CN103175848B - Relative centrifugal force (RCF) type online milling cutter blade breakage detection method - Google Patents
Relative centrifugal force (RCF) type online milling cutter blade breakage detection method Download PDFInfo
- Publication number
- CN103175848B CN103175848B CN201310047507.8A CN201310047507A CN103175848B CN 103175848 B CN103175848 B CN 103175848B CN 201310047507 A CN201310047507 A CN 201310047507A CN 103175848 B CN103175848 B CN 103175848B
- Authority
- CN
- China
- Prior art keywords
- milling cutter
- rcf
- seating space
- roller seating
- angle
- 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.)
- Expired - Fee Related
Links
Abstract
The invention discloses a relative centrifugal force (RCF) type online milling cutter blade breakage detection method and relates to the field of automatic detection of RCF type milling cutter blade breakage machine vision. The RCF type online milling cutter blade breakage detection method which is simple in algorithm, high in accuracy and high in speed is provided, and the automatic detection on the RCF type milling cutter blade breakage is achieved. The detection device is provided with a milling cutter rotating platform and a visual inspection system, wherein the milling cutter rotating platform is provided with a base, a working chuck, a double-end stepping motor and a rotary encoder; and the visual inspection system is provided with a plane light source, a camera and a computer. The method comprises the following stages: 1) preparation; and 2) automatic detection. The RCF type milling cutter high-quality imaging and high-accuracy automatic detection and breakage counting and display of the milling cutter blade breakage can be achieved, and the method has outstanding advantages of simple algorithm, high accuracy, high speed and the like and can meet the RCF type milling cutter blade breakage detection requirements and the detection requirements aiming at the characteristics of small size, complex appearance and the like.
Description
Technical field
The present invention relates generally to RCF type milling cutter blade and collapses the automatic detection field of scarce machine vision, especially relates to a kind of RCF type milling cutter blade and collapses scarce online test method.
Background technology
RCF type milling cutter is machining tool the most frequently used in PCB processing, and the detection of its presentation quality is most important.How collapsing to lack to RCF type milling cutter blade on automatic production line and detect fast and accurately, is the important technology difficult problem being directly connected to cutter quality and development thereof.This Detection task is still completed by manual type at present, and efficiency is low, accuracy rate is low, workload is large.
Machine vision is the visual performance realizing people with computing machine, namely replaces human eye detect and judge with machine.Detection technique based on machine vision have flexible, precision is high, speed is fast, robotization and intelligent level advantages of higher.
Chinese patent CN200958939Y discloses a kind of checkout gear of milling cutter, adopt camera and the display of one group vertical and radial arrangement, adopt the mode of artificial cognition, achieve the detection of milling cutter geometric parameter and blade breach etc., the mode not introducing visual pattern process realizes robotization.
Chinese patent 102564314A provides a kind of orthogonal vision detection system for detecting wear condition of end mill, achieves cutter wear vision-based detection.
Chinese patent 102501140A provides a kind of rose cutter to locate and wear monitoring method, achieves the Machine Vision Detection of rose cutter location and wearing and tearing.Above patent, the blade Aulomatizeted Detect of all unrealized RCF type milling cutter.
RCF type milling cutter blade collapses scarce on-line checkingi, its detected object has following characteristics: 1. milling cutter is columnar object, in single camera vision system, one time image acquisition cannot cover milling cutter full surface, and RCF type milling cutter physical dimension is less, the vision system of common resolution and simple algorithm cannot reach very high accuracy rate; 2.RCF type milling cutter is fish scale shape tooth, and outward appearance is complicated, require strict, and tested RCF type milling cutter comprises various outer diameter specification to lighting system, and during geometric parameter change, gained image is different, requires higher to image processing algorithm adaptability.How completing that the high-quality imaging of RCF type milling cutter and high-accuracy detect is the problem needing to solve.
Summary of the invention
The object of the invention is to collapse scarce testing requirement and the feature that its size is little, outward appearance is complicated for RCF type milling cutter blade, there is provided that algorithm is simple, accuracy is high, fireballing a kind of RCF type milling cutter blade collapses scarce online test method, complete RCF type milling cutter blade and collapse scarce automatic detection.
The present invention adopts following technical scheme:
A kind of RCF type milling cutter blade collapses scarce online test method, and the pick-up unit used is provided with milling cutter rotation platform and vision detection system;
Milling cutter rotation platform is provided with base, mounting working chuck, double end stepper motor and rotary encoder; Mounting working chuck is located at base upper end, and base lower end is located at by double end stepper motor, and stepper motor one end output terminal is connected with mounting working chuck, and stepper motor other end output terminal is connected with rotary encoder.
Vision detection system is provided with planar light source, video camera and computing machine; Planar light source is located at described mounting working chuck side, the middle vertical plane of planar light source overlaps with the axial line of described mounting working chuck, described mounting working chuck side is located at by video camera, and the angle between camera optical axis and the middle vertical plane of planar light source is 40 ° ~ 60 °, and video camera is connected with computer data.
A kind of RCF type milling cutter blade collapses scarce online test method, adopts above-mentioned detection device, comprises with next stage and step:
1) preparatory stage
A) milling cutter to be checked is fixed in mounting working chuck;
B) mix up video camera focusing, ensure that the central axis direction of milling cutter is parallel with video camera X-direction, fixed cameras;
C) regulate the angle of planar light source middle vertical plane and camera optical axis, make milling cutter roller seating space regional imaging best results in gathered image, fixed pan light source;
2) automatic detection-phase
D) pick-up unit energising, comprise motor, rotary encoder, video camera and planar light source, open the setting trace routine in computing machine, pick-up unit enters automatic testing environment;
E) in the corresponding man-machine interactively interface of trace routine, input the standard geometric parameter of milling cutter and preserve, comprising left-handed angle, dextrorotation angle, adjacent teeth spacing (coordinate difference), the facewidth, roller seating space are dark;
F) planar light source, video camera is opened;
G) start stepper motor, milling cutter is rotated, rotary encoder toggling camera gathers image and is transferred to computer processor;
H) computer processor extracts all roller seating space regions of milling cutter according to half-tone information, obtains roller seating space region all coordinates, using the minimum point of row coordinate as milling cutter high order end roller seating space area starting point;
I) according to the known left-handed angle of milling cutter and dextrorotation angle, with high order end roller seating space area starting point for benchmark, a left-handed line and a dextrorotation line is done;
J) according to the milling cutter adjacent teeth pitch information above-mentioned left-handed line of translation and dextrorotation line respectively, obtain many left-handed lines and dextrorotation line, and calculate its intersecting point coordinate, this intersecting point coordinate is milling cutter roller seating space place approximate location;
K) be that benchmark is ROI with intersecting point coordinate, the intersection point of the sub-pixel edge on each roller seating space institute open-angle of milling cutter two limits, location, the i.e. forward foot in a step point of roller seating space;
L) with forward foot in a step point for benchmark, deeply convince that breath does milling cutter blade region, rectangle location according to milling cutter dextrorotation angle, the facewidth, roller seating space: towards milling cutter shank direction, along the point that milling cutter dextrorotation line search and roller seating space forward foot in a step point distance are facewidth half, as center, dextrorotation angle is inclination angle, the facewidth is length, and roller seating space does rectangle for width deeply, i.e. milling cutter blade region;
If m) this blade regional center coordinate Already in recorded being detected collapse in scarce blade regional center coordinate, then illustrate that this blade region is tested in this rotary course, jump into image acquisition processing next time, otherwise enter next step;
N) according to half-tone information, collapse territory, missing plot at blade extracted region milling cutter, collapse scarce count update, and scarce milling cutter blade regional center coordinate is collapsed in record existence;
O) within one week, rotated rear output milling cutter and collapsed scarce number, stopped image acquisition, closed stepper motor, chuck folder pine, takes out milling cutter, terminates this and detects.
In the step g) of automatic detection-phase, described rotary encoder toggling camera gathers image, and its feature is: milling cutter at the uniform velocity rotates a circle in process, and rotary encoder sends recurrent pulses, toggling camera timing acquiring multiple image, reaches and covers milling cutter all surfaces.
Compared with the prior art, beneficial effect of the present invention is as follows:
Owing to adopting technique scheme, the present invention can complete the high-quality imaging of RCF type milling cutter and milling cutter blade collapses scarce high-accuracy Aulomatizeted Detect and collapses scarce counting and display.There is the outstanding advantages such as algorithm is simple, accuracy is high, speed is fast, and the testing requirement collapsing the features such as scarce testing requirement is little with its size, outward appearance is complicated for RCF type milling cutter blade can be adapted to.
Accompanying drawing explanation
Fig. 1 is the milling cutter rotating platform structure schematic diagram (side view) in the pick-up unit that uses of the embodiment of the present invention.
Fig. 2 is the vision detection system structural representation (vertical view) in the pick-up unit that uses of the embodiment of the present invention.
Fig. 3 is the detection algorithm process flow diagram of the vision detection system of the embodiment of the present invention.
Embodiment
See Fig. 1 and 2, the pick-up unit that the embodiment of the present invention uses is provided with milling cutter rotation platform and vision detection system;
Milling cutter rotation platform is provided with base 3, mounting working chuck 2, double end stepper motor 4 and rotary encoder 5, and label 1 is milling cutter to be checked.Mounting working chuck 2 is located at base 3 upper end, and base 3 lower end is located at by double end stepper motor 4, and double end stepper motor 4 one end output terminal is connected with mounting working chuck 2, and double end stepper motor 4 other end output terminal is connected with rotary encoder 5.
Vision detection system is provided with planar light source 6, video camera 7 and computing machine 8; Planar light source 6 is located at described mounting working chuck side (i.e. milling cutter 1 side to be checked), the middle vertical plane of planar light source 6 overlaps with the axial line of described mounting working chuck 2, described mounting working chuck 2 side is located at by video camera 7, angle between the middle vertical plane of video camera 7 optical axis and planar light source 2 is 50 ° (can be 40 ° ~ 60 °), provides dark field detection environment.Video camera 7 is connected with computing machine 8 data communication.
Be online test method described in the embodiment of the present invention, adopt above-mentioned detection device, comprise with next stage and step:
1) preparatory stage
A) milling cutter to be checked is fixed in mounting working chuck;
B) mix up video camera focusing, ensure that the central axis direction of milling cutter is parallel with video camera X-direction, fixed cameras;
C) regulate the angle of planar light source middle vertical plane and camera optical axis, make milling cutter roller seating space regional imaging best results in gathered image, fixed pan light source;
2) automatic detection-phase
D) pick-up unit energising, comprise motor, rotary encoder, video camera and planar light source, open the setting trace routine in computing machine, pick-up unit enters automatic testing environment;
E) in the corresponding man-machine interactively interface of trace routine, input the standard geometric parameter of milling cutter and preserve, comprising left-handed angle, dextrorotation angle, adjacent teeth spacing (coordinate difference), the facewidth, roller seating space are dark;
F) planar light source, video camera is opened;
G) start stepper motor, milling cutter is rotated, rotary encoder toggling camera gathers image and is transferred to computer processor;
H) computer processor extracts all roller seating space regions of milling cutter according to half-tone information, obtains roller seating space region all coordinates, using the minimum point of row coordinate as milling cutter high order end roller seating space area starting point;
I) according to the known left-handed angle of milling cutter and dextrorotation angle, with high order end roller seating space area starting point for benchmark, a left-handed line and a dextrorotation line is done;
J) according to the milling cutter adjacent teeth pitch information above-mentioned left-handed line of translation and dextrorotation line respectively, obtain many left-handed lines and dextrorotation line, and calculate its intersecting point coordinate, this intersecting point coordinate is milling cutter roller seating space place approximate location;
K) be that benchmark is ROI with intersecting point coordinate, the intersection point of the sub-pixel edge on each roller seating space institute open-angle of milling cutter two limits, location, the i.e. forward foot in a step point of roller seating space;
L) with forward foot in a step point for benchmark, deeply convince that breath does milling cutter blade region, rectangle location according to milling cutter dextrorotation angle, the facewidth, roller seating space: towards milling cutter shank direction, along the point that milling cutter dextrorotation line search and roller seating space forward foot in a step point distance are facewidth half, as center, dextrorotation angle is inclination angle, the facewidth is length, and roller seating space does rectangle for width deeply, i.e. milling cutter blade region;
If m) this blade regional center coordinate Already in recorded being detected collapse in scarce blade regional center coordinate, then illustrate that this blade region is tested in this rotary course, jump into image acquisition processing next time, otherwise enter next step;
N) according to half-tone information, collapse territory, missing plot at blade extracted region milling cutter, collapse scarce count update, and scarce milling cutter blade regional center coordinate is collapsed in record existence;
O) within one week, rotated rear output milling cutter and collapsed scarce number, stopped image acquisition, closed stepper motor, chuck folder pine, takes out milling cutter, terminates this and detects.
In the step g) of automatic detection-phase, described rotary encoder toggling camera gathers image, and its feature is: milling cutter at the uniform velocity rotates a circle in process, and rotary encoder sends recurrent pulses, toggling camera timing acquiring multiple image, reaches and covers milling cutter all surfaces.
Claims (2)
1. RCF type milling cutter blade collapses a scarce online test method, it is characterized in that, the pick-up unit used is provided with milling cutter rotation platform and vision detection system;
Milling cutter rotation platform is provided with base, mounting working chuck, double end stepper motor and rotary encoder; Mounting working chuck is located at base upper end, and base lower end is located at by double end stepper motor, and stepper motor one end output terminal is connected with mounting working chuck, and stepper motor other end output terminal is connected with rotary encoder;
Vision detection system is provided with planar light source, video camera and computing machine; Planar light source is located at described mounting working chuck side, the middle vertical plane of planar light source overlaps with the axial line of described mounting working chuck, described mounting working chuck side is located at by video camera, angle between camera optical axis and the middle vertical plane of planar light source is 40 ° ~ 60 °, there is provided dark field detection environment, video camera is connected with computer data;
Described online test method comprises with next stage and step:
1) preparatory stage
A) milling cutter to be checked is fixed in mounting working chuck;
B) mix up video camera focusing, ensure that the central axis direction of milling cutter is parallel with video camera X-direction, fixed cameras;
C) regulate the angle of planar light source middle vertical plane and camera optical axis, make milling cutter roller seating space regional imaging best results in gathered image, fixed pan light source;
2) automatic detection-phase
D) pick-up unit energising, comprise motor, rotary encoder, video camera and planar light source, open the setting trace routine in computing machine, pick-up unit enters automatic testing environment;
E) in the corresponding man-machine interactively interface of trace routine, input the standard geometric parameter of milling cutter and preserve, comprising left-handed angle, dextrorotation angle, adjacent teeth spacing (coordinate difference), the facewidth, roller seating space are dark;
F) planar light source, video camera is opened;
G) start stepper motor, milling cutter is rotated, rotary encoder toggling camera gathers image and is transferred to computer processor;
H) computer processor extracts all roller seating space regions of milling cutter according to half-tone information, obtains roller seating space region all coordinates, using the minimum point of row coordinate as milling cutter high order end roller seating space area starting point;
I) according to the known left-handed angle of milling cutter and dextrorotation angle, with high order end roller seating space area starting point for benchmark, a left-handed line and a dextrorotation line is done;
J) according to the milling cutter adjacent teeth pitch information above-mentioned left-handed line of translation and dextrorotation line respectively, obtain many left-handed lines and dextrorotation line, and calculate its intersecting point coordinate, this intersecting point coordinate is milling cutter roller seating space place approximate location;
K) be that benchmark is ROI with intersecting point coordinate, the intersection point of the sub-pixel edge on each roller seating space institute open-angle of milling cutter two limits, location, the i.e. forward foot in a step point of roller seating space;
L) with forward foot in a step point for benchmark, deeply convince that breath does milling cutter blade region, rectangle location according to milling cutter dextrorotation angle, the facewidth, roller seating space: towards milling cutter shank direction, along the point that milling cutter dextrorotation line search and roller seating space forward foot in a step point distance are facewidth half, as center, dextrorotation angle is inclination angle, the facewidth is length, and roller seating space does rectangle for width deeply, i.e. milling cutter blade region;
If m) this blade regional center coordinate Already in recorded being detected collapse in scarce blade regional center coordinate, then illustrate that this blade region is tested in this rotary course, jump into image acquisition processing next time, otherwise enter next step;
N) according to half-tone information, collapse territory, missing plot at blade extracted region milling cutter, collapse scarce count update, and scarce milling cutter blade regional center coordinate is collapsed in record existence;
O) within one week, rotated rear output milling cutter and collapsed scarce number, stopped image acquisition, closed stepper motor, chuck folder pine, takes out milling cutter, terminates this and detects.
2. a kind of RCF type milling cutter blade as claimed in claim 1 collapses scarce online test method, it is characterized in that, step g at automatic detection-phase) in, described rotary encoder toggling camera gathers image, that milling cutter at the uniform velocity rotates a circle in process, rotary encoder sends recurrent pulses, toggling camera timing acquiring multiple image, reaches and covers milling cutter all surfaces.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310047507.8A CN103175848B (en) | 2013-02-05 | 2013-02-05 | Relative centrifugal force (RCF) type online milling cutter blade breakage detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310047507.8A CN103175848B (en) | 2013-02-05 | 2013-02-05 | Relative centrifugal force (RCF) type online milling cutter blade breakage detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103175848A CN103175848A (en) | 2013-06-26 |
| CN103175848B true CN103175848B (en) | 2015-01-14 |
Family
ID=48635850
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310047507.8A Expired - Fee Related CN103175848B (en) | 2013-02-05 | 2013-02-05 | Relative centrifugal force (RCF) type online milling cutter blade breakage detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103175848B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114754820B (en) * | 2022-04-25 | 2024-03-19 | 东莞市睿华智能科技有限公司 | Full parameter detection integrated equipment for PCB milling cutter |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IL63781A (en) * | 1980-09-19 | 1985-03-31 | Trw Inc | System for defect analysis in manufactured parts such as turbine blades |
| EP0066187B1 (en) * | 1981-05-22 | 1985-12-04 | Kabushiki Kaisha Toshiba | An image density detecting device for image forming apparatus |
| US7105848B2 (en) * | 2002-04-15 | 2006-09-12 | Wintriss Engineering Corporation | Dual level out-of-focus light source for amplification of defects on a surface |
| JP4024832B1 (en) * | 2007-05-28 | 2007-12-19 | 株式会社リミックスポイント | Drill inspection apparatus, drill inspection method, and program thereof |
| CN101532926A (en) * | 2008-12-12 | 2009-09-16 | 齐齐哈尔华工机床制造有限公司 | On-line vision detecting system for automatic impact specimen processing device and image processing method thereof |
| CN101693347B (en) * | 2009-10-23 | 2013-05-15 | 沈阳工业大学 | Rotating cutter on-line measurement method based on image processing |
| CN102501140B (en) * | 2011-11-22 | 2013-11-06 | 南京航空航天大学 | Method for positioning and monitoring wear of ball nose end mill cutter |
| CN102564314B (en) * | 2011-12-06 | 2014-04-16 | 上海交通大学 | Orthogonal vision detection system for detecting wear condition of end mill |
-
2013
- 2013-02-05 CN CN201310047507.8A patent/CN103175848B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN103175848A (en) | 2013-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102501140B (en) | Method for positioning and monitoring wear of ball nose end mill cutter | |
| CN104315978B (en) | A kind of measuring method and device of pipeline end face center point | |
| CN102818544B (en) | On-line measurement method for pitch circle center of automobile hub bolt hole and central eccentric distance of central hole | |
| CN105548217B (en) | The appearance delection device and detection method of flat glass coated article | |
| CN101532926A (en) | On-line vision detecting system for automatic impact specimen processing device and image processing method thereof | |
| CN107133983B (en) | Bundled round steel end face binocular vision system and space orientation and method of counting | |
| CN103335602B (en) | A kind of light veil type axial workpiece multi-work-station multiparameter high-precision measuring method and device | |
| CN107742289A (en) | One kind is based on machine vision revolving body workpieces detection method | |
| CN103617611A (en) | Automatic threshold segmentation detection method for center and size of light spot | |
| CN104614803B (en) | Integrated polarization-preserving fiber axis fixing instrument based on ARM | |
| CN104089586A (en) | Image detection device and method of engine crankshaft journal shape errors | |
| CN107121061B (en) | A kind of drilling point law vector method for solving based on elliptic cone constraint | |
| CN106175780A (en) | Facial muscle motion-captured analysis system and the method for analysis thereof | |
| CN108787489A (en) | A kind of recognition detection system of full automatic lamp detecting machine | |
| CN106643537B (en) | Bearing oil duct method for automatic measurement based on structure light | |
| CN103175848B (en) | Relative centrifugal force (RCF) type online milling cutter blade breakage detection method | |
| CN108520260A (en) | The recognition methods of visible foreign matters in bottled oral solution | |
| CN103084927B (en) | A kind of on-line measurement system and On-line Measuring Method thereof | |
| CN101941537A (en) | Instant noodles bowl self-aligning detection method and instrument based on machine vision | |
| CN106814074B (en) | A kind of cladding nuclear fuels surface defects detection system and method | |
| CN207366475U (en) | A kind of relief pattern Online Video detection device | |
| CN106767425A (en) | A kind of vision measuring method of bearing snap spring gap | |
| CN103769975B (en) | A kind of marker method for optical polishing process | |
| CN202522204U (en) | Measuring device for equal thickness interference experiment | |
| CN203077013U (en) | On-line measurement system |
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 |
Granted publication date: 20150114 Termination date: 20210205 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |