CN111716052A - Welding-following rapid detection method for internal defects in welding process - Google Patents
Welding-following rapid detection method for internal defects in welding process Download PDFInfo
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- CN111716052A CN111716052A CN202010563441.8A CN202010563441A CN111716052A CN 111716052 A CN111716052 A CN 111716052A CN 202010563441 A CN202010563441 A CN 202010563441A CN 111716052 A CN111716052 A CN 111716052A
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- 238000003466 welding Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000007547 defect Effects 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 title claims abstract description 15
- 230000005855 radiation Effects 0.000 claims abstract description 5
- 238000005259 measurement Methods 0.000 claims description 3
- 230000035515 penetration Effects 0.000 claims description 3
- 230000008439 repair process Effects 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 2
- 230000008092 positive effect Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
- B23K37/02—Carriages for supporting the welding or cutting element
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
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- Optics & Photonics (AREA)
- Engineering & Computer Science (AREA)
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- Radiation Pyrometers (AREA)
Abstract
The invention provides a method for rapidly detecting internal defects in a welding process along with welding. The welding gun is arranged on the welding seam, the welding gun is connected with a heat sensor, a Hall sensor is arranged in the welding gun, the Hall sensor is in signal connection with the data processing computer, and a thermal signal obtained from the heat sensor is converted by a signal converter and then is input into the data processing computer; the heat radiation of the welding seam obtained from the welding seam is input to a signal collector through a temperature sensor, and the collected signal is transmitted to a signal converter through the signal collector and then transmitted to a data processing computer. And completing the weld joint detection through the welding process. The method realizes the defect detection in the real-time online welding process, can accurately judge the position of the defect, furthest ensures the quality of the welding line, reduces the repair times of the welding joint, and reduces the difficulty of the defect removal and repair process. The method is suitable for being used as a welding-following rapid detection method for internal defects in the welding process.
Description
Technical Field
The invention provides a welding-following rapid detection method for internal defects in a welding process, belonging to the field of welding technology and nondestructive detection.
Background
With the upgrading and upgrading of industrial products, more and more product structures are developed towards the direction of large thickness. The welding of the large thick plate is carried out according to the conventional groove welding, the use amount of welding materials is large, and defects are easy to occur. At present, narrow gap or narrow groove welding is the development direction of large thick plate welding. However, once welding defects occur in the narrow gap or narrow groove welding process, the repair amount is huge, and meanwhile, due to the fact that the groove is narrow and deep in the area to be repaired, great difficulty is brought to quality guarantee of the repair process. Has become one of the bottleneck problems restricting narrow groove and narrow gap welding.
Disclosure of Invention
In order to quickly detect the welding-following state, the invention provides a quick detection method for internal defects in the welding process. The method judges the welding defects through welding temperature image display, and solves the technical problem of welding defect detection.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the welding gun is arranged on the welding seam, the welding gun is connected with a heat sensor, a Hall sensor is arranged in the welding gun, the Hall sensor is in signal connection with the data processing computer, and a thermal signal obtained from the heat sensor is converted by a signal converter and then is input into the data processing computer;
the heat radiation of the welding seam obtained from the welding seam is input to a signal collector through a temperature sensor, and the collected signal is transmitted to a signal converter through the signal collector and then transmitted to a data processing computer.
1) Firstly, accurately calibrating the position between a welding gun and a sensor, and calibrating the distance between a welding wire and a heat sensor by 15mm according to the size of a molten pool;
2) the measuring temperature interval is 500-1300 ℃;
3) in order to ensure that the recorded position is the welding starting position, recording is started when the welding current is detected to change by 20A;
4) after detecting arcing current, the sensors start to work, each sensor converts detected temperature analog signals into digital signals, and the digital signals are converted into color images representing different temperatures after being processed by software;
5) the penetration condition of the welding seam can be accurately reflected along with the change of the brightness on the image.
The temperature sensor is arranged between 10mm and 20mm behind the molten pool;
the distance between the temperature sensors is 1mm, 20 sensors are transversely distributed, the detection interval is 45mm wide, and the measurement precision is +/-5 ℃.
The positive effects are as follows: the method realizes the defect detection of the real-time online welding process, effectively solves the problem that the welding defect cannot be detected in real time in the multi-layer and multi-channel welding process, can accurately judge the position of the defect, furthest ensures the quality of the welding seam, reduces the repair frequency of the welding joint, and reduces the difficulty of the defect removal and repair process. The method is suitable for being used as a welding-following rapid detection method for internal defects in the welding process.
Drawings
FIG. 1 is a structural layout diagram of the present invention;
FIG. 2 is a temperature sensing path diagram of the present invention.
1. The welding gun, 2, a heat sensor, 3, a welding seam, 4, welding seam heat radiation, 5, a temperature sensor, 6, a signal collector, 7, a signal converter, 8, a data processing computer and 9, a Hall sensor.
Detailed Description
The welding gun 1 is arranged on the welding seam 3, the welding gun is connected with a heat sensor 2, a Hall sensor 9 is arranged in the welding gun, the Hall sensor is in signal connection with a data processing computer 8, and a thermal signal obtained from the heat sensor is converted by a signal converter 7 and then is input into the data processing computer;
the heat radiation 4 of the welding seam obtained from the welding seam is input to a signal collector 6 through a temperature sensor 5, and the collected signal is transmitted to a signal converter through the signal collector and then transmitted to a data processing computer.
Firstly, accurately calibrating the position between a welding gun and a sensor, and calibrating the distance between a welding wire and a heat sensor by 15mm according to the size of a molten pool;
2) the measuring temperature interval is 500-1300 ℃;
3) in order to ensure that the recorded position is the welding starting position, recording is started when the welding current is detected to change by 20A;
4) after detecting arcing current, the sensors start to work, each sensor converts detected temperature analog signals into digital signals, and the digital signals are converted into color images representing different temperatures after being processed by software;
5) the penetration condition of the welding seam can be accurately reflected along with the change of the brightness on the image.
The temperature sensor is arranged between 10mm and 20mm behind the molten pool;
the distance between the temperature sensors is 1mm, 20 sensors are transversely distributed, the detection interval is 45mm wide, and the measurement precision is +/-5 ℃.
Claims (4)
1. A welding-following rapid detection method for internal defects in a welding process is characterized by comprising the following steps:
the welding gun (1) is arranged on the welding seam (3), the welding gun is connected with the heat sensor (2), the welding gun is internally provided with a Hall sensor (9), the Hall sensor is in signal connection with the data processing computer (8), and a heat signal obtained from the heat sensor is converted by the signal converter (7) and then is input into the data processing computer;
the welding seam heat radiation (4) obtained from the welding seam is input to a signal collector (6) through a temperature sensor (5), and the collected signal is transmitted to a signal converter through the signal collector and then transmitted to a data processing computer;
1) firstly, accurately calibrating the position between a welding gun and a sensor, and calibrating the distance between a welding wire and a heat sensor by 15mm according to the size of a molten pool;
2) the measuring temperature interval is 500-1300 ℃;
3) in order to ensure that the recorded position is the welding starting position, recording is started when the welding current is detected to change by 20A;
4) after detecting arcing current, the sensors start to work, each sensor converts detected temperature analog signals into digital signals, and the digital signals are converted into color images representing different temperatures after being processed by software;
5) the penetration condition of the welding seam can be accurately reflected along with the change of the brightness on the image.
2. The method for rapidly detecting the internal defect during the welding process along with the welding as claimed in claim 1, wherein the temperature sensor is arranged between 10mm and 20mm behind the molten pool.
3. The method as claimed in claim 1, wherein the recording is started when a 20A change in welding current is detected.
4. The method for rapidly detecting the internal defects of the welding process along with the welding as claimed in claim 1, wherein the distance between the temperature sensors is 1mm, 20 sensors are transversely distributed, the detection interval is 45mm wide, and the measurement precision is +/-5 ℃.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010563441.8A CN111716052A (en) | 2020-06-19 | 2020-06-19 | Welding-following rapid detection method for internal defects in welding process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010563441.8A CN111716052A (en) | 2020-06-19 | 2020-06-19 | Welding-following rapid detection method for internal defects in welding process |
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| Publication Number | Publication Date |
|---|---|
| CN111716052A true CN111716052A (en) | 2020-09-29 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010563441.8A Pending CN111716052A (en) | 2020-06-19 | 2020-06-19 | Welding-following rapid detection method for internal defects in welding process |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6368268A (en) * | 1986-09-08 | 1988-03-28 | Babcock Hitachi Kk | Inspection method for welding defect |
| CN103862136A (en) * | 2014-03-14 | 2014-06-18 | 吉林大学 | Monitoring device and monitoring method of fusion-welding process |
| CN104977305A (en) * | 2015-06-29 | 2015-10-14 | 华中科技大学 | Welding quality analysis device based on infrared vision and analysis method thereof |
| CN105945444A (en) * | 2016-06-29 | 2016-09-21 | 中车青岛四方机车车辆股份有限公司 | Real-time monitoring method and system for incomplete welding |
| CN106624337A (en) * | 2016-11-25 | 2017-05-10 | 广西大学 | Static shaft shoulder stirring friction weld capable of measuring welding temperature in real time |
| CN109447403A (en) * | 2018-09-20 | 2019-03-08 | 中国核工业二三建设有限公司 | A kind of welding defect analysis system and method based on big data |
| CN213196246U (en) * | 2020-06-19 | 2021-05-14 | 渤海造船厂集团有限公司 | Welding process defect is along with welding synchronous detection device |
-
2020
- 2020-06-19 CN CN202010563441.8A patent/CN111716052A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6368268A (en) * | 1986-09-08 | 1988-03-28 | Babcock Hitachi Kk | Inspection method for welding defect |
| CN103862136A (en) * | 2014-03-14 | 2014-06-18 | 吉林大学 | Monitoring device and monitoring method of fusion-welding process |
| CN104977305A (en) * | 2015-06-29 | 2015-10-14 | 华中科技大学 | Welding quality analysis device based on infrared vision and analysis method thereof |
| CN105945444A (en) * | 2016-06-29 | 2016-09-21 | 中车青岛四方机车车辆股份有限公司 | Real-time monitoring method and system for incomplete welding |
| CN106624337A (en) * | 2016-11-25 | 2017-05-10 | 广西大学 | Static shaft shoulder stirring friction weld capable of measuring welding temperature in real time |
| CN109447403A (en) * | 2018-09-20 | 2019-03-08 | 中国核工业二三建设有限公司 | A kind of welding defect analysis system and method based on big data |
| CN213196246U (en) * | 2020-06-19 | 2021-05-14 | 渤海造船厂集团有限公司 | Welding process defect is along with welding synchronous detection device |
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