CN108333219A - A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process - Google Patents
A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process Download PDFInfo
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- CN108333219A CN108333219A CN201810227468.2A CN201810227468A CN108333219A CN 108333219 A CN108333219 A CN 108333219A CN 201810227468 A CN201810227468 A CN 201810227468A CN 108333219 A CN108333219 A CN 108333219A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/1702—Systems in which incident light is modified in accordance with the properties of the material investigated with opto-acoustic detection, e.g. for gases or analysing solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/1702—Systems in which incident light is modified in accordance with the properties of the material investigated with opto-acoustic detection, e.g. for gases or analysing solids
- G01N2021/1706—Systems in which incident light is modified in accordance with the properties of the material investigated with opto-acoustic detection, e.g. for gases or analysing solids in solids
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Abstract
The invention discloses a kind of online lossless detection methods for band large-scale metal component laser gain material manufacturing process.This method includes six-joint robot, six-joint robot switch board, probe clamping device, light source, thermal infrared imager, digital PLL, modulation signal generator, laser-ultrasound probe, laser-ultrasound excitation/receiving module, controller, computer.Minimum rectangle, which divides, to be realized to those suspected defects region during band large-scale metal component increasing material manufacturing with minimum area-encasing rectangle algorithm using locking phase infrared technique, laser-ultrasound is reused and scanning detection is carried out to the those suspected defects region divided.The advantages that technical characteristic of the present invention is to realize accurately identifying and positioning to increasing material manufacturing band large-scale metal component defect, has high degree of automation, and environmental suitability is strong, and detection efficiency is high.
Description
Technical field
Patent of the present invention belongs to field of non destructive testing, more particularly to a kind of to be manufactured for band large-scale metal component laser gain material
The online lossless detection method of journey.
Background technology
Increases material manufacturing technology is also referred to as 3D printing, and different from tradition " subtracting material manufacture ", increasing material manufacturing is in the fabrication process
The data for receiving CAD model are carried out the manufacture of three-dimensional structure by the superposition of material in layer, solve complicated fine zero
The design and manufacture problem of part.The manufacture of band large-scale metal component laser gain material is applied in the manufacture of avigation piece, in domestic made passenger plane,
Such as manufacture central wing edge strip component, up to 3070mm.
But since band large-scale metal component is in laser gain material manufacture, it is constantly in cycling hot impact conditions so that in component
There is residual thermal stress in portion, and since the temperature gradient in molten bath is big, the shrinkage stress being also easy to produce so that component generates cracking, gas
The surface defects such as hole, buckling deformation have seriously affected the quality of large-scale increasing material manufacturing metal component.
In order to improve the quality of band large-scale metal component laser gain material manufacture, carries out and band large-scale metal component laser gain material is manufactured
Non-destructive testing is extremely important.Existing increasing material manufacturing detection, cannot timely detection means system all based on the offline inspection after manufacture
Quality during making.If publication No. is CN2016140927U, it is that the patent document on the 29th of September in 2016 is public to authorize date of publication
A kind of automatic testing equipment of 3D printer has been opened, has been controlled by the axis battle array of electric telescopic rod arrangement, the flexible of each telescopic rod
Detection platform, to adjust detection angles, but the equipment can only be detected molded workpiece, and and be not suitable with the processing of high temperature
Environment.In addition, application publication number is CN107402044A, data of publication of application is on November 28th, 2017, provides a kind of metal
The online nondestructive detection system of increasing material manufacturing component quality and method.Detection probe is carried by detecting vehicle, and on laser printhead
Installation probe realizes the non-destructive testing of different level, but this method installation is complicated, and is interfered to manufacturing process.Existing increasing material
Non-destructive testing technology is manufactured, putting aspect in the efficiency of automatization level and detection all has very big deficiency, and to defects detection
Rate of precision it is relatively low, do not adapt to the detection demand of band large-scale metal component.
Invention content
The object of the present invention is to provide a kind of online non-destructive testings for band large-scale metal component laser gain material manufacturing process
Method, it is real to those suspected defects region in band large-scale metal component manufacturing process with minimum area-encasing rectangle algorithm using locking phase infrared technique
Existing minimum rectangle divides, and reuses laser-ultrasound and carries out scanning detection to the those suspected defects region rectangle divided, greatly carries
The accuracy of high defects detection.
The technical solution adopted by the present invention：A kind of online lossless inspection for band large-scale metal component laser gain material manufacturing process
Survey method, including motion module：Six-joint robot, six-joint robot switch board, probe clamping device；Detection module：It is light source, red
Outer thermal imaging system, digital PLL, modulation signal generator, laser-ultrasound probe, laser-ultrasound excitation/receiving module；At information
Manage module：Controller, computer.
Equipped with laser-ultrasound probe, light source, thermal infrared imager on probe clamping device；Controller connects six-joint robot control
Cabinet and computer processed, and establish and communicate with the switch board of increasing material manufacturing.Before detection starts, pass through modulation signal generator pair
Intensive parameter is arranged in its light source, and thermal infrared imager connects digital PLL and modulation signal generator, laser-ultrasound probe connection
Laser-ultrasound excitation/receiving module.
Before increasing material manufacturing starts production, setting detection in the controller starts required metal component printing to be achieved
Number of plies n.After being provided with, increasing material manufacturing starts, and when reaching the default printing number of plies n of controller, printing suspends；Controller
Six-joint robot switch board, which will be issued a signal to, makes six-joint robot be moved to position to be detected, and precalculated position is detected when reaching
When, six-joint robot stops in precalculated position, and six-joint robot switch board is by feedback signal to controller；Controller receives
To after signal, at the same time, modulation signal generator controls light source to be changed by sinusoidal rule, and infrared heat is encouraged by digital PLL
As instrument detects the heat fluctuation amplitude of testee, and acquires several thermal images and carry out the reconstruct of thermal image signal, then
Judge the presence of defect.
The defect information that thermal infrared imager is obtained is transferred to the computer with signal processing algorithm, computer uses
Minimum area-encasing rectangle algorithm carries out minimum area boundary rectangle division to defect area, if wherein there are two pieces of each stroke of defect areas
It is less than given threshold d at a distance of D between the central point of the minimum area boundary rectangle divided, then its two pieces of defect areas is divided into again
The same minimum area boundary rectangle.After minimum area-encasing rectangle algorithm is completed to divide, controller is transmitted a signal to；Controller is then
Transmit a signal to six-joint robot switch board and laser-ultrasound excitation/receiving module so that excitation/receiving module exciting laser is super
Sonic probe；Six-joint robot switch board control simultaneously carries the six shaft machine hand of laser-ultrasound probe to band large-scale metal component defect
The minimum area boundary rectangle of region division carries out C and sweeps.
Excitation/receiving module is receiving the surface defect information preservation of band large-scale metal component to the storage mould of controller
Block.
After completing scanning, six-joint robot switch board transmits a signal to controller, and six-joint robot is completed detection, returned automatically
Go back to position to be measured；Controller then controls laser-ultrasound excitation/receiving module and stops excitation；Simultaneously, controller storage module
Defect information is sent to computer, and specific defect feature is shown on the mathematical model of band large-scale metal component, provides data
With reference to improve manufacturing process.
Description of the drawings
Fig. 1 is the detecting system schematic diagram of the present invention
Fig. 2 is detection method implementing procedure figure
Fig. 3 is that the minimum area-encasing rectangle algorithm of the present invention judges principle
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process, including
Motion module：Six-joint robot 2, six-joint robot switch board 1, probe clamping device 3；Detection module：Light source 5, infrared thermal imagery
Instrument 6, digital PLL 9, modulation signal generator 8, laser-ultrasound probe 4, laser-ultrasound excitation/receiving module 7；Information processing
Module:Controller 10, computer 11.
Step 1：Equipped with laser-ultrasound probe 4, light source 5, thermal infrared imager 6 on probe clamping device 3；Controller 10 connects
Six-joint robot switch board 1 and computer 11, and establish and communicate with the switch board of increasing material manufacturing.Before detection starts, pass through
Modulation signal generator 8 connects light source 5, and thermal infrared imager 6 connects digital PLL 9 and modulation signal generator 8.Laser-ultrasound
4 connection laser-ultrasound excitation of probe/receiving module 7.
Step 2：Before increasing material manufacturing starts production, it is 50000 that band large-scale metal component, which always prints the number of plies, in controller 11
The number of plies that middle setting detection starts required metal component printing to be achieved is 100.
Step 3：After being provided with, increasing material manufacturing equipment 7 starts, when reaching the 11 default printing number of plies 100 of controller；
Controller 11 will issue a signal to six-joint robot switch board 1 so that six-joint robot 2 starts to detect, when reaching detection pre-determined bit
When setting, six-joint robot 2 stops in precalculated position, and six-joint robot switch board 1 is by feedback signal to controller 11；Control
After device 11 receives signal, at the same time, modulation signal generator 10 controls light source 5 to be changed by sinusoidal rule, by digital servo-control
Device 9 encourages thermal infrared imager 6 to detect the heat fluctuation amplitude of testee, and acquires several thermal images and carry out thermal image
The reconstruct of signal, then judge the presence of defect.
Step 4：The defect information that thermal infrared imager 6 is obtained is transferred to computer 12, computer 12 uses most parcel
It encloses rectangle algorithm and minimum area external world rectangular partition is carried out to defect area, if wherein there are two pieces of defect areas respectively to divide most
At a distance of D≤10mm between the central point of small area boundary rectangle, then its two pieces of defect areas are divided into the same minimal face again
Product boundary rectangle.After minimum area-encasing rectangle algorithm is completed to divide, controller 10 is transmitted a signal to；Controller 10 then sends signal
To six-joint robot switch board 1 and laser-ultrasound excitation/receiving module 7 so that laser-ultrasound excitation/excitation of receiving module 8 swashs
Light ultrasonic probe 4；The control of six-joint robot switch board 1 simultaneously carries the six-joint robot 2 of laser excusing from death probe to band large-scale metal
The minimum area boundary rectangle that component defect area divides carries out C and sweeps.
Step 5：The surface defect information preservation that excitation/receiving module 7 receives band large-scale metal component is to controller 10
Storage module.
Step 6：After completing scanning, six-joint robot switch board 1 transmits a signal to controller 10, informs six-joint robot 2
Detection is completed；Controller 10 controls laser-ultrasound excitation/receiving module 7 and stops excitation；While 10 storage module of controller
Defect information is sent to computer 11, and specific defect feature is shown on the mathematical model of band large-scale metal component, provides number
According to reference, manufacturing process is improved.2 auto-returned of six shaft machine hand position to be detected, the manufacture of next stage start.
Step 7：Further, step 3- steps 6 are repeated, until detection is completed.
Claims (2)
1. a kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process, including motion module, inspection
Survey module and message processing module；It is characterized in that the motion module includes：Six-joint robot, six-joint robot switch board,
Probe clamping device；The detection module includes：Light source, thermal infrared imager, digital PLL, modulation signal generator, laser
Ultrasonic probe, laser-ultrasound excitation/receiving module；Message processing module includes:Controller, computer.
2. a kind of online non-destructive testing side for band large-scale metal component laser gain material manufacturing process as described in claim 1
Method, which is characterized in that the defect information that thermal infrared imager is obtained is transferred to the computer with signal processing algorithm, is calculated
Machine carries out minimum area boundary rectangle division with minimum area-encasing rectangle algorithm to defect area, if wherein there are two pieces of defect areas
It is less than given threshold d at a distance of D between the central point for the minimum area boundary rectangle that domain respectively divides, then again its two pieces of defect areas
It is divided into the same minimum area boundary rectangle；After the algorithm for solving polygon minimum area boundary rectangle is completed to divide, hair
The number of delivering letters arrives controller；Controller then transmits a signal to six shaft machine hand switch board and laser-ultrasound excitation/receiving module so that
Excitation/receiving module exciting laser ultrasonic probe；Six shaft machine hand switch board control simultaneously carries six axis of laser-ultrasound probe
Mechanical hand carries out C to the minimum area boundary rectangle that band large-scale metal component defect area divides and sweeps.
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| CN201810227468.2A CN108333219A (en) | 2018-03-19 | 2018-03-19 | A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process |
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| CN201810227468.2A CN108333219A (en) | 2018-03-19 | 2018-03-19 | A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109387568A (en) * | 2018-12-21 | 2019-02-26 | 西安增材制造国家研究院有限公司 | A kind of laser ultrasonic detection device and increasing material manufacturing, detection integrated equipment |
| CN111354009A (en) * | 2020-02-27 | 2020-06-30 | 西安交通大学 | Method for extracting shape of laser additive manufacturing molten pool |
| WO2020254738A1 (en) * | 2019-06-20 | 2020-12-24 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | System and method for controlled manufacturing |
| JP2023031192A (en) * | 2021-08-24 | 2023-03-08 | レーザー インスティチュート オブ シャンドン アカデミー オブ サイエンシス | Metal additive manufacture synchronous detection system and method based on laser ultrasound and galvo-scanner cooperation |
| CN116559196A (en) * | 2023-05-06 | 2023-08-08 | 哈尔滨工业大学 | Arc additive manufacturing defect detection system and method |
| CN117571712A (en) * | 2023-08-17 | 2024-02-20 | 哈尔滨工业大学 | Mixed laser-induced ultrasonic infrared multi-field imaging detection device and method for reusing multi-type cross-scale damage of spacecraft |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383004A (en) * | 2007-09-06 | 2009-03-11 | 上海遥薇实业有限公司 | Passenger target detecting method combining infrared and visible light images |
| JP2009222408A (en) * | 2008-03-13 | 2009-10-01 | Jfe Steel Corp | Ultrasonic flaw detection method, ultrasonic flaw detecting device, and production method for seam-welded pipe |
| CN101606058A (en) * | 2006-12-06 | 2009-12-16 | 洛克希德马丁公司 | Use the improved laser-ultrasound inspection of infrared thermal imagery method |
| CN101889194A (en) * | 2007-12-06 | 2010-11-17 | 洛克希德马丁公司 | Non-destructive inspection using laser- ultrasound and infrared thermography |
| CN102033081A (en) * | 2010-10-15 | 2011-04-27 | 哈尔滨工业大学 | Infrared lock-in thermal wave non-destructive detection method based on image sequence processing |
| CN102095755A (en) * | 2010-12-09 | 2011-06-15 | 重庆建工市政交通工程有限责任公司 | Nondestructive testing method of concrete structure |
| CN103676242A (en) * | 2013-12-23 | 2014-03-26 | 合肥京东方光电科技有限公司 | Color film substrate repairing method |
| CN105628739A (en) * | 2015-12-25 | 2016-06-01 | 黑龙江科技大学 | Robot laser infrared nondestructive testing device for large workpiece and flaw detection method |
| CN106018288A (en) * | 2016-06-17 | 2016-10-12 | 中国航空工业集团公司北京航空材料研究院 | Laser ultrasonic online nondestructive material-increase manufacturing part detection method |
| CN107102061A (en) * | 2017-05-17 | 2017-08-29 | 大连理工大学 | Metal material high energy beam increases and decreases the online laser ultrasonic detection combined machining method of material |
-
2018
- 2018-03-19 CN CN201810227468.2A patent/CN108333219A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101606058A (en) * | 2006-12-06 | 2009-12-16 | 洛克希德马丁公司 | Use the improved laser-ultrasound inspection of infrared thermal imagery method |
| CN101383004A (en) * | 2007-09-06 | 2009-03-11 | 上海遥薇实业有限公司 | Passenger target detecting method combining infrared and visible light images |
| CN101889194A (en) * | 2007-12-06 | 2010-11-17 | 洛克希德马丁公司 | Non-destructive inspection using laser- ultrasound and infrared thermography |
| JP2009222408A (en) * | 2008-03-13 | 2009-10-01 | Jfe Steel Corp | Ultrasonic flaw detection method, ultrasonic flaw detecting device, and production method for seam-welded pipe |
| CN102033081A (en) * | 2010-10-15 | 2011-04-27 | 哈尔滨工业大学 | Infrared lock-in thermal wave non-destructive detection method based on image sequence processing |
| CN102095755A (en) * | 2010-12-09 | 2011-06-15 | 重庆建工市政交通工程有限责任公司 | Nondestructive testing method of concrete structure |
| CN103676242A (en) * | 2013-12-23 | 2014-03-26 | 合肥京东方光电科技有限公司 | Color film substrate repairing method |
| CN105628739A (en) * | 2015-12-25 | 2016-06-01 | 黑龙江科技大学 | Robot laser infrared nondestructive testing device for large workpiece and flaw detection method |
| CN106018288A (en) * | 2016-06-17 | 2016-10-12 | 中国航空工业集团公司北京航空材料研究院 | Laser ultrasonic online nondestructive material-increase manufacturing part detection method |
| CN107102061A (en) * | 2017-05-17 | 2017-08-29 | 大连理工大学 | Metal material high energy beam increases and decreases the online laser ultrasonic detection combined machining method of material |
Non-Patent Citations (1)
| Title |
|---|
| 王亚丽: "基于红外热成像的太阳能板缺陷检测", 《中国优秀硕士学位论文全文数据库工程科技II辑》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109387568A (en) * | 2018-12-21 | 2019-02-26 | 西安增材制造国家研究院有限公司 | A kind of laser ultrasonic detection device and increasing material manufacturing, detection integrated equipment |
| WO2020254738A1 (en) * | 2019-06-20 | 2020-12-24 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | System and method for controlled manufacturing |
| FR3097463A1 (en) * | 2019-06-20 | 2020-12-25 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | CONTROLLED MANUFACTURING SYSTEM AND PROCESS |
| CN111354009A (en) * | 2020-02-27 | 2020-06-30 | 西安交通大学 | Method for extracting shape of laser additive manufacturing molten pool |
| JP2023031192A (en) * | 2021-08-24 | 2023-03-08 | レーザー インスティチュート オブ シャンドン アカデミー オブ サイエンシス | Metal additive manufacture synchronous detection system and method based on laser ultrasound and galvo-scanner cooperation |
| JP7317427B2 (en) | 2021-08-24 | 2023-07-31 | レーザー インスティチュート オブ シャンドン アカデミー オブ サイエンシス | Metal Additive Manufacturing Synchronous Detection System and Method by Cooperating with Laser Ultrasound and Galvo Scanner |
| CN116559196A (en) * | 2023-05-06 | 2023-08-08 | 哈尔滨工业大学 | Arc additive manufacturing defect detection system and method |
| CN116559196B (en) * | 2023-05-06 | 2024-03-12 | 哈尔滨工业大学 | Arc additive manufacturing defect detection system and method |
| CN117571712A (en) * | 2023-08-17 | 2024-02-20 | 哈尔滨工业大学 | Mixed laser-induced ultrasonic infrared multi-field imaging detection device and method for reusing multi-type cross-scale damage of spacecraft |
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