CN106940318B - A kind of fibre reinforced composites processing effect evaluation method - Google Patents
A kind of fibre reinforced composites processing effect evaluation method Download PDFInfo
- Publication number
- CN106940318B CN106940318B CN201710096197.7A CN201710096197A CN106940318B CN 106940318 B CN106940318 B CN 106940318B CN 201710096197 A CN201710096197 A CN 201710096197A CN 106940318 B CN106940318 B CN 106940318B
- Authority
- CN
- China
- Prior art keywords
- area
- milling
- damage
- image
- pixel
- 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
- 239000002131 composite material Substances 0.000 title claims abstract description 23
- 238000012545 processing Methods 0.000 title claims abstract description 20
- 239000000835 fiber Substances 0.000 title claims abstract description 17
- 238000011156 evaluation Methods 0.000 title claims abstract description 12
- 230000000694 effects Effects 0.000 title claims abstract description 9
- 230000006378 damage Effects 0.000 claims abstract description 73
- 238000003801 milling Methods 0.000 claims abstract description 37
- 238000000034 method Methods 0.000 claims abstract description 31
- 208000027418 Wounds and injury Diseases 0.000 claims abstract description 9
- 208000014674 injury Diseases 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims abstract description 7
- 239000000463 material Substances 0.000 claims abstract description 6
- 238000005520 cutting process Methods 0.000 claims description 10
- 239000003550 marker Substances 0.000 claims description 7
- 230000032798 delamination Effects 0.000 claims description 6
- 239000000523 sample Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 3
- PXFBZOLANLWPMH-UHFFFAOYSA-N 16-Epiaffinine Natural products C1C(C2=CC=CC=C2N2)=C2C(=O)CC2C(=CC)CN(C)C1C2CO PXFBZOLANLWPMH-UHFFFAOYSA-N 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 235000013399 edible fruits Nutrition 0.000 claims description 2
- 239000004918 carbon fiber reinforced polymer Substances 0.000 claims 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 abstract description 9
- 229910052799 carbon Inorganic materials 0.000 abstract description 9
- 238000003754 machining Methods 0.000 abstract description 7
- 230000003902 lesion Effects 0.000 abstract description 3
- 238000000691 measurement method Methods 0.000 abstract description 2
- 238000005553 drilling Methods 0.000 description 4
- 239000010410 layer Substances 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 3
- 241000872198 Serjania polyphylla Species 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 229920000049 Carbon (fiber) Polymers 0.000 description 1
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004917 carbon fiber Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000003822 epoxy resin Substances 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000003475 lamination Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003913 materials processing Methods 0.000 description 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 238000010422 painting Methods 0.000 description 1
- 229920000647 polyepoxide Polymers 0.000 description 1
- 239000002990 reinforced plastic Substances 0.000 description 1
- 238000011410 subtraction method Methods 0.000 description 1
- 238000009966 trimming Methods 0.000 description 1
- 239000002023 wood Substances 0.000 description 1
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
A kind of fibre reinforced composites processing effect evaluation method of the present invention belongs to fibre reinforced composites machining damage evaluation field, the in particular to a kind of rapidly extracting and evaluation method of carbon fibre composite superficial lesions area.This method is analyzed and is calculated the area of damage field using digital image processing techniques, and degree of injury is found out according to formula calculating.Pixel calibration is carried out first, then with the digital picture before the acquisition machined material milling of coloured plate scanner and after milling, the target area of image before and after milling is subtracted each other and shows after subtracting each other as a result, determining damage field area and calculating damage factor.This method can the machining damage to carbon fibre composite quickly evaluated, calculation method is simple, and economic cost is low.Measurement method is simple, and the requirement to survey crew is low；Meanwhile this method is low to the required dependence measured size, to increase the reliability of result.
Description
Technical field
Invention belongs to fibre reinforced composites machining damage evaluation field, in particular to a kind of carbon fibre composite table
The rapidly extracting and evaluation method of layer damaged area.
Background technique
Carbon fibre composite (CFRP) has lightweight, high-strength, corrosion-resistant, many advantages, such as can integrally manufacturing, by
It is widely used in the fields such as aerospace, automobile, ship.However, in order to meet the demand that is linked and packed of composite element, still
It need to largely be finished.And milling is the method for fine finishing generally used in industry.But CFRP is easily produced in milling
The machining damages such as layer estranged, burr, and these damages often have on surface layer, influence load-carrying properties.Therefore, in order to different works
Composite processing effect under skill parameter and cutter geometry is compared, to choose suitable cutter geometry and cutting ginseng
Number, needs to obtain the degree of machining damage and establishes corresponding quantitative criteria, and then passes through numerical value computational representation milling composite wood
Skin-material degree of injury after material.
Davim in 2005 etc. is in " JOURNAL OF MATERIALS PROCESSING TECHNOLOGY " the 160th phase 160
" the Damage and dimensionalprecision on milling carbon fiber- delivered to page 167
Reinforcedplastics using design experiments " one-dimensional damage factor (F is used in a textd) to milling
Degree of injury is characterized, the calculation expression of the one-dimensional damage factor are as follows:I.e. maximum lesion depths Wmax
With the quotient of radial cutting-in W.This method is although easy to operate, grasps convenient for engineers and technicians, but inevitably introduces people
For measurement error.In addition, this method is only applicable to the more regular situation of damage zone shape.However, Milling Process composite material
Later, superficial lesions are usually the composite material damage by non-cut staple, the composition such as fine cracks and material deficiency, after processing
Hurt that in irregular shape, the frequency of occurrences is uneven.In this case, if continuing to use one-dimensional damage factor, it is most likely that occur
Two different degree of injury one-dimensional damage factor having the same the case where, calculated result reliability is poor.On 2016
Extra large university of communications Anqing dragon et al. is in patent " the lamination defect evaluation side of the unidirectional laminate drilling of carbon fibre reinforced composite
Method ", application number: in CN201610111299.7, for drilling carbon fibre composite delamination damage, by introducing different layers
Delamination damage volume describes the degree of drilling delamination damage.But since this method device therefor is expensive, and to operation
The level professional technology of personnel requires very high, unsuitable a wide range of popularization and application.In addition, this method can not describe hole wall surface layer
Burr degree of injury, therefore cannot achieve thoroughly evaluating drilling processing effect.
Summary of the invention
For the defects in the prior art, especially existing one-dimensional damage factor characterizes the deficiency and layering of damage to the present invention
The limitation of damage method, has invented a kind of fibre reinforced composites processing effect evaluation method, and this method uses digitized map
As the area of processing technique analysis and calculating damage field, this method is a kind of economic, quick, accurate carbon fibre composite
Machining damage evaluation method, effectively characterizes processing effect.
The technical solution adopted by the present invention is that a kind of fibre reinforced composites processing effect evaluation method, characterized in that
This method is analyzed using digital image processing techniques, calculates the area of damage field, and degree of injury is found out according to formula calculating.It is first
Pixel calibration is first carried out, it, will then with the digital picture before the acquisition machined material milling of coloured plate scanner and after milling
The target area of image is subtracted each other before and after milling, and shows after subtracting each other as a result, determining damage field area and calculating damage
Hurt the factor；
Specific step is as follows for method:
The calibration of step 1. pixel
The conversion relation between physical size and pixel is determined with a camera special calibrating plate, in coloured plate scanner
A particular circle area S is selected in the image that scan process obtains, and calculates the number of the pixel contained in the circular area
N, then size S representated by single pixel0, it is calculated by formula (1):
S0=S/n (1)
Step 2. milling traversing of probe
The top layer of the CFRP sample of process side is painted into white, these samples are then placed in air 1 hour, preferably
Identification and measurement delamination area；Upper surface paste 10 reflective marker points, using coloured plate scanner obtain milling before and mill
Digital picture after cutting；
Step 3. image subtraction
The reflective marker point on former and later two images of milling is successively selected by same sequence, and records corresponding reflective marker point
Coordinate value in respective image utilizes affine transform algorithm by the target of corresponding position on two images before and after milling later
Point coordinate value carries out matching coincidence, obtains two images being completely coincident, and show.It manually selects after converting on image
Then the target area of image before and after milling is subtracted each other and shows the knot after subtracting each other to reduce calculation amount in target area
Fruit, there is no the region of any variation before and after all millings, subtracting each other rear gray value becomes 0, and changed region is then not
It is 0；
Obtained damage field is simultaneously reversely carried out binaryzation by step 4. binaryzation, there was only the image in whole region black
With white visual effect, then result is subjected to reverse process.Black is presented in damaged portion after processing, and rest part is white
Color can highlight the region of milling inconsequent in this way, convenient for the operation of damaged area is defined below.
Step 5. determines damage field area and calculates damage factor
Degree of injury judges according to the formula:
Wherein, Fd-areaIt is damage factor, size is used to judge the degree of damage；AdFor the area of damage field；A0For
The area of radial cutting, A0=aeL, wherein ae is radial cutting depth, and L is the length for being milled edge；
First calculate the area A of damage fieldd, AdThe picture that size × damage field contains representated by=single pixel
The number of vegetarian refreshments；A is calculated further according to the length L of radial cutting depth ae, processing edge0=aeL.Further according to formula
(2) value of damage factor is found out
The beneficial effects of the invention are as follows this method can the machining damage to carbon fibre composite quickly evaluated,
Calculation method is simple, and economic cost is low.Measurement method is simple, and the requirement to survey crew is low；Meanwhile this method is to required measurement
The dependence of size is low, to increase the reliability of result.
Detailed description of the invention
Fig. 1 is that the image subtraction method of embodiment determines damage zone final form: (a) is image before milling in figure, is (b) milling
Rear image is cut, is (c) image after image subtraction.
Fig. 2 is experiment filled circles array calibrating plate used.
When Fig. 3 is speed of mainshaft 2500r/min, the corresponding damage factor calculated value of the different amount of feeding, abscissa is per tooth
The amount of feeding, unit are millimeter/tooth, and ordinate is damage factor.
Specific embodiment
Below by the detailed implementation that the present invention will be described in detail of attached drawing and technical solution.
The composite material that the present embodiment uses is impregnated with the T800 carbon fiber system of P2352 epoxy resin by multidirectional CFRP plate
At.The stacking sequence of CFRP plate is [- 45 °/0 °/45 °/90 °], [90 °/45 °/0 °/- 45 °].Composite material thickness about 5.25mm,
Fiber volume fraction is 60%.CFRP specimen size long 100mm, wide 50mm.It is processed in 500 3 axis high speed CNC of Mikron HSM
Edge trimming experiment is carried out on center.With speed of mainshaft 2500r/min, radial cutting depth is kept constant.With feed engagement
For 0.05mm/ tooth, specific step is as follows for method:
The calibration of step 1. pixel
As shown in Fig. 2, test filled circles array calibrating plate used, outer dimension is 100 × 100mm, center away from
8mm, array 7 × 7, circle breadth product is 64 × 64mm.The area of each circular pattern is 16mm in the scaling board2, in scanner
A circle, circular area 15mm are selected in the image that scan process obtains2, calculate of the pixel contained in the circle
Number is 32783, then size S representated by single pixel0, S0The pixel number contained in=circular area/circle=
4.6×10-4mm2。
Step 2. milling traversing of probe with alcohol clears up surface impurity after making sample, and will be by the upper surface at milling edge
With painting pen painted white, placement one hour air-dried wait paint.10 reflective marker points are pasted in upper surface, are later placed on test specimen
On the glass plate of coloured plate scanner, using the scanning resolution of 1200ppi, scanning obtains the image before Milling Process, such as
Shown in attached drawing 1 (a).Similarly, the image after available processing, as shown in attached drawing 1 (b).
Two true color images are converted to gray-scale intensity image by program in MATLAB by step 3. image subtraction, will
The brightness of each pixel on image is indicated with numerical value.In order to reduce calculation amount, the small portion on original image is manually selected
Subregion, damage field is integrally incorporated in, as effective coverage.Then by the gray scale before and after milling in effective coverage
Image is subtracted each other, and the delamination area of milling induction is obtained.Needing to use ten mark points done front during subtracting each other will
Two images are accomplished perfectly aligned.
Obtained damage field is simultaneously reversely carried out binaryzation by step 4. binaryzation, there was only the image in whole region black
With white visual effect, then result is subjected to reverse process.Black is presented in damaged portion after processing, and rest part is white
Color, as shown in attached drawing 1 (c).
Step 5. determines damage field area and calculates the effective coverage that damage factor observes selection, is calculated and wherein damages
The number for hurting the pixel that region is contained is 143010, can find out the area A of damage fieldd, AdRepresentated by=single pixel
The number of pixel that contains of size × damage field, calculated result Ad=65.7846mm2.According to radial cutting depth
Degree ae=2.5mm, the length L=50mm for processing edge obtain A0=aeL=125mm2.It is asked further according to the formula (2) of damage factor
Damage factor is out
Attached drawing 3 is that the speed of mainshaft is 2500r/min, the corresponding damage factor meter of the different amount of feeding obtained using this method
Calculation value.The experimental results showed that feed engagement is bigger under same rotating speed, damage factor is bigger, that is, damages more serious.
Claims (1)
1. a kind of fibre reinforced composites processing effect evaluation method, characterized in that this method uses Digital Image Processing skill
Art analysis, calculates the area of damage field, and degree of injury is found out according to formula calculating；Pixel calibration is carried out first, then with coloured silk
Color flat bed scanner obtains the digital picture before machined material milling and after milling, by the target area of image before and after milling into
Row subtracts each other, and shows after subtracting each other as a result, determining damage field area and calculating damage factor；The specific steps of method are such as
Under:
The calibration of step 1. pixel
The conversion relation between physical size and pixel is determined with a camera special calibrating plate, in coloured plate scanner scanning
It handles and selects a particular circle area S in obtained image, calculate the number n of the pixel contained in the circular area, then
Size S representated by single pixel0, it is calculated by formula (1):
S0=S/n (1)
Step 2. milling traversing of probe
White is painted into the upper surface of the CFRP sample edge of process side, these samples are then placed in air 1 hour, more preferably
Ground identification and measurement delamination area；Upper surface paste 10 reflective marker points, using coloured plate scanner obtain milling before and
Digital picture after milling；
Step 3. image subtraction
The reflective marker point on former and later two images of milling is successively selected by same sequence, and records corresponding reflective marker point each
From the coordinate value in image, the target point of corresponding position on two images before and after milling is sat using affine transform algorithm later
Scale value carries out matching coincidence, obtains two images being completely coincident, and show, manually selects the target after converting on image
Then the target area of image before and after milling is subtracted each other and shown after subtracting each other as a result, all to reduce calculation amount in region
It is that there is no the regions of any variation for milling front and back, subtracting each other rear gray value becomes 0, and changed region is not then 0；
Step 4. binaryzation is simultaneously reversed
Obtained damage field is subjected to binaryzation, so that the image in whole region there was only black and white visual effect, then will knot
Fruit carries out reverse process, and black is presented in damaged portion after processing, and rest part is white, in this way can will be before and after milling
Inconsistent region highlights, convenient for the operation of damaged area is defined below,
Step 5. determines damage field area and calculates damage factor
Degree of injury judges according to the formula:
Wherein, Fd-areaIt is damage factor, size is used to judge the degree of damage；AdFor the area of damage field；A0For radial direction
The area of cutting, A0=aeL, wherein ae is radial cutting depth, and L is the length for being milled edge；
First calculate the area A of damage fieldd, AdThe pixel that size × damage field contains representated by=single pixel
Number；A is calculated further according to radial cutting depth ae, the length L for being milled edge0=aeL, further according to formula (2)
Find out the value of damage factor
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710096197.7A CN106940318B (en) | 2017-02-23 | 2017-02-23 | A kind of fibre reinforced composites processing effect evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710096197.7A CN106940318B (en) | 2017-02-23 | 2017-02-23 | A kind of fibre reinforced composites processing effect evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106940318A CN106940318A (en) | 2017-07-11 |
| CN106940318B true CN106940318B (en) | 2019-04-09 |
Family
ID=59468811
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710096197.7A Expired - Fee Related CN106940318B (en) | 2017-02-23 | 2017-02-23 | A kind of fibre reinforced composites processing effect evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106940318B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416087B (en) * | 2018-01-26 | 2020-02-18 | 大连理工大学 | Method for predicting milling damage depth of carbon fiber composite material |
| US11373296B1 (en) | 2022-02-22 | 2022-06-28 | King Abdulaziz University | System and method for analysis of chip and burr formation in drilled fiber reinforced plastic composites using image processing |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101178367A (en) * | 2007-09-21 | 2008-05-14 | 天津大学 | Ceramic working surface damnification detecting system |
| CN104608799A (en) * | 2014-12-12 | 2015-05-13 | 郑州轻工业学院 | Information fusion technology based train wheel set tread damage online detection and recognition method |
| CN105138842A (en) * | 2015-08-26 | 2015-12-09 | 大连理工大学 | Representation method of drilling damage to carbon fiber composite |
| CN105488795A (en) * | 2015-11-26 | 2016-04-13 | 中国商用飞机有限责任公司北京民用飞机技术研究中心 | Composite material damage identification method |
| CN105738382A (en) * | 2016-02-29 | 2016-07-06 | 上海交通大学 | Lamination defect evaluation method for drilling of carbon fiber reinforced composite unidirectional laminate |
-
2017
- 2017-02-23 CN CN201710096197.7A patent/CN106940318B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101178367A (en) * | 2007-09-21 | 2008-05-14 | 天津大学 | Ceramic working surface damnification detecting system |
| CN104608799A (en) * | 2014-12-12 | 2015-05-13 | 郑州轻工业学院 | Information fusion technology based train wheel set tread damage online detection and recognition method |
| CN105138842A (en) * | 2015-08-26 | 2015-12-09 | 大连理工大学 | Representation method of drilling damage to carbon fiber composite |
| CN105488795A (en) * | 2015-11-26 | 2016-04-13 | 中国商用飞机有限责任公司北京民用飞机技术研究中心 | Composite material damage identification method |
| CN105738382A (en) * | 2016-02-29 | 2016-07-06 | 上海交通大学 | Lamination defect evaluation method for drilling of carbon fiber reinforced composite unidirectional laminate |
Non-Patent Citations (2)
| Title |
|---|
| Damage and dimensional precision on milling carbon fiber-reinforced plastics using design experiments;J. Paulo Davim 等;《Journal of Materials Processing Technology 》;20051231;第160–167页 |
| 基于 CFRP 切削过程仿真的面下损伤形成分析;殷俊伟 等;《机械工程学报》;20160930;第 52 卷(第 17 期);第58–64页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106940318A (en) | 2017-07-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106940318B (en) | A kind of fibre reinforced composites processing effect evaluation method | |
| Peng et al. | Measurement of wood shrinkage in jack pine using three dimensional digital image correlation (DIC) | |
| CN104669057B (en) | Additional load loss coefficient acquiring method of machining system of machine tool | |
| US20120033207A1 (en) | Composite fiber wave inspection system and method | |
| CN106525757A (en) | Method of measuring trace oxygen and nitrogen elements in alloy steel | |
| CN103969168A (en) | Quantitative determination method for cross section porosity of loose mineral | |
| WO2014087332A1 (en) | Wheel recutting | |
| CN108445835A (en) | A kind of Dimension Measurement prediction technique of numerically-controlled machine tool | |
| CN104634800A (en) | Quantitative determination method for thickness of transition layer of titanium-steel composite plate | |
| US20050202571A1 (en) | Method and apparatus for monitoring substances | |
| Nicolas et al. | 3D chemical maps of non-flat surfaces by laser-induced breakdown spectroscopy | |
| CN104215505B (en) | Method for evaluating sensitivity of edge crack of high-strength thin steel plate | |
| CN105738240B (en) | The evaluation method of the CFRP machining surface quality of gamut fibrinopeptides A | |
| EP3163294A1 (en) | Verfahren zum nachweis von oberflächenverunreinigungen mittels röntgenfluoreszenzanalyse | |
| CN108469230B (en) | Wood veneer deformation measurement method based on three-dimensional laser scanning | |
| CN107315015B (en) | The research method of sawn timber surface defect based on structure laser scanner technique | |
| Demirci et al. | Damage detection of carbon face sheet Nomex sandwich composites with image processing technique | |
| CN114549412A (en) | Method, device and system for detecting quality of workpiece | |
| CN207797958U (en) | A kind of segment part centre-to-centre spacing auxiliary detection tool | |
| CN109029200A (en) | A kind of off-line checking method of Varying-thickness Automobile Plate | |
| Xu et al. | Application of industrial CT to nondestructive testing of composite materials | |
| CN111882539A (en) | Automatic measurement method for aero-engine blade | |
| Rimpault et al. | Surface profile texture characterization of trimmed laminated composite in the stacking sequence direction | |
| Heinzl et al. | Software tools for robust extraction, analysis and visualization of porosities in XCT scans of fiber-reinforced polymers | |
| Voltz et al. | Methodology for characterizing the fiber print through and overall surface quality for unidirectional reinforced composites |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190409 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |