CN102023127A - Method for detecting abrasive grain exposure number and abrasive grain exposure height of super-hard grinding tool - Google Patents
Method for detecting abrasive grain exposure number and abrasive grain exposure height of super-hard grinding tool Download PDFInfo
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- CN102023127A CN102023127A CN 201010288361 CN201010288361A CN102023127A CN 102023127 A CN102023127 A CN 102023127A CN 201010288361 CN201010288361 CN 201010288361 CN 201010288361 A CN201010288361 A CN 201010288361A CN 102023127 A CN102023127 A CN 102023127A
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Abstract
The invention discloses a method for detecting abrasive grain exposure number and abrasive grain exposure height of a super-hard grinding tool. A computer, a microscope and a digital camera connected with the microscope form a video image acquisition system. The method comprises the following steps of: after the super-hard grinding tool is used or edged, placing the grinding part of the super-hard grinding tool under the microscope, converting images into digital information by the digital camera, continuously acquiring the images of different parts, and storing the images through the computer; and setting an annular sampling area for the acquired images, and analyzing the abrasive grain exposure height and the abrasive grain exposure number in the annular sampling area. The invention provides a scientific, effective and quick detection method and means for product quality inspection and control, and provides a scientific proof for stabilization and improvement of product quality.
Description
Technical field
The invention belongs to the grinding tool detection technique.
Background technology
Super-hard abrasive tool typically refers to adamas or cubic boron nitride and makees the grinding tool that abrasive material is made, and comprises emery wheel, oilstone, cast-cutting saw slice etc.They are by with bond, and for example metallic bond, vitrified bond, resinoid bond etc. with tiny abrasive particle mixing compression moulding, are made through follow-up thermal treatment then.The manufacture process of grinding tool has determined the randomness that abrasive particle distributes in grinding tool.Super-hard abrasive tool working lining surface unit area exposure abrasive particle quantity and abrasive particle proud exposure directly influence the result of use of grinding tool.Exposure abrasive particle quantity and abrasive particle proud exposure are the important indicators that characterizes the grinding tool usability, but at present the detection of this index are not also had a kind of advantages of simplicity and high efficiency detection method.All have the scholar to study both at home and abroad for the abrasive particle proud exposure, the method that is adopted has accurate burnt method, laser triangulation, pin type contourgraph method, interfere type contourgraph method, focuses on synthetic method.In " skive abrasive particle microcosmic goes out the progress of tooth shape looks " literary composition, these methods all there is introduction, this article is published in " adamas and grinding materials and grinding tool engineering " magazine, 2010 the 3rd phases, the 36th page.
Accurate burnt ratio juris is to utilize the focusing knob of microscope band scale, is focused respectively in exposure abrasive particle summit and bottom, and the difference of twice focusing scale is the abrasive particle proud exposure; Laser triangulation be with laser beam with specific angular illumination to the exposure abrasive particle, gather diffuse reflection of laser information, by computing machine exposure abrasive particle pattern is carried out three-dimensionalreconstruction according to reflective information, finally calculate the abrasive particle proud exposure; Pin type contourgraph method is to utilize probe tip to contact with the exposure abrasive particle and move, and signal is handled calculating the abrasive particle proud exposure by computing machine; Interfere type contourgraph method is according to the interference of light principle, utilizes optical path difference information to carry out three-dimensionalreconstruction, finally calculates the abrasive particle proud exposure; Focus on synthetic method, this method is to utilize videomicroscopy focusing principle and three-dimensionalreconstruction technology, to the exposure abrasive particle at " Z " direction of principal axis, abrasive particle proud exposure direction just, gather several two dimensional image, utilize the 3-D view of computer reconstruction exposure abrasive particle again, finally calculate the abrasive particle proud exposure.
The characteristics and the deficiency of said method are respectively: the accurate burnt method characteristics of microscope, small investment, simple to operate, shortcoming are that subjectivity is too strong, test accuracy and poor stability, and efficient is low; Laser triangulation, measuring accuracy is low, can only be used for coarse particle measures, and laser side head costliness, can not carry out commercial Application; Pin type contourgraph method belongs to contact type measurement, and measuring accuracy is low, measuring speed is slow, and probe is easy to wear.Interfere type contourgraph method, the measuring accuracy height, technical sophistication, instrument costs an arm and a leg, and is not suitable for industry and applies; Focus on synthetic method, this method ultimate principle is consistent with accurate burnt method, but utilizes computing machine to carry out data processing, has improved testing efficiency.
In addition, the common issue with that said method exists is: do not propose perfect mathematical model, test is random big; Because exposure abrasive particle bottom is uneven, necessary artificial stipulated standard face, the test result human factor is big, poor stability; The abrasive particle of unit of analysis area exposure simultaneously quantity; Therefore said method all is not applied to the commercial production check.
Because the singularity of exposure abrasive particle (exposure abrasive particle bottom is uneven, and is difficult to determine reference field) is difficult to measure accurately the abrasive particle proud exposure.As long as provide the abrasive particle proud exposure approximate statistical value and the regularity of distribution to meet the demands in the practical application.
Summary of the invention
The purpose of this invention is to provide a kind of method that detects abrasive particle proud exposure and unit area exposure abrasive particle quantity that is similar to simply, fast and effectively.
In order to achieve the above object by the following technical solutions: the detection method of super-hard abrasive tool exposure abrasive particle quantity and abrasive particle proud exposure, form the video image acquisition system by computing machine, microscope and the digital camera head that links to each other with microscope, gather image and carry out analytical calculation, super-hard abrasive tool is after use or putting the first edge on a knife or a pair of scissors, super-hard abrasive tool grinding position is positioned over microscopically, by digital camera head image transitions is become digital code information, the image of continuous acquisition different parts is stored image by computing machine; To the image setting annulus sample region of gathering, abrasive particle proud exposure in the annulus sample region and exposure abrasive particle quantity are analyzed;
Wherein the detection step for the abrasive particle proud exposure is: it is ball-shaped that abrasive particle is considered as, the part of abrasive particle exposure is considered as spherical crown, proud exposure is equivalent to the height of spherical crown, projection width is equivalent to spherical crown bottom surface diameter, utilize computing machine scale line segment mark and the exposure vertical maximal projection width of maximum length partly, utilize following mathematical model to obtain the abrasive particle proud exposure by COMPUTER CALCULATION then, mathematical model is
Wherein h-represents the abrasive particle proud exposure, and D-represents the basic grain of the abrasive particle particle diameter high limit of size, and B-represents abrasive particle exposure part maximal projection width;
Wherein the detection step for unit area exposure abrasive particle quantity is: at least one annulus sample region is set, with computer mark and write down exposure abrasive particle quantity in the annulus sample region and the radius of this annulus sample region, unit area exposure abrasive particle quantity equals the interior exposure abrasive particle number of annulus sample region divided by annulus sample region area, utilize mathematical model to obtain unit area exposure abrasive particle quantity by COMPUTER CALCULATION then, mathematical model is
Wherein Sn-represents unit area (cm
2) exposure abrasive particle quantity, N-represents annulus sample region exposure abrasive particle quantity, and n-represents annulus sample region quantity, and π-circular constant, R-are represented annulus sample region radius.
At least one annulus sample region is set on a pictures or a plurality of annulus sample region are set on plurality of pictures.
The breadth extreme of described abrasive particle exposure part is and the abrasive particle exposure vertical maximal projection width of maximum length partly.
Adopt detection method of the present invention can detect abrasive particle proud exposure and unit area exposure abrasive particle quantity approximate value fast, for product quality inspection and control provide a kind of scientific and effective method of inspection fast and means, provide the foundation of science for stabilizing and increasing of product quality.The invention has the advantages that, proposed mathematical model, eliminated the randomness of test operation; Exposure projection width is certain, does not need artificial stipulated standard face, the test result good stability; Test operation is simple, the efficient height; The instrument investment is little, and the operative technique difficulty is low; When analyzing the abrasive particle proud exposure, but unit of analysis area exposure abrasive particle quantity; The present invention can be advantageously used in the commercial production check.
Description of drawings
Fig. 1 detects synoptic diagram for unit area exposure abrasive particle quantity of the present invention;
Fig. 2 detects synoptic diagram for abrasive particle proud exposure of the present invention;
Fig. 3 is an abrasive particle proud exposure mathematical modeling synoptic diagram of the present invention;
Fig. 4 is an abrasive particle proud exposure data profile of the present invention.
Embodiment
Embodiment 1
The detection method of a kind of super-hard abrasive tool unit area exposure abrasive particle quantity and abrasive particle proud exposure, the detection method of super-hard abrasive tool exposure abrasive particle quantity and abrasive particle proud exposure, form the video image acquisition system by computing machine, microscope and the digital camera head that links to each other with microscope, gather image and carry out analytical calculation, super-hard abrasive tool is after use or putting the first edge on a knife or a pair of scissors, super-hard abrasive tool grinding position is positioned over microscopically, by digital camera head image transitions is become digital code information, the image of continuous acquisition different parts is stored image by computing machine; To the image setting annulus sample region of gathering, abrasive particle proud exposure in the annulus sample region and exposure abrasive particle quantity are analyzed;
Wherein the detection step for the abrasive particle proud exposure is: it is ball-shaped that abrasive particle is considered as, the part of abrasive particle exposure is considered as spherical crown, proud exposure is equivalent to the height of spherical crown, projection width is equivalent to spherical crown bottom surface diameter, utilize computing machine scale line segment mark and the exposure vertical maximal projection width of maximum length partly, utilize following mathematical model to obtain the abrasive particle proud exposure by COMPUTER CALCULATION then, mathematical model is
Wherein h-represents the abrasive particle proud exposure, and D-represents the basic grain of the abrasive particle particle diameter high limit of size, and B-represents abrasive particle exposure part maximal projection width;
Wherein the detection step for unit area exposure abrasive particle quantity is: at least one annulus sample region is set, with computer mark and write down exposure abrasive particle quantity in the annulus sample region and the radius of this annulus sample region, unit area exposure abrasive particle quantity equals the interior exposure abrasive particle number of annulus sample region divided by annulus sample region area, utilize mathematical model to obtain unit area exposure abrasive particle quantity by COMPUTER CALCULATION then, mathematical model is
Wherein Sn-represents unit area (cm
2) exposure abrasive particle quantity, N-represents annulus sample region exposure abrasive particle quantity, and n-represents annulus sample region quantity, and π-circular constant, R-are represented annulus sample region radius.
At least one annulus sample region is set on a pictures or a plurality of annulus sample region are set on plurality of pictures.It is many more that the annulus sample region is provided with, and the data of coming out are accurate more.
The breadth extreme of described abrasive particle exposure part is and the abrasive particle exposure vertical maximal projection width of maximum length partly.
Adopt detection method of the present invention can detect the proud exposure and the unit area exposure abrasive particle quantity approximate value of abrasive particle fast, for product quality inspection and control provide a kind of scientific and effective method of inspection fast and means.The foundation of science is provided for stabilizing and increasing of product quality.
Method principle and mathematical model: as shown in Figure 1, unit area exposure abrasive particle quantity detects and equals the interior exposure abrasive particle number of annulus sample region divided by annulus sample region area, and the square measure of result data is a square centimeter, and its computational mathematics model is:
Wherein Sn-represents unit area exposure abrasive particle quantity, and N-represents annulus sample region exposure abrasive particle quantity, and n-represents annulus sample region quantity, and π-circular constant, R-are represented annulus sample region radius.
Shown in Fig. 2,3, the abrasive particle proud exposure detects, and supposes that abrasive particle is a ball-shaped, and the diameter of ball equals the particle diameter of abrasive particle, and the exposure of abrasive particle partly is equivalent to spherical crown, and proud exposure is equivalent to the height of spherical crown.Its computational mathematics model is
H-represents the abrasive particle proud exposure in the formula, and D-represents the basic grain of the abrasive particle particle diameter high limit of size, and B-represents exposure part maximal projection width.
Embodiment 2
The detection method of a kind of super-hard abrasive tool unit area exposure abrasive particle quantity and abrasive particle proud exposure is formed the video image acquisition system by computing machine, microscope and the digital camera head that links to each other with microscope, gathers image and carries out analytical calculation.After metal bonded wheel (abrasive grain 325/400) sample put the first edge on a knife or a pair of scissors, be positioned over microscopically and gather 5 width of cloth images.Select an annulus sample region in the middle of every images, annulus sample region radius 342 μ m, 5 width of cloth images select 5 onesize annulus sample region altogether, detect exposure abrasive particle quantity and abrasive particle proud exposure.
Detect exposure abrasive particle quantity,, 5 width of cloth images (n=5) are finished same operation, both finished exposure abrasive particle quantity and detected, detect abrasive particle 246 (N=246) grain altogether with the abrasive particle in the click annulus sample region (R=342).Then according to mathematical model
Both can calculate unit area exposure abrasive particle quantity.
Detect the abrasive particle proud exposure, (the basic grain of this granularity abrasive material high limit of size B=57 μ m) carries out mark one by one to the visual abrasive particle projection width in the annulus sample region in 5 width of cloth images, the mark abrasive particle is 246 altogether, and computing machine is according to the D of projection width of mark calculating exposure abrasive particle, foundation again
The proud exposure of each abrasive particle of calculated with mathematical model.
After finishing detection, draw abrasive particle proud exposure distribution plan (as shown in Figure 4) and detect data list (as shown in table 1).
Table 1
Claims (3)
1. the detection method of super-hard abrasive tool exposure abrasive particle quantity and abrasive particle proud exposure, form the video image acquisition system by computing machine, microscope and the digital camera head that links to each other with microscope, gather image and carry out analytical calculation, it is characterized in that: super-hard abrasive tool is after use or putting the first edge on a knife or a pair of scissors, super-hard abrasive tool grinding position is positioned over microscopically, by digital camera head image transitions is become digital code information, the image of continuous acquisition different parts is stored image by computing machine; To the image setting annulus sample region of gathering, abrasive particle proud exposure in the annulus sample region and exposure abrasive particle quantity are analyzed;
Wherein the detection step for the abrasive particle proud exposure is: it is ball-shaped that abrasive particle is considered as, the part of abrasive particle exposure is considered as spherical crown, proud exposure is equivalent to the height of spherical crown, projection width is equivalent to spherical crown bottom surface diameter, utilize computing machine scale line segment mark and the exposure vertical maximal projection width of maximum length partly, utilize following mathematical model to obtain the abrasive particle proud exposure by COMPUTER CALCULATION then, mathematical model is
Wherein h-represents the abrasive particle proud exposure, and D-represents the basic grain of the abrasive material particle diameter high limit of size, and B-represents abrasive particle exposure part maximal projection width;
Wherein the detection step for unit area exposure abrasive particle quantity is: at least one annulus sample region is set, with computer mark and write down exposure abrasive particle quantity in the annulus sample region and the radius of this annulus sample region, unit area exposure abrasive particle quantity equals the interior exposure abrasive particle number of annulus sample region divided by annulus sample region area, utilize mathematical model to obtain unit area exposure abrasive particle quantity by COMPUTER CALCULATION then, mathematical model is
Wherein Sn-represents unit area (cm
2) exposure abrasive particle quantity, N-represents annulus sample region exposure abrasive particle quantity, and n-represents annulus sample region quantity, and π-circular constant, R-are represented annulus sample region radius.
2. the detection method of super-hard abrasive tool unit area exposure abrasive particle quantity according to claim 1 and abrasive particle proud exposure is characterized in that: at least one annulus sample region is set on a pictures or a plurality of annulus sample region are set on plurality of pictures.
3. the detection method of super-hard abrasive tool unit area exposure abrasive particle quantity according to claim 1 and abrasive particle proud exposure is characterized in that: the breadth extreme of described abrasive particle exposure part is and the abrasive particle exposure vertical maximal projection width of maximum length partly.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104849211A (en) * | 2015-05-27 | 2015-08-19 | 深圳市常兴技术股份有限公司 | Detecting method for diamond thickening degree on electroplating abrasive tool surface |
| CN109238849A (en) * | 2018-09-18 | 2019-01-18 | 河南工业大学 | A kind of detection method of vitrified bonded grinding tool performance |
| CN112179907A (en) * | 2020-08-14 | 2021-01-05 | 太原理工大学 | Method and system for detecting surface defects of sintered barrel polishing grinding block |
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| WO2004106897A1 (en) * | 2003-05-28 | 2004-12-09 | Bm Alliance Coal Operations Pty Ltd | Method and apparatus for determining particle parameter and processor performance in a coal and mineral processing system |
| CN1632522A (en) * | 2004-12-29 | 2005-06-29 | 上海交通大学 | Device for analyzing picked-up pattern of automobile sheet material coating pulverization by computer |
| CN201051080Y (en) * | 2007-06-14 | 2008-04-23 | 南京航空航天大学 | A microscopical image real time measurement and collection device for pollution and abrasion particle in oil |
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| WO2004106897A1 (en) * | 2003-05-28 | 2004-12-09 | Bm Alliance Coal Operations Pty Ltd | Method and apparatus for determining particle parameter and processor performance in a coal and mineral processing system |
| CN1632522A (en) * | 2004-12-29 | 2005-06-29 | 上海交通大学 | Device for analyzing picked-up pattern of automobile sheet material coating pulverization by computer |
| CN201051080Y (en) * | 2007-06-14 | 2008-04-23 | 南京航空航天大学 | A microscopical image real time measurement and collection device for pollution and abrasion particle in oil |
| CN201251538Y (en) * | 2008-09-12 | 2009-06-03 | 宁波大学 | Measuring device for the granularity of diamond grits |
Non-Patent Citations (1)
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104849211A (en) * | 2015-05-27 | 2015-08-19 | 深圳市常兴技术股份有限公司 | Detecting method for diamond thickening degree on electroplating abrasive tool surface |
| CN104849211B (en) * | 2015-05-27 | 2017-11-17 | 深圳市常兴技术股份有限公司 | Electroplate the detection method that abrasive surface diamond thickeies degree |
| CN109238849A (en) * | 2018-09-18 | 2019-01-18 | 河南工业大学 | A kind of detection method of vitrified bonded grinding tool performance |
| CN112179907A (en) * | 2020-08-14 | 2021-01-05 | 太原理工大学 | Method and system for detecting surface defects of sintered barrel polishing grinding block |
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Application publication date: 20110420 |