A performance testing method, system and device for aluminum alloy pipes

Abstract

The present invention relates to the field of ultrasonic detection technology, and specifically to a performance testing method, system and device for aluminum alloy pipes. The method performs waveform anomaly analysis on the ultrasonic reflection waveform diagram of each sampling point to obtain the waveform anomaly degree, and based on the waveform anomaly degree of the vertical incident angle, combined with the change degree of the waveform anomaly degree of multiple oblique incident angles, obtains the ultrasonic anomaly index of each sampling point position, and screens out suspected defect points; through the abnormal approximation between multiple oblique incident angles at the suspected defect point, the extension range of the defect is determined, and the performance impact is obtained based on the extension range and the ultrasonic anomaly index. The present invention combines multiple oblique incident angles to analyze abnormal conditions, determine more accurate defect abnormal positions and extension ranges, improve the analysis accuracy of ultrasonic flaw detection, and make performance test results more reliable.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic testing technology, and in particular to a performance testing method, system and device for aluminum alloy pipes. Background Art

[0002] Aluminum alloys have become a commonly used lightweight material in industrial production due to their corrosion resistance, light weight, and high strength. For example, aluminum alloy pipes are light, flexible, easy to assemble, and have good tensile strength and compressive strength. They are widely used in construction, automobiles, aerospace and other fields. Therefore, the production process of aluminum alloy pipes needs to be strictly controlled. When the performance of the pipe is affected by defects, it may seriously cause the pipe to break or cause safety accidents. Existing methods can use ultrasonic flaw detection technology to detect defects in aluminum alloy pipes. Ultrasonic detection is a non-destructive test method that will not affect the performance of the pipe. Therefore, it can be used to analyze the degree of influence of defects on the performance of aluminum alloy pipes. According to the difference in ultrasonic reflection signals at different positions of the aluminum alloy pipe, the surface defects and internal structures at that position are detected and analyzed.

[0003] However, in the inspection of special-shaped aluminum alloy pipes, the unevenness of the internal structure of the pipes can easily interfere with the defect identification results, making the vertical reflection flaw detection ability of some tiny defects and defects that are not parallel to the detection plane poor, resulting in missed detections and false detections in defect identification, affecting the accuracy of the analysis results of the pipe performance. Summary of the invention

[0004] In order to solve the technical problem that the defect recognition and detection of pipes, especially special-shaped pipes, in the prior art has the problems of missed detection and false detection, which affects the accuracy of the analysis results of the pipe performance, the purpose of the present invention is to provide a performance testing method, system and device for aluminum alloy pipes. The technical solutions adopted are as follows:

[0005] The present invention provides a performance testing method for aluminum alloy pipes, the method comprising:

[0006] At each sampling point on the surface of the aluminum alloy pipe to be tested, ultrasonic reflection waveforms at vertical incident angles and different oblique incident angles are obtained;

[0007] For each ultrasonic reflection waveform diagram, according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms, the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram is obtained;

[0008] According to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle, and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles, the ultrasonic anomaly index of each sampling point is obtained; based on the ultrasonic anomaly index, the suspected defect points are screened out from all sampling points;

[0009] According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incident angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained;

[0010] Based on the extension range of the suspected defect points and the fluctuation distribution of the ultrasonic abnormal indicators, the performance influence of the aluminum alloy pipe to be tested is obtained.

[0011] Furthermore, the method for obtaining the abnormal fluctuation index includes:

[0012] For any ultrasonic reflection waveform diagram, obtaining a peak in the ultrasonic reflection waveform diagram;

[0013] The amplitude difference between the first peak and the last peak in the ultrasonic reflection waveform is used as the amplitude difference of the ultrasonic reflection waveform; the time period between the first peak and the last peak in the ultrasonic reflection waveform is used as the distribution index of the ultrasonic reflection waveform;

[0014] Combining the amplitude difference and distribution index of the ultrasonic reflection waveform diagram, obtaining the bottom wave abnormality of the ultrasonic reflection waveform diagram;

[0015] According to the number of peaks in the ultrasonic reflection waveform diagram, the degree of disorder of the amplitudes of all peaks and the abnormality of the bottom wave, the fluctuation abnormality index of the ultrasonic reflection waveform diagram is obtained.

[0016] Furthermore, the method for obtaining the ultrasonic abnormality index includes:

[0017] For any sampling point, the value after normalization of the fluctuation anomaly index of the sampling point at the vertical incidence angle is taken as the anomaly degree of the sampling point;

[0018] The average of the fluctuation anomaly indexes at all oblique incident angles at the sampling point is taken as the overall anomaly degree of the sampling point; the difference between the fluctuation anomaly index and the overall anomaly degree at each oblique incident angle at the sampling point is calculated, and the average is calculated to obtain the abnormal fluctuation degree of the sampling point;

[0019] The product of the overall abnormality degree and the abnormal fluctuation degree of the sampling point is used as the overall abnormality index of the sampling point; the overall abnormality index and the abnormality degree of the sampling point are weighted summed to obtain the ultrasonic abnormality index of the sampling point.

[0020] Furthermore, the method of screening out suspected defect points from all sampling points based on ultrasonic abnormality indicators includes:

[0021] When the normalized value of the ultrasonic abnormality index of the sampling point is greater than the preset abnormality threshold, the corresponding sampling point is regarded as a suspected defect point.

[0022] Furthermore, the method for obtaining the extended range includes:

[0023] According to the closeness of the fluctuation anomaly index of each suspected defect point at different oblique incident angles, combined with the closeness of the corresponding oblique incident angles, all oblique incident angles are divided to obtain the abnormal approximate group of each suspected defect point;

[0024] Determine the elongation of each suspected defect point based on the distribution size of the fluctuation anomaly index in the anomaly approximation group of each suspected defect point;

[0025] For any suspected defect point, the difference between the ultrasonic abnormality index of the suspected defect point and each adjacent sampling point is calculated to obtain the abnormal difference degree of each adjacent sampling point; when the abnormal difference degree is the smallest, the direction of the suspected defect point toward the corresponding adjacent sampling point is taken as the extension direction;

[0026] The extension range of the suspected defect point in the extension direction is taken as the extension range of the suspected defect point.

[0027] Furthermore, the method for obtaining the abnormal similarity group includes:

[0028] Arrange the fluctuation anomaly index of each suspected defect point in the order of small to large oblique incident angle to obtain a fluctuation anomaly index sequence;

[0029] The difference between each two adjacent fluctuation anomaly indicators in the fluctuation anomaly indicator sequence is used as the difference to be divided; the minimum value of the two fluctuation anomaly indicators when the difference to be divided is the largest is used as the division indicator;

[0030] All oblique incident angles whose fluctuation anomaly index is greater than the division index are taken as an abnormal approximation group for each suspected defect point, and all other oblique incident angles are taken as another abnormal approximation group for each suspected defect point.

[0031] Further, the elongation of each suspected defect point is determined based on the distribution size of the fluctuation abnormality index in the abnormal approximation group of each suspected defect point, including:

[0032] Calculate the sum of all fluctuation abnormality indicators in each abnormal approximate group of each suspected defect point as the defect indicator of each abnormal approximate group; take the abnormal approximate group with the largest defect indicator as the detection group of each suspected defect point;

[0033] The extreme difference of the oblique incident angle in the detection group of each suspected defect point is taken as the extension of each suspected defect point.

[0034] Furthermore, the performance influence of the aluminum alloy pipe to be tested is obtained based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormality index, including:

[0035] The average value of the ultrasonic abnormality indexes of all suspected defect points is taken as the defect abnormality influence; the sum of the extension ranges of all suspected defect points is taken as the defect abnormality distribution index;

[0036] The performance impact of the aluminum alloy pipe to be tested is obtained by combining the defect abnormality influence and defect abnormality distribution index.

[0037] The present invention also provides a performance testing system for aluminum alloy pipes, comprising:

[0038] At each sampling point on the surface of the aluminum alloy pipe to be tested, ultrasonic reflection waveforms at vertical incident angles and different oblique incident angles are obtained;

[0039] A data acquisition module is used to obtain the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms for each ultrasonic reflection waveform diagram;

[0040] The defect anomaly analysis module is used to obtain the ultrasonic anomaly index of each sampling point according to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles; and to screen out suspected defect points from all sampling points based on the ultrasonic anomaly index;

[0041] According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incident angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained;

[0042] The performance impact analysis module is used to obtain the performance impact of the aluminum alloy pipe to be tested based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormality index.

[0043] The present invention also provides a performance testing device for aluminum alloy pipes, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a performance testing method for aluminum alloy pipes as described in any one of the above items is implemented.

[0044] The present invention has the following beneficial effects:

[0045] When the present invention detects each sampling position on the surface of the pipe, it first performs an abnormal analysis on each detected ultrasonic reflection waveform diagram, obtains a fluctuation abnormality index to reflect the degree of waveform abnormality under each detection, and based on the abnormal situation of the vertical incident angle, combines multiple oblique incident angles to comprehensively analyze the degree of change of the fluctuation abnormality, so as to reduce the interference of the pipe's own structure on the detection, and obtains an ultrasonic abnormality index reflecting the defect abnormality at each sampling point. The location of the defect abnormality is preliminarily screened out by the ultrasonic abnormality index, and the extension range of the defect is determined by considering the abnormal approximation between multiple oblique incident angles at the position, and the extension trend of the defect is reflected, which is convenient for subsequent more detailed analysis of the degree of defect abnormality in the extension range, and more accurately reflects the degree of influence on the performance of the pipe. The present invention combines multiple oblique incident angles to analyze abnormal situations, determine more accurate defect abnormal positions and extension ranges, improve the analysis accuracy of ultrasonic flaw detection, and make the performance test results more reliable.

[0046] In the present invention, the above-mentioned technical solutions can also be combined with each other to achieve more preferred combination solutions. Other features and advantages of the present invention will be described in the subsequent description, and some advantages can become obvious from the description, or can be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained through the contents particularly pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings are only used for the purpose of illustrating specific embodiments and are not to be considered as limiting the present invention. In the entire drawings, the same reference symbols represent the same components;

[0048] Figure 1 A flow chart of a performance testing method for aluminum alloy pipes provided by one embodiment of the present invention;

[0049] Figure 2 A schematic diagram of an ultrasonic reflection waveform diagram corresponding to a defect-free situation provided by an embodiment of the present invention;

[0050] Figure 3 A schematic diagram of an ultrasonic reflection waveform diagram in a defective situation provided by an embodiment of the present invention;

[0051] Figure 4 A flow chart of a method for acquiring an extended range provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a performance testing method, system and device for aluminum alloy pipes proposed according to the present invention, its specific implementation method, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0053] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0054] The following is a detailed description of a specific scheme of a performance testing method, system and device for aluminum alloy pipes provided by the present invention in conjunction with the accompanying drawings.

[0055] Embodiment 1:

[0056] See also Figure 1 , which shows a flow chart of a performance testing method for aluminum alloy pipes provided by an embodiment of the present invention, the method comprising the following steps:

[0057] S1: At each sampling point on the surface of the aluminum alloy pipe to be tested, obtain the ultrasonic reflection waveform at the vertical incident angle and different oblique incident angles.

[0058] In an embodiment of the present invention, an ultrasonic reflection test is performed on the surface of an aluminum alloy pipe by an ultrasonic nondestructive flaw detector, and the ultrasonic reflection waveform diagram obtained at each sampling point under a straight probe is used as an ultrasonic reflection waveform diagram at a vertical incident angle, and the ultrasonic reflection waveform diagram obtained at different angles along the extension direction of the pipe under an oblique probe is used as an ultrasonic reflection waveform diagram at different oblique incident angles. Multiple ultrasonic reflection waveform diagrams at all sampling point positions are uploaded to the system and analyzed. In a specific implementation method of an embodiment of the present invention, the sampling points are evenly distributed in a grid shape, and the sampling points are spaced 2 cm apart from other sampling points in the four neighboring directions. The oblique incident angles of the oblique probe may include: 45°, 56.3°, 63.4°, 68.2° and 71.6°. The specific sampling process and parameter settings can be adjusted by the implementer according to the specific implementation situation, and are not limited here.

[0059] S2: For each ultrasonic reflection waveform diagram, according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms, the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram is obtained.

[0060] When the emitted ultrasonic beam encounters an interface or defect different from the surrounding medium in the pipe, such as cracks, holes, inclusions or material discontinuity, a reflected wave will be generated and reflected in the ultrasonic reflection waveform diagram. The material of the aluminum alloy pipe with good performance is uniform. If there is a defective part, it will destroy the uniformity of the material at the corresponding position. Due to the different acoustic impedances of different media, ultrasonic waves will be reflected at the interface of materials with different acoustic impedances.

[0061] Therefore, in the normal area, the material is uniform, and the ideal ultrasonic reflection waveform only has the initial wave and the bottom wave, with no reflection wave in the middle, and the bottom wave is similar to the initial wave. The ultrasonic reflection corresponding to the defective part is affected, and an abnormal reflection waveform will appear between the initial wave and the bottom wave. Under the influence of abnormal conditions, there may be multiple reflection waveforms, and the bottom wave may disappear or weaken.

[0062] The initial wave is the signal displayed at the starting position of the screen after the transmitting pulse directly enters the receiving circuit, and the bottom wave is the reflected echo generated by the ultrasonic wave reaching the bottom surface of the workpiece opposite to the incident surface. Figure 2 , which shows a schematic diagram of an ultrasonic reflection waveform diagram corresponding to a defect-free situation provided by an embodiment of the present invention, Figure 3 , which shows a schematic diagram of an ultrasonic reflection waveform diagram of a defective situation provided by an embodiment of the present invention, T represents the initial wave, B represents the bottom wave, (a), (b) and (c) are ultrasonic reflection waveform diagrams of different defective situations, the horizontal axis of the ultrasonic reflection waveform diagram represents the time axis, and the vertical axis represents the reflection signal amplitude axis.

[0063] Therefore, by analyzing the distribution approximation of the initial wave and the bottom wave in the ultrasonic reflection waveform image and the distribution change of the overall waveform, the waveform abnormality reflected by each ultrasonic reflection waveform image is obtained. Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the fluctuation abnormality index includes:

[0064] First, for any ultrasonic reflection waveform graph, obtain the peak in the ultrasonic reflection waveform graph. In an embodiment of the present invention, an Automatic Multi-scale Peak Detection Algorithm (AMPD) can be used to obtain the peak in the ultrasonic reflection waveform graph, and each peak corresponds to a peak. It should be noted that peak acquisition is a technical means well known to those skilled in the art and will not be elaborated here.

[0065] Furthermore, the degree of similarity between the initial wave and the bottom wave is analyzed. The more similar the initial wave is to the bottom wave, the more normal the bottom wave is, and the possibility that the waveform is abnormal is low. The amplitude difference between the first peak and the last peak in the ultrasonic reflection waveform is used as the amplitude difference of the ultrasonic reflection waveform. Considering the weakening of the bottom wave, the greater the amplitude difference, the greater the waveform difference. The time period between the first peak and the last peak in the ultrasonic reflection waveform is used as the distribution index of the ultrasonic reflection waveform. Considering the missing bottom wave, the farther the bottom wave is from the initial wave, the more reliable the bottom wave analysis result is.

[0066] Then, the amplitude difference and distribution index of the ultrasonic reflection waveform are combined to obtain the bottom wave abnormality of the ultrasonic reflection waveform. In the embodiment of the present invention, the value of the distribution index negatively correlated with the product of the amplitude difference is normalized and used as the bottom wave abnormality of the ultrasonic reflection waveform. The smaller the distribution index is, the greater the amplitude difference is, indicating that the possibility of the bottom wave abnormality is higher, so the bottom wave abnormality is greater. It should be noted that negative correlation mapping and normalization are technical means well known to those skilled in the art, such as using inverse proportion for negative correlation mapping, using linear normalization function for normalization, etc., which will not be elaborated here.

[0067] Finally, according to the number of peaks in the ultrasonic reflection waveform, the degree of disorder of the amplitude of all peaks and the abnormality of the bottom wave, the fluctuation anomaly index of the ultrasonic reflection waveform is obtained. When the number of peaks in the ultrasonic reflection waveform is more and the changes are more complex, it means that the reflection situation at the corresponding position is more complex, and it is more likely to be a defect abnormality rather than a structural influence. In the embodiment of the present invention, the total number of peaks in the ultrasonic reflection waveform, the variance of the amplitude of all peaks and the product of the abnormality of the bottom wave are used as the fluctuation anomaly index of the ultrasonic reflection waveform. The larger the fluctuation anomaly index, the more significant the abnormal situation reflected in the waveform.

[0068] At this point, by analyzing each ultrasonic reflection waveform diagram, the degree to which each ultrasonic reflection waveform diagram reflects abnormality is obtained.

[0069] S3: According to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles, the ultrasonic anomaly index of each sampling point is obtained; based on the ultrasonic anomaly index, suspected defect points are screened out from all sampling points.

[0070] Under normal circumstances, the vertical incident angle can be used directly to detect defects. However, as the shape complexity of special-shaped pipes increases, there will be reflections caused by their own texture structure during ultrasonic testing, which will interfere with the analysis of defect anomalies. The embodiment of the present invention further analyzes the complex anomalies of reflections through re-detection of multiple oblique probe incident angles to screen out locations that are more likely to be defects.

[0071] For the part with defect anomalies at the sampling point, the size of the fluctuation anomaly index will be higher at the vertical incidence angle, and through multi-angle oblique incidence ultrasonic detection, the local overall changes are analyzed to reflect the abnormal mode. When the overall abnormal reflection is relatively stable at multiple angles, it is more likely that the anomaly is caused by the internal texture structure.

[0072] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the ultrasonic abnormality index includes:

[0073] First, for any sampling point, the value after normalization of the fluctuation anomaly index of the sampling point at the vertical incident angle is used as the anomaly degree of the sampling point. The waveform anomaly at the vertical incident angle more directly reflects the possibility of defect anomaly at the sampling point.

[0074] Furthermore, the average of the fluctuation anomaly index at all oblique incident angles at the sampling point is taken as the overall abnormality of the sampling point. The larger the overall fluctuation anomaly at the oblique incident angle, the higher the possibility of defect abnormality. The difference between the fluctuation anomaly index and the overall abnormality at each oblique incident angle at the sampling point is further calculated, and the average is calculated to obtain the abnormal fluctuation degree of the sampling point. The smaller the abnormal fluctuation degree, the more stable the fluctuation anomaly is in the local area of ​​the pipe, indicating that the possibility of defect abnormality is small.

[0075] Finally, the product of the overall abnormality degree and the abnormal fluctuation degree of the sampling point is used as the overall abnormality index of the sampling point. Through multi-angle local overall analysis, the defect abnormality possibility at the sampling point is reflected. The overall abnormality index and the abnormality degree of the sampling point are weighted and summed to obtain the ultrasonic abnormality index of the sampling point. Through the weighted form, the direct analysis of the vertical incident angle and the overall analysis under multiple oblique incident angles are combined to comprehensively reflect the defect abnormality possibility at the sampling point position. In a specific implementation method of an embodiment of the present invention, the weight of the overall abnormality index is set to 0.4, and the weight of the abnormality degree is set to 0.6. The specific weights can be adjusted by the implementer.

[0076] Further, based on the comprehensive analysis of the ultrasonic abnormality index, suspected defect points are screened out and the range of the location points is narrowed to facilitate subsequent further accurate analysis of the defect situation. Preferably, in an embodiment of the present invention, when the normalized value of the ultrasonic abnormality index of the sampling point is greater than a preset abnormality threshold, the corresponding sampling point is taken as a suspected defect point. In an embodiment of the present invention, the preset abnormality threshold is set to 0.7, and the specific value can be adjusted by the implementer.

[0077] At this point, the preliminary confirmation of the defect location is completed.

[0078] S4: According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incidence angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained.

[0079] Since the defects in aluminum alloy pipes are not only parallel to the detection plane, in order to determine the extension range of defects more accurately, based on the changes in the multi-angle oblique incident angles of each suspected defect point, the best incident angle that reflects the abnormality of the defect is analyzed, and the extension trend degree along the extension of the pipe is reflected. And through the distribution of the sampling points of the suspected defect points in the abnormality degree, the extension trend direction of the suspected defect points in the extended defect movement analysis is analyzed.

[0080] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the extension range of the suspected defect point can be found in Figure 4 , which shows a flow chart of a method for obtaining an extended range provided by an embodiment of the present invention, the method comprising the following steps:

[0081] S401: According to the proximity of the fluctuation anomaly index of each suspected defect point at different oblique incident angles, combined with the proximity of the corresponding oblique incident angles, all oblique incident angles are divided to obtain an abnormal approximate group for each suspected defect point.

[0082] Through the approximate situation of the oblique incident angle under the fluctuation anomaly index, the longitudinal angle range of the defect part on the cross section of the pipe can be determined, so that the defect analysis at the suspected defect point position is not only the size of the vertical injection detection plane, but also considers the detectable angle degree of the defect extending longitudinally to the cross section. Therefore, all oblique incident angles are first divided based on the fluctuation anomaly index.

[0083] In an embodiment of the present invention, the fluctuation anomaly index of each suspected defect point is arranged in order from small to large according to the oblique incident angle to obtain a fluctuation anomaly index sequence, the difference between every two adjacent fluctuation anomaly indexes in the fluctuation anomaly index sequence is used as the difference to be divided, the minimum value of the two fluctuation anomaly indexes when the difference to be divided is the largest is used as the division index, and the division is performed according to the mutation degree of the fluctuation anomaly index at the continuously changing angle.

[0084] All oblique incident angles whose fluctuation anomaly index is greater than the division index are taken as an abnormal approximation group for each suspected defect point, and all other oblique incident angles are taken as another abnormal approximation group for each suspected defect point, so as to realize grouping based on the approximation of the fluctuation anomaly index. In other embodiments of the present invention, clustering can also be performed in the two-dimensional space of all angles and fluctuation anomaly indexes of each suspected defect point to realize grouping, which will not be described in detail here.

[0085] S402: Determine the elongation of each suspected defect point based on the distribution size of the fluctuation abnormality index in the abnormal approximation group of each suspected defect point.

[0086] For the angle transformation belonging to the defective part, the distribution size of the fluctuation abnormality index should be higher. Therefore, in the embodiment of the present invention, the sum of all the fluctuation abnormality indexes in each abnormal approximation group of each suspected defect point is calculated as the defect index of each abnormal approximation group, and the abnormal approximation group with the largest defect index is used as the detection group of each suspected defect point. The detection group is the effective oblique incidence angle group corresponding to the defective part.

[0087] Therefore, the extreme difference of the oblique incident angle in the detection group of each suspected defect point is further used as the extension degree of each suspected defect point, reflecting the additional extension degree required when analyzing defects at the position of the suspected defect point.

[0088] S403: For any suspected defect point, the difference between the ultrasonic abnormality index of the suspected defect point and each adjacent sampling point is calculated to obtain the abnormality difference of each adjacent sampling point; when the abnormality difference is minimized, the direction of the suspected defect point toward the corresponding adjacent sampling point is used as the extension direction.

[0089] When analyzing the defect range, the ultrasonic abnormality index will gradually decrease, so the extension direction of the defect is reflected by the reduction degree of the abnormality of the adjacent sampling points. In the embodiment of the present invention, each of the most adjacent sampling points of the suspected defect point in the eight neighborhood directions is used as the adjacent sampling point of the suspected defect point, and the direction in which the difference between the ultrasonic abnormality index of the suspected defect point and the adjacent sampling point is the smallest is used as the extension direction of the defect distribution change for subsequent analysis.

[0090] S404: taking the extension range of the suspected defect point in the extension direction as the extension range of the suspected defect point.

[0091] Through further movement detection and analysis of the probe, the range of the extension degree of the probe angle movement at the suspected defect point is used as the extension range of the suspected defect point.

[0092] At this point, at each suspected defect point, a range analysis is performed on possible tiny defects and defects that are not parallel to the detection plane.

[0093] S5: Based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormal index, the performance impact of the aluminum alloy pipe to be tested is obtained. Finally, based on the more accurate analysis of the defect extension range and the degree of defect abnormality at the location of the suspected defect point, the degree of performance impact of the aluminum alloy pipe to be tested is reflected.

[0094] Preferably, in an embodiment of the present invention, the method for obtaining the performance impact includes:

[0095] First, the average of the ultrasonic abnormality indexes of all suspected defect points is used as the defect abnormality impact. The higher the overall ultrasonic abnormality index, the more significant the defect abnormality. And further, the sum of the extension ranges of all suspected defect points is used as the defect abnormality distribution index. The larger the extension range of the existing defect abnormality, the greater the impact of the defect abnormality.

[0096] Finally, the performance impact of the aluminum alloy pipe to be tested is obtained by combining the defect abnormality impact and the defect abnormality distribution index. In the embodiment of the present invention, the product of the defect abnormality impact and the defect abnormality distribution index is used as the performance impact of the aluminum alloy pipe to be tested. In the embodiment of the present invention, the performance impact of the aluminum alloy pipe to be tested and the extension range of all suspected defect points can be displayed to the staff through an output device such as a display to facilitate subsequent analysis and processing, which will not be repeated here.

[0097] In summary, when the present invention detects each sampling position on the surface of the pipe, it first performs an abnormal analysis on each detected ultrasonic reflection waveform diagram to obtain a fluctuation abnormality index reflecting the degree of waveform abnormality under each detection, and based on the abnormal situation of the vertical incident angle, the fluctuation abnormality is comprehensively analyzed in combination with multiple oblique incident angles to reduce the interference of the pipe's own structure on the detection, and an ultrasonic abnormality index reflecting the defect abnormality at each sampling point is obtained. The location of the defect abnormality is preliminarily screened out through the ultrasonic abnormality index, and the abnormal approximation between multiple oblique incident angles at the position is considered to consider the degree of local abnormal distribution, determine the extension range of the defect, and reflect the extension trend of the defect, so as to facilitate the subsequent more detailed analysis of the degree of defect abnormality in the extension range, and more accurately reflect the degree of influence on the performance of the pipe. The present invention combines multiple oblique incident angles to analyze abnormal situations, determine more accurate defect abnormality locations and extension ranges, improve the analysis accuracy of ultrasonic flaw detection, and make the performance test results more reliable.

[0098] Embodiment 2:

[0099] The present invention also provides a performance testing system for aluminum alloy pipes, comprising:

[0100] At each sampling point on the surface of the aluminum alloy pipe to be tested, ultrasonic reflection waveforms at vertical incident angles and different oblique incident angles are obtained;

[0101] A data acquisition module is used to obtain the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms for each ultrasonic reflection waveform diagram;

[0102] The defect anomaly analysis module is used to obtain the ultrasonic anomaly index of each sampling point according to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles; and to screen out suspected defect points from all sampling points based on the ultrasonic anomaly index;

[0103] According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incident angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained;

[0104] The performance impact analysis module is used to obtain the performance impact of the aluminum alloy pipe to be tested based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormality index.

[0105] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functional distribution can be completed by different functional modules as needed, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. Since the specific implementation process of a performance testing system for aluminum alloy pipes in this embodiment is the same as the specific implementation process of a performance testing method for aluminum alloy pipes in the above embodiment, it will not be repeated here.

[0106] Embodiment 3:

[0107] A performance testing device for aluminum alloy pipes, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, steps of a performance testing method for aluminum alloy pipes as described in the above embodiment are implemented.

[0108] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0109] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A performance testing method for aluminum alloy pipes, characterized in that: The method comprises: At each sampling point on the surface of the aluminum alloy pipe to be tested, ultrasonic reflection waveforms at vertical incident angles and different oblique incident angles are obtained; For each ultrasonic reflection waveform diagram, according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms, the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram is obtained; According to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle, and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles, the ultrasonic anomaly index of each sampling point is obtained; based on the ultrasonic anomaly index, the suspected defect points are screened out from all sampling points; According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incident angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained; Based on the extension range of the suspected defect points and the fluctuation distribution of the ultrasonic abnormality index, the performance influence of the aluminum alloy pipe to be tested is obtained; The method for obtaining the extended range includes: According to the closeness of the fluctuation anomaly index of each suspected defect point at different oblique incident angles, combined with the closeness of the corresponding oblique incident angles, all oblique incident angles are divided to obtain the abnormal approximate group of each suspected defect point; Determine the elongation of each suspected defect point based on the distribution size of the fluctuation anomaly index in the anomaly approximation group of each suspected defect point; For any suspected defect point, the difference between the ultrasonic abnormality index of the suspected defect point and each adjacent sampling point is calculated to obtain the abnormal difference degree of each adjacent sampling point; when the abnormal difference degree is the smallest, the direction of the suspected defect point toward the corresponding adjacent sampling point is taken as the extension direction; The extension range of the suspected defect point in the extension direction is taken as the extension range of the suspected defect point.

2. A performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The method for obtaining the abnormal fluctuation index includes: For any ultrasonic reflection waveform diagram, obtaining a peak in the ultrasonic reflection waveform diagram; The amplitude difference between the first peak and the last peak in the ultrasonic reflection waveform is used as the amplitude difference of the ultrasonic reflection waveform; the time period between the first peak and the last peak in the ultrasonic reflection waveform is used as the distribution index of the ultrasonic reflection waveform; Combining the amplitude difference and distribution index of the ultrasonic reflection waveform diagram, obtaining the bottom wave abnormality of the ultrasonic reflection waveform diagram; According to the number of peaks in the ultrasonic reflection waveform diagram, the degree of disorder of the amplitudes of all peaks and the abnormality of the bottom wave, the fluctuation abnormality index of the ultrasonic reflection waveform diagram is obtained.

3. A performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The method for obtaining the ultrasound abnormality index comprises: For any sampling point, the value after normalization of the fluctuation anomaly index of the sampling point at the vertical incidence angle is taken as the anomaly degree of the sampling point; The average of the fluctuation anomaly indexes at all oblique incident angles at the sampling point is taken as the overall anomaly degree of the sampling point; the difference between the fluctuation anomaly index and the overall anomaly degree at each oblique incident angle at the sampling point is calculated, and the average is calculated to obtain the abnormal fluctuation degree of the sampling point; The product of the overall abnormality degree and the abnormal fluctuation degree of the sampling point is used as the overall abnormality index of the sampling point; the overall abnormality index and the abnormality degree of the sampling point are weighted summed to obtain the ultrasonic abnormality index of the sampling point.

4. A performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The method of screening out suspected defect points from all sampling points based on ultrasonic abnormality indicators includes: When the normalized value of the ultrasonic abnormality index of the sampling point is greater than the preset abnormality threshold, the corresponding sampling point is regarded as a suspected defect point.

5. The performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The method for obtaining the abnormal similarity group includes: Arrange the fluctuation anomaly index of each suspected defect point in the order of small to large oblique incident angle to obtain a fluctuation anomaly index sequence; The difference between each two adjacent fluctuation anomaly indicators in the fluctuation anomaly indicator sequence is used as the difference to be divided; the minimum value of the two fluctuation anomaly indicators when the difference to be divided is the largest is used as the division indicator; All oblique incident angles whose fluctuation anomaly index is greater than the division index are taken as an abnormal approximation group for each suspected defect point, and all other oblique incident angles are taken as another abnormal approximation group for each suspected defect point.

6. A performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The step of determining the elongation of each suspected defect point based on the distribution size of the fluctuation abnormality index in the abnormal approximation group of each suspected defect point includes: Calculate the sum of all fluctuation abnormality indicators in each abnormal approximate group of each suspected defect point as the defect indicator of each abnormal approximate group; take the abnormal approximate group with the largest defect indicator as the detection group of each suspected defect point; The extreme difference of the oblique incident angle in the detection group of each suspected defect point is taken as the extension of each suspected defect point.

7. A performance testing method for aluminum alloy pipes according to claim 1, characterized in that: The method of obtaining the performance influence of the aluminum alloy pipe to be tested based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormality index includes: The average value of the ultrasonic abnormality indexes of all suspected defect points is taken as the defect abnormality influence; the sum of the extension ranges of all suspected defect points is taken as the defect abnormality distribution index; The performance impact of the aluminum alloy pipe to be tested is obtained by combining the defect abnormality influence and defect abnormality distribution index.

8. A performance testing system for aluminum alloy pipes, characterized in that: include: At each sampling point on the surface of the aluminum alloy pipe to be tested, ultrasonic reflection waveforms at vertical incident angles and different oblique incident angles are obtained; A data acquisition module is used to obtain the fluctuation abnormality index corresponding to each ultrasonic reflection waveform diagram according to the distribution proximity of the initial wave and the bottom wave, and the distribution change degree of all waveforms for each ultrasonic reflection waveform diagram; The defect anomaly analysis module is used to obtain the ultrasonic anomaly index of each sampling point according to the size of the fluctuation anomaly index at each sampling point under the vertical incidence angle and the distribution fluctuation of the fluctuation anomaly index at different oblique incidence angles; and to screen out suspected defect points from all sampling points based on the ultrasonic anomaly index; According to the approximate distribution of the fluctuation anomaly index of each suspected defect point at different oblique incident angles and the distribution of the ultrasonic anomaly index of the local sampling point, the extension range of each suspected defect point is obtained; The method for obtaining the extended range includes: According to the closeness of the fluctuation anomaly index of each suspected defect point at different oblique incident angles, combined with the closeness of the corresponding oblique incident angles, all oblique incident angles are divided to obtain the abnormal approximate group of each suspected defect point; Determine the elongation of each suspected defect point based on the distribution size of the fluctuation anomaly index in the anomaly approximation group of each suspected defect point; For any suspected defect point, the difference between the ultrasonic abnormality index of the suspected defect point and each adjacent sampling point is calculated to obtain the abnormal difference degree of each adjacent sampling point; when the abnormal difference degree is the smallest, the direction of the suspected defect point toward the corresponding adjacent sampling point is taken as the extension direction; The extension range of the suspected defect point in the extension direction is taken as the extension range of the suspected defect point; The performance impact analysis module is used to obtain the performance impact of the aluminum alloy pipe to be tested based on the extension range of the suspected defect point and the fluctuation distribution of the ultrasonic abnormality index.

9. A performance testing device for aluminum alloy pipes, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the performance testing method for aluminum alloy pipes as described in any one of claims 1 to 7 is implemented.

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