CN105021636B - A kind of lossless detection method for identifying composite product internal flaw type - Google Patents
A kind of lossless detection method for identifying composite product internal flaw type Download PDFInfo
- Publication number
- CN105021636B CN105021636B CN201510482808.2A CN201510482808A CN105021636B CN 105021636 B CN105021636 B CN 105021636B CN 201510482808 A CN201510482808 A CN 201510482808A CN 105021636 B CN105021636 B CN 105021636B
- Authority
- CN
- China
- Prior art keywords
- density
- defect
- depreciation
- composite product
- internal flaw
- 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.)
- Active
Links
Landscapes
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
The invention belongs to technical field of nondestructive testing.Using composite product internal flaw region and non-defective region and the relation of CT density values, by way of preset defect, CT density depreciation corresponding to different type defect is drawn；By comparing CT density depreciations, the type of defect is identified.The method of the present invention that composite product internal flaw type is identified using lossless detection method, include the calibration of industry CT detecting system, tomography CT detections and the calculating of density depreciation, Classifcation of flaws process, tomography CT detections are carried out to sample to calculate with density depreciation, by the CT density depreciation of defect area compared with the CT density depreciations of known defect, defect type is drawn.This method, easy to operate, reliability is high, applicability is wide, recognition speed is fast, the advantages that artificial erroneous judgement is few.Suitable for the x-ray tomography CT field of non destructive testing of composite product internal flaw, the identification especially suitable for composite product internal flaw type.
Description
Technical field
The invention belongs to technical field of nondestructive testing, is related to composite product non-destructive testing technology, more particularly to compound
The Non-Destructive Testing and identification of material product internal flaw type.
Background technology
Composite has the characteristics such as high specific strength and specific modulus, good fatigue resistance and sound-absorbing, sound insulation, energy-absorbing,
It is widely used in the fields such as Aeronautics and Astronautics, electric power, metallurgy, automobile making.Because composite product is by structure, raw material, system
The factors such as standby technique influence, and the defects of stomata is easily produced in preparation process, is layered, is mingled with, these defects have a strong impact on multiple
The safe application performance of laminate article.
Industry CT is as advanced non-destructive testing technology in Aeronautics and Astronautics, weapons, nuclear energy, electronics, petrochemical industry, machinery etc.
It is used widely in field.X-ray tomography CT is used for the Non-Destructive Testing of composite product, is to quilt using narrow X-ray beam
The selected cross-sectional view of detection object is scanned, and obtains tomography CT images, the thin of section can be intuitively obtained from CT images
The position of feature such as defect, shape, size etc. are saved, flaw size, CT density values etc. can accurately be measured.
CN102023171 discloses " with the lossless detection method of the quantitative composite inner inclusion defect type of CT values ",
It is that sample is simulated by inclusion defect, establishes different type, various sizes of inclusion defect CT values and pixel relationship curve spectrum,
The collection of illustrative plates is utilized during actually detected, accurate measurement is carried out to the CT values of inclusion defect using the pixel method of average, so as to quantitative
The type of inclusion defect, this method do not have then just for inner inclusion defect type, but for layering, stomata internal flaw type
Relate to, stomata, lamination defect inside None- identified composite product.
The content of the invention
The inventive method is intended to overcome the deficiencies in the prior art, there is provided one kind identification composite product internal flaw type
Lossless detection method.
What the object of the invention was realized in：It is close using composite product internal flaw region and non-defective region and CT
The relation of angle value, by way of preset defect, draw CT density depreciation corresponding to different type defect；Compare composite system
Defect area and the CT density depreciations in Embedded defect region in product, identify the type of defect.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, includes work
The calibration of industry CT detecting systems, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：
Tomography CT detects to be calculated with density depreciation：Sample is placed in turntable center, carries out tomography CT detections, detection parameters are
CT slice thicknesses (0.5~1.5) mm, ray source focus size (0.5~2.5) mm, tube voltage (100~450) kV, tube current
(1.5~5.5) mA, the time of integration (10~40) ms, row merge number (5~15), draw non-defective region and defect area respectively
CT density values, by formula (1) calculate defect area CT density depreciations.
Classifcation of flaws：By the CT density depreciation of defect area compared with the CT density depreciations of known defect, obtain
Go out defect type；
The CT density depreciations of known defect are：CT density depreciation (5~30) % of lamination defect；The CT density of gas hole defect
Depreciation ＞ 30%；The CT density depreciations ＜ 0 of high density inclusion defect, the high density, which is mingled with, refers to that its density is more than composite
Bulk density.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, includes work
The calibration of industry CT detecting systems, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：CT cuts into slices
Thickness is (0.8~1.2) mm.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, includes work
The calibration of industry CT detecting systems, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：Detection ginseng
Array is combined into ray source focus size (0.5~2.5) mm, tube voltage (150~300) kV, tube current (2.5~5.5) mA, integration
Time (20~40) ms, row merge number 5~10.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, includes work
The calibration of industry CT detecting systems, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：Detection ginseng
Array is combined into ray source focus size (0.5~2.5) mm, tube voltage (250~400) kV, tube current (1.9~3.5) mA, integration
Time (15~25) ms, row merge number 5~10.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, includes work
The calibration of industry CT detecting systems, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：Detection ginseng
Array is combined into ray source focus size (0.5~2.5) mm, tube voltage (350~420) kV, tube current (1.5~2.5) mA, integration
Time (20~30) ms, row merge number 10~15.
The method of the present invention that composite product internal flaw type is identified using lossless detection method, operation side
Just, reliability is high, applicability is wide, recognition speed is fast, artificial to judge the advantages that few by accident.Suitable for composite product internal flaw
X-ray tomography CT field of non destructive testing, the identification especially suitable for composite product internal flaw type.
Embodiment
The present invention is discussed in detail as specific embodiment using Filament Wound Composite product and pressing below：
Embodiment one
With external diameter 120mm, tubular mould that internal diameter 20mm, high 300mm two kinds of Material claddings of carbon fiber and epoxy form
Exemplified by compacting product, measurement process is described in detail.
(1) industry CT detecting system is calibrated：According to GJB5312-2004 to the CT spatial resolutions of industrial detection system, close
Degree resolution ratio is calibrated.
(2) tomography CT detections calculate with density depreciation：Using cutting thickness degree 1.0mm, focal spot size 2.5mm, tube voltage
150KV, tube current 5.5mA, time of integration 38ms, row merge the detection parameters of number 6 to two kinds of Material claddings of carbon fiber and epoxy
The tubular pressing formed carries out tomography CT detections, and the CT density in the CT defect densities region in non-defective region is surveyed respectively
Amount 5 times, the CT density values for measuring non-defective region are respectively 6.57,6.55,6.56,6.58,6.54；The CT density of defect area
Value is respectively 5.96,5.94,5.98,5.97,5.95；；The CT density averages in non-defective region are 6.56, the CT of defect area
Density average is 5.96, and it is 9.15% to calculate defect area density depreciation by formula (1).
(3) Classifcation of flaws：Compared with being (5~30) % with the density depreciation of known layered defect, defect class is determined
Type is layering.
Embodiment two
With external diameter 100mm, internal diameter 60mm, high the 280mm tubular formed by two kinds of Material claddings of high silica and phenolic aldehyde
Exemplified by pressing, measurement process is described in detail.
(1) industry CT detecting system is calibrated：According to GJB5312-2004 to the CT spatial resolutions of industrial detection system, close
Degree resolution ratio is calibrated；
(2) tomography CT detections calculate with density depreciation：Using cutting thickness degree 0.8mm, focal spot size 0.8mm, tube voltage
220KV, tube current 5mA, time of integration 26ms, row merge number 6 detection parameters to two kinds of Material claddings of high silica and phenolic aldehyde and
Into tubular Fabric tape winding product carry out tomography CT detections, the CT density in the CT defect densities region in non-defective region is distinguished
Measurement 5 times, it is respectively 4.56,4.50,4.54,4.61,4.53 to measure non-defective region CT density values；Defect area CT density values
Respectively 10.95,10.93,10.94,10.91,10.87；Non-defective region CT density averages are 4.55, and defect area T is close
It is 10.92 to spend average value, and it is -140% to calculate defect area density depreciation by formula (1).
(3) Classifcation of flaws：Compared with the density depreciation ＜ 0 of known high density inclusion defect, defect type is determined
It is that high density is mingled with.
Embodiment three
With most outside diameter 210mm, smallest end diameter 150mm, high 280mm two kinds of Material claddings of glass fibre and phenolic aldehyde
Exemplified by the taper Fabric tape winding product formed, measurement process is described in detail.
(1) industry CT detecting system is calibrated：According to GJB5312-2004 to the CT spatial resolutions of industrial detection system, close
Degree resolution ratio is calibrated.
(2) tomography CT detections calculate with density depreciation：Using cutting thickness degree 1.1mm, focal spot size 2.5mm, tube voltage
The detection parameters that 350KV, tube current 2.5mA, time of integration 20ms, row merge number 10 are answered two kinds of materials of glass fibre and phenolic aldehyde
Close the taper Fabric tape winding product formed and carry out tomography CT detections, to the CT density point in the CT defect densities region in non-defective region
Ce Liang not be 5 times, the CT density values for measuring non-defective region are respectively 4.37,4.35,4.36,4.38,4.34；The CT of defect area
Density value is respectively 3.79,3.80,3.76,3.78,3.77；The CT density averages in non-defective region are 4.36, defect area
CT density averages be 3.78, it is 13.30% to calculate defect area density depreciation by formula (1).
(3) Classifcation of flaws：Compared with being (5~30) % with the density depreciation of known layered defect, defect class is determined
Type is layering.
Example IV
With most outside diameter 350mm, smallest end diameter 200mm, high 600mm two kinds of Material claddings of carbon fiber and epoxy and
Into taper Fabric tape winding product exemplified by, be described in detail measurement process.
(1) industry CT detecting system is calibrated：According to GJB5312-2004 to the CT spatial resolutions of industrial detection system, close
Degree resolution ratio is calibrated.
(2) tomography CT detections calculate with density depreciation：Using cutting thickness degree 1.2mm, focal spot size 2.5mm, tube voltage
420KV, tube current 2.0mA, time of integration 20ms, row merge the detection parameters of number 10 to two kinds of Material claddings of carbon fiber and epoxy
The taper Fabric tape winding product formed carries out tomography CT detections, and non-defective region and defect area CT density are measured 5 times respectively,
It is respectively 6.78,6.74,6.79,6.77,6.76 to measure non-defective region CT density values；Defect area CT density values are respectively
2.46,2.45,2.43,2.42,2.47；Non-defective region CT density averages are 6.78, and defect area CT density averages are
2.45, defect area density is calculated by formula (1) and is reduced to 63.86%.
(3) Classifcation of flaws：Compared with being reduced to ＞ 30% with the density of known gas hole defect, identification defect type is gas
Hole.
Claims (5)
1. a kind of method that composite product internal flaw type is identified using lossless detection method, system is detected comprising industry CT
System calibration, tomography CT detections calculate with density depreciation, Classifcation of flaws process, it is characterised in that：
Tomography CT detects to be calculated with density depreciation：Sample is placed in turntable center, carries out tomography CT detections, detection parameters are cut for CT
Piece thickness 0.5mm~1.5mm, ray source focus size 0.5mm~2.5mm, tube voltage 100kV~450kV, tube current 1.5mA
~5.5mA, time of integration 10ms~40ms, row merge number 5~15, draw the CT density of non-defective region and defect area respectively
Value, the CT density depreciations of defect area are calculated by formula (1)；
Classifcation of flaws：By the CT density depreciation of defect area compared with the CT density depreciations of known defect, it must fall vacant
Fall into type；
The CT density depreciations of known defect are：The CT density depreciation 5%~30% of lamination defect；The CT density depreciations of gas hole defect
＞ 30%；The CT density depreciations ＜ 0 of high density inclusion defect, the high density, which is mingled with, refers to that its density is more than composite body
Density.
2. the method according to claim 1 that composite product internal flaw type is identified using lossless detection method,
It is characterized in that：CT slice thicknesses are 0.8mm~1.2mm.
3. the method according to claim 1 that composite product internal flaw type is identified using lossless detection method,
It is characterized in that：Detection parameters are combined as ray source focus size 0.5mm~2.5mm, tube voltage 150kV~300kV, tube current
2.5mA~5.5mA, time of integration 20ms~40ms, row merge number 5~10.
4. the method according to claim 1 that composite product internal flaw type is identified using lossless detection method,
Include the calibration of industry CT detecting system, tomography CT detections and the calculating of density depreciation, Classifcation of flaws process, it is characterised in that：
Detection parameters be combined as ray source focus size 0.5mm~2.5mm, tube voltage 250kV~400kV, tube current 1.9mA~
3.5mA, time of integration 15ms~25ms, row merge number 5~10.
5. the method according to claim 1 that composite product internal flaw type is identified using lossless detection method,
Include the calibration of industry CT detecting system, tomography CT detections and the calculating of density depreciation, Classifcation of flaws process, it is characterised in that：
Detection parameters be combined as ray source focus size 0.5mm~2.5mm, tube voltage 350kV~420kV, tube current 1.5mA~
2.5mA, time of integration 20ms~30ms, row merge number 10~15.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510482808.2A CN105021636B (en) | 2015-08-07 | 2015-08-07 | A kind of lossless detection method for identifying composite product internal flaw type |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510482808.2A CN105021636B (en) | 2015-08-07 | 2015-08-07 | A kind of lossless detection method for identifying composite product internal flaw type |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105021636A CN105021636A (en) | 2015-11-04 |
| CN105021636B true CN105021636B (en) | 2018-01-23 |
Family
ID=54411765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510482808.2A Active CN105021636B (en) | 2015-08-07 | 2015-08-07 | A kind of lossless detection method for identifying composite product internal flaw type |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105021636B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105973916B (en) * | 2016-04-26 | 2018-11-20 | 中国兵器工业集团第五三研究所 | The production method that breakthrough curve is used in the detection of composite material X-ray digital imagery |
| CN108436081A (en) * | 2018-03-06 | 2018-08-24 | 无锡市产品质量监督检验院 | A kind of test button 3D printing manufacturing process of preset defect |
| CN110031487A (en) * | 2019-03-04 | 2019-07-19 | 禾准电子科技（昆山）有限公司 | A kind of gluing lossless detection method |
| CN112102310B (en) * | 2020-09-27 | 2023-12-12 | 江苏恒宝智能***技术有限公司 | Method and system for detecting laying defects of prepreg filaments of composite material |
| CN115963121A (en) * | 2021-10-08 | 2023-04-14 | 同方威视技术股份有限公司 | Method, device, equipment and medium for acquiring characteristic information of detected object |
| CN117235463B (en) * | 2023-11-13 | 2024-01-30 | 北京科技大学 | Nondestructive testing method for alloy defect inner wall oxide film spatial distribution |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102023171A (en) * | 2010-11-12 | 2011-04-20 | 航天材料及工艺研究所 | Nondestructive testing method for characterizing inclusion defect types in composite material quantitatively by using CT value |
| CN102109498A (en) * | 2009-12-28 | 2011-06-29 | 天津工业大学 | Nondestructive testing system and testing analysis method for three-dimensional braided composite material |
| CN104316546A (en) * | 2014-10-23 | 2015-01-28 | 航天材料及工艺研究所 | Nondestructive tracking and evaluation method for quality of antenna housing made of composite material |
-
2015
- 2015-08-07 CN CN201510482808.2A patent/CN105021636B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102109498A (en) * | 2009-12-28 | 2011-06-29 | 天津工业大学 | Nondestructive testing system and testing analysis method for three-dimensional braided composite material |
| CN102023171A (en) * | 2010-11-12 | 2011-04-20 | 航天材料及工艺研究所 | Nondestructive testing method for characterizing inclusion defect types in composite material quantitatively by using CT value |
| CN104316546A (en) * | 2014-10-23 | 2015-01-28 | 航天材料及工艺研究所 | Nondestructive tracking and evaluation method for quality of antenna housing made of composite material |
Non-Patent Citations (2)
| Title |
|---|
| "工业CT技术检测喷管扩散段绝热层坯料的缺陷";李金鹿等;《工程塑料应用》;20110110;第39卷(第1期);第64-66页 * |
| 工业 CT 在树脂基复合材料缺陷检测中的应用;赵付宝等;《工程塑料应用》;20131110;第41卷(第11期);第96-98页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105021636A (en) | 2015-11-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105021636B (en) | A kind of lossless detection method for identifying composite product internal flaw type | |
| CN102023171B (en) | Nondestructive testing method for characterizing inclusion defect types in composite material quantitatively by using CT value | |
| US20190145913A1 (en) | Method and device for continuous non-destructive inspection of membrane-electrode assembly | |
| JP4734224B2 (en) | Buffer layer thickness measurement method | |
| CN109444180B (en) | X-ray detection method for NF series heat-proof material products | |
| Pejryd et al. | Computed tomography as a tool for examining surface integrity in drilled holes in CFRP composites | |
| CN105466998A (en) | Method for utilizing variable-frequency variable-magnetic field excitation to test hardness property of ferromagnetic material | |
| CN105196002B (en) | A kind of preparation method of Magnetic testing with coat ARTIFICIAL CRACK defect test block | |
| CN111239166A (en) | Microwave detection method for defects of carbon fiber wound composite gas cylinder | |
| CN104316546A (en) | Nondestructive tracking and evaluation method for quality of antenna housing made of composite material | |
| EP3671189A2 (en) | Testcomponent for non-destructive testing | |
| Maggi et al. | Ultrasonic calibration and certification of V1 and V2 type reference standard blocks for use in Non-Destructive Testing | |
| CN105973916B (en) | The production method that breakthrough curve is used in the detection of composite material X-ray digital imagery | |
| Guo et al. | Measurement of small defect testing accuracy in additive manufacturing alloy using industrial CT method | |
| Kim et al. | Non-destructive analysis of power insulators by frequency response function and three dimensional-computed tomography | |
| CN106610386B (en) | Dry-type transformer winding material rapid identification method and detection device based on X-ray dosage | |
| KR101657709B1 (en) | method for measuring the weight and component of coating layer | |
| CN109187597B (en) | X-ray digital imaging defect size measuring method | |
| Urayama et al. | Identifying the orientation of carbon fibers in carbon-fiber-reinforced plastic by eddy current testing with a differential probe | |
| Sahoo et al. | Comparison of NMR and microwave NDE methods for defect detection in composite structures | |
| KR100742840B1 (en) | A Method for measuring base coating thickness of electrical steel sheets | |
| CN103604392B (en) | A kind of assay method of the phosphating coat degree of depth | |
| CN112683933A (en) | Method for measuring radiation sensitivity of additive manufacturing multilayer structure detection | |
| Schuhmacher et al. | Quantifying Drilling Induced Delamination in Carbon-Fibre-Reinforced Epoxy Laminates Using a Fast, Manual and Mobile Ultrasonic-Based Procedure as Compared to Low-Magnification Microscopy | |
| Dragan et al. | Damage Detection and Size Quantification of FML with the Use of NDE |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |