CN102809565A - Method for detecting quality of cutting surface of lost foam - Google Patents
Method for detecting quality of cutting surface of lost foam Download PDFInfo
- Publication number
- CN102809565A CN102809565A CN2012103116833A CN201210311683A CN102809565A CN 102809565 A CN102809565 A CN 102809565A CN 2012103116833 A CN2012103116833 A CN 2012103116833A CN 201210311683 A CN201210311683 A CN 201210311683A CN 102809565 A CN102809565 A CN 102809565A
- Authority
- CN
- China
- Prior art keywords
- lost foam
- cutting
- image
- area
- quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses a method for detecting the quality of a cutting surface of a lost foam and relates to a casting process, in particular to a technology for detecting the surface processing quality of the lost foam in the technical field of the casting process employing the lost foam. An image is acquired by using a high-accuracy charge coupled device (CCD) camera and input into a computer, and gray level is adjusted to a specific parameter by secondary gray processing, so analysis requirements of special image processing software are met, the image processing software can automatically identify an edge image of each recessed particle, the area of each recessed particle is gradually calculated, total recess area is calculated, and a ratio of the total recess area to total cutting area is obtained. By the invention, a quantification standard is provided for the quality of the cutting surface of the lost foam, the improvement on a lost foam numerical control technology is facilitated, the improvement on a lost foam surface cutting technology is facilitated, and process equipment is convenient to carry and convenient to operate.
Description
Technical field
The present invention relates to casting technique, particularly adopt the detection technique of disappearance mould suface processing quality in the Casting Technology field of disappearance mould.
Background technology
The lost foam casting technology is by the increasing production that is used for high-accuracy metalwork.Disappearance mould foam is to be formed by a large amount of vesicle foam particle bond, is taken out of by milling cutter is whole when have a collection of skewness foam beads when carrying out high-speed cutting to disappearance mould surface, thereby forms the particle depression.Traditional disappearance mould die production is to produce the metal die that is complementary with disappearance mould mould earlier, makes the disappearance mould again, and this development at new product not only can consume great amount of time and cost, also is unfavorable for the modification of product.
In recent years, the mould die production that disappears both at home and abroad producer adopted Numeric Control Technology that disappearance mould mould is directly processed, and had so not only saved the cost and the time of making metal die, had also improved the precision that disappearance mould mould is made simultaneously.But how to detect the disappearance cross cutting and cut surface quality, still do not have a kind of unified method at home and abroad.
The manufactured materials of disappearance mould is a high-polystyrene, be the relative metal material of a kind of quality soft many uneven macromolecular materials, the probe of traditional roughness pick-up unit can't be in its surface work.Detect through test, the principal element that influences disappearance mould die surface quality is the surface particles sinking degree that the disappearance cross cutting is cut processing.At present, the assessment technology of cutting surface quality to the disappearance cross cutting is still blank at home.
Summary of the invention
The present invention seeks to propose the detection method that a kind of cross cutting that disappears is cut surface quality.
Scheme step of the present invention is:
1) gathers the black white image that complete disappearance cross cutting is cut the surface through CCD camera;
2) black white image that collects being carried out the secondary gray scale through computing machine gray scale disposal system to image handles;
3) with the image input picture process software of handling well, find the edge pixel of each depression points and calculate the notch area of corresponding single depression points, calculate the total area of all depression points and the ratio that complete disappearance cross cutting is cut surface area.
The present invention accomplishes IMAQ by the high CCD camera of precision; With the image input computer that collects; Handle through the secondary gray scale; Thereby gray scale is adjusted to the analysis requirement that a specific parameter reaches the special image process software, thus image processing software can according in advance the design gray-scale value discern automatically the depression particle the edge picture calculate single depression particle area one by one and calculate total notch area, finally draw the ratio of total notch area with total area cut.
The present invention cuts the standard that surface quality provides a kind of quantification for the disappearance cross cutting, and the raising of the modulus control process technology that helps disappearing helps to improve disappearance mould surfacing cut technology; In addition; The present invention only needs the scene to carry CCD camera to get final product, and the adopting process equipment is simple, easy to operate, be easy to carry.
The camera of control CCD camera and the distance of cutting surface are 20mm.The image of the particle recess of obtaining is the same with the gradation of image of flat surface.
Embodiment
The disappearance mould that the surfacing cut of learning from else's experience is handled, carry out quality testing to one of them surface:
1, the camera of control CCD camera and the distance of cutting surface are 20mm, cut the black white image of performance depression through the complete disappearance cross cutting in this surface of CCD camera collection.
2, with the black white image input computing machine that collects,, image is carried out the secondary gray scale handle, make it satisfy the processing requirements of image processing software through computing machine.
3, with the image input picture process software of handling well; Software can find the edge pixel of single depression points automatically and calculate the notch area of single depression points; Image is carried out re-treatment; Thereby calculate the total area of depression points, calculate the ratio of total notch area at last with total area of cut.
4, judge: when the above-mentioned ratio of obtaining was lower than the setup parameter value, the mould that then disappears satisfied the casting requirement at this surperficial cutting quality; When the above-mentioned ratio of obtaining exceeded the setup parameter value, the mould that then disappears did not meet the casting requirement at this surperficial cutting quality.
Claims (2)
1. the cross cutting that disappears is cut the detection method of surface quality, it is characterized in that may further comprise the steps:
1) gathers the black white image that complete disappearance cross cutting is cut the surface through CCD camera;
2) black white image that collects being carried out the secondary gray scale through computing machine gray scale disposal system to image handles;
3) with the image input picture process software of handling well, find the edge pixel of each depression points and calculate the notch area of corresponding single depression points, calculate the total area of all depression points and the ratio that complete disappearance cross cutting is cut surface area.
2. cut the detection method of surface quality according to the said disappearance cross cutting of claim 1, it is characterized in that the camera of CCD camera and the distance of cutting surface are 20mm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2012103116833A CN102809565A (en) | 2012-08-29 | 2012-08-29 | Method for detecting quality of cutting surface of lost foam |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2012103116833A CN102809565A (en) | 2012-08-29 | 2012-08-29 | Method for detecting quality of cutting surface of lost foam |
Publications (1)
Publication Number | Publication Date |
---|---|
CN102809565A true CN102809565A (en) | 2012-12-05 |
Family
ID=47233326
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2012103116833A Pending CN102809565A (en) | 2012-08-29 | 2012-08-29 | Method for detecting quality of cutting surface of lost foam |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102809565A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109359386A (en) * | 2018-10-18 | 2019-02-19 | 昆山鹏帝辉金属有限公司 | Calculation method, method of adjustment and the best setting method of robot grinding efficiency |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6580813B1 (en) * | 1998-08-10 | 2003-06-17 | W. Schlafhorst Ag & Co. | Method and apparatus for detecting residual yarn on spinning cop tubes |
EP1400922A1 (en) * | 2002-09-20 | 2004-03-24 | Nitto Denko Corporation | Print inspection method and apparatus |
CN102621158A (en) * | 2011-07-15 | 2012-08-01 | 苏州谷夫道自动化科技有限公司 | Automatic detection device and method of unqualified magnet ring |
-
2012
- 2012-08-29 CN CN2012103116833A patent/CN102809565A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6580813B1 (en) * | 1998-08-10 | 2003-06-17 | W. Schlafhorst Ag & Co. | Method and apparatus for detecting residual yarn on spinning cop tubes |
EP1400922A1 (en) * | 2002-09-20 | 2004-03-24 | Nitto Denko Corporation | Print inspection method and apparatus |
CN102621158A (en) * | 2011-07-15 | 2012-08-01 | 苏州谷夫道自动化科技有限公司 | Automatic detection device and method of unqualified magnet ring |
Non-Patent Citations (2)
Title |
---|
韩芳芳: "表面缺陷视觉在线监测关键技术研究", 《信息科技辑》 * |
黄述哲等: "消失模铸件质量评定方法", 《中华人民共和国国家标准GB/T 26658-2011》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109359386A (en) * | 2018-10-18 | 2019-02-19 | 昆山鹏帝辉金属有限公司 | Calculation method, method of adjustment and the best setting method of robot grinding efficiency |
CN109359386B (en) * | 2018-10-18 | 2023-04-07 | 昆山鹏帝辉金属有限公司 | Calculation method, adjustment method and optimal setting method for polishing efficiency of robot |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102252611B (en) | Geometric positioning method | |
CN105203025B (en) | Saw blade wear extent On-line Measuring Method based on machine vision | |
CN102496161B (en) | Method for extracting contour of image of printed circuit board (PCB) | |
CN113763350B (en) | Glue line detection method and device, glue line detection equipment and storage medium | |
CN102914545A (en) | Gear defect detection method and system based on computer vision | |
TW200710761A (en) | System and method for three dimensional change detection and measurement of a scene | |
CN105551064A (en) | Method for estimating volume change rate of stacked materials based on image features | |
CN106778779A (en) | A kind of electric injection molding machine mould detection method | |
CN102441581A (en) | Device and method for online detection of section size of profile steel based on machine vision | |
CN111681222A (en) | Automatic detection and judgment method for edge breakage of tool mark and scribing machine applied by same | |
CN104501735A (en) | Method for observing three-dimensional deformation of side slope by utilizing circular marking points | |
CN104931332A (en) | Time-based sheet forming limit determination method | |
CN104897463A (en) | Real-time detection apparatus and real-time detection method of steel-concrete combination member deformation due to force applying | |
CN102074031A (en) | Standard establishment method for observational check machine of printed circuit board | |
CN101514891B (en) | Method for detecting optical photograph of large mold casting blank | |
CN106807801A (en) | A kind of high speed fine machine die surface waste material intelligent on-line detection method and device | |
CN116843631A (en) | 3D visual material separating method for non-standard part stacking in light steel industry | |
CN116258682A (en) | PCB solder paste defect detection method based on PSPNet and improved YOLOv7 | |
Mustaffar et al. | Automated pavement imaging program (APIP) for pavement cracks classification and quantification-a photogrammetric approach | |
CN102809565A (en) | Method for detecting quality of cutting surface of lost foam | |
CN114549412A (en) | Method, device and system for detecting quality of workpiece | |
CN104406491B (en) | Suspension hook based on image recognition technology scraps detection device and its detection method | |
CN116678368B (en) | BIM technology-based intelligent acquisition method for assembled steel structure data | |
CN117102288A (en) | Intelligent shaping processing control method and system based on LSTM model | |
Zhuang et al. | Visual detection of construction and demolition waste using multi-sensor fusion |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20121205 |