CN104930965B - Weld penetration detection method - Google Patents
Weld penetration detection method Download PDFInfo
- Publication number
- CN104930965B CN104930965B CN201510321538.7A CN201510321538A CN104930965B CN 104930965 B CN104930965 B CN 104930965B CN 201510321538 A CN201510321538 A CN 201510321538A CN 104930965 B CN104930965 B CN 104930965B
- Authority
- CN
- China
- Prior art keywords
- point
- magnetic
- data
- curve
- weld seam
- 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.)
- Active
Links
Landscapes
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
The present invention proposes a kind of weld penetration detection method, it pops one's head in by using magnetic field detection and carries out scanning along weld seam, to detect the magnetic induction intensity of commissure, and magnetic induction intensity is converted into by data signal by signal picker is sent to controller, controller passes through processing data, the fusion penetration of the position is calculated by the magnetic induction intensity for the diverse location for analyzing weld seam, so as to obtain the curve of the fusion penetration along each position of weld seam, and shown it in display screen, so as to quickly and simply obtain the fusion penetration of weld seam, detection efficiency is high, reliability is high.
Description
Technical field
It is especially a kind of weld penetration detection side for laser welding the present invention relates to weld seam detection technical field
Method.
Background technology
Laser welding be by the use of high-energy-density laser beam as thermal source a kind of high-efficiency and precision welding method.Laser Welding
It is one of importance of Materialbearbeitung mit Laserlicht technology application to connect, and due to its unique advantage, has been successfully applied to micro-, small-sized zero
In the precision welding of part.With the popularization of laser welding technology, the detection for weld penetration in laser welding also becomes one
Individual new research direction.Weld penetration also refers to nugget depth, and it refers between the most deep position of mother metal melting end and mother metal surface
Distance.This data provides important parameter for the rapid evaluation of follow-up welding quality,
The fusion penetration of detection laser welding is usually to use microtomy inside current laboratory, i.e., cut into slices in commissure, this
Sample can significantly observe weld penetration, but it is clear that this is a kind of detection method of damage type, when can only be as experiment
Checking using, and cannot function as industrial production when rapid evaluation use.The nugget of weld seam is detected without destroying weld seam
Depth is accomplished by using lossless detection method.In the prior art, the common method of Non-Destructive Testing has supersonic testing method, EDDY CURRENT
Method, ray detection method, Magnetic testing method, Liquid penetrant testing method.
Ultrasound detection is the information that is provided using the interaction of ultrasonic wave and object to realize.Sound wave can be in metal
It is middle to propagate.The weak point of this method is that ultrasonic wave is decayed quickly in atmosphere, and the propagation that typically have sound wave during detection is situated between
Matter, such as oil or water couplant, detection efficiency are relatively low.On the other hand, ultrasound detection is higher to the thickness requirement of examined workpiece, and
Laser welding technology is usually used in relatively thin workpiece welding, and ultrasound detection is not suitable for laser weld inspection yet from this respect
Survey.
Ray detection method is to utilize ionising radiation with the physical effect produced by Substance Interactions (such as radiation intensity
Change, scattering etc.) to detect the lossless detection method of inside workpiece discontinuous, structure or thickness etc..Ray detection method is mainly right
There is higher sensitivity in volume flaw flaw detection.It is influenceed larger for crackle by angle, therefore ray detection method is suitable for
Volumetric defects detection, without optimum plot size type defects detection.Due to laser weld narrower width, the defect typically often occurred
For lack of penetration homalographic type defect, therefore the feasibility that ray detection method is applied in laser weld detection is relatively low.
Detection method of eddy works by electromagnetic induction principle, so detection method of eddy can detect the surface defect of workpiece
With near surface flaw.The distinguishing feature of detection method of eddy is that conductive material is worked, and is not necessarily ferromagnetic material, but to iron
The effect of magnetic material is poor.Secondly, there is considerable influence on finish, flatness, border of workpiece surface to be visited etc. to vortex, because
Detection method of eddy is often used for the nonferromagnetic workpiece such as the copper pipe that shape is relatively regular, surface is brighter and cleaner and detected a flaw by this, can not be used for
Laser weld is detected.
Magnetic testing is to detect the leakage magnetic flux of fault location formation to detect a flaw, and it is only applicable to ferromagnetic material, only ferromagnetic
After material is magnetized, surface and near surface flaw could be in workpiece surface formation leakage magnetic fluxs.Simultaneously in Magnetic Flux Leakage Inspecting, magnetization is real
The prerequisite now detected, it decides that can measurand produce magnetic field signal that is measured and being resolved, while also shadow
Ring the architectural feature of the performance characteristic and measurement apparatus that detect signal.The mechanism of Magnetic Flux Leakage Inspecting determines the complexity of detection means
Property, also accordingly add the unreliability of detecting system.
Liquid penetrant testing be a kind of principle by capillarity based on inspection Surface-breaking defect lossless detection method.Often
For the detection of surface defect, and it is difficult the defect for detecting near surface.Therefore Liquid penetrant testing is not suitable for laser weld yet
Detection.
Therefore, it is badly in need of a kind of simple to operate, detection efficiency height, the high weld penetration detection method of reliability at present.
The content of the invention
The technical problems to be solved by the invention are to overcome the defect of prior art there is provided a kind of side simple to operate
Just, detection efficiency is high, the high weld penetration detection method of reliability.
In order to solve the above technical problems, the present invention proposes a kind of weld penetration detection method, it comprises the following steps：
(1) by the way that detector for magnetic field is along weld movement and detects magnetic induction intensity, detection direction is along weld seam longitudinal direction
The data of collection are drawn curve map by scanning, and the curve is magnetic anomaly curve, and the abscissa of curve is scanning distance, ordinate
For magnetic induction intensity, the data of each point are initial data in the magnetic anomaly curve；
(2) maximum and minimum point in the curve are obtained from magnetic anomaly curve, the coordinate value of these points is obtained, and
Arranged according to the order of abscissa from small to large；
(3) coordinate value of the intermediate point of adjacent extreme point two-by-two is sought, and is respectively chosen from first branch and the tail branch of initial data
One data value is as starting point and ending point, and according to the starting point and ending point and two-by-two centre between adjacent extreme point
Value is calculated with Spline Interpolation Method, and obtains data group, and the starting point is before all intermediate points, the terminating point
After all intermediate points；
(4) by the initial data and terminating point before the starting point in the data group obtained in step (3) and step (3)
Initial data afterwards is combined reconstruct, finally gives the array of data after a reconstruct, then the array of data is imaged
To filtered magnetic anomaly curve map；
(5) taken successively using the minimum point of weld seam original position as starting in the magnetic anomaly curve map for obtaining step (4)
Two adjacent extreme points, take the less extreme point of abscissa to do the first tangent line in the two adjacent extreme points, take horizontal seat
The larger extreme point of mark does the second tangent line, and the 3rd tangent line is done in the arbitrfary point on curve between 2 points, then by the 3rd tangent line
D is designated as with the abscissa of first point of intersection of tangents and the difference of the 3rd tangent line and the abscissa of second point of intersection of tangents, according to formula h=T-
2*d*k, obtains being the fusion penetration h at the point of the 3rd tangent line, and wherein T is the thickness of plate, and k is coefficient, and the thickness T of plate can be measured,
Coefficient k is measured in addition according to the difference of the magnetic conductivity of material, density and conductance；
(6) the fusion penetration h of different measuring points is respectively obtained according to the difference for the point for doing the 3rd tangent line, according to obtained fusion penetration h's
Data draw change curves of the fusion penetration h with scanning distance.
After the above method, scanning is carried out along weld seam by magnetic field detection probe, to detect the magnetic induction of commissure
Intensity, and magnetic induction intensity is converted into by data signal by signal picker is sent to controller, controller is by handling number
According to the fusion penetration of the position being calculated by analyzing the magnetic induction intensity of diverse location of weld seam, so as to obtaining along weld seam
The curve of the fusion penetration of each position, and it is shown in display screen, so as to quickly and simply obtain weld seam
Fusion penetration, detection efficiency is high, and reliability is high.
Magnetic anomaly curve in the step (1) is the magnetic induction intensity numerical value of each point according to the weld seam collected,
As the node of spline function, laser weld diverse location correspondence is drawn out using the spline interpolation function in Matlab softwares
Magnetic induction intensity curve.
The magnetic field intensity detection means is divided into three kinds, respectively the first magnetic field detection provided with a fluxgate sensor
Device, the second detector for magnetic field provided with two fluxgate sensors and the 3rd magnetic field provided with three fluxgate sensors
Detection means.
If using the first detector for magnetic field of a fluxgate sensor during collection, during scanning, by fluxgate sensor
Face weld seam and carry out scanning, and the data that the fluxgate sensor is detected regard valid data as, for making step (1)
In magnetic anomaly curve use.
If using the second detector for magnetic field of two fluxgate sensors during collection, two in the second detector for magnetic field
Direction of the individual fluxgate sensor along weld seam is arranged side by side carry out scanning, the data that two fluxgate sensors are detected according to
It is secondary to do differentiated value and regard valid data as, used for the magnetic anomaly curve in making step (1).
If using the 3rd detector for magnetic field of three fluxgate sensors during collection, three in the 3rd detector for magnetic field
Individual fluxgate sensor arranges that one of them faces weld seam in triangle, and the both sides that another two is located at weld seam carry out scanning, now
Point after the value that first two other fluxgate sensor is collected makes the difference, then and face the fluxgate sensor collection of weld seam
To value do difference, regard the value finally obtained as valid data, used for the magnetic anomaly curve in making step (1).
Detector for magnetic field is provided with three groups in the application, and the first magnetic field detection for only one of which fluxgate sensor is filled
Put, its advantage is the actual value reduction degree height to real-time magnetic induction intensity signal, has the disadvantage that interference signal is adopted to sensor
The useful signal influence of collection is larger；For there is the second detector for magnetic field of two fluxgate sensors, it is using two magnetic fluxs
It is placed side by side while scanning before and after door sensor, and enter in the signal that follow-up data processing section is collected to two sensors
Row difference processing, such benefit is can to filter interference signal, has the disadvantage the real-time for also destroying signal to a certain extent；
For there is the 3rd detector for magnetic field of three fluxgate sensors, it be by three sensors in triangle arrange scanning, wherein
One fluxgate sensor is responsible for gathering real-time magnetic induction intensity signal, and two other fluxgate sensor is responsible for gathering ring
Magnetic induction intensity signal in border, for filtering the interference signal in environment, though this method combines the advantage of first two mode,
But its real-time is good not as mode one, the ability for filtering interference signal on weld seam is also not so good as mode two.The application is using three kinds of spies
Head, can facilitate user to change probe according to the actual requirements, and signal picker is provided with three signal sampling channels, can be with
The opening and closing of selection signal acquisition channel according to demand.
Brief description of the drawings
Fig. 1 for the present invention the weld penetration detection means used structural representation；
Fig. 2 is the structure of the first detector for magnetic field and the schematic diagram of scanning；
Fig. 3 is the structure of the second detector for magnetic field and the schematic diagram of scanning；
Fig. 4 is the structure of the 3rd detector for magnetic field and the schematic diagram of scanning；
The magnetic anomaly curve map that Fig. 5 obtains for step (1) in embodiment；
Fig. 6 is the schematic diagram of extreme point in magnetic anomaly curve in embodiment；
Fig. 7 is to calculate the schematic diagram of obtained median and starting point and ending point in middle magnetic anomaly curve；
Fig. 8 is the curve map obtained after spline interpolation in step (3)；
Fig. 9 is the curve map after the middle reconstruct of step (4)；
Figure 10 is tangent line schematic diagram；
Figure 11 is obtained fusion penetration curve synoptic diagram.
As shown in the figure：1st, detector for magnetic field, 2, signal picker, 3, controller.
Embodiment
The present invention is further detailed explanation with reference to the accompanying drawings and detailed description：
As Figure 1-Figure 11, weld penetration detection means of the present invention includes：
Detector for magnetic field 1, for detecting the magnetic strength induction signal inside weld seam；
Signal picker 2, is connected with detector for magnetic field by signal wire, for the magnetic for detecting detector for magnetic field
The analog quantity of induction signal is converted into digital quantity and sends controller to；
Controller 3 with display screen, for being connected with signal picker, the signal that signal picker is collected is changed
Into picture signal and show.
The invention provides a kind of weld penetration detection method, it comprises the following steps：
(1) by the way that detector for magnetic field is along weld movement and detects magnetic induction intensity, detection direction is along weld seam longitudinal direction
The data of collection are drawn curve map by scanning, and the curve is magnetic anomaly curve, and the abscissa of curve is scanning distance, ordinate
For magnetic induction intensity, the data of each point are initial data in the magnetic anomaly curve；
The detector for magnetic field is divided into three kinds, respectively the first magnetic field detection dress provided with a fluxgate sensor
Put, the second detector for magnetic field provided with two fluxgate sensors and the 3rd magnetic field inspection provided with three fluxgate sensors
Survey device.
Shown in Fig. 2：If using the first detector for magnetic field of a fluxgate sensor during collection, during scanning, by magnetic flux
Door sensor faces weld seam and carries out scanning, and the data that the fluxgate sensor is detected regard valid data as, for system
The magnetic anomaly curve made in step (1) is used.
Shown in Fig. 3：If using the second detector for magnetic field of two fluxgate sensors during collection, the second magnetic field detection dress
Carry out scanning is arranged side by side in direction of two fluxgate sensors along weld seam in putting, and two fluxgate sensors are detected
Data take turns doing differentiated value and regard valid data as, used for the magnetic anomaly curve in making step (1).
Shown in Fig. 4：If using the 3rd detector for magnetic field of three fluxgate sensors during collection, the 3rd magnetic field detection dress
Three fluxgate sensors in putting arrange that one of them faces weld seam in triangle, and the both sides that another two is located at weld seam are carried out
Scanning, point after the value for now first collecting two other fluxgate sensor makes the difference, then and faces the fluxgate of weld seam
The value that sensor is collected does difference, regards the value finally obtained as valid data, for the magnetic anomaly curve in making step (1)
Use.
Magnetic anomaly curve in the step (1) is the magnetic induction intensity numerical value of each point according to the weld seam collected,
As the node of spline function, laser weld diverse location correspondence is drawn out using the spline interpolation function in Matlab softwares
Magnetic induction intensity curve.Fig. 5 is that abscissa is scanning in the magnetic anomaly curve map obtained after scanning in one embodiment, figure
Distance, ordinate is magnetic induction intensity.There are the magnetic induction intensity that the part collapsed is defective part in Laser Welding, laser in figure
If the detection of the defect part in weldering is not filtered out, then the numerical value for finally calculating obtained fusion penetration is then inaccurate, therefore need
Filter out defect part.
(2) maximum and minimum point in the curve are obtained from magnetic anomaly curve, the coordinate value of these points is obtained,
And arranged according to the order of abscissa from small to large；As shown in fig. 6, in figure, (A, B, C, D, E, F, G) this 7 points are
Extreme point, casts out due to belonging to unwelded region at A points, therefore by A points, then just obtain (B, C, D, E, F, G) this 6 points
Coordinate value.
(3) coordinate value of the median of adjacent extreme point two-by-two is sought, and is respectively chosen from first branch and the tail branch of initial data
One data value is as starting point and ending point, and according to the starting point and ending point and two-by-two median fortune of adjacent extreme point
Calculated with Spline Interpolation Method, and obtain data group；As shown in Figure 7：B points are 2 points of B, C intermediate point, and c points are C, D two
The intermediate point of point, d is 2 points of D, E intermediate point, and e is 2 points of E, F intermediate point, and f is 2 points of F, G intermediate point, tries to achieve these
The coordinate value of intermediate point, and two data values are chosen as starting point and ending point from initial data, select B in the present embodiment
A points before point be g points after starting point, selection G points as terminating point, then according to (a, b, c, d, e, f, g) this 7 points
Data group is obtained with Spline Interpolation Method and curve is obtained, as shown in Figure 8.
(4) by the initial data and terminating point before the starting point in the data group obtained in step (3) and step (3)
Initial data afterwards is combined reconstruct, finally gives the array of data after a reconstruct, then the array of data is imaged
To filtered magnetic anomaly curve map；I.e. by after the initial data and g points before the data group in step (3) and a points
Initial data is combined, and the array of data imaging of portfolio restructuring then is obtained into filtered magnetic anomaly curve map；Such as Fig. 9 institutes
Show.
(5) taken successively using the minimum point of weld seam original position as starting in the magnetic anomaly curve map for obtaining step (4)
Two adjacent extreme points, take the less extreme point of abscissa to do the first tangent line in the two adjacent extreme points, take horizontal seat
The larger extreme point of mark does the second tangent line, and the 3rd tangent line is done in the arbitrfary point on curve between 2 points, then by the 3rd tangent line
D is designated as with the abscissa of first point of intersection of tangents and the difference of the 3rd tangent line and the abscissa of second point of intersection of tangents, according to formula h=T-
2*d*k, obtains being the fusion penetration h at the point of the 3rd tangent line, and wherein T is the thickness of plate, and k is coefficient, and the thickness T of plate can be measured,
Coefficient k is measured in addition according to the difference of the magnetic conductivity of material, density and conductance；In the present embodiment, the k values are 1/
20。
If for example, to calculate every between the minimum point of weld seam original position and first maximum i.e. B points
During the fusion penetration h of individual point, then the first tangent line is done with the point of the minimum of weld seam original position, the second tangent line is done with B points, and at 2 points
Between any point do the 3rd tangent line, by the 3rd tangent line and the abscissa and the 3rd tangent line and the second tangent line of first point of intersection of tangents
The difference of the abscissa of intersection point is designated as d1, then the fusion penetration h=T-2*d1*k of the point.Weld seam original position so be can be obtained by
The fusion penetration h of arbitrfary point between one maximum.
If calculate the fusion penetration h of the arbitrfary point in first maximum point and Fig. 8 between next minimum point,
First tangent line is done with first maximum point, the second tangent line is done with next minimum point point, and between two points any one
Point does the 3rd tangent line, by the 3rd tangent line and the abscissa and the 3rd tangent line and the abscissa of second point of intersection of tangents of first point of intersection of tangents
Difference be designated as d2, then the fusion penetration h=T-2*d2*k of the point.
The like.The fusion penetration h each put in magnetic anomaly curve in Fig. 8 can be obtained.In actually drawing, it is not necessary to examine
Survey fusion penetration h a little, it is only necessary to be sampled.
(6) the fusion penetration h of different measuring points is respectively obtained according to the difference for the point for doing the 3rd tangent line, according to obtained fusion penetration h's
Data draw change curves of the fusion penetration h with scanning distance.
After the above method, scanning is carried out along weld seam by magnetic field detection probe, to detect the magnetic induction of commissure
Intensity, and magnetic induction intensity is converted into by data signal by signal picker is sent to controller, controller is by handling number
According to the fusion penetration of the position being calculated by analyzing the magnetic induction intensity of diverse location of weld seam, so as to obtaining along weld seam
The curve of the fusion penetration of each position, and it is shown in display screen, so as to quickly and simply obtain weld seam
Fusion penetration, detection efficiency is high, and reliability is high.
Detector for magnetic field is provided with three groups in the application, and the first magnetic field detection for only one of which fluxgate sensor is filled
Put, its advantage is the actual value reduction degree height to real-time magnetic induction intensity signal, has the disadvantage that interference signal is adopted to sensor
The useful signal influence of collection is larger；For there is the second detector for magnetic field of two fluxgate sensors, it is using two magnetic fluxs
It is placed side by side while scanning before and after door sensor, and enter in the signal that follow-up data processing section is collected to two sensors
Row difference processing, such benefit is can to filter interference signal, has the disadvantage the real-time for also destroying signal to a certain extent；
For there is the 3rd detector for magnetic field of three fluxgate sensors, it be by three sensors in triangle arrange scanning, wherein
One fluxgate sensor is responsible for gathering real-time magnetic induction intensity signal, and two other fluxgate sensor is responsible for gathering ring
Magnetic induction intensity signal in border, for filtering the interference signal in environment, though this method combines the advantage of first two mode,
But its real-time is good not as mode one, the ability for filtering interference signal on weld seam is also not so good as mode two.The application is using three kinds of spies
Head, can facilitate user to change probe according to the actual requirements, and signal picker is provided with three signal sampling channels, can be with
The opening and closing of selection signal acquisition channel according to demand.
It was found from from above-mentioned statement, the present invention is not intended to limit the type and structure of detector for magnetic field, but all applications are originally
Method then all should be within the application protection domain come obtain weld penetration.
Claims (6)
1. a kind of weld penetration detection method, it is characterised in that it comprises the following steps：
(1), by the way that detector for magnetic field is along weld movement and detects magnetic induction intensity, detection direction is longitudinally to be swept along weld seam
Look into, the data of collection are drawn into curve map, be magnetic anomaly curve by the curve definitions, the abscissa of curve is scanning distance, is indulged
Coordinate is magnetic induction intensity, and the data of each point are initial data in the magnetic anomaly curve；
(2) maximum and minimum point in the curve, are obtained from magnetic anomaly curve, the coordinate value of these points is obtained, and
Arranged according to the order of abscissa from small to large；
(3) coordinate value of the intermediate point of adjacent extreme point two-by-two, and each selection one from first branch and the tail branch of initial data, are asked
Numerical value as starting point and ending point, and according to starting point and ending point and two-by-two, use by the median between adjacent extreme point
Spline Interpolation Method is calculated, and obtains data group, and the starting point is before all intermediate points, and the terminating point is all
After intermediate point；
(4), by the initial data and terminating point before the starting point in the data group and step (3) that are obtained in step (3) it
Initial data afterwards is combined reconstruct, finally gives the array of data after a reconstruct, then array of data imaging is obtained
Filtered magnetic anomaly curve map；
(5), two are taken successively using the minimum point of weld seam original position as starting in the magnetic anomaly curve map for obtaining step (4)
Individual adjacent extreme point, takes the less extreme point of abscissa to do the first tangent line in the two adjacent extreme points, takes abscissa
Larger extreme point does the second tangent line, and the 3rd tangent line is done in the arbitrfary point on curve between 2 points, then by the 3rd tangent line with
The difference of the abscissa of first point of intersection of tangents and the 3rd tangent line and the abscissa of second point of intersection of tangents is designated as d, according to formula h=T-2*
D*k, obtains being the fusion penetration h at the point of the 3rd tangent line, and wherein T is the thickness of plate, and k is coefficient, and the thickness T of plate can be measured, and be
Number k is measured in addition according to the difference of the magnetic conductivity of material, density and conductance；
(6) the fusion penetration h of different measuring points, is respectively obtained according to the difference for the point for doing the 3rd tangent line, according to obtained fusion penetration h data
Draw change curves of the fusion penetration h with scanning distance.
2. weld penetration detection method according to claim 1, it is characterised in that：Magnetic anomaly in the step (1) is bent
Line is the magnetic induction intensity numerical value of each point according to the weld seam collected, soft using Matlab as the node of spline function
Spline interpolation function in part draws out the curve of the corresponding magnetic induction intensity of laser weld diverse location.
3. weld penetration detection method according to claim 1, it is characterised in that：The detector for magnetic field is divided into three
Plant, respectively the first detector for magnetic field provided with a fluxgate sensor, the second magnetic provided with two fluxgate sensors
Field detection means and the 3rd detector for magnetic field provided with three fluxgate sensors.
4. weld penetration detection method according to claim 3, it is characterised in that：If being passed during collection using a fluxgate
First detector for magnetic field of sensor, during scanning, faces weld seam by fluxgate sensor and carries out scanning, and the fluxgate is passed
The data that sensor is detected regard valid data as, are used for the magnetic anomaly curve in making step (1).
5. weld penetration detection method according to claim 3, it is characterised in that：If being passed during collection using two fluxgates
Direction of two fluxgate sensors along weld seam in second detector for magnetic field of sensor, the second detector for magnetic field is side by side
Set and carry out scanning, the data that two fluxgate sensors are detected take turns doing differentiated value and regard valid data as, for system
The magnetic anomaly curve made in step (1) is used.
6. weld penetration detection method according to claim 3, it is characterised in that：If being passed during collection using three fluxgates
Three fluxgate sensors in 3rd detector for magnetic field of sensor, the 3rd detector for magnetic field are arranged in triangle, wherein one
Individual to face weld seam, the both sides that another two is located at weld seam carry out scanning, now first adopt two other described fluxgate sensor
Point after the value collected makes the difference, then and face the value that the fluxgate sensor of weld seam collects and do difference, by what is finally obtained
Value regards valid data as, is used for the magnetic anomaly curve in making step (1).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510321538.7A CN104930965B (en) | 2015-06-12 | 2015-06-12 | Weld penetration detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510321538.7A CN104930965B (en) | 2015-06-12 | 2015-06-12 | Weld penetration detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104930965A CN104930965A (en) | 2015-09-23 |
| CN104930965B true CN104930965B (en) | 2017-09-12 |
Family
ID=54118243
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510321538.7A Active CN104930965B (en) | 2015-06-12 | 2015-06-12 | Weld penetration detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104930965B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106643465B (en) * | 2016-12-28 | 2019-01-29 | 宁波市鄞州磁泰电子科技有限公司 | A kind of weld penetration detection method |
| CN112304202B (en) * | 2020-05-20 | 2022-09-23 | 上海达铭科技有限公司 | Laser spot welding nugget geometric parameter measuring device and using method thereof |
| CN113884566B (en) * | 2020-07-01 | 2024-04-30 | 中国石油天然气股份有限公司 | Positioning method for pipeline welding seam |
| CN112197693B (en) * | 2020-08-31 | 2022-06-03 | 上海达铭科技有限公司 | Detection device and method for spot welding nugget form |
| CN112935568A (en) * | 2021-02-04 | 2021-06-11 | 大族激光科技产业集团股份有限公司 | Application of infrared laser on vaccine bottle sealing hole |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012068061A (en) * | 2010-09-21 | 2012-04-05 | Chugoku Electric Power Co Inc:The | Nondestructive inspection apparatus and nondestructive inspection method |
| CN103063737A (en) * | 2012-12-28 | 2013-04-24 | 中国石油集团川庆钻探工程有限公司 | Coiled tubing magnetic detection method |
| CN103512483A (en) * | 2012-06-30 | 2014-01-15 | 中国石油化工股份有限公司 | Overhead pipe wall thickness corrosion scanning and detecting system |
| CN104297336A (en) * | 2014-10-22 | 2015-01-21 | 中国地质大学（武汉） | Buried-steel-pipeline-based magnetic anomaly extraction and interpretation method |
-
2015
- 2015-06-12 CN CN201510321538.7A patent/CN104930965B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012068061A (en) * | 2010-09-21 | 2012-04-05 | Chugoku Electric Power Co Inc:The | Nondestructive inspection apparatus and nondestructive inspection method |
| JP5138014B2 (en) * | 2010-09-21 | 2013-02-06 | 中国電力株式会社 | Nondestructive inspection equipment, nondestructive inspection method |
| CN103512483A (en) * | 2012-06-30 | 2014-01-15 | 中国石油化工股份有限公司 | Overhead pipe wall thickness corrosion scanning and detecting system |
| CN103063737A (en) * | 2012-12-28 | 2013-04-24 | 中国石油集团川庆钻探工程有限公司 | Coiled tubing magnetic detection method |
| CN104297336A (en) * | 2014-10-22 | 2015-01-21 | 中国地质大学（武汉） | Buried-steel-pipeline-based magnetic anomaly extraction and interpretation method |
Non-Patent Citations (1)
| Title |
|---|
| 廖城.连续油管在线检测***的研制.《全国学位论文全文库》.2015, * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104930965A (en) | 2015-09-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104930965B (en) | Weld penetration detection method | |
| CN110146521B (en) | Pipeline surface corrosion defect detection method and device based on microwave nondestructive detection | |
| US20160349215A1 (en) | Non-destructive evaluation of additive manufacturing components using an eddy current array system and method | |
| CN110702783A (en) | Array eddy current method for detecting thermal fatigue cracks of water-cooled wall tube | |
| CN104655658A (en) | Large-sized high-temperature blade internal defect three-dimensional nondestructive detection method | |
| CN104345092A (en) | Scanning type laser ultrasonic detection method and system | |
| JP7440986B2 (en) | Object defect detection method and system based on detection electric field | |
| US6532820B1 (en) | Combined ultrasonic techniques for evaluations (CUTE) | |
| Bulavinov et al. | Industrial application of real-time 3D imaging by sampling phased array | |
| CN105044211A (en) | TRL phased array probe-based defect 3D visualization ultrasonic testing flow | |
| AU650049B2 (en) | Eddy current imaging system | |
| JP2010530526A (en) | Nondestructive detection method and apparatus for rotational movement of sample, and test unit | |
| Xiao et al. | Fusion model of inductive thermography and ultrasound for nondestructive testing | |
| Joubert et al. | Experimental validation of an eddy current probe dedicated to the multi-frequency imaging of bore holes | |
| Schumacher et al. | Defect recognition in CFRP components using various NDT methods within a smart manufacturing process | |
| CN117871658A (en) | Weld joint detection device and method based on magnetic image sensor | |
| CN112415088A (en) | Inner-through transverse pulse eddy current detection probe and use method thereof | |
| CN204757918U (en) | Weld penetration detection device | |
| Zainal Abidin | Modelling and experimental investigation of eddy current distribution for angular defect characterisation | |
| CN109358111A (en) | A kind of BOSS welding-seam phased array supersonic detection method based on curved surface shoulder coupling device | |
| Zhu et al. | Ultrasonic testing system design for defect visualization of inhomogeneous multi-layered pipes | |
| Ye et al. | Weld defect inspection based on machine vision and weak magnetic technology | |
| Peng et al. | Detection of brazing defects in stainless steel core plate using the first peak value of pulsed eddy current testing signals | |
| CN206788055U (en) | A kind of dual sensor weld seam nondestructive detection system | |
| Mook et al. | Low frequency eddy current arrays with video clock |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |