress distribution graph of the welding joint one in the embodiment of the present application;

[0040] Figure 2 The figure is a circumferential detection stress distribution graph of the welding joint two in the embodiment of the present application;

[0041] Figure 3 The figure is an axial detection stress distribution graph of the welding joint one in the embodiment of the present application;

[0042] Figure 4 The figure is an axial detection stress distribution graph of the welding joint two in the embodiment of the present application;

[0043] Figure 5 The figure is a circumferential detection stress distribution graph of the welding joint three in the embodiment of the present application;

[0044] Figure 6 The figure is a circumferential detection stress distribution graph of the welding joint four in the embodiment of the present application;

[0045] Figure 7 The figure is an axial detection stress distribution graph of the welding joint three in the embodiment of the present application;

[0046] Figure 8 The figure is an axial detection stress distribution graph of the welding joint four in the embodiment of the present application;

[0047] Figure 9 The figure is a welding stress metal magnetic memory curve of the welding joint one in the embodiment of the present application;

[0048] Figure 10The welding stress change magnetic field gradient curve of the welding joint one in the embodiment of the present application;

[0049] Figure 11 The welding stress metal magnetic memory curve of the welding joint two in the embodiment of the present application;

[0050] Figure 12 The welding stress change magnetic field gradient curve of the welding joint two in the embodiment of the present application;

[0051] Figure 13 The welding stress metal magnetic memory curve of the welding joint three in the embodiment of the present application;

[0052] Figure 14 The welding stress change magnetic field gradient curve of the welding joint three in the embodiment of the present application;

[0053] Figure 15 The welding stress metal magnetic memory curve of the welding joint four in the embodiment of the present application;

[0054] Figure 16 The welding stress change magnetic field gradient curve of the welding joint four in the embodiment of the present application.

[0055] The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work under the premise that the relative concepts of the present application are not deviated, belong to the protection scope of the present application.

[0057] It should be noted that all the directionality indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative position relationship, movement condition, etc. between the components in a certain specific posture (as shown in the drawings), if the specific posture is changed, the directionality indications will also be changed accordingly.

[0058] In addition, the description such as "first", "second" and the like in the present application is only for the purpose of description and cannot be understood as indicating or implying the relative importance of the technical features indicated or implying the number of technical features indicated. Therefore, the features defined as "first", "second" can be explicitly or implicitly included at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the realization of ordinary skilled in the art, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, also not within the protection scope required by the present application.

[0059] Embodiment 1

[0060] A kind of X65M pipeline steel welding residual stress detection method, including ultrasonic welding residual stress detection and magnetic memory welding residual stress detection. More accurate reaction pipeline welding residual stress condition is realized by the cooperation of two detection means.

[0061] Wherein, ultrasonic welding residual stress detection includes the following steps:

[0062] (1) mark detection site at the upstream and downstream edge positions of weld respectively, detection site is set in the ring direction, after determining detection site, each detection site is detected by ultrasonic residual stress detector;The marking method of specific detection site is: the upstream edge position of weld is marked 18 detection sites according to the clockwise direction, and is specifically marked as: 1-18th detection site;The downstream edge position of weld is marked 18 detection sites according to the clockwise direction, and is specifically marked as: 1-18th detection site.

[0063] (2) ring detection and axial detection are carried out by two probes on ultrasonic residual stress detector respectively;

[0064] Wherein, the probe for ring detection has curved groove matched with the curved structure of pipeline, and the probe for ring detection is contacted on the pipeline in curved surface;

[0065] The probe for axial detection is linearly contacted between the probe with flat bottom structure and pipeline;

[0066] (3) the stress value of each detection site is calculated, and the calculation formula is as follows:

[0067]

[0068] Wherein, σ is stress, t σL And t 0L It is the acoustic time under the condition of stress and no stress respectively;K L It is material elastic coefficient constant;The subscript L represents longitudinal wave;Coefficient A L =K L Ten 1 / E;

[0069] The stress value of each detection site is calculated by the above calculation formula;

[0070] (4) The safety is evaluated by comparing the stress value obtained by measurement and calculation with the yield strength of the material;

[0071] The magnetic memory welding residual stress detection comprises the following steps:

[0072] The magnetic memory stress detection probe is rolled along the weld ring to obtain detection analysis data.

[0073] The wall thickness of the X65M pipeline steel is 16-20mm. The diameter of the X65M pipeline steel is 711mm.

[0074] Example 2

[0075] This embodiment discloses the detection data of the X65M pipeline steel (the diameter of the pipeline is 711mm) with a wall thickness of 16mm.

[0076] Two welding joints on the pipeline are selected as welding joint one and welding joint two, and the welding joint one and the welding joint two are detected according to the above circumferential (stress) detection method and the axial (stress) detection method.

[0077] The detection data of the welding joint one and the welding joint two are shown in Table 1 and Table 2.

[0078] Table 1

[0079]

[0080] Table 2

[0081]

[0082] Example 3

[0083] This embodiment discloses the detection data of the X65M pipeline steel with a wall thickness of 20mm. Two welding joints on the pipeline are selected as welding joint three and welding joint four, and the welding joint three and the welding joint four are detected according to the above circumferential (stress) detection method and the axial (stress) detection method.

[0084] The detection data of the welding joint three and the welding joint four are shown in Table 3 and Table 4.

[0085]

[0086] Table 4

[0087]

[0088] Example 4

[0089] As shown in the following table, this example discloses X65M pipeline steel with a wall thickness of 16mm, and the hoop stress distribution and axial stress distribution of welding joint one and welding joint two. Figures 1-4

[0090] Figure 1 The hoop stress distribution of welding joint one is, Figure 2 The hoop stress distribution of welding joint two is;

[0091] Figure 3 The axial stress distribution of welding joint one is, Figure 4 The axial stress distribution of welding joint two is.

[0092] Example 5

[0093] As shown in the following table, this example discloses X65M pipeline steel with a wall thickness of 20mm, and the hoop stress distribution and axial stress distribution of welding joint three and welding joint four. Figures 5-8

[0094] Figure 5 The hoop stress distribution of welding joint three is, Figure 6 The hoop stress distribution of welding joint four is;

[0095] Figure 7 The axial stress distribution of welding joint three is, Figure 8 The axial stress distribution of welding joint four is.

[0096] As shown in the following tables, it can be seen that: through the detection method disclosed by the present application, the residual stress condition of the pipeline welding weld can be comprehensively and more accurately fed back, so as to improve the precise data guidance reference by precise manual intervention to remove stress. Figures 1-8

[0097] Example 6

[0098] In order to more accurately reflect the welding stress distribution, the ultrasonic welding residual stress detection further includes detection away from the weld edge. That is, the stress value is measured by the hoop detection probe at a position 10-100mm away from the upstream and downstream edges of the welding joint one, welding joint two, welding joint three and welding joint four, and the measurement results are shown in the following tables five, six, seven and eight.

[0099] Table five

[0100]

[0101] Table six

[0102] ​​​

[0103] Table 7

[0104]

[0105] Table 8

[0106]

[0107] It can be seen from the above table that the residual stress distribution can be more accurately reflected by detecting far away from the weld.

[0108] Example 7

[0109] This embodiment discloses magnetic memory welding residual stress detection. Specifically, during the detection process, a magnetic memory stress detection probe is rolled along the weld in a circular manner to obtain detection and analysis data. Specifically, the magnetic memory welding residual stress detection is performed on weld joints 1, 2, 3, and 4 described in the above embodiment using a magnetic memory welding residual stress detection instrument disclosed in the prior art. The detection probe used with the instrument is rolled along the weld in a circular manner.

[0110] Weld-welding stress metal magnetic memory curve is as follows Figure 9 As shown; the magnetic field gradient curve of welding stress change of weld 1 is as follows Figure 10 As shown in the figure, it can be seen that the starting position and the middle position are affected by the inspection personnel's operation, resulting in large stress fluctuations, while the rest of the positions are relatively smooth, and no obvious stress concentration area is found in this weld joint.

[0111] The two-stress metal magnetic memory curve of the welded joint is as follows Figure 11 As shown; the magnetic field gradient curve of welding stress change of welding joint 2 is as follows Figure 12 As shown in the figure, it can be seen that there is an obvious stress concentration area at the 2 o'clock position, and the metal magnetic memory curve and the magnetic field change gradient curve simultaneously produce large changes.

[0112] The three-stress metal magnetic memory curve of the welded joint is as follows Figure 13 As shown; the magnetic field gradient curve of welding stress change of welding joint 3 is as follows Figure 14 As shown in the figure, it can be seen that there is a stress concentration area between 3 o'clock and 4 o'clock on the weld, the magnetic field gradient curve changes significantly, and the magnetic memory curve also changes. Although the magnetic memory curve changes significantly at 1 o'clock, the magnetic field gradient does not change significantly, and there is no obvious stress concentration at this location.

[0113] The four stress metal magnetic memory curves of welded joints are as follows Figure 15 As shown; the magnetic field gradient curve of welding stress change of welding joint 4 is as follows Figure 16As shown in the figure, the stress metal magnetic memory curve and the stress change magnetic field gradient curve of the weld joint of the weld joint have no obvious change, and the weld joint has no obvious stress concentration area.

[0114] Of course, the above description is not a limitation of the present application, and the present application is not limited to the above examples. Changes, modifications, additions or substitutions made by those skilled in the art within the scope of the present application should also be within the scope of the present application.

Claims

1. A method for detecting residual stress in welding of X65M pipeline steel, characterized in that: Including ultrasonic welding residual stress detection and magnetic memory welding residual stress detection; The ultrasonic welding residual stress detection comprises the following steps: (1) The detection sites are marked at the upstream and downstream edges of the weld respectively. The detection sites are set in a circumferential manner. After the detection sites are determined, each detection site is tested by an ultrasonic residual stress detector; (2) Using two probes on the ultrasonic residual stress detector to perform circumferential and axial detection respectively; The circumferential detection probe has a curved groove that matches the curved structure of the pipeline, and the curved surface of the circumferential detection probe contacts the pipeline; The probe used for axial detection is a bottom plane structure with linear contact between the probe and the pipe; (3) Calculate the stress value of each detection site; (4) Compare the measured and calculated stress values ​​with the yield strength of the material to conduct a safety assessment; The magnetic memory welding residual stress detection comprises the following steps: The magnetic memory stress detection probe is rolled along the weld in a circular manner to obtain detection and analysis data.

2. The X65M pipeline steel welding residual stress detection method according to claim 1, characterized in that: The wall thickness of the X65M pipeline steel is 16-20 mm.

3. The X65M pipeline steel welding residual stress detection method according to claim 1, characterized in that: The diameter of the X65M pipeline steel is 406-1422 mm.

4. The X65M pipeline steel welding residual stress detection method according to claim 3, characterized in that: At least 12 detection points are marked on the upstream edge of the weld in a clockwise direction; At least 12 detection points are marked on the downstream edge of the weld in a clockwise direction.

5. The X65M pipeline steel welding residual stress detection method according to claim 4, characterized in that: The ultrasonic welding residual stress detection also includes detection away from the weld edge.

6. The X65M pipeline steel welding residual stress detection method according to claim 5, characterized in that: The detection method far from the weld edge includes: measuring the stress value at a distance of 10-100 mm from the upstream edge of the weld by using a probe for circumferential detection.

7. The X65M pipeline steel welding residual stress detection method according to claim 5, characterized in that: The detection method away from the weld edge also includes measuring the stress value at a distance of 10-100 mm from the downstream edge of the weld using a probe for circumferential detection.

8. The X65M pipeline steel welding residual stress detection method according to claim 1, characterized in that: The magnetic memory welding residual stress detection and analysis data includes welding stress metal magnetic memory curve data and welding stress change magnetic field gradient curve data.

9. Application of the X65M pipeline steel welding residual stress detection method according to any one of claims 1 to 8 in pipeline welding construction stress detection.

10. The application of the method in pipeline welding construction stress detection according to claim 9, characterized in that: The pipeline is an oil and natural gas transmission pipeline.

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