CN105842062A - Real-time crack propagation monitoring device and real-time crack propagation monitoring method - Google Patents

Real-time crack propagation monitoring device and real-time crack propagation monitoring method Download PDF

Info

Publication number
CN105842062A
CN105842062A CN201610388143.3A CN201610388143A CN105842062A CN 105842062 A CN105842062 A CN 105842062A CN 201610388143 A CN201610388143 A CN 201610388143A CN 105842062 A CN105842062 A CN 105842062A
Authority
CN
China
Prior art keywords
ccd camera
test specimen
test
computer
real
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.)
Pending
Application number
CN201610388143.3A
Other languages
Chinese (zh)
Inventor
秦利军
李朝光
杜兴刚
王红飞
彭志军
朱亲强
汤庆辉
朱翔
王学强
吕万韬
王震
姜亚娟
余凌晶
胡博海
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangxi Hongdu Aviation Industry Group Co Ltd
Original Assignee
Jiangxi Hongdu Aviation Industry Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Jiangxi Hongdu Aviation Industry Group Co Ltd filed Critical Jiangxi Hongdu Aviation Industry Group Co Ltd
Priority to CN201610388143.3A priority Critical patent/CN105842062A/en
Publication of CN105842062A publication Critical patent/CN105842062A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/02Details
    • G01N3/06Special adaptations of indicating or recording means
    • G01N3/068Special adaptations of indicating or recording means with optical indicating or recording means

Landscapes

  • 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 Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention provides a real-time crack propagation monitoring device and a real-time crack propagation monitoring method. The real-time crack propagation monitoring device comprises a loading device, a white light source, a fixed-focus telecentric lens, a CCD (charge coupled device) camera, a CCD camera adjustment support and a computer. A specimen is placed on the loading device, the fixed-focus telecentric lens is mounted at the front end of the CCD camera, the CCD camera is fixed to the CCD camera adjustment support and connected with the computer through a data cable, the white light source is fixed in front of and above the fixed-focus telecentric lens, and an image acquisition system and DIC (digital image correlation) software are installed on the computer. According to a digital image correlation method, correlation coefficients of two speckle images before and after crack propagation are calculated to determine crack propagation areas according to the correlation coefficients, high crack measurement precision is realized, microcracks difficult for manual visual recognition can be effectively recognized, and accuracy and reliability of test results are improved.

Description

A kind of Crack Extension real-time monitoring device and method
Technical field
The invention belongs to crack monitoring technical field, be specifically related to a kind of Crack Extension real-time monitoring device for damage tolerance test and method.
Background technology
Along with the deep application in aeroplane structure design and evaluation of the damage tolerance technology, damage tolerance test technology more and more higher by attention degree.In the aircraft development stage, for obtaining material and the crack expansion characteristic of structure, generally require and carry out substantial amounts of damage tolerance test.In process of the test, while need to carrying test specimen being applied repeatability spectrum, monitoring and measuring propagation direction and the length of crackle, and the accurate of crack extending length measures the important prerequisite being to obtain the performance parameters such as crack propagation rate.
At present, damage tolerance test is many by scale or the means of prefabricated scale, uses the method for artificial range estimation that the Crack Extension situation of test specimen is carried out periodic monitoring.Although artificial visual method technical sophistication degree is low, be easily achieved, but the method subjectivity is big, precision and efficiency low, and be difficult to the real-time monitoring of Crack Extension.
Summary of the invention
To be solved by this invention is existing crackle monitoring device precision and inefficient technical problem, it is provided that a kind of Crack Extension real-time monitoring device based on loading by means of digital image correlation method (DIC) and method.
In order to solve the technical problem of the present invention, the present invention is achieved by the following technical solutions: a kind of Crack Extension real-time monitoring device, including charger 1, white light source 3, focus telecentric lens 4, CCD camera 5, CCD camera regulation support 6 and computer 7, test specimen 2 is laid on described charger 1, the described telecentric lens 4 that focuses is arranged on described CCD camera 5 front end, described CCD camera 5 is fixed on described CCD camera regulation support 6, and described CCD camera 5 is connected with computer 7 by data wire;Described white light source 3 focuses the front upper place of telecentric lens 4 described in being fixed on.Preferably, described computer 7 is provided with image capturing system relevant with digital picture (DIC) software.
The monitoring method of a kind of Crack Extension real-time monitoring device, comprises the following steps:
Step one: make chequered with black and white random speckle pattern on test specimen 2 surface.
Step 2: in testing ground, arranges crack monitoring system.
Step 3: open image capturing system, and debug, adjusts CCD camera 5 angle, it is ensured that focus telecentric lens 4 axis vertical with test specimen 2 surface;Adjust CCD camera 5 and test specimen 2 distance, it is ensured that test specimen 2 surface regional imaging to be measured is clear and image is in depth of field centre position;Adjust position and the brightness of white light source 3, it is ensured that test specimen 2 surface uniform light, light and shade are moderate.
Step 4: before on-test, uses CCD camera 5 shoot surface of test piece region to be measured speckle image and preserve to computer 7, and prestore in described computer 7 correlation coefficient threshold.
Step 5: in process of the test, by arranging the speckle image on periodically automatic shooting test specimen 2 surface, IMAQ interval and preserving to computer 7, need to guarantee during IMAQ that test specimen 2 is in extended state, i.e. crackle is in open configuration.
Step 6: use the speckle image of the shooting front with test of the speckle image of shooting in loading by means of digital image correlation method comparative analysis process of the test, searched for by whole pixel matching, calculate the standardization covariance coefficient correlation of region to be measured various location, filtering out the coefficient correlation region less than threshold value, this region is Crack Extension region.
Step 7: according to camera lens multiplication factor, CCD chip size and image resolution ratio, set up the proportionate relationship between pixel value and physical size, changes the physical size to test specimen 2 by the pixel dimension of crack extending length.
Preferably, the threshold value of described step 4 neutralization procedure six is 0.5 ~ 0.8, and threshold size suitably can adjust according to the quality of speckle image.
Compared with prior art, the present invention obtains and provides the benefit that:
A kind of Crack Extension real-time monitoring device disclosed by the invention and method, can realize crackle and monitor in real time, and crack length need not when measuring suspend testing equipment, improves test efficiency, saves test period;The coefficient correlation of two width speckle images before and after loading by means of digital image correlation method On Crack Propagation is utilized to calculate, the region that Crack Extension occurs is differentiated by the size of coefficient correlation, crackle certainty of measurement is high, the impalpable micro-crack of artificial range estimation be can effectively identify, accuracy and the reliability of result of the test improved.
A kind of Crack Extension real-time monitoring device disclosed by the invention and method, it is applicable to the measurement of crack extending length and propagation direction, belong to damage tolerance (Crack Extension) test category, it is not required to solve displacement field and strain field, reduce computation complexity, improving image processing speed, to meet the needs of monitoring in real time, the stool and urine according only to coefficient correlation can differentiate that crackle occurs position, measures crack extending length.
Accompanying drawing explanation
Fig. 1 is Crack Extension real-time monitoring device schematic diagram.
Reference: 1, charger;2, test specimen;3, white light source;4, telecentric lens is focused;5, CCD camera;6, CCD camera regulation support;7, computer.
Specific embodiments
Below in conjunction with the accompanying drawings, embodiment is described in detail.
See accompanying drawing 1, a kind of Crack Extension real-time monitoring device, including charger 1, white light source 3, focus telecentric lens 4, CCD camera 5, CCD camera regulation support 6 and computer 7, test specimen 2 is laid on described charger 1, the described telecentric lens 4 that focuses is arranged on described CCD camera 5 front end, described CCD camera 5 is fixed on described CCD camera regulation support 6, and described CCD camera 5 is connected with computer 7 by data wire;Described white light source 3 focuses the front upper place of telecentric lens 4 described in being fixed on;Described computer 7 is provided with image capturing system relevant with digital picture (DIC) software.
A kind of Crack Extension real-time monitoring device based on loading by means of digital image correlation method, it is characterized in utilizing the coefficient correlation of two width speckle images before and after loading by means of digital image correlation method On Crack Propagation to calculate, and then is differentiated the region (path) that Crack Extension occurs by the size of coefficient correlation.
It is side crops industry that the spectrum applied due to usual damage tolerance test carries relative to structural limits load, and most of region of test specimen belongs to small deformation category, and the coefficient correlation in this region is higher.And slit region exists bigger relative displacement, before and after Crack Extension, speckle image differs greatly, and coefficient correlation the most drastically declines.Therefore, use coefficient correlation based on DIC method to carry out monitoring crack extension and there is higher reliability and sensitivity.
The monitoring method of a kind of Crack Extension real-time monitoring device, comprises the following steps:
Step one: make chequered with black and white random speckle pattern on test specimen 2 surface.
Step 2: in testing ground, arranges crack monitoring system.
Step 3: open image capturing system, and debug, adjusts CCD camera 5 angle, it is ensured that focus telecentric lens 4 axis vertical with test specimen 2 surface;Adjust CCD camera 5 and test specimen 2 distance, it is ensured that test specimen 2 surface regional imaging to be measured is clear and image is in depth of field centre position;Adjust position and the brightness of white light source 3, it is ensured that test specimen 2 surface uniform light, light and shade are moderate.
Step 4: before on-test, uses CCD camera 5 shoot surface of test piece region to be measured speckle image and preserve to computer 7, and prestore in described computer 7 correlation coefficient threshold.
Step 5: in process of the test, by arranging the speckle image on periodically automatic shooting test specimen 2 surface, IMAQ interval and preserving to computer 7, need to guarantee during IMAQ that test specimen 2 is in extended state, i.e. crackle is in open configuration.
Step 6: use the speckle image of the shooting front with test of the speckle image of shooting in loading by means of digital image correlation method comparative analysis process of the test, searched for by whole pixel matching, calculate the standardization covariance coefficient correlation of region to be measured various location, filtering out the coefficient correlation region less than threshold value, this region is Crack Extension region.
Step 7: according to camera lens multiplication factor, CCD chip size and image resolution ratio, set up the proportionate relationship between pixel value and physical size, changes the physical size to test specimen 2 by the pixel dimension of crack extending length.
Further, the threshold value of described step 4 neutralization procedure six is 0.5 ~ 0.8, and threshold size suitably can adjust according to the quality of speckle image.
Can realize crackle by said apparatus and method to monitor in real time, crack length need not when measuring suspend testing equipment, improves test efficiency, saves test period;The coefficient correlation of two width speckle images before and after loading by means of digital image correlation method On Crack Propagation is utilized to calculate, the region that Crack Extension occurs is differentiated by the size of coefficient correlation, crackle certainty of measurement is high, the impalpable micro-crack of artificial range estimation be can effectively identify, accuracy and the reliability of result of the test improved.
A kind of Crack Extension real-time monitoring device and method, it is applicable to the measurement of crack extending length and propagation direction, belong to damage tolerance (Crack Extension) test category, it is not required to solve displacement field and strain field, reduce computation complexity, improving image processing speed, to meet the needs of monitoring in real time, the stool and urine according only to coefficient correlation can differentiate that crackle occurs position, measures crack extending length.
Listed above is only one of specific embodiment of the present invention.It is clear that the invention is not restricted to above example, it is also possible to there are many similar reshapings.All deformation that those of ordinary skill in the art can directly derive from present disclosure or associate, are all considered as invention which is intended to be protected.

Claims (3)

1. a Crack Extension real-time monitoring device, it is characterized in that: include charger (1), white light source (3), focus telecentric lens (4), CCD camera (5), CCD camera regulation support (6) and computer (7), test specimen (2) is laid on described charger (1), the described telecentric lens (4) that focuses is arranged on described CCD camera (5) front end, described CCD camera (5) is fixed in described CCD camera regulation support (6), and described CCD camera (5) is connected with computer (7) by data wire;Described white light source (3) focuses the front upper place of telecentric lens (4) described in being fixed on, and described computer (7) is provided with image capturing system and digital picture related software.
The monitoring method of a kind of Crack Extension real-time monitoring device the most as claimed in claim 1, it is characterised in that: comprise the following steps:
Step one: make chequered with black and white random speckle pattern on test specimen (2) surface;
Step 2: in testing ground, arranges crack monitoring system;
Step 3: open image capturing system, and debug, adjusts CCD camera (5) angle, it is ensured that focus telecentric lens (4) axis vertical with test specimen (2) surface;Adjust CCD camera (5) and test specimen (2) distance, it is ensured that test specimen (2) surface regional imaging to be measured is clear and image is in depth of field centre position;Adjust position and the brightness of white light source (3), it is ensured that test specimen (2) surface uniform light, light and shade are moderate;
Step 4: before on-test, uses CCD camera (5) shooting surface of test piece region to be measured speckle image and preserves to computer (7), and prestore in described computer (7) correlation coefficient threshold;
Step 5: in process of the test, periodically automatically snaps the speckle image on test specimen (2) surface by arranging IMAQ interval and preserves to computer (7), need to guarantee that test specimen (2) is in extended state during IMAQ;
Step 6: use the speckle image of the shooting front with test of the speckle image of shooting in loading by means of digital image correlation method comparative analysis process of the test, searched for by whole pixel matching, calculate the standardization covariance coefficient correlation of region to be measured various location, filtering out the coefficient correlation region less than threshold value, this region is Crack Extension region;
Step 7: according to camera lens multiplication factor, CCD chip size and image resolution ratio, set up the proportionate relationship between pixel value and physical size, changes the physical size to test specimen (2) by the pixel dimension of crack extending length.
The monitoring method of a kind of Crack Extension real-time monitoring device the most as claimed in claim 2, it is characterised in that: the threshold value of described step 4 neutralization procedure six is 0.5 ~ 0.8.
CN201610388143.3A 2016-06-02 2016-06-02 Real-time crack propagation monitoring device and real-time crack propagation monitoring method Pending CN105842062A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610388143.3A CN105842062A (en) 2016-06-02 2016-06-02 Real-time crack propagation monitoring device and real-time crack propagation monitoring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610388143.3A CN105842062A (en) 2016-06-02 2016-06-02 Real-time crack propagation monitoring device and real-time crack propagation monitoring method

Publications (1)

Publication Number Publication Date
CN105842062A true CN105842062A (en) 2016-08-10

Family

ID=56595790

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610388143.3A Pending CN105842062A (en) 2016-06-02 2016-06-02 Real-time crack propagation monitoring device and real-time crack propagation monitoring method

Country Status (1)

Country Link
CN (1) CN105842062A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107741368A (en) * 2017-10-10 2018-02-27 湖南大学 One kind is used for three-dimensional structure propagation of internal cracks test system
CN108320284A (en) * 2018-02-06 2018-07-24 重庆交通大学 To the detection method and device of concrete filled steel tube interface state
CN109060824A (en) * 2018-08-10 2018-12-21 广东工业大学 Strain-pulse based on DIC technology responds covariance damnification recognition method
CN109060819A (en) * 2018-07-06 2018-12-21 中国飞机强度研究所 Error correcting method in visual field in a kind of measurement of vibration component crackle
CN109269893A (en) * 2018-11-20 2019-01-25 西南交通大学 A kind of material stress corrosion test macro and its test method based on image recognition
CN109490263A (en) * 2018-11-01 2019-03-19 河海大学 A kind of crack propagation piece and its application method for the measurement of steel box-girder crackle
CN110108556A (en) * 2019-04-16 2019-08-09 中国人民解放军陆军装甲兵学院 A kind of method and system of prediction brittle coating cracking
CN110155369A (en) * 2019-05-29 2019-08-23 中国民航大学 A kind of aircraft skin face crack inspection method
CN110987765A (en) * 2019-09-07 2020-04-10 西安科技大学 Rock mass microscopic fracture testing method based on three-dimensional digital speckle
CN111595890A (en) * 2019-09-23 2020-08-28 哈尔滨理工大学 Real-time observation method for ceramic thermal shock cracks
CN113446932A (en) * 2021-05-18 2021-09-28 西北工业大学 Non-contact crack measuring method and system
CN113899746A (en) * 2021-09-30 2022-01-07 江苏纹动测控科技有限公司 DIC-based steel structure fatigue crack propagation form measuring method
CN114088515A (en) * 2021-11-02 2022-02-25 国家高速列车青岛技术创新中心 Monocular vision multi-view crack propagation monitoring device

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107741368A (en) * 2017-10-10 2018-02-27 湖南大学 One kind is used for three-dimensional structure propagation of internal cracks test system
CN108320284A (en) * 2018-02-06 2018-07-24 重庆交通大学 To the detection method and device of concrete filled steel tube interface state
CN109060819B (en) * 2018-07-06 2021-03-30 中国飞机强度研究所 Method for correcting errors in field of view in measurement of cracks of vibration component
CN109060819A (en) * 2018-07-06 2018-12-21 中国飞机强度研究所 Error correcting method in visual field in a kind of measurement of vibration component crackle
CN109060824A (en) * 2018-08-10 2018-12-21 广东工业大学 Strain-pulse based on DIC technology responds covariance damnification recognition method
CN109490263A (en) * 2018-11-01 2019-03-19 河海大学 A kind of crack propagation piece and its application method for the measurement of steel box-girder crackle
CN109269893A (en) * 2018-11-20 2019-01-25 西南交通大学 A kind of material stress corrosion test macro and its test method based on image recognition
CN110108556A (en) * 2019-04-16 2019-08-09 中国人民解放军陆军装甲兵学院 A kind of method and system of prediction brittle coating cracking
CN110155369A (en) * 2019-05-29 2019-08-23 中国民航大学 A kind of aircraft skin face crack inspection method
CN110155369B (en) * 2019-05-29 2022-05-17 中国民航大学 Method for checking surface cracks of aircraft skin
CN110987765A (en) * 2019-09-07 2020-04-10 西安科技大学 Rock mass microscopic fracture testing method based on three-dimensional digital speckle
CN110987765B (en) * 2019-09-07 2022-10-11 西安科技大学 Rock mass microscopic fracture testing method based on three-dimensional digital speckles
CN111595890A (en) * 2019-09-23 2020-08-28 哈尔滨理工大学 Real-time observation method for ceramic thermal shock cracks
CN113446932A (en) * 2021-05-18 2021-09-28 西北工业大学 Non-contact crack measuring method and system
CN113899746A (en) * 2021-09-30 2022-01-07 江苏纹动测控科技有限公司 DIC-based steel structure fatigue crack propagation form measuring method
CN114088515A (en) * 2021-11-02 2022-02-25 国家高速列车青岛技术创新中心 Monocular vision multi-view crack propagation monitoring device

Similar Documents

Publication Publication Date Title
CN105842062A (en) Real-time crack propagation monitoring device and real-time crack propagation monitoring method
CN108918539B (en) Apparent disease detection device and method for tunnel structure
CN102538672B (en) CMOS (complementary metal-oxide-semiconductor)-machine-vision-based component size measuring system and measurement test method
CN103674839A (en) Visual sample positioning operating system and method based on light spot detection
CN103760025A (en) Extensometer and measuring method thereof
CN106885622B (en) A kind of big visual field multiple spot three-dimensional vibrating measurement method
CN105953741B (en) System and method for measuring local geometric deformation of steel structure
CN106225702A (en) Fracture width detection apparatus and method
CN106705850B (en) A kind of terminal quality determining method based on image
CN107092905B (en) Method for positioning instrument to be identified of power inspection robot
KR20110098127A (en) Calibration device and method for revision of crack detection system by using image processing technology
CN110108715A (en) A kind of defect inspection method of Plane-parallel Transparent Materiel
CN103292731B (en) The apparatus and method that a kind of panda type polarization-preserving fiber end face geometric parameter detects
US8094922B2 (en) Crack measuring method and apparatus
CN105865664A (en) Non-contact type assembly stress detection system and use method
CN113884011A (en) Non-contact concrete surface crack measuring equipment and method
CN108180871B (en) method for quantitatively evaluating composite insulator surface pulverization roughness
CN107091729B (en) A kind of focal length of lens test method of no mechanical movement
CN104034266B (en) Surface microstructure based high-accuracy length detection method
WO2021179400A1 (en) Computer vision-based adaptive measurement system and method for geometric parameters in assembly process
CN107231553A (en) Corner location acquisition methods and device
TW201520669A (en) Bevel-axial auto-focus microscopic system and method thereof
CN109444150A (en) Contactless crackle measurement method and its device
CN206944930U (en) A kind of pcb board hole location detecting device
US7747066B2 (en) Z-axis optical detection of mechanical feature height

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160810