CN105866241A - Machine-vision self-analyzing flaw detection device for shaft parts and machine-vision self-analyzing flaw detection method - Google Patents
Machine-vision self-analyzing flaw detection device for shaft parts and machine-vision self-analyzing flaw detection method Download PDFInfo
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- CN105866241A CN105866241A CN201610205823.7A CN201610205823A CN105866241A CN 105866241 A CN105866241 A CN 105866241A CN 201610205823 A CN201610205823 A CN 201610205823A CN 105866241 A CN105866241 A CN 105866241A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/83—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields
- G01N27/84—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields by applying magnetic powder or magnetic ink
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Abstract
The invention relates to a machine-vision self-analyzing flaw detection device for shaft parts and a machine-vision self-analyzing flaw detection method. The flaw detection device comprises a shell, a guide rail, a screw rod, a nut, a first stepping motor, a second stepping motor, another guide rail, a slide block, a first supporting block, a second supporting block and a wheel pair, wherein the guide rail is located on the middle part of the shell; the slide block is mounted on the guide rail, and is connected with the second supporting block; the wheel pair is mounted on the second supporting block; the shaft parts are located on the wheel pair; the screw rod is located above the guide rail; the nut and the screw rod are in threaded connection with each other; the first supporting block is fixedly connected with the nut; a CCD camera, a ultraviolet radiator and a magnetic suspension nozzle are arranged under the first supporting block; a magnetizing instrument is arranged at each of the two ends of each shaft part; a magnet yoke is arranged on the end part of the magnetizing instrument. According to the machine-vision self-analyzing flaw-detection device for shaft parts, the flaw image through the CCD camera can be collected, self-process can be achieved, the harm caused by ultraviolet rays can be alleviated, the flaw identifying treatment can be quickened and the identifying efficiency can be quickened.
Description
Technical field
The present invention relates to defect-detecting equipment, more particularly, it relates to a kind of machine vision is visited from analyzing axial workpiece
Hinder device.
Background technology
Fluorescent magnetic particle flaw detection is a kind of conventional lossless detection method, is that steel components surface and near surface lack
Fall into the prefered method of detection.At home, technical staff relies on human eye to combine personal experience to show by fluorescent material
Defect differentiate, it is inefficient and accuracy is the highest.
Increasingly mature along with digital image processing techniques, utilizes CCD camera to replace human eye numerous and diverse to complete
The work differentiating slight crack be the trend of following Magnetic Particle Inspection.The most CCD Technical investment is made
With, but real detection is analyzed and is also intended to manually carry out.
Summary of the invention
The technical problem to be solved in the present invention is, it is provided that a kind of machine vision is from analyzing axial workpiece flaw detection dress
Put and method, it is possible to reduce manual labor amount, and improve efficiency and accuracy.
The technical solution adopted for the present invention to solve the technical problems is: a kind of machine vision of structure is from analysis axis
Class part failure detector, including housing, is provided with guide rail, screw mandrel, nut, the first stepping electricity in described housing
Machine, the second motor, guide rail, slide block, first bracer, second bracer and take turns right；
Described guide rail is positioned at housing central section, described guide rail is installed slide block, with second bracer on described slide block
Connecting, described take turns being arranged on second bracer, axial workpiece is placed in wheel to upper；
Described screw mandrel is positioned at the top of guide rail, and described nut is connected with wire rod thread, described first bracer with
Nut is fixing to be connected, and the lower section of described first bracer arranges CCD camera, Burdick lamp and magnetic flaw detection ink
Nozzle:
Screw mandrel described in described first step motor drive rotates, and described second stepper motor drive shaft class part turns
Dynamic, described axial workpiece be respectively arranged at two ends with magnetizer, described magnetizer end is provided with yoke.
In such scheme, the bottom of described housing is provided with under casing, and under casing is by water pump and conduit and described magnetcisuspension
Nozzle for liquid connects.
In such scheme, described second motor is fixed on housing bottom, and the end of axial workpiece connects the
One belt pulley, the output shaft of the second motor connects the second belt pulley, the first belt pulley and the second belt pulley
Connected by belt.
Present invention also offers the method for detection from analysis axial workpiece failure detector of a kind of above-mentioned machine vision,
Comprise the following steps:
S1, axial workpiece is arranged on wheel to upper, axial workpiece is magnetized by yoke and magnetizer, the first stepping
Motor and the second stepping electric machine rotation, axial workpiece rotates, and magnetic flaw detection ink nozzle level moves, and by fluorescent magnetic
Powder turbid liquid spraying is to Axle Surface；
S2, axial workpiece can produce stray field in defective cracks, after spraying fluorescentmagnetic particle(powder) suspension, and leakage
Fluorescentmagnetic particle(powder) can be adsorbed in magnetic field, and fluorescentmagnetic particle(powder) under the irradiation of Burdick lamp in green, CCD camera
Fluorescence is acquired；
S3, by the image collected being carried out binaryzation, medium filtering, defect recognition process, and get rid of figure
Disturb information in Xiang, the most only show final crack shape size and number.
The machine vision implementing the present invention analyzes axial workpiece failure detector and method certainly, has following useful effect
Really:
The present invention utilizes CCD to gather fluoroscopic image, and the image collected is imported computer picture recognition
System analyzes and processes.Identify scar and remove part interference information, identify scar size and record scar number,
Analyze whether this axial workpiece can also work on, and recommend method for repairing and mending, and above-mentioned information pushing is arrived
On the terminal of flaw detection person, flaw detection person only need to carry out confirming work, improves flaw detection degree of accuracy and efficiency.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is that patent machine vision of the present invention is from the front view analyzing axial workpiece failure detector；
Fig. 2 is that patent machine vision of the present invention is from the flow chart analyzing axial workpiece method of detection；
Fig. 3 is that patent machine vision of the present invention is from the image processing flow figure analyzing axial workpiece method of detection.
Detailed description of the invention
In order to the technical characteristic of the present invention, purpose and effect are more clearly understood from, now compare accompanying drawing
Describe the detailed description of the invention of the present invention in detail.
Referring to shown in accompanying drawing 1 and accompanying drawing 2, machine vision of the present invention analyzes axial workpiece failure detector certainly,
Including CCD camera 1, axial workpiece 2, magnetizer 3, V-shaped belt 4, screw mandrel 5, nut 6,
One belt pulley the 7, second belt pulley the 8, first motor the 9, second motor 10, guide rail 11, cunning
Block 12, wheel to 13, yoke 14, Burdick lamp 15, magnetic flaw detection ink nozzle 16, conduit 17, water pump 18,
Under casing 19, housing 21, second bracer 22 of 20, first bracer.
Screw mandrel 5 is located in housing 20, is positioned at the center of top of housing 20.CCD camera 1, ultraviolet
Line lamp 15, magnetic flaw detection ink nozzle 16 are fastened on first bracer 21 by bolt and nut.Ultraviolet
15 lamps are arranged in the middle of first bracer 21, and CCD camera 1 is arranged on the left of Burdick lamp 15, magnetic
Suspension nozzle 16 is fixed on the right side of CCD camera 1.Install CCD camera 1, Burdick lamp 15,
First bracer 21 of magnetic flaw detection ink nozzle 16 is fixed together with nut 6, and nut 6 and screw mandrel 5 pass through spiral shell
Stricture of vagina connects.Screw mandrel 5 is connected by tapered sleeve with the first motor 9, and the first motor 9 is positioned at housing
Upper left side.
First belt pulley 7 is arranged on the inwall side of housing 20, is positioned at the right side of magnetizer 3.Axle class zero
Part 2 is connected by tapered sleeve with the first belt pulley 7, and axial workpiece 2 rotates coaxially with the first belt pulley 7, the
One belt pulley 7 is connected with the second belt pulley 8 by vee-belt 4.Second belt pulley 8 and the second stepping
Motor 10 is connected by tapered sleeve, and the second belt pulley 8 is positioned at the underface of the first belt pulley 7, the second stepping
Motor 10 is positioned at the left side of the second belt pulley 8.Middle part in the housing 20 that guide rail 11 is horizontally installed on,
Taking turns for a pair on the axle being separately fixed at a pair second bracers 22 to 13, axial workpiece 2 lies in a pair and takes turns
On 13, a pair second bracers 22 are fixed by screws on a pair slide block 12 respectively.Install second
A pair slide block 12 of bracer 22 respectively with guide rail 11 sliding contact.
Pair of magnetic yoke 14 and magnetizer 3 are fixed on housing about 20 medial wall by bolt and nut, axle class
Part 2 is between pair of magnetic yoke 14.Under casing 19 is positioned at the middle lower section of housing, and water pump 18 is positioned at shell
Lower right in body 20, conduit 17 connects under casing 19 and water pump 18 and magnetic flaw detection ink nozzle 16.
Axial workpiece 2 is magnetized by yoke 14 and magnetizer 3 and is sprayed fluorescentmagnetic particle(powder) by magnetic flaw detection ink nozzle 16 and hangs
After turbid liquid, stray field can be produced in defective cracks, after spraying fluorescentmagnetic particle(powder) suspension, stray field meeting
Absorption fluorescentmagnetic particle(powder), and fluorescentmagnetic particle(powder) under the irradiation of Burdick lamp in green.Utilize CCD imaging technique
Fluorescence is acquired, then the image collected is carried out at binaryzation, medium filtering, defect recognition
Reason, can with in rejection image-disturb information, the most only show that final crack shape is big
Little and quantity, and analyze whether this axial workpiece can also work on, and recommend method for repairing and mending.
In housing 20, upper left side is provided with motor and driver 10 thereof, motor and driver 10 thereof
Being connected by tapered sleeve with screw mandrel 5 one end, motor drives and driver 10 drives screw mandrel 5 to rotate,
Nut 6 linearly moves on screw mandrel 5, and first bracer 21 is consolidated with nut 6, and first supports
Block 21 drives CCD camera 1, Burdick lamp 15, magnetic flaw detection ink nozzle 16 to move back and forth, Burdick lamp
15 open offer light source, and it is countershaft with moving back and forth of self that magnetic flaw detection ink nozzle 16 utilizes axial workpiece 2 to rotate
Each position of class part 2 is uniformly sprayed, and CCD camera 1 utilizes axial workpiece 2 to rotate and oneself
The each position to axial workpiece 2 that moves back and forth of body is scanned, and gathers image.
CCD camera 1, Burdick lamp 15, magnetic flaw detection ink nozzle 16 are arranged on first by bolt and nut
On bracer 21, first bracer 21 and nut 6 are consolidated, and nut linearly moves along screw mandrel, CCD
Photographic head 1, Burdick lamp 15, magnetic flaw detection ink nozzle 16 synchronizing moving.
The magnetic flaw detection ink of drippage collected by under casing 19, and the magnetic flaw detection ink under casing 19 is passed through conduit 17 by water pump 18
It is pumped back in magnetic flaw detection ink nozzle 16 spray.
Present invention also offers the method for detection from analysis axial workpiece failure detector of the above-mentioned machine vision, including
Following steps:
S1, axial workpiece is arranged on wheel to upper, axial workpiece is magnetized by yoke and magnetizer, the first step
Entering motor and the second stepping electric machine rotation, axial workpiece rotates, and magnetic flaw detection ink nozzle level moves, and by fluorescence
Magnetic powder turbid liquid spraying is to Axle Surface.
S2, axial workpiece can produce stray field in defective cracks, after spraying fluorescentmagnetic particle(powder) suspension,
Stray field can adsorb fluorescentmagnetic particle(powder), and fluorescentmagnetic particle(powder) under the irradiation of Burdick lamp in green, CCD images
Fluorescence is acquired by head.
S3, the image of CCD camera collection pass on computer, carry out image procossing, first will gather
The Binary Sketch of Grey Scale Image arrived, each brightness representing this point with 0 to 255 of gray level image, 0 is pure
Black, 255 is pure white.Binaryzation is to arrange a threshold value, and gray value is become 0, greatly less than the point of threshold value
Point in threshold value becomes 255, then the point that image becomes by gray value is 0 and 255 forms.Due to this device
Employing fluorescentmagnetic particle(powder) detection, the image obtained is bright dark clearly demarcated, sets a threshold to 255, can be not having
Information remove, directly target is separated.Image through binaryzation there is also many noises,
Need to process further to be got rid of by interference factor.For the design of this device, medium filtering is digitized map
In Xiang, the value of some Mesophyticum of each point value in one neighborhood of this point replaces, and makes the pixel value of surrounding close
Actual value, thus eliminate isolated noise spot.Mainly there is " salt-pepper noise " in the image collected,
Show as scattered white point, medium filtering should be used to process.In view of not affecting target, native system
Use the medium filtering in 3*3 region, i.e. choose and on image, in 3*3 region, amount to 9 pixels, by gray scale
They are ranked up by value, then substitute the value of each point with intermediate value, thus eliminate noise.Then use and lack
Fall into and identify, i.e. use algorithm to calculate defect area (white portion in figure) and pickup area (Tu Zhong bent axle district
Territory) ratio of area, such that it is able to show the scar situation of tested axial workpiece more intuitively.Simultaneously
By the number of white portion on counting module record bent axle, i.e. can get scar quantity.By gathering
In image, scar shape size is analyzed comparison with scar number with the similar situation in data base, point
Separate out whether this axial workpiece can also be continuing with, and recommend method for repairing and mending, and by above-mentioned information pushing
On the terminal of flaw detection person.
The present invention, on the basis of traditional method, utilizes CCD to gather fluoroscopic image, and the image that will collect
Import in computer picture recognition system and analyze and process, identify scar and remove part interference information, identify
Scar size also records scar number, analyzes whether this axial workpiece can also work on, and recommends to repair
Method, and by above-mentioned information pushing to the terminal of flaw detection person, flaw detection person only need to carry out confirming work
Make, improve flaw detection degree of accuracy and efficiency.
Above in conjunction with accompanying drawing, embodiments of the invention are described, but the invention is not limited in
The detailed description of the invention stated, above-mentioned detailed description of the invention is only schematic rather than restricted
, those of ordinary skill in the art is under the enlightenment of the present invention, without departing from present inventive concept and right
Require, under the ambit protected, to it may also be made that a lot of form, these belong to the present invention protection it
In.
Claims (4)
1. a machine vision is from analyzing axial workpiece failure detector, it is characterised in that include housing, institute
Be provided with in stating housing guide rail, screw mandrel, nut, the first motor, the second motor, guide rail, slide block,
First bracer, second bracer and take turns right；
Described guide rail is positioned at housing central section, described guide rail is installed slide block, with second bracer on described slide block
Connecting, described take turns being arranged on second bracer, axial workpiece is placed in wheel to upper；
Described screw mandrel is positioned at the top of guide rail, and described nut is connected with wire rod thread, described first bracer with
Nut is fixing to be connected, and the lower section of described first bracer arranges CCD camera, Burdick lamp and magnetic flaw detection ink
Nozzle:
Screw mandrel described in described first step motor drive rotates, and described second stepper motor drive shaft class part turns
Dynamic, described axial workpiece be respectively arranged at two ends with magnetizer, described magnetizer end is provided with yoke.
Machine vision the most according to claim 1 is from analyzing axial workpiece failure detector, and its feature exists
In, the bottom of described housing is provided with under casing, and under casing is connected with described magnetic flaw detection ink nozzle by water pump and conduit.
Machine vision the most according to claim 1 is from analyzing axial workpiece failure detector, and its feature exists
In, described second motor is fixed on housing bottom, and the end of axial workpiece connects the first belt pulley, the
The output shaft of two stepping motor connects the second belt pulley, the first belt pulley and the second belt pulley by belt even
Connect.
4. the machine vision utilized described in claim 1 is from the flaw detection analyzing axial workpiece failure detector
Method, it is characterised in that comprise the following steps:
S1, axial workpiece is arranged on wheel to upper, axial workpiece is magnetized by yoke and magnetizer, the first step
Entering motor and the second stepping electric machine rotation, axial workpiece rotates, and magnetic flaw detection ink nozzle level moves, and by fluorescence
Magnetic powder turbid liquid spraying is to Axle Surface；
S2, axial workpiece can produce stray field in defective cracks, after spraying fluorescentmagnetic particle(powder) suspension,
Stray field can adsorb fluorescentmagnetic particle(powder), and fluorescentmagnetic particle(powder) under the irradiation of Burdick lamp in green, CCD images
Fluorescence is acquired by head；
S3, by the image collected being carried out binaryzation, medium filtering, defect recognition process, get rid of
Image disturbs information, the most only shows final crack shape size and number.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610205823.7A CN105866241A (en) | 2016-04-03 | 2016-04-03 | Machine-vision self-analyzing flaw detection device for shaft parts and machine-vision self-analyzing flaw detection method |
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|---|---|---|---|
| CN201610205823.7A CN105866241A (en) | 2016-04-03 | 2016-04-03 | Machine-vision self-analyzing flaw detection device for shaft parts and machine-vision self-analyzing flaw detection method |
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| CN105866241A true CN105866241A (en) | 2016-08-17 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110376277A (en) * | 2019-07-25 | 2019-10-25 | 湖州阳力钢结构有限公司 | Roller defects detecting technology for steel construction production |
| CN110426448A (en) * | 2019-08-01 | 2019-11-08 | 捷航设备制造股份有限公司 | A kind of magnetic powder inspection trolley for taking into account axle flaw detection function for axle inspection machine |
| CN110426449A (en) * | 2019-08-01 | 2019-11-08 | 捷航设备制造股份有限公司 | A kind of line flaw detection double brake beam magnaflux simultaneously |
| CN112816545A (en) * | 2020-09-30 | 2021-05-18 | 中国石油天然气股份有限公司 | Method and device for determining area of storage tank repairing plate |
| CN113129304A (en) * | 2021-05-18 | 2021-07-16 | 郑州轻工业大学 | Part detection method based on machine vision |
| CN114041051A (en) * | 2019-04-15 | 2022-02-11 | 伊利诺斯工具制品有限公司 | System for visually scanning an article during non-destructive (NDT) inspection |
| CN116577408A (en) * | 2023-07-12 | 2023-08-11 | 江苏赛福探伤设备制造有限公司 | Magnetic powder inspection machine for bearing roller |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN110426449A (en) * | 2019-08-01 | 2019-11-08 | 捷航设备制造股份有限公司 | A kind of line flaw detection double brake beam magnaflux simultaneously |
| CN112816545A (en) * | 2020-09-30 | 2021-05-18 | 中国石油天然气股份有限公司 | Method and device for determining area of storage tank repairing plate |
| CN113129304A (en) * | 2021-05-18 | 2021-07-16 | 郑州轻工业大学 | Part detection method based on machine vision |
| CN116577408A (en) * | 2023-07-12 | 2023-08-11 | 江苏赛福探伤设备制造有限公司 | Magnetic powder inspection machine for bearing roller |
| CN116577408B (en) * | 2023-07-12 | 2023-10-03 | 江苏赛福探伤设备制造有限公司 | Magnetic powder inspection machine for bearing roller |
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