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 PDF

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Publication number
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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China
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laser
metal component
scale metal
material manufacturing
band large
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CN201810227468.2A
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Inventor
胡宏伟
何绪晖
王向红
张健
毛聪
易可夫
沈晓炜
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Changsha University of Science and Technology
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Changsha University of Science and Technology
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Priority to CN201810227468.2A priority Critical patent/CN108333219A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00Investigating or analyzing materials by the use of thermal means
    • G01N25/72Investigating presence of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/1702Systems 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/1702Systems 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
    • G01N2021/1706Systems 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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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)

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

A kind of online non-destructive testing for band large-scale metal component laser gain material manufacturing process Method
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.
CN201810227468.2A 2018-03-19 2018-03-19 A kind of online lossless detection method for band large-scale metal component laser gain material manufacturing process Pending CN108333219A (en)

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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
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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
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