CN105021636A - Nondestructive testing method for recognizing interior defect types of composite product - Google Patents
Nondestructive testing method for recognizing interior defect types of composite product Download PDFInfo
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Abstract
The invention belongs to the technical field of nondestructive testing. CT density dropping values corresponding to different types of defects are obtained by utilizing the relation of defective areas and non-defective areas in the composition products and a CT density value and arranging a defect mode in advance; the types of the defects are recognized by comparing the CT density dropping values. The nondestructive testing method for recognizing interior defect types of the composite product comprises the steps of industrial CT detecting system calibration, fault CT detection and density dropping value calculation and defect type recognition. Fault CT detection and density dropping value calculation are conducted on a sample, the CT density dropping values of the defective areas are compared with the CT density dropping values of the known defects, and then the defect types are obtained. The method has the advantages that operation is convenient, reliability is high, the application range is wide, the recognition speed is high, and the number of man-made misjudgments is small. The method is suitable for the field of X-ray fault CT nondestructive detecting of defects in the composite product, especially for recognition of interior defect types of the composite product.
Description
Technical field
The invention belongs to technical field of nondestructive testing, relate to composite product Dynamic Non-Destruction Measurement, particularly the Non-Destructive Testing of composite product inherent vice type and identification.
Background technology
Compound substance has the characteristic such as high specific strength and specific modulus, good fatigue resistence and sound-absorbing, sound insulation, energy-absorbing, is widely used in the fields such as Aeronautics and Astronautics, electric power, metallurgy, automobile making.Because composite product affects by factors such as structure, starting material, preparation technologies, the defect such as easily produce pore, layering in preparation process, be mingled with, these defects have a strong impact on the safe application performance of composite product.
Industry CT is used widely in fields such as Aeronautics and Astronautics, weapons, nuclear energy, electronics, petrochemical industry, machineries as the Dynamic Non-Destruction Measurement of advanced person.X-ray tomography CT is used for the Non-Destructive Testing of composite product, utilize narrow X-ray beam to scan the cross-sectional view that detected object is selected, obtain tomography CT image, intuitively can obtain the position of minutia as defect, shape, size etc. of section from CT image, accurately can measure flaw size, CT density value etc.
CN102023171 discloses " lossless detection method by CT value quantitative composite inner inclusion defect type ", simulate sample by inclusion defect, set up dissimilar, the inclusion defect CT value of different size and pixel relationship curve spectrum, this collection of illustrative plates is utilized in actual testing process, the CT value of the pixel method of average to inclusion defect is adopted to carry out Measurement accuracy, thus the type of quantitative inclusion defect, the method is only for inner inclusion defect type, but for layering, then not relating to of pore inherent vice type, the pore of None-identified composite product inside, lamination defect.
Summary of the invention
The inventive method is intended to overcome the deficiencies in the prior art, provides a kind of lossless detection method identifying composite product inherent vice type.
The present invention seeks to realize like this: the relation utilizing composite product inherent vice region and non-defective region and CT density value, by the mode of preset defect, draws the CT density depreciation that dissimilar defect is corresponding; Compare the CT density depreciation in defect area and Embedded defect region in composite product, the type of defect recognition.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, comprises the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that:
Tomography CT detects and calculates with density depreciation: sample is placed in turntable center, carry out tomography CT detection, detected parameters is CT slice thickness (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, integral time (10 ~ 40) ms, row merging number (5 ~ 15), draw the CT density value of non-defective region and defect area respectively, calculate the CT density depreciation of defect area by formula (1).
Classifcation of flaws: the CT density depreciation of the CT density depreciation of defect area and known defect is compared, draws defect type;
The CT density depreciation of known defect is: CT density depreciation (5 ~ 30) % of lamination defect; The CT density depreciation > 30% of gas hole defect; The CT density depreciation < 0 of high density inclusion defect, described high density is mingled with and refers to that its density is greater than composite body density.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, comprise the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that: CT slice thickness is (0.8 ~ 1.2) mm.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, comprise the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that: detected parameters is combined as ray source focus size (0.5 ~ 2.5) mm, tube voltage (150 ~ 300) kV, tube current (2.5 ~ 5.5) mA, integral time (20 ~ 40) ms, row merging several 5 ~ 10.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, comprise the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that: detected parameters is combined as ray source focus size (0.5 ~ 2.5) mm, tube voltage (250 ~ 400) kV, tube current (1.9 ~ 3.5) mA, integral time (15 ~ 25) ms, row merging several 5 ~ 10.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, comprise the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that: detected parameters is combined as ray source focus size (0.5 ~ 2.5) mm, tube voltage (350 ~ 420) kV, tube current (1.5 ~ 2.5) mA, integral time (20 ~ 30) ms, row merging several 10 ~ 15.
The method of the employing lossless detection method identification composite product inherent vice type that the present invention relates to, easy to operate, reliability is high, applicability is wide, recognition speed is fast, the advantages such as artificial erroneous judgement is few.Be applicable to the x-ray tomography CT field of non destructive testing of composite product inherent vice, be specially adapted to the identification of composite product inherent vice type.
Embodiment
Below with Filament Wound Composite goods and pressing for specific embodiment introduces the present invention in detail:
Embodiment one
With external diameter 120mm, the tubular pressing that the carbon fiber of internal diameter 20mm, high 300mm and epoxy bi-material are composited is example, describes measuring process in detail.
(1) industry CT detection system calibration: the CT spatial resolution of industrial detection system, density resolution are calibrated according to GJB5312-2004.
(2) tomography CT detects and calculates with density depreciation: adopt cut layer thickness 1.0mm, focal spot size 2.5mm, tube voltage 150KV, tube current 5.5mA, integral time 38ms, the capable detected parameters merging several 6 carries out tomography CT detection to the tubular pressing that carbon fiber and epoxy bi-material are composited, 5 times are measured respectively to the CT density in the CT defect density region in non-defective region, the CT density value recording non-defective region is respectively 6.57,6.55,6.56,6.58,6.54; The CT density value of defect area is respectively 5.96,5.94,5.98,5.97,5.95; ; The CT density average in non-defective region is 6.56, and the CT density average of defect area is 5.96, and calculating defect area density depreciation by formula (1) is 9.15%.
(3) Classifcation of flaws: compared with being (5 ~ 30) % with the density depreciation of known layered defect, determine that defect type is layering.
Embodiment two
With external diameter 100mm, the tubular pressing be composited by high silica and phenolic aldehyde bi-material of internal diameter 60mm, high 280mm is example, describes measuring process in detail.
(1) industry CT detection system calibration: the CT spatial resolution of industrial detection system, density resolution are calibrated according to GJB5312-2004;
(2) tomography CT detects and calculates with density depreciation: adopt cut layer thickness 0.8mm, focal spot size 0.8mm, tube voltage 220KV, tube current 5mA, integral time 26ms, the capable detected parameters merging several 6 carries out tomography CT detection to the tubular Fabric tape winding goods that high silica and phenolic aldehyde bi-material are composited, 5 times are measured respectively to the CT density in the CT defect density region in non-defective region, record non-defective region CT density value and be respectively 4.56,4.50,4.54,4.61,4.53; Defect area CT density value is respectively 10.95,10.93,10.94,10.91,10.87; Non-defective region CT density average is 4.55, and defect area T density average is 10.92, and calculating defect area density depreciation by formula (1) is-140%.
(3) Classifcation of flaws: compared with the density depreciation < 0 of known high density inclusion defect, determines that defect type is that high density is mingled with.
Embodiment three
With most outside diameter 210mm, smallest end diameter 150mm, the taper Fabric tape winding goods that the glass fibre of high 280mm and phenolic aldehyde bi-material are composited are example, describe measuring process in detail.
(1) industry CT detection system calibration: the CT spatial resolution of industrial detection system, density resolution are calibrated according to GJB5312-2004.
(2) tomography CT detects and calculates with density depreciation: adopt cut layer thickness 1.1mm, focal spot size 2.5mm, tube voltage 350KV, tube current 2.5mA, integral time 20ms, the capable detected parameters merging several 10 carries out tomography CT detection to the taper Fabric tape winding goods that glass fibre and phenolic aldehyde bi-material are composited, 5 times are measured respectively to the CT density in the CT defect density region in non-defective region, the CT density value recording non-defective region is respectively 4.37,4.35,4.36,4.38,4.34; The CT density value of defect area is respectively 3.79,3.80,3.76,3.78,3.77; The CT density average in non-defective region is 4.36, and the CT density average of defect area is 3.78, and calculating defect area density depreciation by formula (1) is 13.30%.
(3) Classifcation of flaws: compared with being (5 ~ 30) % with the density depreciation of known layered defect, determine that defect type is layering.
Embodiment four
With most outside diameter 350mm, smallest end diameter 200mm, the taper Fabric tape winding goods that the carbon fiber of high 600mm and epoxy bi-material are composited are example, describe measuring process in detail.
(1) industry CT detection system calibration: the CT spatial resolution of industrial detection system, density resolution are calibrated according to GJB5312-2004.
(2) tomography CT detects and calculates with density depreciation: adopt and cut layer thickness 1.2mm, focal spot size 2.5mm, tube voltage 420KV, tube current 2.0mA, integral time 20ms, row merge several 10 detected parameters tomography CT detection is carried out to the taper Fabric tape winding goods that carbon fiber and epoxy bi-material are composited, 5 times are measured respectively to non-defective region and defect area CT density, record non-defective region CT density value and be respectively 6.78,6.74,6.79,6.77,6.76; Defect area CT density value is respectively 2.46,2.45,2.43,2.42,2.47; Non-defective region CT density average is 6.78, and defect area CT density average is 2.45, calculates defect area density reduce to 63.86% by formula (1).
(3) Classifcation of flaws: compared with reducing to > 30% with the density of known gas hole defect, defect recognition type is pore.
Claims (5)
1. adopt a method for lossless detection method identification composite product inherent vice type, comprise the calibration of industry CT detection system, tomography CT detection calculates with density depreciation, Classifcation of flaws process, it is characterized in that:
Tomography CT detects and calculates with density depreciation: sample is placed in turntable center, carry out tomography CT detection, detected parameters be CT slice thickness 0.5mm ~ 1.5mm, ray source focus size 0.5mm ~ 2.5mm, tube voltage 100kV ~ 450kV, tube current 1.5mA ~ 5.5mA, integral time 10ms ~ 40ms, row merge several 5 ~ 15, draw the CT density value of non-defective region and defect area respectively, calculate the CT density depreciation of defect area by formula (1).
Classifcation of flaws: the CT density depreciation of the CT density depreciation of defect area and known defect is compared, draws defect type;
The CT density depreciation of known defect is: the CT density depreciation 5% ~ 30% of lamination defect; The CT density depreciation > 30% of gas hole defect; The CT density depreciation < 0 of high density inclusion defect, described high density is mingled with and refers to that its density is greater than composite body density.
2. the method for employing lossless detection method identification composite product inherent vice type according to claim 1, is characterized in that: CT slice thickness is 0.8mm ~ 1.2mm.
3. the method for employing lossless detection method identification composite product inherent vice type according to claim 1, is characterized in that: detected parameters be combined as ray source focus size 0.5mm ~ 2.5mm, tube voltage 150kV ~ 300kV, tube current 2.5mA ~ 5.5mA, integral time 20ms ~ 40ms, row merge several 5 ~ 10.
4. the method for employing lossless detection method identification composite product inherent vice type according to claim 1, comprise industry CT detection system calibration, tomography CT detect with density depreciation calculates, Classifcation of flaws process, it is characterized in that: detected parameters be combined as ray source focus size 0.5mm ~ 2.5mm, tube voltage 250kV ~ 400kV, tube current 1.9mA ~ 3.5mA, integral time 15ms ~ 25ms, row merging several 5 ~ 10.
5. the method for employing lossless detection method identification composite product inherent vice type according to claim 1, comprise industry CT detection system calibration, tomography CT detect with density depreciation calculates, Classifcation of flaws process, it is characterized in that: detected parameters be combined as ray source focus size 0.5mm ~ 2.5mm, tube voltage 350kV ~ 420kV, tube current 1.5mA ~ 2.5mA, integral time 20ms ~ 30ms, row merging several 10 ~ 15.
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| CN105973916A (en) * | 2016-04-26 | 2016-09-28 | 中国兵器工业集团第五三研究所 | Making method of penetration curve for composite material X-ray digital imaging detection |
| 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 |
| CN112102310A (en) * | 2020-09-27 | 2020-12-18 | 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 |
| WO2023056940A1 (en) * | 2021-10-08 | 2023-04-13 | 同方威视技术股份有限公司 | Method and apparatus for acquiring feature information of object to be inspected, device, and medium |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105973916A (en) * | 2016-04-26 | 2016-09-28 | 中国兵器工业集团第五三研究所 | Making method of penetration curve for composite material X-ray digital imaging detection |
| 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 |
| CN112102310A (en) * | 2020-09-27 | 2020-12-18 | 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 |
| 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 |
| WO2023056940A1 (en) * | 2021-10-08 | 2023-04-13 | 同方威视技术股份有限公司 | Method and apparatus for acquiring feature information of object to be inspected, device, and medium |
| CN117235463A (en) * | 2023-11-13 | 2023-12-15 | 北京科技大学 | Nondestructive testing method for alloy defect inner wall oxide film spatial distribution |
| 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 |
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