CN107894422A - A kind of flat board steel crack detecting method - Google Patents
A kind of flat board steel crack detecting method Download PDFInfo
- Publication number
- CN107894422A CN107894422A CN201711082697.1A CN201711082697A CN107894422A CN 107894422 A CN107894422 A CN 107894422A CN 201711082697 A CN201711082697 A CN 201711082697A CN 107894422 A CN107894422 A CN 107894422A
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- Prior art keywords
- flat board
- pixel
- board steel
- row
- steel
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/34—Purifying; Cleaning
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Abstract
The present invention relates to a kind of flat board steel crack detecting method, including following steps：S1, derusting；S2, surface filling；S3, remove laterite；S4, image obtain；S5, image procossing；The present invention identification of pixel, can quickly recognize crackle point by the way that the crackle of steel surface is changed into.
Description
Technical field
The present invention relates to flat board steel and iron manufacturing field, and in particular to a kind of detection method of flat board steel surface crackle.
Background technology
Special steel in process of production, is made after being typically heat-treated to ordinary steel.But prepared by ordinary steel
Before, iron rust is typically all attached with, iron rust is completely covered on the steel surface so that the surface of steel is difficult to be observed, so as to be difficult
Adhere to the ironing surface crackle of flat plate steel, later stage use is very significant considering that.
In view of it is above-mentioned the defects of, the design people, be actively subject to research and innovation, to found a kind of flat board of new structure
Steel crack detection method, make it with more the value in industry.
The content of the invention
In order to solve the above technical problems, it is an object of the invention to provide a kind of flat board steel crack detecting method.
Technical scheme is as follows：
A kind of flat board steel crack detecting method, it is characterised in that including following steps：
S1, derusting, flat board steel surface is handled, remove the ironing surface iron rust of flat plate steel；
S2, surface filling, are smeared the surface of flat board steel with laterite, and the thickness of laterite is at least 3mm after smearing,
And laterite is compacted with identical flat board steel；
S3, laterite is removed, the ironing surface laterite of flat plate steel is wiped off by scraper, in the table with high pressure water washing flat board steel
Face；
S4, image are obtained, and the photo of flat board steel is obtained by high-resolution camera；
S5, image procossing, by the image adjustment of acquisition into grayscale mode, the gray value of each pixel is obtained, by ash
The less pixel of angle value filters out；
If the pixel filtered out is connected with each other continual quantity and is less than 10, the pixel is deleted；
If the pixel filtered out, which is connected with each other uninterrupted and quantity, is more than 10, the pixel selected is designated as identifying
Point, following processing is done to identification point：
A point row is carried out according to X-direction from top to bottom to the identification point, row R is calculated, calculates pixel in each row
Number, if row amount of the pixel more than 3 accounts for more than the 35% of row R sums, by the identification point deletion；If pixel is small
Less than the 35% of row R sums is accounted in the row amount equal to 3, then the identification point is designated as crackle point.
Further, the step S1 is derusted specifically, flat board steel plate is placed into rust removing solution, the rust removing solution
Formula for 15%-35% hydrochloric acid, 5%-10% sodium metasilicates, 1%-3% urea, 5%-15% sodium acid carbonates, 3%-5%
Coco-nut oil fatty acid, 3%-5% lauryl sodium sulfate, remaining as deionized water.
Further, in the step S5, the computational methods of gray value are,
By such scheme, the present invention at least has advantages below：
(1) present invention identification of pixel, can quickly recognize crackle by the way that the crackle of steel surface is changed into
Point；
(2) plurality of active ingredients is rich in pickle of the present invention, the iron rust, grease, impurity of steel surface can be carried out
Effectively remove.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, below with presently preferred embodiments of the present invention and coordinate accompanying drawing describe in detail as after.
Brief description of the drawings
Fig. 1 is the structural representation of discontinuity point of the present invention；
Fig. 2 is the structural representation of the unqualified continuity point of the present invention；
Fig. 3 is the structural representation of the qualified continuity point of the present invention.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
A kind of flat board steel crack detecting method described in a preferred embodiment of the present invention, it is characterised in that including following
Several steps：
S1, derusting, flat board steel surface is handled, remove the ironing surface iron rust of flat plate steel；
S2, surface filling, are smeared the surface of flat board steel with laterite, and the thickness of laterite is at least 3mm after smearing,
And laterite is compacted with identical flat board steel；
S3, laterite is removed, the ironing surface laterite of flat plate steel is wiped off by scraper, in the table with high pressure water washing flat board steel
Face；
S4, image are obtained, and the photo of flat board steel is obtained by high-resolution camera；
S5, image procossing, by the image adjustment of acquisition into grayscale mode, the gray value of each pixel is obtained, by ash
The less pixel of angle value filters out；
If the pixel filtered out is connected with each other continual quantity and is less than 10, the pixel is deleted；
If the pixel filtered out, which is connected with each other uninterrupted and quantity, is more than 10, the pixel selected is designated as identifying
Point, following processing is done to identification point：
A point row is carried out according to X-direction from top to bottom to the identification point, row R is calculated, calculates pixel in each row
Number, if row amount of the pixel more than 3 accounts for more than the 35% of row R sums, by the identification point deletion；If pixel is small
Less than the 35% of row R sums is accounted in the row amount equal to 3, then the identification point is designated as crackle point.
Further, in the step S5, the computational methods of gray value are,
Further, the step S1 is derusted specifically, flat board steel plate is placed into rust removing solution, the rust removing solution
Formula such as following examples：
Embodiment 1
15% hydrochloric acid, 5% sodium metasilicate, 1% urea, 5% sodium acid carbonate, 3% coco-nut oil fatty acid, 3% dodecane
Base sodium sulphate, remaining as deionized water.
Embodiment 2
20% hydrochloric acid, 8% sodium metasilicate, 2% urea, 10% sodium acid carbonate, 4% coco-nut oil fatty acid, 4% dodecane
Base sodium sulphate, remaining as deionized water.
Embodiment 3
35% hydrochloric acid, 10% sodium metasilicate, 3% urea, 15% sodium acid carbonate, 35% coco-nut oil fatty acid, 3%-5%
Lauryl sodium sulfate, remaining as deionized water.
Described above is only the preferred embodiment of the present invention, is not intended to limit the invention, it is noted that for this skill
For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is some improvement and
Modification, these improvement and modification also should be regarded as protection scope of the present invention.
Claims (3)
1. a kind of flat board steel crack detecting method, it is characterised in that including following steps：
S1, derusting, flat board steel surface is handled, remove the ironing surface iron rust of flat plate steel；
S2, surface filling, are smeared the surface of flat board steel, the thickness of laterite is at least 3mm after smearing, is used in combination with laterite
Identical flat board steel is compacted to laterite；
S3, laterite is removed, the ironing surface laterite of flat plate steel is wiped off by scraper, on the surface with high pressure water washing flat board steel；
S4, image are obtained, and the photo of flat board steel is obtained by high-resolution camera；
S5, image procossing, by the image adjustment of acquisition into grayscale mode, the gray value of each pixel is obtained, by gray value
Less pixel filters out；
If the pixel filtered out is connected with each other continual quantity and is less than 10, the pixel is deleted；
If the pixel filtered out, which is connected with each other uninterrupted and quantity, is more than 10, the pixel selected is designated as identification point,
Following processing is done to identification point：
A point row is carried out according to X-direction from top to bottom to the identification point, row R is calculated, calculates the number of pixel in each row,
If row amount of the pixel more than 3 accounts for more than the 35% of row R sums, by the identification point deletion；If pixel be less than etc.
Row amount in 3 accounts for less than the 35% of row R sums, then the identification point is designated as into crackle point.
A kind of 2. flat board steel crack detecting method according to claim 1, it is characterised in that：The step S1 is specific
For flat board steel plate is placed into rust removing solution and derusted, the formula of the rust removing solution is 15%-35% hydrochloric acid, 5%-
10% sodium metasilicate, 1%-3% urea, 5%-15% sodium acid carbonates, 3%-5% coco-nut oil fatty acids, 3%-5% dodecyls
Sodium sulphate, remaining as deionized water.
A kind of 3. flat board steel crack detecting method according to claim 2, it is characterised in that：In the step S5, ash
The computational methods of angle value are,
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711082697.1A CN107894422A (en) | 2017-11-07 | 2017-11-07 | A kind of flat board steel crack detecting method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711082697.1A CN107894422A (en) | 2017-11-07 | 2017-11-07 | A kind of flat board steel crack detecting method |
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| CN107894422A true CN107894422A (en) | 2018-04-10 |
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| CN201711082697.1A Pending CN107894422A (en) | 2017-11-07 | 2017-11-07 | A kind of flat board steel crack detecting method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108680575A (en) * | 2018-05-17 | 2018-10-19 | 宁波工程学院 | Workpiece coating uniformity detection method based on jet stream |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1259663A (en) * | 1999-12-28 | 2000-07-12 | 上海宝钢集团公司 | Automatic evaluation method of casting ingot cross section quality |
| CN101210330A (en) * | 2006-12-28 | 2008-07-02 | 朱超强 | Rust removing agent |
| CN103091335A (en) * | 2013-01-25 | 2013-05-08 | 湖北汽车工业学院 | Method for testing crack sensitivity of precision steel casting and test model thereof |
| CN103528515A (en) * | 2013-10-15 | 2014-01-22 | 北京交通大学长三角研究院 | Dynamic detection method for crack of bridge bottom surface |
| CN104087957A (en) * | 2014-07-24 | 2014-10-08 | 周彩球 | High-efficiency derusting solution for steel derusting |
| CN105259185A (en) * | 2015-10-08 | 2016-01-20 | 中国建筑材料科学研究总院 | Determining device for number of internal cracks of concrete and method thereof |
| CN106467972A (en) * | 2016-09-22 | 2017-03-01 | 长兴净安环保科技有限公司 | A kind of rustless steel cleansing cream and preparation method thereof |
-
2017
- 2017-11-07 CN CN201711082697.1A patent/CN107894422A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1259663A (en) * | 1999-12-28 | 2000-07-12 | 上海宝钢集团公司 | Automatic evaluation method of casting ingot cross section quality |
| CN101210330A (en) * | 2006-12-28 | 2008-07-02 | 朱超强 | Rust removing agent |
| CN103091335A (en) * | 2013-01-25 | 2013-05-08 | 湖北汽车工业学院 | Method for testing crack sensitivity of precision steel casting and test model thereof |
| CN103528515A (en) * | 2013-10-15 | 2014-01-22 | 北京交通大学长三角研究院 | Dynamic detection method for crack of bridge bottom surface |
| CN104087957A (en) * | 2014-07-24 | 2014-10-08 | 周彩球 | High-efficiency derusting solution for steel derusting |
| CN105259185A (en) * | 2015-10-08 | 2016-01-20 | 中国建筑材料科学研究总院 | Determining device for number of internal cracks of concrete and method thereof |
| CN106467972A (en) * | 2016-09-22 | 2017-03-01 | 长兴净安环保科技有限公司 | A kind of rustless steel cleansing cream and preparation method thereof |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108680575A (en) * | 2018-05-17 | 2018-10-19 | 宁波工程学院 | Workpiece coating uniformity detection method based on jet stream |
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Application publication date: 20180410 |