CN108195856A - A kind of increasing material manufacturing material industry CT detection sensitivity test methods - Google Patents
A kind of increasing material manufacturing material industry CT detection sensitivity test methods Download PDFInfo
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- CN108195856A CN108195856A CN201711285281.XA CN201711285281A CN108195856A CN 108195856 A CN108195856 A CN 108195856A CN 201711285281 A CN201711285281 A CN 201711285281A CN 108195856 A CN108195856 A CN 108195856A
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- control sample
- increasing material
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/10—Different kinds of radiation or particles
- G01N2223/101—Different kinds of radiation or particles electromagnetic radiation
- G01N2223/1016—X-ray
Abstract
The present invention relates to a kind of increasing material manufacturing material industry CT detection sensitivity test methods, are related to technical field of nondestructive testing.The present invention produces same or similar with actual product structure by using increasing material manufacturing method, and the artificial defect of preset multiple types and size, imaging is detected test block using industry CT detection method, the size of findable minimum dimension defect is measured using metallographic analysing method, obtains increasing material manufacturing material industry CT detection sensitivities.
Description
Technical field
The present invention relates to technical field of nondestructive testing, and in particular to a kind of increasing material manufacturing material industry CT detection sensitivities are surveyed
Method for testing.
Background technology
Non-destructive testing (Non-destructive Testing, NDT) is a kind of not damage the pattern of tested sample with making
Under the premise of with performance, using a variety of physics and chemistry route, region is effectively examined the defects of to detection object inside
With test, the information such as typical defect tissue size, shape, position and property are determined, it is ensured that it can reach expected in use
Service life and safety.
The full name of industry CT (Industrial Computed Tomography) is industrial computed tomography scanning imagery,
Radiology and computer science with reference to and a new imaging technique generating, oneself be widely used in military affairs, space flight, aviation,
The fields such as automobile making, detectable object have guided missile, Precision Machinery Elements, military project product, ceramics and composite material, auto parts machinery
Deng.Industrial CT scan faultage image quality is to judge the core index of industrial CT system quality, and density resolution is usually used in practice
The defects of rate, spatial resolution characterize the picture quality of industry CT, but these technical parameters are not able to verify that INDUSTRIAL CT IMAGE
Accuracy of detection.It detects a kind of general method or standard not yet to verify industry CT for the industry CT of increasing material manufacturing material
The precision that system detects flaw sensitivity.
Invention content
(1) technical problems to be solved
The technical problem to be solved by the present invention is to：How a kind of increasing material system for regular shapes such as cylinder, cylinders is designed
The method that structure carries out industry CT detection sensitivity test is made, realizes the increasing material manufacturing structure to regular shapes such as cylinder, cylinders
Hole, lamination defect carry out accurate non-destructive testing.
(2) technical solution
In order to solve the above technical problem, the present invention provides a kind of tests of increasing material manufacturing material industry CT detection sensitivities
Method includes the following steps：
Step 1, the reference block of metal increasing material manufacturing material make, and the reference block has following characteristics：
1) material of control sample using it is identical with tested metal increasing material manufacturing product, radiation absorption characteristic is same or similar
Homogeneous material make；
2) control sample appearance and size is consistent with the full-size in tested metal increasing material manufacturing product testing position section, and
Radiation absorption characteristic is identical；
3) control sample thickness is more than the slice thickness of detection；
4) type of artificial defect and size are determined, and use according to type the defects of requiring to detect and flaw size
Increasing material manufacturing method artificial defect of preset determined type and size in control sample.
Step 2 carries out layered weighting using industry CT to one group of control sample, obtains the layered weighting figure of artificial defect
Picture；
Step 3 is measured the actual size of defect in control sample using metallographic analysing method, determines that industry CT can
The minimum dimension of different type defect in metal increasing material manufacturing material is detected, so that it is determined that technique CT equipment is to metal increasing material manufacturing
The detection sensitivity of material.
Preferably, the material of the control sample uses TA15.
Preferably, control sample diameter is determined as D=60mm.
Preferably, control sample thickness is determined as H=10mm, more than the slice thickness 1mm of detection.
Preferably, preset multiple artificial through-holes at control sample diameter 1/3D.
Preferably, the diameter of preset multiple artificial through-holes is respectively d=2mm, 1mm, 0.8mm, 0.5mm, 0.2mm.
(3) advantageous effect
The present invention produces, and preset multiple class same or similar with actual product structure by using increasing material manufacturing method
The artificial defect of type and size is detected test block imaging using industry CT detection method, is measured using metallographic analysing method
The size of findable minimum dimension defect obtains increasing material manufacturing material industry CT detection sensitivities.
Description of the drawings
Fig. 1 is increasing material manufacturing reference block structure chart；
Fig. 2 is through-hole industry CT subsidiary factory detection image.
Specific embodiment
To make the purpose of the present invention, content and advantage clearer, with reference to the accompanying drawings and examples, to the present invention's
Specific embodiment is described in further detail.
The present invention provides a kind of determining method of metal increasing material manufacturing material industry CT detection sensitivities, including walking as follows
Suddenly:
Step 1 makes the increasing material manufacturing reference block with following characteristics for cylinder increasing material manufacturing part：
1) material of control sample uses TA15, identical with tested increasing material manufacturing product；
2) control sample diameter D=60mm, consistent with tested increasing material manufacturing product size, cylinder basic structure is shown in Fig. 1；
3) control sample thickness H=10mm, more than the slice thickness 1mm of detection；
4) using increasing material manufacturing method at test block diameter 1/3D preset artificial through-hole, diameter d=2mm, 1mm, 0.8mm,
0.5mm、0.2mm。
Step 2 carries out layered weighting using industry CT to one group of test block, obtains the layered weighting image of artificial defect, sees
Attached drawing 2；
The through-hole of minimum dimension uses the side of Metallographic Analysis in the reference block found in step 3, industry CT detection image
Method is measured, and determines that industry CT can detect the minimum dimension of different type defect in metal increasing material manufacturing material, so that it is determined that
Technique CT equipment is to the detection sensitivity of metal increasing material manufacturing material.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformation can also be made, these are improved and deformation
Also it should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of increasing material manufacturing material industry CT detection sensitivity test methods, which is characterized in that include the following steps：
Step 1, the reference block of metal increasing material manufacturing material make, and the reference block has following characteristics：
1) material of control sample is using same or similar equal of, radiation absorption characteristic identical with tested metal increasing material manufacturing product
Even material makes；
2) control sample appearance and size is consistent with the full-size in tested metal increasing material manufacturing product testing position section, and ray
Absorption characteristic is identical；
3) control sample thickness is more than the slice thickness of detection；
4) type of artificial defect and size are determined, and using increasing material according to type the defects of requiring to detect and flaw size
Manufacturing method artificial defect of preset determined type and size in control sample；
Step 2 carries out layered weighting using industry CT to one group of control sample, obtains the layered weighting image of artificial defect；
Step 3 is measured the actual size of defect in control sample using metallographic analysing method, determines that industry CT can detect
The minimum dimension of different type defect in metal increasing material manufacturing material, so that it is determined that technique CT equipment is to metal increasing material manufacturing material
Detection sensitivity.
2. the method as described in claim 1, which is characterized in that in step 1, the material of the control sample uses TA15.
3. the method as described in claim 1, which is characterized in that in step 1, the control sample diameter is determined as D=60mm.
4. the method as described in claim 1, which is characterized in that in step 1, the control sample thickness is determined as H=10mm,
More than the slice thickness 1mm of detection.
5. method according to any one of claims 1 to 4, which is characterized in that pre- at the control sample diameter 1/3D
Put multiple artificial through-holes.
6. method as claimed in claim 5, which is characterized in that the diameter of preset multiple artificial through-holes be respectively d=2mm,
1mm、0.8mm、0.5mm、0.2mm。
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| CN201711285281.XA CN108195856A (en) | 2017-12-07 | 2017-12-07 | A kind of increasing material manufacturing material industry CT detection sensitivity test methods |
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| CN201711285281.XA CN108195856A (en) | 2017-12-07 | 2017-12-07 | A kind of increasing material manufacturing material industry CT detection sensitivity test methods |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108982538A (en) * | 2018-07-12 | 2018-12-11 | 北京星航机电装备有限公司 | A kind of defect of metal material increasing material manufacturing product and metallographic structure detection method |
| CN110231353A (en) * | 2019-05-17 | 2019-09-13 | 中国石油化工股份有限公司 | Finned tube detection method based on X-ray digital imaging technology |
| CN110824021A (en) * | 2019-11-12 | 2020-02-21 | 中广核检测技术有限公司 | A standard test block subassembly for additive manufacturing nondestructive test |
| CN111207985A (en) * | 2020-04-22 | 2020-05-29 | 中国航发上海商用航空发动机制造有限责任公司 | Nondestructive testing method for crack defects, testing standard part and manufacturing method thereof |
| CN111207986A (en) * | 2020-04-22 | 2020-05-29 | 中国航发上海商用航空发动机制造有限责任公司 | Non-destructive testing method for non-fusion defect, testing standard part and manufacturing method thereof |
| EP3671189A3 (en) * | 2018-11-30 | 2020-09-09 | Airbus Operations Limited | Testcomponent for non-destructive testing |
| CN111896567A (en) * | 2020-07-23 | 2020-11-06 | 航发优材(镇江)增材制造有限公司 | Industrial CT minimum recognizable defect capability evaluation method |
| CN112666118A (en) * | 2020-11-24 | 2021-04-16 | 北京星航机电装备有限公司 | Method for measuring terahertz detection sensitivity of thermal adhesion-resistant layer |
| CN112666263A (en) * | 2020-11-24 | 2021-04-16 | 北京星航机电装备有限公司 | Method for measuring welding ultrasonic detection sensitivity of lightweight wing rudder |
| CN112683933A (en) * | 2020-11-30 | 2021-04-20 | 北京星航机电装备有限公司 | Method for measuring radiation sensitivity of additive manufacturing multilayer structure detection |
| CN112903729A (en) * | 2021-01-26 | 2021-06-04 | 西安增材制造国家研究院有限公司 | Industrial online CT for additive manufacturing |
| CN113049459A (en) * | 2019-12-26 | 2021-06-29 | 中国航发商用航空发动机有限责任公司 | Pore comparison test block for additive manufacturing and manufacturing method thereof |
| CN113484343A (en) * | 2021-06-25 | 2021-10-08 | 成都飞机工业（集团）有限责任公司 | Detection method for detection performance of hole type defects of 3D printing workpiece |
| WO2021212847A1 (en) * | 2020-04-22 | 2021-10-28 | 中国航发上海商用航空发动机制造有限责任公司 | Methods for preparing prefabricated crack defect and built-in crack defect, and prefabricated member |
| CN113959798A (en) * | 2021-08-26 | 2022-01-21 | 南昌航空大学 | Method for designing and processing contrast sample for radiographic inspection of internal flow passage defects through selective laser melting and additive manufacturing |
| CN115178750A (en) * | 2022-05-16 | 2022-10-14 | 航材国创(青岛)高铁材料研究院有限公司 | Titanium alloy metal phased array standard test block and preparation method thereof |
| RU2808296C1 (en) * | 2020-04-22 | 2023-11-28 | Аесс Шанхай Кемешл Эйркрафт Энджин Мэньюфэкчуринг Ко., Лтд. | Method for preparing prefabricated defects in form of cracks in additive manufacturing of metal parts and prefabricated part manufactured by this method |
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|---|---|---|---|---|
| CN108982538A (en) * | 2018-07-12 | 2018-12-11 | 北京星航机电装备有限公司 | A kind of defect of metal material increasing material manufacturing product and metallographic structure detection method |
| EP3671189A3 (en) * | 2018-11-30 | 2020-09-09 | Airbus Operations Limited | Testcomponent for non-destructive testing |
| CN110231353A (en) * | 2019-05-17 | 2019-09-13 | 中国石油化工股份有限公司 | Finned tube detection method based on X-ray digital imaging technology |
| CN110824021A (en) * | 2019-11-12 | 2020-02-21 | 中广核检测技术有限公司 | A standard test block subassembly for additive manufacturing nondestructive test |
| CN113049459A (en) * | 2019-12-26 | 2021-06-29 | 中国航发商用航空发动机有限责任公司 | Pore comparison test block for additive manufacturing and manufacturing method thereof |
| JP7450757B2 (en) | 2020-04-22 | 2024-03-15 | 中国航発上海商用航空発動機製造有限責任公司 | Non-destructive inspection method for unfused defects, inspection standard product and its manufacturing method |
| WO2021212893A1 (en) * | 2020-04-22 | 2021-10-28 | 中国航发上海商用航空发动机制造有限责任公司 | Nondestructive testing method for crack defects, and testing standard part and manufacturing method therefor |
| CN111207985A (en) * | 2020-04-22 | 2020-05-29 | 中国航发上海商用航空发动机制造有限责任公司 | Nondestructive testing method for crack defects, testing standard part and manufacturing method thereof |
| RU2808972C1 (en) * | 2020-04-22 | 2023-12-05 | Аесс Шанхай Кемешл Эйркрафт Энджин Мэньюфэкчуринг Ко., Лтд. | Method of non-destructive testing for crack-type defects, standard part for testing and method of its production |
| RU2808971C1 (en) * | 2020-04-22 | 2023-12-05 | Аесс Шанхай Кемешл Эйркрафт Энджин Мэньюфэкчуринг Ко., Лтд. | Method of non-destructive testing for lof-type defects, standard part for testing and method of its production |
| RU2808296C1 (en) * | 2020-04-22 | 2023-11-28 | Аесс Шанхай Кемешл Эйркрафт Энджин Мэньюфэкчуринг Ко., Лтд. | Method for preparing prefabricated defects in form of cracks in additive manufacturing of metal parts and prefabricated part manufactured by this method |
| CN111207986A (en) * | 2020-04-22 | 2020-05-29 | 中国航发上海商用航空发动机制造有限责任公司 | Non-destructive testing method for non-fusion defect, testing standard part and manufacturing method thereof |
| JP7450758B2 (en) | 2020-04-22 | 2024-03-15 | 中国航発上海商用航空発動機製造有限責任公司 | Non-destructive inspection method for crack defects, inspection standard product and its manufacturing method |
| WO2021212847A1 (en) * | 2020-04-22 | 2021-10-28 | 中国航发上海商用航空发动机制造有限责任公司 | Methods for preparing prefabricated crack defect and built-in crack defect, and prefabricated member |
| WO2021212894A1 (en) * | 2020-04-22 | 2021-10-28 | 中国航发上海商用航空发动机制造有限责任公司 | Non-destructive testing method for incomplete fusion defect, and testing standard part and manufacturing method therefor |
| CN111896567A (en) * | 2020-07-23 | 2020-11-06 | 航发优材(镇江)增材制造有限公司 | Industrial CT minimum recognizable defect capability evaluation method |
| CN112666263A (en) * | 2020-11-24 | 2021-04-16 | 北京星航机电装备有限公司 | Method for measuring welding ultrasonic detection sensitivity of lightweight wing rudder |
| CN112666118A (en) * | 2020-11-24 | 2021-04-16 | 北京星航机电装备有限公司 | Method for measuring terahertz detection sensitivity of thermal adhesion-resistant layer |
| CN112666118B (en) * | 2020-11-24 | 2023-05-02 | 北京星航机电装备有限公司 | Determination method for terahertz detection sensitivity of thermal anti-adhesion layer |
| CN112666263B (en) * | 2020-11-24 | 2023-06-06 | 北京星航机电装备有限公司 | Determination method for welding ultrasonic detection sensitivity of lightweight wing rudder |
| CN112683933A (en) * | 2020-11-30 | 2021-04-20 | 北京星航机电装备有限公司 | Method for measuring radiation sensitivity of additive manufacturing multilayer structure detection |
| CN112903729B (en) * | 2021-01-26 | 2023-03-28 | 西安增材制造国家研究院有限公司 | Industrial online CT for additive manufacturing |
| CN112903729A (en) * | 2021-01-26 | 2021-06-04 | 西安增材制造国家研究院有限公司 | Industrial online CT for additive manufacturing |
| CN113484343A (en) * | 2021-06-25 | 2021-10-08 | 成都飞机工业（集团）有限责任公司 | Detection method for detection performance of hole type defects of 3D printing workpiece |
| CN113959798A (en) * | 2021-08-26 | 2022-01-21 | 南昌航空大学 | Method for designing and processing contrast sample for radiographic inspection of internal flow passage defects through selective laser melting and additive manufacturing |
| CN115178750A (en) * | 2022-05-16 | 2022-10-14 | 航材国创(青岛)高铁材料研究院有限公司 | Titanium alloy metal phased array standard test block and preparation method thereof |
| CN115178750B (en) * | 2022-05-16 | 2024-02-27 | 航材国创(青岛)高铁材料研究院有限公司 | Titanium alloy metal phased array standard test block and preparation method thereof |
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Application publication date: 20180622 |