CN116359342A - Nondestructive testing method for electric control room welding seam - Google Patents

Nondestructive testing method for electric control room welding seam Download PDF

Info

Publication number
CN116359342A
CN116359342A CN202310346560.1A CN202310346560A CN116359342A CN 116359342 A CN116359342 A CN 116359342A CN 202310346560 A CN202310346560 A CN 202310346560A CN 116359342 A CN116359342 A CN 116359342A
Authority
CN
China
Prior art keywords
electric control
ultrasonic probe
control room
nondestructive testing
testing method
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310346560.1A
Other languages
Chinese (zh)
Inventor
王军
王晓东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Baoji Northwest Petroleum Machinery Co ltd
Original Assignee
Baoji Northwest Petroleum Machinery Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Baoji Northwest Petroleum Machinery Co ltd filed Critical Baoji Northwest Petroleum Machinery Co ltd
Priority to CN202310346560.1A priority Critical patent/CN116359342A/en
Publication of CN116359342A publication Critical patent/CN116359342A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/04Analysing solids
    • G01N29/043Analysing solids in the interior, e.g. by shear waves
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22Details, e.g. general constructional or apparatus details
    • G01N29/24Probes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/44Processing the detected response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/46Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/023Solids
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/02Indexing codes associated with the analysed material
    • G01N2291/028Material parameters
    • G01N2291/0289Internal structure, e.g. defects, grain size, texture
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2291/00Indexing codes associated with group G01N29/00
    • G01N2291/26Scanned objects
    • G01N2291/267Welds
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/30Nuclear fission reactors

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Acoustics & Sound (AREA)
  • Mathematical Physics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)

Abstract

The invention discloses a nondestructive testing method for an electric control room welding seam, which comprises the following steps: the surface of the welding line of the electric control room is treated to remove impurities; setting ultrasonic probe detection parameters according to the material and structural characteristics of the detected object; the ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. By using the ultrasonic technology as a nondestructive detection tool, defects and damages in a welding area can be quickly and accurately found, and the size and shape conditions of the defects are automatically calculated, so that accurate actual measurement data support is provided for weld quality assessment. Compared with the traditional detection method, the method has the advantages of high detection speed, high accuracy, low cost and the like. The cable can be widely applied to welding parts of various electric control rooms, and the cable is not required to be disassembled, so that the time and the cost are greatly saved.

Description

Nondestructive testing method for electric control room welding seam
Technical Field
The invention belongs to the technical field of nondestructive testing, and relates to a nondestructive testing method for an electric control room welding seam.
Background
An electric control house for an oil rig is an important constituent facility, which is required to have high stability during actual operation. In the manufacturing process of an electric control room, welding is the most important manufacturing process, and the quality of welding seams plays a decisive role in various aspects of safety, efficiency, reliability and the like of facilities. Meanwhile, with the continuous development of petroleum drilling rigs, higher requirements are also put forward on the quality and stability of the welding seams of the electric control room.
The traditional weld joint detection method comprises the technologies of appearance inspection, ray detection, magnetic powder detection, penetration detection and the like, and can evaluate the defects of the exposed surface, but the traditional weld joint detection method is insufficient for detecting hidden defects, and has the defects of complex process and high cost. Meanwhile, the traditional nondestructive testing method has the problems of low efficiency, insufficient accuracy, high cost and the like. Therefore, a novel detection method is needed to efficiently and accurately detect various physical properties of the welding line so as to ensure the quality and safety of an electric control room. Based on the background, the invention aims to provide a nondestructive testing method for an electric control room welding seam so as to optimize the welding seam quality and ensure the reliability and stability of industrial production.
Disclosure of Invention
The invention aims to provide a nondestructive testing method for an electric control room welding line, which is quick, accurate and low in cost, and can effectively ensure the quality stability of the electric control room welding line.
The technical scheme adopted by the invention is a nondestructive testing method for an electric control room welding seam, which comprises the following steps:
the surface of the welding line of the electric control room is treated to remove impurities;
setting ultrasonic probe detection parameters according to the material and structural characteristics of the detected object;
the ultrasonic probe transmits ultrasonic waves, receives reflected echoes, processes data of the reflected echoes and judges the quality of welding seams of the electric control room.
The invention is also characterized in that:
and (3) treating the surface of the weld joint to be detected by a sand blasting machine, removing impurities such as welding slag, greasy dirt, oxide and the like, and ensuring the smooth surface.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam.
The ultrasonic probe is an S-shaped ultrasonic probe or an L-shaped ultrasonic probe.
Ultrasonic probe detection parameters include, but are not limited to, frequency, amplitude, pulse width.
The frequency of the ultrasonic probe is 4MHz-20MHz, the amplitude of the ultrasonic probe is 10V-100V, and the pulse width of the ultrasonic probe is 2 mu s-20 mu s.
The ultrasonic probe adopts multi-power supply, and can realize the rapid switching of multiple groups of parameters.
Before detection, the ultrasonic probe is subjected to filtering pretreatment.
During data processing, according to the reflected echo, the effect of ultrasonic wave propagation in the welding line and defect information in the welding line are judged by combining the propagation time and the distance.
And in the detection, a polynomial regression algorithm is adopted to fit the intensity of the reflected echo.
The technical scheme of the invention can quickly and accurately find defects and damages in a welding area by using an ultrasonic technology as a nondestructive detection tool, and automatically calculate the size and shape of the defects, thereby providing accurate actual measurement data support for the assessment of the weld quality. Compared with the traditional detection method, the method has the advantages of high detection speed, high accuracy, low cost and the like. The cable can be widely applied to welding parts of various electric control rooms, and the cable is not required to be disassembled, so that the time and the cost are greatly saved. In practical application, the method is verified repeatedly and experimentally, has a stable and reliable system architecture, can help manufacturing enterprises to better realize production targets, improves the quality and safety of products, accelerates the research and development process of the products, and promotes technological development.
Drawings
FIG. 1 is a schematic flow chart of the nondestructive testing method for weld joints of an electrical control room of the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings and the detailed description.
As shown in FIG. 1, the nondestructive testing method for the welding line of the electric control room comprises the following specific implementation steps:
1. treating the surface of the welding seam of the electric control room
Impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. The surface of the welding line can be cleaned by adopting methods such as sand blasting machine polishing, wiping, scraping and the like, or can be cleaned by adopting a high-pressure water flow flushing method, and the surface can be naturally dried after cleaning, so that the detection effect is prevented from being influenced by water stains.
2. Setting ultrasonic probe detection parameters according to the material and structural characteristics of the detected object
According to the material and structural characteristics of the electric control room, and by combining factors such as the type, thickness, surface state and the like of the welding seam of the electric control room, selecting a proper ultrasonic probe, such as an S-shaped probe and an L-shaped probe; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. In general, the frequency of the ultrasonic probe can be set to 4MHz-20MHz, the amplitude of the ultrasonic probe can be set to 10V-100V, and the pulse width of the ultrasonic probe can be set to 2 mu s-20 mu s. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
3. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged
For the placement of the probe, the scanning should be performed perpendicular to the surface of the weld, parallel to the weld, so that defects can be detected to the maximum and their physical properties can be accurately described. And transmitting ultrasonic waves, receiving the reflected echo by the receiver, and analyzing the intensity, echo time difference and other information of the reflected echo to judge the quality of the welding seam. Specifically, the ultrasonic probe is closely attached to the surface of the weld joint of the electric control room, ultrasonic waves are emitted, and returned echo signals are received. Key factors in the detection process include residence time, angle of incidence, distance of the probe from the weld, transducer in the probe, and signal bandwidth.
The echo signal needs to be subjected to data processing to obtain a detection result with accurate quality. The processing mode can use digital signal processing technology, such as FFT conversion, spectrum analysis and other methods. And in the detection, a polynomial regression algorithm is adopted to fit the intensity of the reflected echo. After the data of the welding line are obtained, the quality of the welding line is judged by using teaching experience and related criteria, such as the section shape, the notch, the air hole and the like of the welding line. The data and results obtained from the inspection are recorded, including assessment of weld size, location, defect type, and certain physical properties (such as surface defects and internal cracks). The final evaluation should be based on technical standards and verified on laboratory equipment and summarized analytically for future evaluation and maintenance as a reference. And according to the actual condition and the detection result, the maintenance or replacement suggestion is provided, and the reasonable assessment of the weld quality and the maintenance or replacement suggestion are provided.
The implementation process and principle are as follows:
ultrasonic nondestructive testing is a nondestructive testing method that uses the property of ultrasonic waves propagating in a material to detect defects in the material by emitting a beam of ultrasonic waves. When ultrasonic waves pass through defects in the material, phenomena such as attenuation, refraction or reflection occur, and whether the defects exist in the material can be judged by receiving the returned waveforms. The data returned from the probe is processed using computer software and the velocity of the ultrasound transverse wave is used to calculate the beam velocity in the dataset. The returned data set is controlled to be effective in scope to calculate various distance accuracies, thereby determining the physical characteristics of the welding seam, evaluating the quality of the welding seam in a quantitative method and fully utilizing imaging for displaying.
To further illustrate the technical solution of the present invention, the following examples are provided:
example 1:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. In this embodiment, the cleaning is performed by using a high-pressure water flow flushing method, and the surface is naturally dried after cleaning, so as to prevent the detection effect from being affected by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding line of the electric control room, wherein the L-shaped probe is adopted in the embodiment; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 4MHz, the ultrasonic probe amplitude was set to 10V, and the ultrasonic probe pulse width was set to 2 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data processing mode may use a digital signal processing technology, and in this embodiment, an FFT transformation method is adopted.
And the final detection result shows that the thickness of the welding line of the electric control room is 1.5mm, and the detection result is qualified.
Example 2:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. In this embodiment, the surface of the weld is cleaned by wiping, scraping and other methods, and the surface is naturally dried after cleaning, so as to prevent the detection effect from being affected by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding seam of the electric control room, wherein the embodiment adopts an S-shaped probe; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of the present embodiment is set to 7MHz, the ultrasonic probe amplitude may be set to 20V, and the ultrasonic probe pulse width may be set to 5 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data may be processed by digital signal processing techniques, in this embodiment using spectral analysis.
And the final detection result shows that the thickness of the welding line of the electric control room is 2mm, air holes are formed in the electric control room, and the detection result is unqualified.
Example 3:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. In the embodiment, the polishing method of the sand blasting machine can be adopted for cleaning, and the surface is naturally dried after cleaning, so that the detection effect is prevented from being influenced by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding line of the electric control room, wherein the L-shaped probe is adopted in the embodiment; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 8MHz, the ultrasonic probe amplitude was set to 30V, and the ultrasonic probe pulse width was set to 8 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data processing mode may use a digital signal processing technology, and in this embodiment, an FFT transformation method is adopted.
And the final detection result shows that the thickness of the welding line of the electric control room is 1mm, and the detection result is qualified.
Example 4:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. In this embodiment, the cleaning is performed by using a high-pressure water flow flushing method, and the surface is naturally dried after cleaning, so as to prevent the detection effect from being affected by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding line of the electric control room, wherein the L-shaped probe is adopted in the embodiment; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 10MHz, the ultrasonic probe amplitude was set to 45V, and the ultrasonic probe pulse width was set to 12 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data may be processed by digital signal processing techniques, in this embodiment using spectral analysis.
And the final detection result shows that the thickness of the welding line of the electric control room is 2.5mm, and the detection result is qualified.
Example 5:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. In this embodiment, the surface of the weld is cleaned by a scraping method, or may be cleaned by a high-pressure water flow flushing method, and the surface is naturally dried after cleaning, so as to prevent the detection effect from being affected by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding seam of the electric control room, wherein the embodiment adopts an S-shaped probe; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 12MHz, the ultrasonic probe amplitude was set to 60V, and the ultrasonic probe pulse width was set to 15 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data processing mode may use a digital signal processing technology, and in this embodiment, an FFT transformation method is adopted.
And the final detection result shows that the thickness of the welding line of the electric control room is 1.5mm, and the detection result is qualified.
Example 6:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. The scraping and cleaning are adopted in the embodiment, and the surface is naturally aired after cleaning, so that the detection effect is prevented from being influenced by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding line of the electric control room, wherein the L-shaped probe is adopted in the embodiment; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 16MHz, the ultrasonic probe amplitude was set to 80V, and the ultrasonic probe pulse width was set to 18 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data processing mode may use a digital signal processing technology, and in this embodiment, an FFT transformation method is adopted.
And the final detection result shows that the thickness of the welding line of the electric control room is 1mm, the inside of the electric control room is not fused, and the detection result is unqualified.
Example 7:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. The cleaning weld surface is adopted in the embodiment, and the surface is naturally aired after cleaning, so that the detection effect is prevented from being influenced by water stains.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding line of the electric control room, wherein the L-shaped probe is adopted in the embodiment; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of this embodiment was set to 20MHz, the ultrasonic probe amplitude was set to 100V, and the ultrasonic probe pulse width was set to 20 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data processing mode may use a digital signal processing technology, and in this embodiment, an FFT transformation method is adopted.
And the final detection result shows that the thickness of the welding line of the electric control room is 2mm, cracks exist in the electric control room, and the detection result is unqualified.
Example 8:
firstly, impurities and coatings on the surface of the welding line of the electric control room are cleaned and scraped, so that the condition of the welding line can be clearly observed. Adopt the sand blasting machine to polish in this embodiment to let the surface naturally dry after the clearance, in order to prevent that there is the water stain to influence the detection effect.
Secondly, selecting a proper ultrasonic probe according to the material and structural characteristics of the electric control room and combining factors such as the type, thickness, surface state and the like of a welding seam of the electric control room, wherein the embodiment adopts an S-shaped probe; and proper detection parameters including the frequency, amplitude, pulse width, working mode and the like of the probe are set according to specific weld joint positions, shapes and depths. The ultrasonic probe frequency of the present embodiment is set to 13MHz, the ultrasonic probe amplitude may be set to 55V, and the ultrasonic probe pulse width may be set to 13 μs. Meanwhile, the ultrasonic probe is subjected to filtering pretreatment before detection, so that potential influence is eliminated.
During detection, the ultrasonic probe is perpendicular to the surface of the welding seam, and the motion track is parallel to the direction of the welding seam. The proper residence time, incidence angle, distance between the probe and the weld joint, transducer in the probe and signal bandwidth are selected according to practical conditions in the detection process. The ultrasonic probe transmits ultrasonic waves and receives reflected echoes, and the reflected echoes are subjected to data processing and the weld quality of the electric control room is judged. The data may be processed by digital signal processing techniques, in this embodiment using spectral analysis.
And the final detection result shows that the thickness of the welding line of the electric control room is 1.5mm, and the detection result is qualified.
The implementation process and principle of the invention can be based on the ultrasonic nondestructive testing technology theory. In particular, welds are the most difficult and complex samples to detect without loss of detail, and high quality test probes and imaging algorithms are often required to achieve a spatially quantitative characterization of weld quality characteristics. Under the background of continuous development and innovation of ultrasonic nondestructive testing, the welding quality detection operation has excellent accuracy and stability through a group of ultrasonic pathology forms by utilizing computer machine vision processing. In this implementation, attention should be paid to the adjustment of various parameters, including optimization of the transmit frequency, focal length, probe size, focal length of the probe, and actual position of the probe, to maximize the performance of the welding quality sensing probe.
The nondestructive testing method for the welding line of the electric control room, which is provided by the invention, is quick, accurate and low in cost, and has important significance for guaranteeing the quality stability of the welding line. Compared with the traditional nondestructive testing method, the method has the advantages of high testing speed, high accuracy, low cost and the like. The method can be widely applied to nondestructive testing of various electric control room welding seams, and has positive promotion effects on promoting the development of manufacturing industry and improving the product quality.

Claims (10)

1. The nondestructive testing method for the welding line of the electric control room is characterized by comprising the following steps of:
the surface of the welding line of the electric control room is treated to remove impurities;
setting ultrasonic probe detection parameters according to the material and structural characteristics of the detected object;
the ultrasonic probe transmits ultrasonic waves, receives reflected echoes, processes data of the reflected echoes and judges the quality of welding seams of the electric control room.
2. The nondestructive testing method for the weld joint of the electric control room according to claim 1, wherein the surface of the weld joint to be tested is treated by a sand blaster before the test.
3. The nondestructive testing method for the welding seam of the electric control room according to claim 1, wherein the ultrasonic probe is perpendicular to the surface of the welding seam and the movement track is parallel to the direction of the welding seam during detection.
4. The nondestructive testing method for an electric control room weld according to claim 1, wherein the ultrasonic probe is an S-type ultrasonic probe or an L-type ultrasonic probe.
5. A nondestructive testing method for an electrical room weld according to claim 1 wherein the ultrasonic probe testing parameters include, but are not limited to, frequency, amplitude, pulse width.
6. The nondestructive testing method for electric control room welds according to claim 5, characterized in that the ultrasonic probe frequency is 4MHz-20MHz, the ultrasonic probe amplitude is 10V-100V, and the ultrasonic probe pulse width is 2 μs-20 μs.
7. A nondestructive testing method for electrical room welds according to claim 1 wherein said ultrasonic probe employs multiple power supplies.
8. The nondestructive testing method for the weld joint of the electric control room according to claim 1, wherein the ultrasonic probe is subjected to filtering pretreatment before the detection.
9. The nondestructive testing method for the welding seam of the electric control room according to claim 1, wherein the effect of ultrasonic wave propagation in the welding seam and defect information inside the welding seam are judged according to the reflected echo and the propagation time and the distance during data processing.
10. The method for nondestructive testing of weld joints in electrical control rooms of claim 9, wherein the intensities of the reflected echoes are fitted using a polynomial regression algorithm in the testing.
CN202310346560.1A 2023-04-03 2023-04-03 Nondestructive testing method for electric control room welding seam Pending CN116359342A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310346560.1A CN116359342A (en) 2023-04-03 2023-04-03 Nondestructive testing method for electric control room welding seam

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310346560.1A CN116359342A (en) 2023-04-03 2023-04-03 Nondestructive testing method for electric control room welding seam

Publications (1)

Publication Number Publication Date
CN116359342A true CN116359342A (en) 2023-06-30

Family

ID=86931683

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310346560.1A Pending CN116359342A (en) 2023-04-03 2023-04-03 Nondestructive testing method for electric control room welding seam

Country Status (1)

Country Link
CN (1) CN116359342A (en)

Similar Documents

Publication Publication Date Title
US4522064A (en) Ultrasonic method and apparatus for determining the depth of a crack in a solid material
CN101135673B (en) Method for the nondestructive material testing of highly pure polycrystalline silicon
EA021646B1 (en) Non-destructive testing, in particular for tubes during manufacturing and in the finished state
CN103808797B (en) A kind of method checking diffusion welding welding quality
JP2006284578A (en) Method and system for inspecting object using ultrasonic scan data
CN111751448B (en) Surface leakage wave ultrasonic synthetic aperture focusing imaging method
KR20150132441A (en) Device and method for non-destructive control of tubular products using electroacoustic phased networks, in particular on site
Kou et al. Noncontact testing and imaging of internal defects with a new Laser-ultrasonic SAFT method
CN108431592A (en) Equipment and its implementation for controlling and measuring the weld defect on cylindrical wall
RU2764607C1 (en) Method for non-destructive testing of cylindrical objects and automated complex for implementation thereof
Edwards et al. Ultrasonic detection of surface-breaking railhead defects
CN116359342A (en) Nondestructive testing method for electric control room welding seam
JP2010127618A (en) Automatic sphere inspection method and device for the same with ultrasonic flaw detection system
JP2010127621A (en) Automatic sphere inspection method and device for the same with ultrasonic flaw detection system
US9927404B2 (en) Phased array billet data evaluation software
CN104569155A (en) Electromagnetic ultrasonic detection method for surface defects
RU2621216C1 (en) Intra tube method of ultrasonic testing of welds
Jain et al. Development of Ultrasonic Imaging System for under-water inspection of Non-homogeneous Concrete Structures
CN113340242A (en) Surface roughness analysis system and method for analyzing surface roughness of workpiece
Zhai et al. An inspection device based on multiple Lamb wave electromagnetic acoustic transducers
Cheng et al. Study on Ultrasonic Phased Array Detection and Imaging Techniques for Oil Storage Tank Floor Covered With Sludge
Hesse et al. Defect detection in rails using ultrasonic surface waves
RU2179313C2 (en) Ultrasonic process of test of articles and materials
Delgadillo et al. Development of an inline water mains inspection tech nology
Rachev et al. Ultrasonic immersion testing for depth sizing of crack-like defects in large diameter pipes

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination