CN107389792A - A kind of laser imaging system and its method of aluminum alloy surface defects detection - Google Patents
A kind of laser imaging system and its method of aluminum alloy surface defects detection Download PDFInfo
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- CN107389792A CN107389792A CN201710537816.1A CN201710537816A CN107389792A CN 107389792 A CN107389792 A CN 107389792A CN 201710537816 A CN201710537816 A CN 201710537816A CN 107389792 A CN107389792 A CN 107389792A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating 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
- G01N29/04—Analysing solids
- G01N29/041—Analysing solids on the surface of the material, e.g. using Lamb, Rayleigh or shear waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0234—Metals, e.g. steel
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/04—Wave modes and trajectories
- G01N2291/042—Wave modes
- G01N2291/0423—Surface waves, e.g. Rayleigh waves, Love waves
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Abstract
A kind of laser imaging system and its method of aluminum alloy surface defects detection, the system includes pulse laser, the pulse laser connects controller and galvanometer scanning system respectively, galvanometer scanning system lower end is provided with laser scanning region, laser scanning surface region side is provided with Lamb wave sensor, the Lamb wave sensor connects signal conditioning circuit, signal conditioning circuit connects A/D capture cards, A/D capture cards connect controller and host computer Labview software systems respectively, and the controller is also connected with host computer Labview software systems and galvanometer scanning system respectively.The present invention can be realized quickly to be detected to aluminum alloy materials defect imaging, has the characteristics that accuracy of detection is high, detection speed is fast, quantitative NDT.
Description
Technical field
The present invention relates to a kind of laser imaging system and its method of aluminum alloy surface defects detection, particularly one kind is based on
The laser Lamb wave of Hartley conversion is used for the imaging system and its method of aluminum alloy surface defects detection.
Background technology
Surface of aluminum plate quality is the important indicator of aluminium sheet quality of materials, directly influences the quality and property of alloy product
Energy.In the process of aluminium sheet, due to the influence of many factors such as raw material, equipment and technique, surface of aluminum plate is frequently resulted in
There is the defects of some micro-cracks, stomata, scratch.These defects directly influence the anticorrosive and fatigue strength of alloy product
Etc. performance.How fast mass detection, the production for alloy product to be carried out to these aluminum alloy materials in process of production
It is of great significance.
The method of aluminum alloy surface defects detection has at present:Ultrasound, magnetic, vortex, infiltration etc..But these methods are present
Accuracy of detection is low, detection speed is slow, quantitative detection can not be carried out to defect.Laser Ultrasonic Technique as it is a kind of by laser technology and
The detection technique that ultrasonic technique is combined, the characteristics of not only combining conventional ultrasound technology, and can realize and measured material
Non-contact detecting, fast scan imaging, there is higher resolution ratio.
The content of the invention
Its purpose of the invention, which is that, provides a kind of laser imaging system and its method of aluminum alloy surface defects detection, solves
The problem of accuracy of detection is low, detection speed is slow, can not carry out quantifying detection to defect be present in prior art of having determined.
Adopt the technical scheme that to achieve the above object,
A kind of laser imaging system of aluminum alloy surface defects detection, including pulse laser, the pulse laser connect respectively
Controller and galvanometer scanning system are connect, galvanometer scanning system lower end is provided with laser scanning region, and laser scanning surface region side is provided with
Lamb wave sensor, the output end connection signal conditioning circuit of the Lamb wave sensor, the output end of signal conditioning circuit connect
A/D capture cards are connect, the output end of A/D capture cards connects controller and host computer Labview software systems, the control respectively
Device is also connected with host computer Labview software systems.
A kind of imaging method of the laser imaging system of aluminum alloy surface defects detection, comprises the following steps:
(1)By host computer Labview software systems input system initiation parameters, the system initialization parameter includes Lamb
Ripple sample frequency, sampling time, after bandpass filter, start button is clicked on, laser Lamb wave detecting system is started working;
(2)Controller control pulse laser produces pulse laser beam, and laser beam injects film aluminum product by galvanometer scanning system
Expect surface, film aluminum product material absorbs laser energy, and due to the effect of laser thermoelastic effect, Lamb is produced on film aluminum product material surface
Ripple signal;
(3)Lamb wave signal is propagated in film aluminum product material, and Lamb wave produces scattered wave signal after running into defect, in laser scanning
The Lamb wave sensor of the opposite side installation in region receives laser caused Lamb wave signal and scattered wave in film aluminum product material
Signal;
(4)Lamb wave sensor by the Lamb wave signal of reception and scattered wave signal by signal conditioning circuit and A/D capture cards,
Machine Labview software collections are generalized, and are preserved with .lvm files;
(5)Laser Lamb wave detecting system is completed after being detected to the two-dimensional scan of film aluminum product material, and host computer Labview softwares are read
The Lamb wave signal and scattered wave signal in .lvm files are taken, and Hartley changes are carried out to Lamb wave signal and scattered wave signal
Change, the formula of Hartley conversion is, wherein f (t) is Lamb wave signal;
(6)Host computer Labview software systems read the Lamb wave signal and scattered wave signal of Hartley conversion, are converted
Lamb wave afterwards propagates image, realizes the shapes and sizes detection to film aluminum product material defect.
Beneficial effect
The present invention has advantages below compared with prior art.
1. breach the shortcomings that conventional laser ultrasonic non-destructive inspection techniques can not carry out quantitative detection to film aluminum product material;
2. the laser Lamb wave imaging technique, it can obtain Lamb wave automatically according to the Lamb wave signal received and propagate image,
Automatically the surface to film aluminum product material and internal flaw progress image conversion quantitatively detect;
3. this method is not influenceed by blind area, suitable for film aluminum product material surface, it is internal the defects of, it is not only simple to operate, repeat
Good and independent of testing staff the technical merit of property.
Brief description of the drawings
Below in conjunction with accompanying drawing, the invention will be further described.
Fig. 1 is laser imaging system theory structure schematic diagram of the present invention;
Fig. 2 is the Lamb wave waveform signal schematic diagram that laser Lamb wave detecting system detects;
Fig. 3 is the vibrational waveform schematic diagram that the Lamb wave that laser Lamb wave detecting system detects is propagated;
Fig. 4 is that the Lamb wave that laser Lamb wave detecting system detects propagates image schematic diagram;
Fig. 5 is propagation image schematic diagram of the Lamb wave that detects of laser Lamb wave detecting system after Hartley is converted.
Embodiment
A kind of laser imaging system of aluminum alloy surface defects detection, including pulse laser 1, as shown in figure 1, the arteries and veins
Rush laser 1 and connect controller 7 and galvanometer scanning system 2 respectively, the lower end of galvanometer scanning system 2 is provided with laser scanning region 3, swashs
The side of light surface sweeping region 3 is provided with Lamb wave sensor 4, and the output end of the Lamb wave sensor 4 connects signal conditioning circuit 5,
The output end connection A/D capture cards 6 of signal conditioning circuit 5, the output ends of A/D capture cards 6 connect controller 7 and upper respectively
Position machine Labview software systems 8, the controller 7 is also connected with host computer Labview software systems 8.
The scanning visual angle that the galvanometer scanning system 2 rotates small mirror in X, Y direction is ± 25 °, and maximum scan frequency is reachable
3kHz。
The A/D capture cards 6 use high-speed figure A/D capture cards.
The pulse laser 1 is Nd:YAG laser.
A kind of imaging method of the laser imaging system of aluminum alloy surface defects detection, as shown in Figure 3-Figure 5, including it is following
Step:
(1)By host computer Labview software systems input system initiation parameters, the system initialization parameter includes Lamb
Ripple sample frequency, sampling time, after bandpass filter, start button is clicked on, laser Lamb wave detecting system is started working;
(2)Controller control pulse laser produces pulse laser beam, and laser beam injects film aluminum product by galvanometer scanning system
Expect surface, film aluminum product material absorbs laser energy, and due to the effect of laser thermoelastic effect, Lamb is produced on film aluminum product material surface
Ripple signal;
(3)Lamb wave signal is propagated in film aluminum product material, and Lamb wave produces scattered wave signal after running into defect, in laser scanning
The Lamb wave sensor of the opposite side installation in region receives laser caused Lamb wave signal and scattered wave in film aluminum product material
Signal;
(4)Lamb wave sensor by the Lamb wave signal of reception and scattered wave signal by signal conditioning circuit and A/D capture cards,
Machine Labview software collections are generalized, and are preserved with .lvm files;
(5)Laser Lamb wave detecting system is completed after being detected to the two-dimensional scan of film aluminum product material, and host computer Labview softwares are read
The Lamb wave signal and scattered wave signal in .lvm files are taken, and Hartley changes are carried out to Lamb wave signal and scattered wave signal
Change, the formula of Hartley conversion is, wherein f (t) is Lamb wave signal;
(6)Host computer Labview software systems read the Lamb wave signal and scattered wave signal of Hartley conversion, are converted
Lamb wave afterwards propagates image, realizes the shapes and sizes detection to film aluminum product material defect.
The Lamb wave signal includes surface acoustic wave caused by laser, compressional wave and shear wave signal.
The shape that two-dimensional scan detection is carried out to film aluminum product material can be arbitrary, and two-dimensional scan step-length is 0.1mm-
2mm。
Embodiment
The once experiment carried out using method of the present invention and its system is described in detail below:
1. choose film aluminum product material, specification is 1000mm × 1000mm × 3mm, have in its film aluminum product material a 1mm × 4mm ×
0.5mm groove surfaces defect.
2. after input system initiation parameter (Lamb wave sample frequency, sampling time, bandpass filter), click start by
Button, laser Lamb wave detecting system are started working, and controller control pulse laser produces pulse laser beam, and laser beam is by shaking
Scarnning mirror system, film aluminum product material surface is injected, Lamb wave signal, laser Lamb wave detection system are produced on film aluminum product material surface
System is completed to detect the two-dimensional scan of film aluminum product material.
3.Lamb wave sensors gather the Lamb wave signal of reception and scattered wave signal by signal conditioning circuit and A/D
Card, machine Labview software collections are generalized, Fig. 2 is Lamb wave waveform signal, and Lamb wave signal is preserved with .lvm files.
4. host computer Labview softwares read the Lamb wave signal and scattered wave signal in .lvm files, and to Lamb wave
Signal and scattered wave signal carry out Hartley conversion, and host computer Labview softwares read the Lamb wave signal of Hartley conversion
And scattered wave signal, the Lamb wave after being converted propagate image, the shapes and sizes detection to film aluminum product material defect is realized.
Lamb wave propagates image and takes the form of color to present, and can carry out size and shape detection to film aluminum product material,
Laboratory test results are shown in Fig. 5.
Claims (7)
1. a kind of laser imaging system of aluminum alloy surface defects detection, including pulse laser (1), it is characterised in that described
Pulse laser (1) connects controller (7) and galvanometer scanning system (2) respectively, and galvanometer scanning system (2) lower end is swept provided with laser
Region (3) is retouched, laser scanning surface region (3) side is provided with Lamb wave sensor (4), the output end of the Lamb wave sensor (4)
Signal conditioning circuit (5) is connected, the output end of signal conditioning circuit (5) connects A/D capture cards (6), A/D capture cards (6)
Output end connects controller (7) and host computer Labview software systems (8) respectively, and the controller (7) is gone back and host computer
Labview software systems (8) connect.
2. the laser imaging system of a kind of aluminum alloy surface defects detection according to claim 1, it is characterised in that described
The scanning visual angle that galvanometer scanning system (2) rotates small mirror in X, Y direction is ± 25 °, and maximum scan frequency is up to 3kHz.
3. the laser imaging system of a kind of aluminum alloy surface defects detection according to claim 1, it is characterised in that described
A/D capture cards (6) use high-speed figure A/D capture cards.
4. the laser imaging system of a kind of aluminum alloy surface defects detection according to claim 1, it is characterised in that described
Pulse laser (1) is Nd:YAG laser.
5. a kind of imaging method of the laser imaging system of aluminum alloy surface defects detection according to claim 1, it is special
Sign is, comprises the following steps:
(1)By host computer Labview software systems input system initiation parameters, the system initialization parameter includes Lamb
Ripple sample frequency, sampling time, after bandpass filter, start button is clicked on, laser Lamb wave detecting system is started working;
(2)Controller control pulse laser produces pulse laser beam, and laser beam injects film aluminum product by galvanometer scanning system
Expect surface, film aluminum product material absorbs laser energy, and due to the effect of laser thermoelastic effect, Lamb is produced on film aluminum product material surface
Ripple signal;
(3)Lamb wave signal is propagated in film aluminum product material, and Lamb wave produces scattered wave signal after running into defect, in laser scanning
The Lamb wave sensor of the opposite side installation in region receives laser caused Lamb wave signal and scattered wave in film aluminum product material
Signal;
The Lamb wave signal of reception and scattered wave signal are passed through signal conditioning circuit and A/D capture cards, quilt by Lamb wave sensor
Host computer Labview software collections, and preserved with .lvm files;
Laser Lamb wave detecting system is completed after being detected to the two-dimensional scan of film aluminum product material, and host computer Labview softwares are read
.lvm the Lamb wave signal and scattered wave signal in file, and Hartley conversion is carried out to Lamb wave signal and scattered wave signal,
Hartley conversion formula be, wherein f (t) is Lamb wave signal;
(6)Host computer Labview software systems read the Lamb wave signal and scattered wave signal of Hartley conversion, are converted
Lamb wave afterwards propagates image, realizes the shapes and sizes detection to film aluminum product material defect.
6. a kind of imaging method of the laser imaging system of aluminum alloy surface defects detection according to claim 5, it is special
Sign is that the Lamb wave signal includes surface acoustic wave caused by laser, compressional wave and shear wave signal.
7. a kind of imaging method of the laser imaging system of aluminum alloy surface defects detection according to claim 5, it is special
Sign is that the shape that two-dimensional scan detection is carried out to film aluminum product material can be arbitrary, and two-dimensional scan step-length is 0.1mm-
2mm。
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110779927A (en) * | 2019-11-12 | 2020-02-11 | 浙江大学 | Subsurface defect detection device and method based on ultrasonic modulation |
CN113607652A (en) * | 2021-08-11 | 2021-11-05 | 电子科技大学 | Workpiece superficial layered imaging method based on photoacoustic spectrum |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104634741A (en) * | 2014-10-22 | 2015-05-20 | 南京航空航天大学 | Laser ultrasonic detection method and laser ultrasonic detection system for rapidly locating defects |
CN105527345A (en) * | 2016-01-15 | 2016-04-27 | 北京工业大学 | Defect positioning method for condensed laser sensor array based Lamb corrugated plate structure |
CN106908451A (en) * | 2017-03-05 | 2017-06-30 | 北京工业大学 | Metal plate defect localization method based on laser Lamb wave frequency wavenumber analysis |
-
2017
- 2017-07-04 CN CN201710537816.1A patent/CN107389792A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104634741A (en) * | 2014-10-22 | 2015-05-20 | 南京航空航天大学 | Laser ultrasonic detection method and laser ultrasonic detection system for rapidly locating defects |
CN105527345A (en) * | 2016-01-15 | 2016-04-27 | 北京工业大学 | Defect positioning method for condensed laser sensor array based Lamb corrugated plate structure |
CN106908451A (en) * | 2017-03-05 | 2017-06-30 | 北京工业大学 | Metal plate defect localization method based on laser Lamb wave frequency wavenumber analysis |
Non-Patent Citations (2)
Title |
---|
JOS ARRILLAGA NEVILLE R.WATSON著: "《电力系统谐波(第二版)》", 30 November 2008, 中国电力出版社 * |
胡广书编著: "《数字信号处理-理论、算法与实现》", 31 August 1997, 清华大学出版社 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110779927A (en) * | 2019-11-12 | 2020-02-11 | 浙江大学 | Subsurface defect detection device and method based on ultrasonic modulation |
CN113607652A (en) * | 2021-08-11 | 2021-11-05 | 电子科技大学 | Workpiece superficial layered imaging method based on photoacoustic spectrum |
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