CN102825505A - Online detecting system of machine tool cutters based on machine vision - Google Patents

Online detecting system of machine tool cutters based on machine vision Download PDF

Info

Publication number
CN102825505A
CN102825505A CN2012103090621A CN201210309062A CN102825505A CN 102825505 A CN102825505 A CN 102825505A CN 2012103090621 A CN2012103090621 A CN 2012103090621A CN 201210309062 A CN201210309062 A CN 201210309062A CN 102825505 A CN102825505 A CN 102825505A
Authority
CN
China
Prior art keywords
stepper motor
machine tool
camera
detection system
rotating
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.)
Granted
Application number
CN2012103090621A
Other languages
Chinese (zh)
Other versions
CN102825505B (en
Inventor
全燕鸣
党希超
谢德浩
卢满怀
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.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
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 South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN201210309062.1A priority Critical patent/CN102825505B/en
Publication of CN102825505A publication Critical patent/CN102825505A/en
Application granted granted Critical
Publication of CN102825505B publication Critical patent/CN102825505B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Machine Tool Sensing Apparatuses (AREA)

Abstract

The invention discloses an online detecting system of machine tool cutters based on a machine vision. The online detecting system of machine tool cutters comprises a mechanical arm with multiple freedom degrees, an image acquisition device and a computer. The mechanical arm is mounted on a machine tool and comprises a longitudinal moving mechanism, a rotating mechanism, a transverse moving mechanism and a turning mechanism. The lower end of the longitudinal moving mechanism is connected with the transverse moving mechanism through the rotating mechanism. The turning mechanism is mounted on the transverse moving mechanism. The image acquisition device is mounted in the turning mechanism. The longitudinal moving mechanism, the rotating mechanism, the transverse moving mechanism, the turning mechanism, and the image acquisition device are connected with the computer. By the online detecting system of machine tool cutters, macroscopic shape and size detecting and microcosmic wear detecting can be directly and automatically performed to a cutter mounted on a mandrel in a limited space of the machine tool, acquired images are high in quality, and detecting results are accurate.

Description

Machine tool in-place detection system based on machine vision
Technical field
The present invention relates to the machine tool in-place detection system, be specifically related to a kind of machine tool in-place detection system based on machine vision.
Background technology
Cutter is a most widely used machining tool of the lathe in the present commercial production, and its parameter and quality directly determine the quality and the qualification rate of processing.In order to ensure crudy, in design, processing and the use of cutter, must measure cutter, to guarantee the part processing quality, enhance productivity, reduce production costs.
In metal cutting process, operating personnel are difficult to see clearly at the rounding machine cutter cutting tool state on the heavy duty machine tools particularly with naked eyes.The laboratory research that gall to decrease detects about cutter for a long time and emerge in an endless stream based on various cutter life Research on Management Mode of theory or experience; This explains that on the one hand people are fully recognized that the necessity of wanting head it off, and the difficulty and the complexity of this problem also is described on the other hand.Because the complexity of cutter material, geometrical condition and working environment, what people attempted all is difficult in production environment, characterize reliably the cutter virtual condition based on indirect estimation methods such as cutting force or machine tool chief axis power.Therefore, the cutting tool state detection is a difficult problem of generally acknowledging in lathe and the cut field with regulator control system always.Still little at present enterprise uses the cutter Automatic Measurement Technique.
The image detection method has directly and reliable characteristics.Band CCD (Charge-coupled Device, Chinese full name is: charge coupled cell) microscope of shooting has good certainty of measurement, detects but can only be used for small field of view in the laboratory; Optical projection formula tool setting gauge (tool presetter) also can only be used for cutter is carried out flat shape and dimensional measurement at measuring chamber; The off-line Static Detection such as circular runout of the point of a knife angle of projection, arc radius and dish type cutter for example; Powerless to cutter 3D shape dimensional parameters, there is not microcosmic abrasion detection function yet.Except that simple contact tool setting gauge, domestic also do not have practical in rounding machine cutter state-detection amount appearance.The more existing cutter on-line detector devices of industry advanced country; Some has become commodity, but mainly is based on contact type measurement or laser measurement, like the laser type cutting tools measurement appearance of Britain Reinshaw company; Work in-process heart workbench is installed laser beam transmitter on one side during use; Another side is installed the laser beam receiver, and main suitable detection cutter is disrumpent feelings, and suitable to tool wear and complex geometric shapes detection.Operating personnel also feel not really reliable and convenient to the non-visual detection method directly perceived of this type and the use of device.
There is a small amount of scholar to attempt carrying out image detection in recent years at rounding machine cutter based on vision technique; But with General Principle and image processing method introduction is main; IMAQ all is to adopt the laboratory with adding long tube type amplification imaging equipment and general light source, artificial adjustment and triggering camera picked-up single-frame images basically.But such checkout gear takes up room greatly, often needs removal workpiece or some machine tool components to pacify and can hold, and is difficult in actual production, be installed in the in-place detection of carrying out cutter in the limited space of lathe; Imaging viewing field is little in addition, can not take into account the macroshape size and the surface microscopic state-detection of cutter; And can not adjust camera focus and visual field and light source automatically, so automation and intelligent degree are low, detection efficiency is low.
Summary of the invention
The present invention is in order to overcome the deficiency that above prior art exists, provide a kind of little based on taking up room of machine vision, can stride the accurate automatically machine tool in-place detection system that detects of yardstick.
The object of the invention is realized through following technical scheme: the machine tool in-place detection system based on machine vision comprises multivariant mechanical arm, image acquiring device and computer; Said mechanical arm is installed on lathe, and mechanical arm comprises vertical shift mechanism, rotating mechanism, transverse-moving mechanism and switching mechanism; The end of vertical shift mechanism is connected with transverse-moving mechanism through rotating mechanism, and switching mechanism is installed on the transverse-moving mechanism, and image acquiring device is installed in the switching mechanism; Motor in vertical shift mechanism, rotating mechanism, transverse-moving mechanism, switching mechanism and the image acquiring device all passes through integrated drive plate and is connected with computer.
Said vertical shift mechanism comprises tooth bar, first gear, first guiding polished rod, connector, vertical shift stepper motor, the fixed mount and is with transmission synchronously; Tooth bar passes the groove of connector; First gear is installed in the groove of connector, and meshes with tooth bar, and first gear is connected with the vertical shift stepper motor through being with transmission synchronously simultaneously; The vertical shift stepper motor is installed on connector through fixed mount; The first guiding polished rod passes the through hole of connector, and the vertical shift stepper motor is connected with Computer signal, and the end of the end of tooth bar and the first guiding polished rod all is fixed in an end of rotating mechanism.When after cutter quits work, being parked in certain height, the control module of computer drives the vertical shift stepper motor, and then the vertical shift stepper motor drives the rotation of first gear through synchronous band transmission, cutter is made a video recording at suitable height thereby can regulate camera.
As a kind of preferred, the number of the said first guiding polished rod is 2, is installed on the both sides of tooth bar respectively.The length of the tooth bar and the first guiding polished rod is confirmed according to the size of lathe and the inner space of lathe.
Said connector is installed on main shaft shell body or workbench or the inwall or the back timber of lathe.
As a kind of preferred, said connector is installed on the main shaft shell body of lathe.
Said rotating mechanism comprises rotating frame, rotating stepper motor, first shaft coupling, connecting axle, bearing and locking nut; Rotating stepper motor is installed on the interior top of groove of rotating frame; The output shaft of rotating stepper motor is connected with the upper end of first shaft coupling; The first shaft coupling lower end is connected with connecting axle; Connecting axle passes bearing, and the lower end of connecting axle is fixedly connected with the upper end of transverse-moving mechanism through locking nut, and rotating stepper motor is connected with Computer signal.The control module driven in rotation motor of computer carries out 360 ° rotation thereby drive the image acquiring device that transverse-moving mechanism and transverse-moving mechanism carried through connecting axle, thereby can increase the scope of detection in horizontal plane.
Said transverse-moving mechanism comprises that traversing framework, first leading screw, the second guiding polished rod, second connect axial organ, feed screw nut plate, installing frame and traversing stepper motor; First leading screw is installed on the centre of traversing framework; And the two ends of first leading screw are installed on the two ends of traversing framework respectively, and the second guiding polished rod is installed in the traversing framework, and is positioned at the both sides of first leading screw; The lower end of feed screw nut plate is passed by first leading screw and the second guiding polished rod simultaneously; The upper end is provided with U-lag, and image acquiring device is installed on through switching mechanism in the U-lag of feed screw nut plate, and traversing stepper motor is installed on the tail end of traversing framework through installing frame; And the output shaft of traversing stepper motor is connected with first screw mandrel through second shaft coupling, and traversing stepper motor is connected with Computer signal.Control module through computer drives traversing stepper motor, thereby can adjust the distance of the camera lens of camera with respect to cutter.When the distance between camera lens and the cutter was far away, camera was taken the side image of cutter, thereby can detect the side view size of cutter; And when the close together between camera lens and the cutter, then camera will be taken cutter head local side image, thereby detect the microstate of cutter head side, like the degree of wear of cutter.On this basis, relend and help machine tool chief axis to drive the cutter rotation, then can detect cutter whole circumference surface.
Said switching mechanism comprises rollover stand and upset stepper motor; Rollover stand and upset stepper motor are installed on the medial and lateral of U-lag respectively, and image acquiring device is installed in the rollover stand, and the output shaft of upset stepper motor inserts the square hole of rollover stand, and the stepper motor that overturns simultaneously is connected with Computer signal.The control module of computer drives the upset stepper motor, in vertical plane, carries out 180 ° rotation thereby drive camera.When needs detected the knife end surface state, camera rotated 90 °, makes camera lens up, and vertical with horizontal plane.Simultaneously, the control module of computer drives traversing stepper motor, drives camera and moves at horizontal plane, makes camera lens face the end face of cutter, camera is taken the end face of cutter, thereby can be carried out the state-detection of cutter end face.
Said image acquiring device comprises camera and light source; Camera fixing is installed in the rollover stand, and the camera lens front end of camera is provided with protective cover, and light source is installed on the place ahead of camera lens, and camera is connected with Computer signal.The protective cover that the camera lens front end is installed is the zero diopter protective cover, thereby prevents mist of oil and smear metal pollution camera lens (when particularly taking the cutter end face from the bottom up), influences the quality of image, thereby influences testing result.
As a kind of preferred; Said camera adopts mega pixel level industrial digital camera; And has a 25mm tight shot; Adapter ring is arranged to regulate visual field and object distance relation between camera and the camera lens, within the 125mm object distance, take micro-wearing and tearing visual field and be not less than 20*20mm, within the 300mm object distance, take long limit, macro-size visual field and be not less than 65mm.
Said machine tool in-place detection system based on machine vision also comprises two guiding slotted vanes, second leading screw, feed screw nut frame and roll adjustment stepper motors; The slide bar of said light source both sides inserts the guiding slotted vane, and light source is installed on second screw mandrel through the feed screw nut frame simultaneously, and the roll adjustment stepper motor is installed on the afterbody of miniature leading screw, and is connected with Computer signal simultaneously.Second screw mandrel is miniature screw mandrel, and the control module through computer drives the roll adjustment stepper motor and drives second screw mandrel and rotate, thereby regulates between light source and the camera lens in distance.Therefore take under the bright intensity that camera can be suitable and obtain picture.
Said machine tool in-place detection system based on machine vision also comprises second gear, fixed head and focusing stepper motor; Said second gear is installed on the output shaft of focusing stepper motor, and simultaneously with the focusing gear ring engagement of camera, the focusing stepper motor is fixedly installed in camera through fixed head, the focusing stepper motor is connected with Computer signal.Can carry out automatic focusing thereby the control module of utilizing computer drives the focusing stepper motor, obtain high quality graphic.Can select the adapter ring of different size between camera main-body and the camera lens, with the visual field and the object distance relation of regulating camera.
The lower end of the main shaft shell body of said lathe is provided with backlight arrangement; Backlight arrangement comprises backlight, installing plate and connecting plate; And backlight is positioned at the place ahead of light source, and backlight is articulated in the lower end of connecting plate, and the upper end of connecting plate and installing plate lower end are hinged; The upper end of installing plate is fixedly mounted on the lower end of main shaft shell body, and cutter to be detected is between light source and backlight.Connecting plate plays a folding effect.When cutter being carried out the side shooting,, thereby remove the interference of background and strengthen illumination if under the situation of have powerful connections interference or intensity of illumination deficiency, backlight (perhaps using motor-driven separately) can be set manually.When backlight does not use, can upwards draw in, thereby can not influence the processing of cutter.
Operation principle of the present invention is following: when detection system was not worked, camera was positioned at highest point; Before detection system is started working; Computer at first carries out system initialization to detection system; Even each stepper motor parameter in the detection system and the zero clearing of image processing parameter; Operating personnel are according to concrete detection target and the cutter parameters that require to detect each location parameter of input needs shooting cutter image and the control instruction of image processing parameter in computer successively then, click " bringing into operation " button on the user interface of computer again, and detection system gets into automatic detected state.When each stepper motor of computer drives makes camera reach predetermined camera site; Automatically get into focusing; Focusing step motor drive camera lens automatically before and after adjustment simultaneously cutter is taken image series continuously, the camera focusing software program in the computer is differentiated wherein picture rich in detail automatically according to the focusing function.Focusing step motor control module in the computer according to the picture rich in detail signal that obtains after, again control signal is fed back to the focusing stepper motor through general serial or parallel interface, make a video recording thereby the control camera lens fixes on correspondence position.Afterwards the image of taking is sent to computer, the image analysis software in the computer is carried out Treatment Analysis to image, thereby detects the state of cutter, and the testing result of cutter is shown in computer screen; After detecting end, the computer control camera returns to original position, and promptly camera is positioned at highest point, thereby makes detection system when not working, and does not influence the work of cutter.
The present invention has following advantage with respect to prior art:
1, the machine tool in-place detection system based on machine vision of the present invention is through the connection between vertical shift mechanism, rotating mechanism, transverse-moving mechanism and the switching mechanism; Motion through a plurality of mechanisms of computer control and parts makes camera confirm in different positions according to different requirement; What make that camera can obtain cutter in limited lathe space strides the scalogram picture; So can accomplish the macroshape of the flank of tool, bottom surface, the detection and the detection of cutter worn-off damage microcosmic of size automatically; And the mechanism of detection system is compact, when detection system is not worked, can not influence the processing operation of lathe.
2, the machine tool in-place detection system based on machine vision of the present invention not only camera lens can regulate automatically from distance and angle between the cutter; And the distance between light source and the camera lens also can be regulated automatically; So it is high that camera obtains the quality of cutter image, thereby make the testing result of cutter more accurate.
3, the machine tool in-place detection system based on machine vision of the present invention can directly detect cutting tool state in lathe, and need the cutter dismounting not detected down again, so significantly reduced detection time and saved the time of tool setting again; And each mechanism in the detection system and the motion of parts be all through computer control, thereby improved the automation and the intelligent degree of detection system.
Description of drawings
Fig. 1 is the structural representation of the machine tool in-place detection system based on machine vision of the present invention.
Fig. 2 is the structural representation of mechanical arm of the present invention.
Fig. 3 is the structural representation of vertical shift of the present invention mechanism.
Fig. 4 is the structural representation of rotating mechanism of the present invention.
Fig. 5 is the structural representation of transverse-moving mechanism of the present invention, switching mechanism and image acquiring device.
Fig. 6 is the structural representation of machine tool in-place detection system when detecting the state of flank of tool geomery based on machine vision of the present invention.
Fig. 7 is the structural representation of machine tool in-place detection system when detecting the state of flank of tool microcosmic based on machine vision of the present invention.
Fig. 8 is the structural representation of machine tool in-place detection system when detecting the knife end surface state based on machine vision of the present invention.
Fig. 9 is the structural representation of the machine tool in-place detection system based on machine vision of the present invention when being in off working state.
Figure 10 is the workflow diagram of the machine tool in-place detection system based on machine vision of the present invention.
The specific embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is described further.
Embodiment 1
To the machine tool in-place detection system based on machine vision shown in Figure 5, comprise multivariant mechanical arm, image acquiring device 7 and computer like Fig. 1; Said mechanical arm is installed on lathe, and mechanical arm comprises vertical shift mechanism 4, rotating mechanism 5, transverse-moving mechanism 6 and switching mechanism 8; The end of vertical shift mechanism 4 is connected with transverse-moving mechanism 6 through rotating mechanism 5, and switching mechanism 8 is installed on the transverse-moving mechanism 6, and image acquiring device 7 is installed in the switching mechanism 8; Vertical shift mechanism 4, rotating mechanism 5, transverse-moving mechanism 6, tipper 8 structures all are connected with computer with image acquiring device 7.
Said vertical shift mechanism 4 comprises tooth bar 12, first gear 13, first guiding polished rod 11, connector 10, vertical shift stepper motor 15, the fixed mount 9 and is with transmission 14 synchronously; Tooth bar 12 passes the groove of connector 10; First gear 13 is installed in the groove of connector 10, and meshes with tooth bar 12, and first gear 13 is connected with vertical shift stepper motor 15 through being with transmission 14 synchronously simultaneously; Vertical shift stepper motor 15 is installed on connector 10 through fixed mount 9; The first guiding polished rod 11 passes the through hole of connector 10, and vertical shift stepper motor 15 is connected with Computer signal, and the end of the end of tooth bar 12 and the first guiding polished rod 11 all is fixed in an end of rotating mechanism 5.As a kind of preferred, the upper end of the rotating frame 22 in the rotating mechanism 5 all is fixed in the lower end of the tooth bar 12 and the first guiding polished rod 11.The number of the said first guiding polished rod 11 is 2, is installed on the both sides of tooth bar 12 respectively.The length of the tooth bar 12 and the first guiding polished rod 11 is confirmed according to the size of lathe and the inner space of lathe.
As a kind of preferred, said connector 10 is installed on the main shaft shell body 3 of lathe.
Said rotating mechanism 5 comprises rotating frame 22, rotating stepper motor 16, first shaft coupling 17, connecting axle 18, bearing 19 and locking nut 21; Rotating stepper motor 16 is installed on the interior top of groove of rotating frame 22; The output shaft of rotating stepper motor 16 is connected with the upper end of first shaft coupling 17; The first shaft coupling lower end 17 is connected with connecting axle 18; Connecting axle 18 passes bearing 19, and the upper end of the lower end of connecting axle 18 through the traversing framework in locking nut 21 and the transverse-moving mechanism 6 be fixedly connected, and rotating stepper motor 16 is connected with Computer signal.
Said transverse-moving mechanism 6 comprises that traversing framework 20, first leading screw 24, the second guiding polished rod 23, second connect axial organ 27, feed screw nut plate 30, installing frame 25 and traversing stepper motor 26; First leading screw 24 is installed on the centre of traversing framework 20; And the two ends of first leading screw 24 are installed on the two ends of traversing framework 20 respectively, and the second guiding polished rod 23 is installed in the traversing framework 20, and is positioned at the both sides of first leading screw 24; The lower end of feed screw nut plate 30 is passed by first leading screw 24 and the second guiding polished rod 23 simultaneously; The upper end is provided with U-lag, and image acquiring device 7 is installed on through switching mechanism 8 in the U-lag of feed screw nut plate 30, and traversing stepper motor 26 is installed on the tail end of traversing framework 20 through installing frame 25; And the output shaft of traversing stepper motor 26 is connected with first screw mandrel 24 through second shaft coupling 27, and traversing stepper motor 26 is connected with Computer signal.The two ends of said first screw mandrel 24 are installed on the header board 31 and back plate 28 of traversing framework 20 respectively through bearing, and an end of first screw mandrel 24 is connected with traversing stepper motor 26 through second shaft joint 27.And 2 second both sides that guide polished rod 23 to lay respectively at first screw mandrel 24, and the two ends of the second guiding polished rod 23 are individually fixed in header board 31 and back plate 28.
Said switching mechanism 8 comprises rollover stand 40 and upset stepper motor 29; Rollover stand 40 and upset stepper motor 28 are installed on the medial and lateral of U-lag respectively, and image acquiring device 7 is installed in the rollover stand 40, and the output shaft of upset stepper motor 29 inserts the square hole of rollover stand 40, and the stepper motor 29 that overturns simultaneously is connected with Computer signal.
Said image acquiring device comprises camera 42 and light source 34; Camera 42 is fixedly installed in the rollover stand 40, and the camera lens front end of camera 42 is provided with protective cover 36, and light source 34 is installed on the place ahead of camera lens, and camera 42 is connected with Computer signal.
As a kind of preferred; Said camera adopts mega pixel level industrial digital camera, and the 25mm tight shot is housed, and between camera and the camera lens adapter ring is arranged; Within the 125mm object distance, take micro-wearing and tearing visual field and be not less than 20*20mm, within the 300mm object distance, take long limit, macro-size visual field and be not less than 65mm.
Said machine tool in-place detection system based on machine vision also comprises two guiding slotted vanes 35, second leading screw 32, feed screw nut frame 33 and roll adjustment stepper motor; The slide bar of said light source 34 both sides inserts guiding slotted vane 35, and light source 34 is installed on second screw mandrel 32 through feed screw nut frame 33 simultaneously, and the roll adjustment stepper motor is installed on the afterbody of second leading screw, and is connected with Computer signal simultaneously.
Said machine tool in-place detection system based on machine vision also comprises second gear 38, fixed head 41 and focusing stepper motor 39; Said second gear 38 is installed on the output shaft of focusing stepper motor 39, and simultaneously with focusing gear ring 37 engagements of camera 42, focusing stepper motor 39 is fixedly installed in camera 42 through fixed head 41, focusing stepper motor 39 is connected with Computer signal.
The lower end of the main shaft shell body of said lathe is provided with backlight arrangement 2; Backlight arrangement comprises backlight 201, connecting plate 202 and installing plate 203; And backlight 201 is positioned at the place ahead of light source 34, and backlight 201 is articulated in the lower end of connecting plate 202, and the upper end of connecting plate 202 and installing plate 203 lower ends are hinged; The upper end of installing plate 203 is fixedly mounted on the lower end of main shaft shell body, and cutter to be detected is between light source and backlight.
According to Figure 10, this is based on each detected state of the machine tool in-place detection system of machine vision:
Like Fig. 6, when needs detect cutter 1 side view size, at first utilize to calculate detection system is carried out initialization, input is instructed to each Stepping Motor Control in computer then.Promptly at first drive vertical shift stepper motor 15 adjustment cameras 42 and arrive the height of setting; Driven in rotation stepper motor 16 makes camera 42 rotating certain angle again; The camera lens that makes camera 42 is over against cutter 1; Then drive traversing stepper motor 26 drive cameras 42 and move horizontally, make the size of distance between camera lens and the cutter 1 for setting.Utilize focusing stepper motor 39 to regulate the focal length of cameras 42, adjust to suitable focal length after, start 42 pairs of cutters 1 of camera and take, and the image that shooting obtains is sent to computer through serial port.Image processing software in the computer carries out Treatment Analysis to image, thereby detects the side view size of cutter 1.Carrying out side when shooting, machine tool chief axis can drive cutter 1 rotation, thereby camera 42 can be taken the whole circumference side of cutter 1.The image of taking sends computer to and carries out Treatment Analysis, and the data of Treatment Analysis are preserved, and shows the result through computer screen simultaneously.In the process of side shooting, backlight 2 determines whether leave behind according to the needs of illumination and the situation of background.
Like Fig. 7, when needing to detect the microstate of cutter 1 side, at first utilize to calculate detection system is carried out initialization, in computer, import then each Stepping Motor Control instruction.Utilize computer control vertical shift stepper motor 15 and rotating stepper motor 16, make camera 42 move to suitable height and in horizontal plane, turn to the correct position that the camera lens that makes camera 42 faces cutter 1 termination.Drive traversing stepper motor 26; The camera lens that makes camera 42 near cutter 1 termination the side; After camera 42 is adjusted focal length, shooting at close range is carried out in the side of cutter 1 termination then and obtain image; Send image to computer again and carry out Treatment Analysis, and will draw data to the microstate analysis of cutter termination and preserve, show the result through computer screen simultaneously.In the process of side microimaging, machine tool chief axis can drive cutter 1 rotation, thereby camera 42 can photograph whole circumference side, cutter termination, and this moment, backlight 2 generally was in rounding state;
Like Fig. 8, when needs detect the end face of cutter 1, at first utilize to calculate detection system is carried out initialization, input is instructed to each Stepping Motor Control in computer then.Utilize computer control vertical shift stepper motor 15 and rotating stepper motor 16, make camera 42 be positioned at the height and the rotating certain angle of setting; Drive upset stepper motor 29 again, camera 42 is overturn 90 ° in vertical plane, the camera lens that makes camera 42 up; Drive traversing stepper motor 26 then, make the camera lens of camera 42 face the end face of cutter 1; After again the focal length of camera 42 being adjusted to suitable position; The end face of 42 pairs of cutters 1 of camera is taken and is obtained image; And image is sent to computer; And computer utilizes Treatment Analysis software that the image of end face is carried out Treatment Analysis, and the data that this analysis draws are preserved, and the display screen of logical computer shows the result simultaneously.When the end face of cutter 1 detected, because need not use backlight 2, backlight was in rounding state.
As shown in Figure 9, when detection system was in off working state, the traversing framework 20 in the transverse-moving mechanism 6 was parallel with the main shaft shell body 3 of lathe, and the mechanism 4 of vertical shift simultaneously rises to the extreme higher position with camera 42, thereby avoided detection system to influence the work operation of cutter.
Embodiment 2
This based on the machine tool in-place detection system of machine vision except that following characteristics with embodiment 1: as a kind of preferably, said connector 10 is installed on the inwall of lathe.
The above-mentioned specific embodiment is the preferred embodiments of the present invention, can not limit the present invention, and other any change or other equivalent substitute mode that does not deviate from technical scheme of the present invention and made is included within protection scope of the present invention.

Claims (10)

1. based on the machine tool in-place detection system of machine vision, it is characterized in that: comprise multivariant mechanical arm, image acquiring device and computer; Said mechanical arm is installed on lathe, and mechanical arm comprises vertical shift mechanism, rotating mechanism, transverse-moving mechanism and switching mechanism; The end of vertical shift mechanism is connected with transverse-moving mechanism through rotating mechanism, and switching mechanism is installed on the transverse-moving mechanism, and image acquiring device is installed in the switching mechanism; Vertical shift mechanism, rotating mechanism, transverse-moving mechanism, switching mechanism and image acquiring device all are connected with computer.
2. the machine tool in-place detection system based on machine vision according to claim 1 is characterized in that: said vertical shift mechanism comprises tooth bar, first gear, first guiding polished rod, connector, vertical shift stepper motor, the fixed mount and is with transmission synchronously; Tooth bar passes the groove of connector; First gear is installed in the groove of connector, and meshes with tooth bar, and first gear is connected with the vertical shift stepper motor through being with transmission synchronously simultaneously; The vertical shift stepper motor is installed on connector through fixed mount; The first guiding polished rod passes the through hole of connector, and the vertical shift stepper motor is connected with Computer signal, and the end of the end of tooth bar and the first guiding polished rod all is fixed in an end of rotating mechanism.
3. the machine tool in-place detection system based on machine vision according to claim 2 is characterized in that: said connector is installed on main shaft shell body or workbench or the inwall or the back timber of lathe.
4. the machine tool in-place detection system based on machine vision according to claim 1 is characterized in that: said rotating mechanism comprises rotating frame, rotating stepper motor, first shaft coupling, connecting axle, bearing and locking nut; Rotating stepper motor is installed on the interior top of groove of rotating frame; The output shaft of rotating stepper motor is connected with the upper end of first shaft coupling; The first shaft coupling lower end is connected with connecting axle; Connecting axle passes bearing, and the lower end of connecting axle is fixedly connected with the upper end of transverse-moving mechanism through locking nut, and rotating stepper motor is connected with Computer signal.
5. the machine tool in-place detection system based on machine vision according to claim 1 is characterized in that: said transverse-moving mechanism comprises that traversing framework, first leading screw, the second guiding polished rod, second connect axial organ, feed screw nut plate, installing frame and traversing stepper motor; First leading screw is installed on the centre of traversing framework; And the two ends of first leading screw are installed on the two ends of traversing framework respectively, and the second guiding polished rod is installed in the traversing framework, and is positioned at the both sides of first leading screw; The lower end of feed screw nut plate is passed by first leading screw and the second guiding polished rod simultaneously; The upper end is provided with U-lag, and image acquiring device is installed on through switching mechanism in the U-lag of feed screw nut plate, and traversing stepper motor is installed on the tail end of traversing framework through installing frame; And the output shaft of traversing stepper motor is connected with first screw mandrel through second shaft coupling, and traversing stepper motor is connected with Computer signal.
6. the machine tool in-place detection system based on machine vision according to claim 5 is characterized in that: said switching mechanism comprises rollover stand and upset stepper motor; Rollover stand and upset stepper motor are installed on the medial and lateral of U-lag respectively, and image acquiring device is installed in the rollover stand, and the output shaft of upset stepper motor inserts the square hole of rollover stand, and the stepper motor that overturns simultaneously is connected with Computer signal.
7. according to each described machine tool in-place detection system based on machine vision of claim 6, it is characterized in that: said image acquiring device comprises camera and light source; Camera fixing is installed in the rollover stand, and the camera lens front end of camera is provided with protective cover, and light source is installed on the place ahead of camera lens, and camera is connected with Computer signal.
8. the machine tool in-place detection system based on machine vision according to claim 7 is characterized in that: also comprise two guiding slotted vanes, second leading screw, feed screw nut frame and roll adjustment stepper motors; The slide bar of said light source both sides inserts the guiding slotted vane, and light source is installed on second screw mandrel through the feed screw nut frame simultaneously, and the roll adjustment stepper motor is installed on the afterbody of miniature leading screw, and is connected with Computer signal simultaneously.
9. the machine tool in-place detection system based on machine vision according to claim 7 is characterized in that: also comprise second gear, fixed head and focusing stepper motor; Said second gear is installed on the output shaft of focusing stepper motor, and simultaneously with the focusing gear ring engagement of camera, the focusing stepper motor is fixedly installed in camera through fixed head, the focusing stepper motor is connected with Computer signal.
10. according to each described machine tool in-place detection system in the claim 7 to 9 based on machine vision; It is characterized in that: the lower end of the main shaft shell body of said lathe is provided with backlight arrangement; Backlight arrangement comprises backlight, installing plate and connecting plate; And backlight is positioned at the place ahead of light source, and backlight is articulated in the lower end of connecting plate, and the upper end of connecting plate and installing plate lower end are hinged; The upper end of installing plate is fixedly mounted on the lower end of main shaft shell body, and cutter to be detected is between light source and backlight.
CN201210309062.1A 2012-08-27 2012-08-27 Online detecting system of machine tool cutters based on machine vision Expired - Fee Related CN102825505B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210309062.1A CN102825505B (en) 2012-08-27 2012-08-27 Online detecting system of machine tool cutters based on machine vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210309062.1A CN102825505B (en) 2012-08-27 2012-08-27 Online detecting system of machine tool cutters based on machine vision

Publications (2)

Publication Number Publication Date
CN102825505A true CN102825505A (en) 2012-12-19
CN102825505B CN102825505B (en) 2014-12-03

Family

ID=47328925

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210309062.1A Expired - Fee Related CN102825505B (en) 2012-08-27 2012-08-27 Online detecting system of machine tool cutters based on machine vision

Country Status (1)

Country Link
CN (1) CN102825505B (en)

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103439751A (en) * 2013-09-04 2013-12-11 吴江市博众精工科技有限公司 Detecting mechanism used for detecting whether installation of parts is qualified
CN103586740A (en) * 2013-10-31 2014-02-19 东华大学 Minuteness and precision machining tool working shape online detection device and method
CN104924153A (en) * 2014-03-20 2015-09-23 罗伯特·博世有限公司 Simplified user operation of tool
CN106041377A (en) * 2016-08-12 2016-10-26 广东省自动化研究所 Intelligent and compact type welding line visual tracking system
CN106625029A (en) * 2016-12-27 2017-05-10 天津市天门进保科技有限公司 Cutter presetting and measuring device with automatic imaging system
CN106679726A (en) * 2017-01-12 2017-05-17 苏州美克美斯自动化科技有限公司 Omni-directional visual testing imaging device
CN107561088A (en) * 2017-09-12 2018-01-09 张家港科康智能科技有限公司 A kind of vision Ce Jian mechanisms
CN108437223A (en) * 2018-05-28 2018-08-24 湖北雄华科技有限公司 A kind of high-precision hollow glass cutting grinding device
CN108581634A (en) * 2018-04-14 2018-09-28 曹立静 A kind of portable CNC milling machine tool detection instrument
CN109382924A (en) * 2018-11-30 2019-02-26 上海运韩光电科技有限公司 A kind of optical prism roller machine table of the long-range microscopic observation device of band
CN109724536A (en) * 2019-03-07 2019-05-07 贵州理工学院 A kind of integral type milling cutter contour detecting device and application method
CN109764810A (en) * 2019-02-27 2019-05-17 深圳市圆梦精密技术研究院 Tool dimension automatic checkout equipment
US10429272B2 (en) 2015-09-30 2019-10-01 Caterpillar Inc. Command-driven automatic and semi-automatic mobile wear detection
CN110355607A (en) * 2019-07-08 2019-10-22 东莞理工学院 A kind of vision detection system of the lathe tool state of wear of machining center
CN110549165A (en) * 2018-06-01 2019-12-10 乔治费歇尔加工方案公司 system and method for determining structural characteristics of a machine tool
CN111047578A (en) * 2019-12-12 2020-04-21 深圳精匠云创科技有限公司 Cutter detection device and detection method thereof
CN111730411A (en) * 2020-06-17 2020-10-02 雅视特科技(杭州)有限公司 Cutter vision automatic detection system and operation method thereof
CN111812107A (en) * 2020-05-28 2020-10-23 苏州索尔达动力科技有限公司 Flat copper wire stator hairpin end welding automatic detection device system
CN111823471A (en) * 2020-07-21 2020-10-27 上海发那科机器人有限公司 Automatic cavity foaming visual positioning device and automatic foaming method
CN112045497A (en) * 2020-08-19 2020-12-08 宁波三韩合金材料有限公司 Full-automatic cutter focusing on-machine detection system and method based on machine vision
CN114425719A (en) * 2021-12-15 2022-05-03 哈尔滨理工大学 Ball end mill detection device and method based on CCD camera
TWI788505B (en) * 2018-01-16 2023-01-01 日商迪思科股份有限公司 Cutting knife management method and cutting device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4748571A (en) * 1987-01-20 1988-05-31 Fmc Corporation Line-up vision system
JPH08257876A (en) * 1995-03-24 1996-10-08 Toshiba Mach Co Ltd Tool wearing amount automatic measuring method and tool wearing amount automatic measuring device in machine tool
CN201107639Y (en) * 2007-11-30 2008-08-27 华南理工大学 Large-sized producing workpiece geometric measuring apparatus using machine vision
CN101879691A (en) * 2010-06-25 2010-11-10 北京航空航天大学 Abrasion detection device of mixed type rotary cutter
CN202144032U (en) * 2011-05-03 2012-02-15 西安理工大学 Visual detection device of tool wear state
CN202804813U (en) * 2012-08-27 2013-03-20 华南理工大学 Machine tool cutter in-situ testing system based on machine vision

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4748571A (en) * 1987-01-20 1988-05-31 Fmc Corporation Line-up vision system
JPH08257876A (en) * 1995-03-24 1996-10-08 Toshiba Mach Co Ltd Tool wearing amount automatic measuring method and tool wearing amount automatic measuring device in machine tool
CN201107639Y (en) * 2007-11-30 2008-08-27 华南理工大学 Large-sized producing workpiece geometric measuring apparatus using machine vision
CN101879691A (en) * 2010-06-25 2010-11-10 北京航空航天大学 Abrasion detection device of mixed type rotary cutter
CN202144032U (en) * 2011-05-03 2012-02-15 西安理工大学 Visual detection device of tool wear state
CN202804813U (en) * 2012-08-27 2013-03-20 华南理工大学 Machine tool cutter in-situ testing system based on machine vision

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
谢德浩等: "《基于机器视觉的立铣刀磨损检测》", 《自动化与信息工程》 *

Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103439751B (en) * 2013-09-04 2016-08-17 吴江市博众精工科技有限公司 A kind of testing agency for detecting part whether installation qualification
CN103439751A (en) * 2013-09-04 2013-12-11 吴江市博众精工科技有限公司 Detecting mechanism used for detecting whether installation of parts is qualified
CN103586740A (en) * 2013-10-31 2014-02-19 东华大学 Minuteness and precision machining tool working shape online detection device and method
CN103586740B (en) * 2013-10-31 2016-04-06 东华大学 A kind of fine precision process tool work pattern is at position detecting method
CN104924153A (en) * 2014-03-20 2015-09-23 罗伯特·博世有限公司 Simplified user operation of tool
US10429272B2 (en) 2015-09-30 2019-10-01 Caterpillar Inc. Command-driven automatic and semi-automatic mobile wear detection
CN106041377A (en) * 2016-08-12 2016-10-26 广东省自动化研究所 Intelligent and compact type welding line visual tracking system
CN106625029A (en) * 2016-12-27 2017-05-10 天津市天门进保科技有限公司 Cutter presetting and measuring device with automatic imaging system
CN106679726A (en) * 2017-01-12 2017-05-17 苏州美克美斯自动化科技有限公司 Omni-directional visual testing imaging device
CN107561088A (en) * 2017-09-12 2018-01-09 张家港科康智能科技有限公司 A kind of vision Ce Jian mechanisms
TWI788505B (en) * 2018-01-16 2023-01-01 日商迪思科股份有限公司 Cutting knife management method and cutting device
CN108581634A (en) * 2018-04-14 2018-09-28 曹立静 A kind of portable CNC milling machine tool detection instrument
CN108437223A (en) * 2018-05-28 2018-08-24 湖北雄华科技有限公司 A kind of high-precision hollow glass cutting grinding device
CN110549165A (en) * 2018-06-01 2019-12-10 乔治费歇尔加工方案公司 system and method for determining structural characteristics of a machine tool
CN109382924A (en) * 2018-11-30 2019-02-26 上海运韩光电科技有限公司 A kind of optical prism roller machine table of the long-range microscopic observation device of band
CN109764810A (en) * 2019-02-27 2019-05-17 深圳市圆梦精密技术研究院 Tool dimension automatic checkout equipment
CN109724536A (en) * 2019-03-07 2019-05-07 贵州理工学院 A kind of integral type milling cutter contour detecting device and application method
CN110355607A (en) * 2019-07-08 2019-10-22 东莞理工学院 A kind of vision detection system of the lathe tool state of wear of machining center
CN111047578A (en) * 2019-12-12 2020-04-21 深圳精匠云创科技有限公司 Cutter detection device and detection method thereof
CN111047578B (en) * 2019-12-12 2023-07-18 深圳精匠云创科技有限公司 Tool detection device and detection method thereof
CN111812107A (en) * 2020-05-28 2020-10-23 苏州索尔达动力科技有限公司 Flat copper wire stator hairpin end welding automatic detection device system
CN111730411A (en) * 2020-06-17 2020-10-02 雅视特科技(杭州)有限公司 Cutter vision automatic detection system and operation method thereof
CN111730411B (en) * 2020-06-17 2023-03-14 雅视特科技(杭州)有限公司 Cutter vision automatic detection system and operation method thereof
CN111823471A (en) * 2020-07-21 2020-10-27 上海发那科机器人有限公司 Automatic cavity foaming visual positioning device and automatic foaming method
CN112045497A (en) * 2020-08-19 2020-12-08 宁波三韩合金材料有限公司 Full-automatic cutter focusing on-machine detection system and method based on machine vision
CN112045497B (en) * 2020-08-19 2021-08-31 宁波三韩合金材料有限公司 Full-automatic cutter focusing on-machine detection system and method based on machine vision
CN114425719A (en) * 2021-12-15 2022-05-03 哈尔滨理工大学 Ball end mill detection device and method based on CCD camera
CN114425719B (en) * 2021-12-15 2023-12-26 哈尔滨理工大学 Ball end milling cutter detection device and method based on CCD camera

Also Published As

Publication number Publication date
CN102825505B (en) 2014-12-03

Similar Documents

Publication Publication Date Title
CN102825505B (en) Online detecting system of machine tool cutters based on machine vision
CN108655826B (en) Cutter abrasion visual inspection device and visual inspection method for numerical control turning
CN202804813U (en) Machine tool cutter in-situ testing system based on machine vision
CN103439088B (en) The method and apparatus of directional light is produced with convex lens
CN109187249B (en) On-machine vision detection method and detection device for rotary cutter
CN102699359B (en) Tool setting device and method for micro lathe
CN201787926U (en) On-line solder paste printing detection device
CN107717631B (en) A kind of HSC Milling Tools abrasion automatic monitoring method
CN103480991B (en) Thin steel plate narrow welding joint online visual inspection and control device
CN102221550B (en) Apparatus for acquiring images of rock core and rock debris, method for acquiring and processing images
CN109702290B (en) Steel plate groove cutting method based on visual identification
CN103008881A (en) Seam tracking method based on template matching
CN101797665A (en) Visual detection sensing unit
CN107160241B (en) A kind of vision positioning system and method based on numerically-controlled machine tool
US20220101511A1 (en) System and method utilizing multi-point autofocus to align an optical axis of an optical assembly portion to be normal to a workpiece surface
CN113752088A (en) Tool magazine integrated type tool damage detection system and method based on machine vision
CN111266254A (en) Automatic tracking dispensing equipment based on assembly line
CN110253339B (en) Integral spiral milling cutter grinding damage image acquisition device and method based on machine vision
CN110842683A (en) Welding seam grinding device and system based on machine vision
JP5483305B2 (en) Dimension measuring apparatus and workpiece manufacturing method
CN103084927B (en) A kind of on-line measurement system and On-line Measuring Method thereof
CN207840422U (en) A kind of CCD capture auto-focusing Repair Welding Machine
CN111993154B (en) Positioning method and positioning system for numerical control tool turret
CN208438057U (en) A kind of tool wear visual examination device for numerical control workshop
CN106670652A (en) Laser coaxial processing device and method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20141203

Termination date: 20200827