CN106767458A - Each thickness degree method for automatic measurement of coated fuel particles - Google Patents
Each thickness degree method for automatic measurement of coated fuel particles Download PDFInfo
- Publication number
- CN106767458A CN106767458A CN201611247817.4A CN201611247817A CN106767458A CN 106767458 A CN106767458 A CN 106767458A CN 201611247817 A CN201611247817 A CN 201611247817A CN 106767458 A CN106767458 A CN 106767458A
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- Prior art keywords
- fuel particles
- automatic measurement
- thickness degree
- core
- coated fuel
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
- G01B11/0616—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material of coating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
Abstract
The present invention relates to automatic measurement technology field, each thickness degree method for automatic measurement of coated fuel particles is specifically disclosed, comprised the following steps：Step one：UO2The locking at core center；Step 2：The initial extraction of each layer boundary；Step 3：Edge optimization.The inventive method realizes the automatic identification to coated particle vitrotype sample metallograph, on the premise of accuracy of detection is ensured, detection efficiency greatly improved.
Description
Technical field
The invention belongs to automatic measurement technology field, and in particular to a kind of each thickness degree automatic measurement side of coated fuel particles
Method.
Background technology
HTGR is a kind of good security, it may be possible to provide 950 DEG C of advanced reactors of Process heat application, at me
There is extensive prospect in state's future source of energy system.It using a kind of fuel element one of new ceramic structure by pyrolytic carbon and
The fuel microballoon of carborundum cladding.The external diameter of this microballoon is no more than 1mm, and its core is UO2, core outside pyrolytic deposition
Cladding 3 layers of pyrolytic carbon and 1 layer of carborundum.
In order to ensure coated fuel particles can the safe operation in heap, to the thickness density and other materials of each clad
Can require.Measurement coating thickness, often with the following method:
1st, roentgenography；
2nd, porcelain is mutually ground method；
3rd, optical particle size analyzer method；
4th, V-groove method.
Latter two method can only measure microsphere diameter, it is impossible to direct measurement coating thickness, thus can only provide thickness
Average value, it is impossible to provide standard deviation.Because the material of interior fine and close pyrolysis carbon coating layer and loose pyrolysis carbon coating layer is all carbon,
Their difference is only that density is different, and weaker zone density is 1g/cm3Left and right, interior fine and close hot bed of carbon density 1.85~
1.95g/cm3Between, along with carbon is smaller to the absorption coefficient of X-ray, the border of this two-layer is not on X-ray transmission photo
It is very clear, thus the thickness measure of this two-layer to be mutually ground method from porcelain more suitable.
Porcelain is mutually in grinding method, first has to prepare coated particle vitrotype sample, and polishing state to particle carries out metallograph
Collection, finally carries out each layer thickness measuring using Survey Software.
In image recognition link, Tsing-Hua University uses manual testing process, and the method uses karr-Zeiss ProImaging
CircleDT functions in general image analysis software are measured.Every crowd of time-consuming about 3~4h of particle sizing, needs naked eyes to recognize each
Layer line of demarcation simultaneously completes to get ready manually.
The content of the invention
It is an object of the invention to provide a kind of each thickness degree method for automatic measurement of coated fuel particles, realize to cladding
The automatic identification of grain vitrotype sample metallograph.
Technical scheme is as follows：
Each thickness degree method for automatic measurement of coated fuel particles, it is characterised in that：Comprise the following steps：
Step one：UO2The locking at core center；
Step 2：The initial extraction of each layer boundary；
Step 3：Edge optimization.
In step one, UO is carried out first2The outer peripheral retrieval of core, then carries out accurate lock to nucleus edge,
And complete the estimation at center.
Described carries out UO2The outer peripheral retrieval of core, including to the image of every width coated fuel particles, calculate the image
Grey level histogram, determine core region partition threshold, realize the initial extraction to core edge.
In step one, according to the bimodal feature of histogram, core region partition threshold is determined.
Described carries out accurate lock, including the pseudo-edge that removal cut, pit cause to nucleus edge.
Based on global optimization method, the pseudo-edge for introducing smoothing factor to remove cut, pit causes.
In step 2, on the basis of core central area is correctly estimated, respectively both horizontally and vertically, from inside to outside
Each layer Boundary Extraction is carried out, each layer border initial value is obtained.
In step 3, smoothing factor, the pseudo-edge that removal cut, crackle cause are introduced.
In step 3, it is accurately positioned in interlayer based on Gauss model, completes to get ready, by calculates the picture between each consecutive points
Vegetarian refreshments draws each layer thickness value, and result is imported in Excel forms.
Coated fuel particles are the fuel microballoons coated by pyrolytic carbon and carborundum, and the external diameter of the microballoon is no more than 1mm,
The core of microballoon is UO2, core external application pyrolytic deposition cladding three layers of pyrolytic carbon and one layer of carborundum.
Remarkable result of the invention is：
(1) detection efficiency is high
In coated particle detection project, it is stipulated that 180 coated fuel particles of every batch of test, using every batch of particle of manual measurement
Time-consuming about 3~4h, after automatic identification technology, every batch of particle sizing only needs 30min.
(2) accuracy of detection is high
During using manual measurement, the identification in each clad line of demarcation is recognized using naked eyes, in view of the item detection cycle is long,
It is difficult to ensure that the stability of measurement result, while being automatically identified in sample preparation effect and reach detection and require, measurement result
Uniformity and stability are very secure.
Specific embodiment
The present invention is described in further detail with reference to specific embodiment.
Each thickness degree method for automatic measurement of coated fuel particles, using a kind of fuel particle of new ceramic structure, be
The fuel microballoon coated by pyrolytic carbon and carborundum, the external diameter of the microballoon is no more than 1mm, and the core of microballoon is UO2, outside core
Three layers of pyrolytic carbon and one layer of carborundum are coated with pyrolytic deposition.
Each thickness degree method for automatic measurement of coated fuel particles, comprises the following steps：
Step one：UO2The locking at core center.
UO is carried out first2The outer peripheral retrieval of core, including to the image of every width coated fuel particles, calculate the image
Grey level histogram, according to the bimodal feature of histogram, determines core region partition threshold, realizes the initial extraction to core edge.
Then accurate lock is carried out to nucleus edge, based on global optimization method, introduces smoothing factor, removal cut, pit etc.
The pseudo-edge for causing, and complete the estimation at center.
Step 2：The initial extraction of each layer boundary.
On the basis of core central area is correctly estimated, respectively both horizontally and vertically, each layer is carried out from inside to outside
Boundary Extraction, obtains each layer border initial value.
Step 3：Edge optimization.
The pseudo-edge that smoothing factor, removal cut, crackle etc. cause is introduced, and it is accurately fixed in interlayer based on Gauss model
Position, is completed to get ready, and each layer thickness value is drawn by calculating the pixel between each consecutive points, and result is imported in Excel forms.
The method achieve the automatic reading of coated fuel particles porcelain phase sample photo, automatic identification, automatic calculate, manually
Adjustment function.
Compared to having carried out manual and automatic measurement result with batch of 180 coated fuel particles, the results are shown in Table 1：
Table 1 is compared with automatic measurement result manually
About 3~4h is taken using every batch of particle of manual measurement, using automatic measurement technology, every batch of particle sizing is only needed
30min。
Comparison result shows that the standard deviation of manual measurement result is more than the standard deviation of automatic measurement result, thus certainly
Dynamic identification relatively naked eyes identification is more reliable and more stable.
Claims (10)
1. each thickness degree method for automatic measurement of coated fuel particles, it is characterised in that：Comprise the following steps：
Step one：UO2The locking at core center；
Step 2：The initial extraction of each layer boundary；
Step 3：Edge optimization.
2. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 1, it is characterised in that：In step one,
UO is carried out first2The outer peripheral retrieval of core, then carries out accurate lock, and complete the estimation at center to nucleus edge.
3. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 2, it is characterised in that：Described carrying out
UO2The outer peripheral retrieval of core, including to the image of every width coated fuel particles, the grey level histogram of the image is calculated, it is determined that
Core region partition threshold, realizes the initial extraction to core edge.
4. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 3, it is characterised in that：In step one,
According to the bimodal feature of histogram, core region partition threshold is determined.
5. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 4, it is characterised in that：It is described to core
Heart edges of regions carries out accurate lock, including the pseudo-edge that removal cut, pit cause.
6. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 5, it is characterised in that：It is excellent based on the overall situation
Change method, the pseudo-edge for introducing smoothing factor to remove cut, pit causes.
7. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 6, it is characterised in that：In step 2,
On the basis of core central area is correctly estimated, respectively both horizontally and vertically, each layer Boundary Extraction is carried out from inside to outside,
Obtain each layer border initial value.
8. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 7, it is characterised in that：In step 3,
Introduce smoothing factor, the pseudo-edge that removal cut, crackle cause.
9. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 8, it is characterised in that：In step 3,
It is accurately positioned in interlayer based on Gauss model, completes to get ready, each thickness degree is drawn by calculating the pixel between each consecutive points
Value, result is imported in Excel forms.
10. each thickness degree method for automatic measurement of coated fuel particles as claimed in claim 9, it is characterised in that：Cladding fuel
Particle is the fuel microballoon coated by pyrolytic carbon and carborundum, and the external diameter of the microballoon is no more than 1mm, and the core of microballoon is UO2,
Core external application pyrolytic deposition coats three layers of pyrolytic carbon and one layer of carborundum.
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| CN201611247817.4A CN106767458A (en) | 2016-12-29 | 2016-12-29 | Each thickness degree method for automatic measurement of coated fuel particles |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978866A (en) * | 2019-03-28 | 2019-07-05 | 中国核电工程有限公司 | Fuel pellet week planar defect on-line measuring device and method |
| WO2020252815A1 (en) * | 2019-06-21 | 2020-12-24 | 湖南大学 | Method and device for detecting thicknesses of coating layers of nuclear fuel particles |
| CN113298804A (en) * | 2021-06-16 | 2021-08-24 | 浙江大学 | Real-time solid fuel material layer thickness measuring method based on infrared image |
| CN113295577A (en) * | 2021-05-25 | 2021-08-24 | 中国核动力研究设计院 | Apparent density determination method for loose pyrolytic carbon layer of coated fuel particles |
| CN113409343A (en) * | 2021-06-16 | 2021-09-17 | 浙江大学 | Real-time solid fuel material layer thickness measuring method |
| CN113567310A (en) * | 2021-07-30 | 2021-10-29 | 重庆大学 | Detection method and device for coated particles |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978866A (en) * | 2019-03-28 | 2019-07-05 | 中国核电工程有限公司 | Fuel pellet week planar defect on-line measuring device and method |
| WO2020252815A1 (en) * | 2019-06-21 | 2020-12-24 | 湖南大学 | Method and device for detecting thicknesses of coating layers of nuclear fuel particles |
| US11728056B2 (en) | 2019-06-21 | 2023-08-15 | Hunan University | Method for detecting thicknesses of coating layers of nuclear fuel particles |
| CN113295577A (en) * | 2021-05-25 | 2021-08-24 | 中国核动力研究设计院 | Apparent density determination method for loose pyrolytic carbon layer of coated fuel particles |
| CN113298804A (en) * | 2021-06-16 | 2021-08-24 | 浙江大学 | Real-time solid fuel material layer thickness measuring method based on infrared image |
| CN113409343A (en) * | 2021-06-16 | 2021-09-17 | 浙江大学 | Real-time solid fuel material layer thickness measuring method |
| CN113298804B (en) * | 2021-06-16 | 2022-03-15 | 浙江大学 | Real-time solid fuel material layer thickness measuring method based on infrared image |
| CN113567310A (en) * | 2021-07-30 | 2021-10-29 | 重庆大学 | Detection method and device for coated particles |
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