CN104198505A - Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines - Google Patents
Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines Download PDFInfo
- Publication number
- CN104198505A CN104198505A CN201410272503.4A CN201410272503A CN104198505A CN 104198505 A CN104198505 A CN 104198505A CN 201410272503 A CN201410272503 A CN 201410272503A CN 104198505 A CN104198505 A CN 104198505A
- Authority
- CN
- China
- Prior art keywords
- image
- welding joint
- flat panel
- ray tube
- welding
- 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.)
- Pending
Links
Abstract
The invention discloses a microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines, and relates to the field of pressure pipelines detection technology in petroleum industry. The method comprises the steps: a, arranging the microfocus three-dimensional CT imaging position; b, adjusting the position of a welding joint; c, adjusting an image; d, acquiring a sectioned image of the welding joint; e, performing image reconstruction; and f, comparing with an acquired image on a computer to observe a welding defect detection result displayed on an image, and performing defect grade evaluation. The detection method has the advantages of high detection precision, good reliability and the like, is especially capable of reproducing a three-dimensional object and visually obtaining the position, the shape, the size and other information of a defect, and helps to solve the problems about space positioning, depth quantification and integral determination on the nature for the defect.
Description
Technical field
The present invention relates to the pressure pipeline detection technique field of petroleum industry, exactly relate to a kind of micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality.
Background technology
Tygon (PE) pipeline has many advantages, and for example good decay resistance, welding performance, environmental-protecting performance, mechanical property in longer serviceable life, lightweight, easy to connect etc., therefore enjoy combustion gas circle favor.In each city, in low-pressure fuel gas piping system, all using polyethylene pipe as first-selected tubing.In city gas pipeline, the method for attachment between polyethylene pipe is mainly sweat soldering.The method strong adaptability, simple to operate and cost is low, in engineering, is widely adopted.Its technical process is as follows: clamping pipe part in frame, face of weld is carried out after milling, with hot plate, it is heated, after having heated, take out hot plate, closed frame, make face of weld band press contacts, joint is cooling gradually, and two face of welds slowly combine together, forms tightly firmly polyethylene pipe welding joint.
Pipe hot melting connector cannot be accomplished with body in full accord, and joint is the weakest place of polyethylene pipe, and the defect of joint is that pipe safety moves maximum threat.The defect that polyethylene pipe welding joint place may exist has cold welding, crosses weldering, weld seam is too short, misalign, crackle, hole and fusion face slag inclusion etc.Improve the security of polyethylene pipe, must carry out detecting effectively reliably to these defects, could take measures in time, prevent even more serious accident.
The detection method of polyethylene pipe welding joint has destructive detection and non-destructive to detect two kinds, and destructive detection is a kind of sampling Detection method, cannot detect for field joint joint, is mainly used in the product development of welding machine producer.Non-destructive detects and comprises visual detection and Non-Destructive Testing.Visual detection is according to engineering experience, judges the quality of welding quality by visual inspection pipe joint outward appearance and size, has significant limitation, poor reliability, and cannot observe the inherent vice of welding.Non-Destructive Testing mainly comprises the detection method of Ultrasonic Detection and Microwave Scanning.Ultrasonic detecting technology can reflect section of tubing inherent vice state, but because tygon is a kind of macromolecular material, it is large to the absorption of ultrasonic energy and loss, easily increase the scattering of sound wave, the difficulty detecting is strengthened, and the detection of Ultrasonic Detection manufacturability defect (as cold welding) is comparatively difficult.Though Microwave Scanning technology is not used couplant, need to before detection, butt junction process, increase the complicacy of detecting step.Maximum problem is, the result that above these Dynamic Non-Destruction Measurements obtain is photo or signal graph, is X-Y scheme, needs, through distinguishing and analyze the relevant information that just can obtain defect, can not intuitively react locus, size and the type of defect.
Comparatively speaking, Ultrasonic Detection is effective method comparatively at present; In recent years, < < Non-Destructive Testing polyethylene pipeline weld joint Ultrasonic Detection > > (JB/T10662-2006) proposed standard is usingd as foundation in a lot of checks, detection unit, and polyethylene pipe welding joint is carried out to ultrasound examination; Ultrasound wave can be realized the detection to the macroscopical weld defects in common inside, but sensitivity is not high, can not differentiate granule defect etc.; And be difficult to detect the defect causing because of welding technology (as temperature, pressure etc.), as cold welding; Cold welding defect is dangerous large and be difficult to find, this be because most cold welding to show as welding joint good, but in fact fusion area just just forms, the tygon molecule of contact bed is diffusion and entanglement fully, the degree of depth of permeating between molecule is not enough, and joint strength of joint is inadequate; In addition, tygon is less than the metal material velocity of sound, and acoustic attenuation coefficient is large, and ultrasonic echo is little, is not easy defect qualitatively, quantitative, affects the accuracy of testing result, has also increased the difficulty of Ultrasonic Detection simultaneously.
Through overtesting, find, Microwave Scanning method can detect cold welding defect, but the method is on the whole also in the desk study stage, and has only proved the validity of a few defects detection such as incomplete fusion, crackle at present.
On the basis that domestic scholars detects in conventional ultrasound, do a large amount of research, and obtained new progress.2008, professor Zheng Jinyang etc. proposed polyethylene pipe hot melt welding joint coupling focus supersonic wave detecting method and pick-up unit first, but are not widely used in engineering practice.
The Yu Runqiao of key lab of the Dynamic Non-Destruction Measurement Ministry of Education of Nanchang University of aviation etc. has measured vertical transverse wave velocity and the sweat soldering joint acoustic attenuation coefficient of polyethylene pipe, has determined the acoustical behavior of polyethylene pipe.Adopt the theoretical noise of removing of wavelet field denoising, improved the signal to noise ratio (S/N ratio) of detection of echoes.Test shows, ultrasonic detection method is applicable to the detection of polyethylene pipe hot melt welding quality, but its accuracy and on-the-spot applicability need to improve.
Summary of the invention
The present invention is intended to for the existing defect of above-mentioned prior art and deficiency, a kind of micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality is provided, this detection method has the advantages such as accuracy of detection is high, good reliability, especially can reproduce three-dimensional body, intuitively obtain the information such as the position, shape of defect and size, solved space orientation to defect, the degree of depth quantitatively and comprehensive problem qualitatively.
The present invention is by adopting following technical proposals to realize:
A micro-focus three-D CT imaging detection method for polyethylene pipe hot melt welding quality, is characterized in that step comprises:
A, arrange micro-focus three-D CT imaging device: choose the X-ray tube and the flat panel detector that complement one another and use, flat panel detector is connected with the computing machine that is integrated with execution three-D CT imaging executive routine, X-ray tube and flat panel detector are placed in respectively the two ends of detection platform, in the detection platform between X-ray tube and flat panel detector, arrange welding joint, and welding joint can rotate freely and can move freely between X-ray tube and flat panel detector;
B, welding joint position are adjusted: open X-ray tube, cone type X-ray bundle circumferentially and radially irradiates welding joint along welding joint, under the initial voltage and current conditions of X-ray tube, and under the initial position of welding joint, computing machine obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as initial pictures;
Then regulate the shift position of welding joint between X-ray tube and flat panel detector, computing machine again obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as adjusting image;
Contrast initial pictures, when adjusting image optimum, determines the position of welding joint between X-ray tube and flat panel detector, this detection position of Computer Storage;
C, Image Adjusting: regulate the tube voltage of X-ray tube to 160KV, tube current to 160
, make obtained gradation of image value in 10000 to 52000 scope;
D, obtain the sectioning image of welding joint: when needs detect welding joint, welding joint is moved into X-ray beam scope, open X-ray tube, set detected parameters, carry out CT scan step, X-ray beam penetrates welding joint, by flat panel detector, measure each measuring position and put corresponding decay ray signal, after amplification and analog to digital conversion, send into computing machine and carry out image reconstruction, this image is a sectional drawing of this welding joint, is called sectioning image; Then, welding joint is done spinning campaign, X-ray beam passes welding downhole joint from other angle, duplicate measurements obtains decay ray signal, deamplification is sent into the process that computing machine carries out image reconstruction after amplification and analog-to-digital conversion process, obtain each sectional drawing of welding joint, and then obtain a series of sectioning image sequences;
E, carries out image are rebuild: on computers a series of sectioning image sequences are redeveloped into 3-D view, image is processed and preserved;
The image obtaining on f, contrast computing machine, observes the weld defects detection result showing on image, and carries out defect rank evaluation.
Described b step and c step are carried out or order transposing simultaneously.
Between c step and d step, also there is image calibration step: welding joint is shifted out to X-ray beam scope, determine the number that obtains blank image, and open X-ray tube, and open under the image correction function in computing machine and obtain any single image in blank image, whether normally observe correcting image, if undesired, debug, the mode of debugging belongs to prior art, automatically completes, until meet the demands by an instruction repertorie;
In described a step, welding joint is that the turning axle realization by being arranged in detection platform rotates freely, and when detecting the detected image of the not coplanar of welding joint, rotating welding joint detects to suitable face.
In described a step, turning axle is to coordinate by the amplification axle with arranging in detection platform, realizes welding joint moving freely between X-ray tube and flat panel detector, thereby determines the imaging best magnification of welding joint.
Described X-ray tube is chosen the X-ray tube of the micro-focus of 240KV, and tube current scope is 0.01 ~ 3mA, and the flat panel detector of supporting employing 16 bit resolutions.
In described d step, the detection number that setting detected parameters refers to setting is between 600-1000.
Compared with prior art, the beneficial effect that the present invention reaches is as follows:
One, " welding joint can rotate freely " in a step of the present invention, thereby can realize the comprehensive detection of welding joint, thus can not omit the detection to sweat soldering defect; " welding joint can move freely between X-ray tube and flat panel detector " thereby can freely adjust the imaging best magnification of welding joint, obtains image more clearly.
Two, in the present invention, adopt the initial position of Welded Joints, initial voltage and the initial current of X-ray tube are adjusted, according to initial pictures and adjustment image, thereby obtain the mode of optimum position, optimum voltage and electric current, can make imaging more clear, further guarantee the quality of imaging, thereby can pass judgment on more exactly sweat soldering defect; Particularly, regulate the tube voltage of X-ray tube to 160KV, tube current to 160
, can ensure the enough penetrating capacities that are applicable to PE pipe weld seam.
Three, in the present invention, the gray-scale value of imaging is adjusted in 10000 to 52000 scope, can make detected material meet testing requirement, and image quality is higher, can make gray-scale value scope pull open, more tiny defect can be found.
Four, in the present invention, specifically select the X-ray tube of the micro-focus of 240KV, tube current scope is 0.01 ~ 3mA, and the flat panel detector of supporting employing 16 bit resolutions, can effectively guarantee that transmitted intensity improves detection efficiency simultaneously.
Five, in the present invention, after Image Adjusting, also there is image calibration step, can make initialization operation to the bad point on detector.
Six, in the present invention, duplicate measurements obtains decay ray signal, deamplification is sent into the process that computing machine carries out image reconstruction after amplification and analog-to-digital conversion process, obtain each sectional drawing of welding joint, and then obtain a series of sectioning image sequences, such mode of operation, can reconstruction of three-dimensional images best results.
In addition, the present invention also has following technique effect:
1, this micro-focus three dimensional CT pick-up unit adopts high energy acclerator radiographic source system, and powerful penetration capacity can meet the detection demand of the polyethylene pipe welding joint that thickness is larger;
2, micro-focus three dimensional CT adopts the flat panel detector of high absorption efficiency and wide dynamic range, has higher spatial resolution and density resolution, can find undersized welding joint defect;
3, micro-focus three dimensional CT image is the result of Direct Digital, and imaging detection efficiency is high, and sectioning image is convenient to storage, transmission, analyzes and is processed;
4, conventional Dynamic Non-Destruction Measurement is three-dimensional body is projected on two dimensional surface or be converted into 2D signal figure, easily cause image information stack, and evaluation image need to have certain experience, and detecting reliability is poor, and be difficult to realize accurate location and the quantitative measurment to target; Micro-focus three dimensional CT can be reproduced the 3-D view of welding joint, detecting target not blocked by minutia around, image is easy to identify, and from image, can directly obtain locus, shape and the dimension information etc. of target signature, and this is that other lossless detection methods cannot be realized;
5, micro-focus three dimensional CT detection technique is mainly used in the detection of metal mechanical component, composite material parts and hard wood, at home, have not yet to see the report that relevant micro-focus three-D CT imaging detection technique detects polyethylene pipe welding joint, therefore enforcement of the present invention is expected to fill up the blank in domestic this field.
Accompanying drawing explanation
Below in conjunction with specification drawings and specific embodiments, the present invention is described in further detail, wherein:
Fig. 1 is tygon welding joint schematic diagram provided by the invention.
Fig. 2 is micro-focus three-D CT scanning mode schematic diagram provided by the invention.
Fig. 3 is micro-focus three dimensional CT sample detection placement location schematic diagram provided by the invention.
Fig. 4 is micro-focus three dimensional CT structure working principle sketch provided by the invention.
Fig. 5 is the three-D CT imaging figure of qualified polyethylene pipe welding joint weld seam.
Fig. 6 is the three-D CT imaging figure containing the polyethylene pipe welding joint weld seam of sand grain.
Fig. 7 is the three-D CT imaging figure containing the polyethylene pipe welding joint weld seam of iron filings.
In figure, 1 polyethylene pipe; 2 welding joints; 3 X-ray tubes; 4 flat panel detectors; 5 turning axles; 6 amplify axle; 7 front collimating apparatuss; 8 rear collimating apparatuss; 9 flat panel detector arrays; 10 detection platform; 11 computing machines, 12 sand grains, 13 iron filings.
Embodiment
Embodiment 1
As a better embodiment of the present invention, the invention discloses a kind of micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality, its step comprises:
A, arrange micro-focus three-D CT imaging device: choose the X-ray tube and the flat panel detector that complement one another and use, flat panel detector is connected with the computing machine that is integrated with execution three-D CT imaging executive routine, X-ray tube and flat panel detector are placed in respectively the two ends of detection platform, in the detection platform between X-ray tube and flat panel detector, arrange welding joint, and welding joint can rotate freely and can move freely between X-ray tube and flat panel detector;
B, welding joint position are adjusted: open X-ray tube, cone type X-ray bundle circumferentially and radially irradiates welding joint along welding joint, under the initial voltage and current conditions of X-ray tube, and under the initial position of welding joint, computing machine obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as initial pictures;
Then regulate the shift position of welding joint between X-ray tube and flat panel detector, computing machine again obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as adjusting image;
Contrast initial pictures, when adjusting image optimum, determines the position of welding joint between X-ray tube and flat panel detector, this detection position of Computer Storage;
C, Image Adjusting: regulate the tube voltage of X-ray tube to 160KV, tube current to 160
, make obtained gradation of image value in 10000 to 52000 scope;
D, obtain the sectioning image of welding joint: when needs detect welding joint, welding joint is moved into X-ray beam scope, open X-ray tube, set detected parameters, carry out CT scan step, X-ray beam penetrates welding joint, by flat panel detector, measure each measuring position and put corresponding decay ray signal, after amplification and analog to digital conversion, send into computing machine and carry out image reconstruction, this image is a sectional drawing of this welding joint, is called sectioning image; Then, welding joint is done spinning campaign, X-ray beam passes welding downhole joint from other angle, duplicate measurements obtains decay ray signal, deamplification is sent into the process that computing machine carries out image reconstruction after amplification and analog-to-digital conversion process, obtain each sectional drawing of welding joint, and then obtain a series of sectioning image sequences;
E, carries out image are rebuild: on computers a series of sectioning image sequences are redeveloped into 3-D view, image is processed and preserved;
The image obtaining on f, contrast computing machine, observes the weld defects detection result showing on image, and carries out defect rank evaluation.
Embodiment 2
Concrete application example of the present invention, as shown in Fig. 1 ~ 4, in the present invention, micro-focus three dimensional CT device of the welding joint 2 of polyethylene pipe 1 comprises: X-ray tube 3, flat panel detector 4, detection platform 10, computing machine 11.In this computing machine, be integrated with every executive routine of carrying out three-D CT imaging, image calibration program for example, CT scan program, these integrated programs are all the prior aries of CT imaging field.First open key switch, starting outfit and X-ray tube 3 control device, open main switch; Open corresponding ray control program, system is carried out automatic instruction machine again; Wait for that instruction machine is complete, open image acquisition program, system turning axle 5 and amplification axle 6 are carried out self-zeroings, and flat panel detector 4 and X-ray tube 3 automatic collocations, create the new projects of the product of examining; Then according to the characteristics such as the material of polyethylene pipe 1, volume size, structure, the detection time of initial option flat panel detector 4, average and step number; Open X ray 3, by system initial voltage and electric current, obtain realtime graphic, regulate detection platform 10 and flat panel detector 4 axles, make to detect object image and be placed in appropriate location, surveyed area center and best magnification, will store this position; Close calibration function, regulation voltage and electric current, select low current as far as possible and increase voltage, and making is not having under correcting condition detected image gray-scale value between 10000 and 52000; Close X-ray tube 3, welding joint 2 is shifted out to beam scope; Carries out image calibration procedure: the number that obtains image is chosen between 50 ~ 100 according to the size of T sweep time, again open X ray 3, under unlatching image correction function, obtain a single image, whether normally observe correcting image, if undesired, need further debugging, until meet the demands; Welding joint 2 is retracted to detection position, open test item characteristic, set and detect number between 600 ~ 1000; Carry out CT scan program, ray penetrates welding joint 1, by flat panel detector 4, receives ray attenuation signal corresponding to each location point, after amplification and analog to digital conversion, sends into computing machine, the ray signal of the section that this signal is open joint; Meanwhile, polyethylene pipe 1 10 is done spin motion along turning axle 5 in detection platform, and ray through joint, repeats said process from other angle, obtains successively the ray signal of each section of pipe joint, and then obtains a series of Slice Sequences; Carries out image reconstruction algorithm, is redeveloped into 3-D view by a series of Slice Sequences; Open test item, to existing the position of defect to carry out automatic calibration program how much; Open three-dimensional visualization software, carry out image processing and preservation.
Embodiment 3
Use micro-focus three-D CT imaging pick-up unit provided by the invention not have defective polyethylene pipe welding joint to detect to one.First according to technical scheme finishing equipment provided by the invention, prepare debugging, by step described in scheme, polyethylene pipe joint is placed in detection platform again, adjustable pipe voltage is 160KV, and tube current is 160 μ A, and minimum focal spot size is 179 μ m, 2.24 times of enlargement factors, flat panel detector pixel size is 400 μ m, and the image acquisition response time is adjusted to 500ms, and image resolution ratio is 1024 * 1024, stacking diagram's film size number is 3, and skipping width number is 1.Pipe joint is at the uniform velocity rotation in detection platform, and ray is penetration joints from different directions, flat panel detector automatic reception ray signal, and be sent to computing machine and process and rebuild, the 3-D view that obtains open joint is shown in Fig. 5.From the CT image obtaining, do not find the defects such as the existence of weld seam position is mingled with, crackle, hole.
Embodiment 4
Use micro-focus three-D CT imaging pick-up unit provided by the invention to detect a tygon welding joint containing sand grain.First according to technical scheme finishing equipment provided by the invention, prepare debugging, by step described in scheme, polyethylene pipe welding joint is placed in detection platform again, the parameter regulating is consistent with example 1, pipe joint is at the uniform velocity rotation in detection platform, ray is penetration joints from different directions, flat panel detector is converted to the electric signal that calculates function identification after gathering ray energy, by computer realization image, is processed and is rebuild.The 3-D view obtaining is shown in Fig. 6.Take example 3 as object of reference, in CT image as seen in weld seam both sides with a small amount of highdensity solid particle, be the silt being mingled with.Sand grain is mainly distributed in the outer scolder of weld seam, and there is a small amount of sand grain weld seam inside, and maximum particle diameter is 0.6mm.
Embodiment 5
Use micro-focus three-D CT imaging pick-up unit provided by the invention to detect a tygon welding joint containing iron filings.First according to technical scheme finishing equipment provided by the invention, prepare debugging, by step described in scheme, polyethylene pipe joint is placed in detection platform again, the parameter regulating is consistent with example 1, pipe joint is at the uniform velocity rotation in detection platform, ray is penetration joints from different directions, flat panel detector is converted to the electric signal that calculates function identification after gathering ray energy, by computer realization image, is processed and is rebuild.The 3-D view obtaining is shown in Fig. 7.Take example 3 as object of reference, in CT image, at weld seam middle part, have a high-density objects as seen, be the iron filings that are mingled with.Iron filings are positioned at weld seam middle part, and iron filings full-size is about 35mm.
Claims (7)
1. a micro-focus three-D CT imaging detection method for polyethylene pipe hot melt welding quality, is characterized in that step comprises:
A, arrange micro-focus three-D CT imaging device: choose the X-ray tube and the flat panel detector that complement one another and use, flat panel detector is connected with the computing machine that is integrated with execution three-D CT imaging executive routine, X-ray tube and flat panel detector are placed in respectively the two ends of detection platform, in the detection platform between X-ray tube and flat panel detector, arrange welding joint, and welding joint can rotate freely and can move freely between X-ray tube and flat panel detector;
B, welding joint position are adjusted: open X-ray tube, cone type X-ray bundle circumferentially and radially irradiates welding joint along welding joint, under the initial voltage and current conditions of X-ray tube, and under the initial position of welding joint, computing machine obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as initial pictures;
Then regulate the shift position of welding joint between X-ray tube and flat panel detector, computing machine again obtains and shows the realtime graphic transmitting by after flat panel detector imaging processing, as adjusting image;
Contrast initial pictures, when adjusting image optimum, determines the position of welding joint between X-ray tube and flat panel detector, this detection position of Computer Storage;
C, Image Adjusting: regulate the tube voltage of X-ray tube to 160KV, tube current to 160
, make obtained gradation of image value in 10000 to 52000 scope;
D, obtain the sectioning image of welding joint: when needs detect welding joint, welding joint is moved into X-ray beam scope, open X-ray tube, set detected parameters, carry out CT scan step, X-ray beam penetrates welding joint, by flat panel detector, measure each measuring position and put corresponding decay ray signal, after amplification and analog to digital conversion, send into computing machine and carry out image reconstruction, this image is a sectional drawing of this welding joint, is called sectioning image; Then, welding joint is done spinning campaign, X-ray beam passes welding downhole joint from other angle, duplicate measurements obtains decay ray signal, deamplification is sent into the process that computing machine carries out image reconstruction after amplification and analog-to-digital conversion process, obtain each sectional drawing of welding joint, and then obtain a series of sectioning image sequences;
E, carries out image are rebuild: on computers a series of sectioning image sequences are redeveloped into 3-D view, image is processed and preserved;
The image obtaining on f, contrast computing machine, observes the weld defects detection result showing on image, and carries out defect rank evaluation.
2. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 1, is characterized in that: described b step and c step are carried out or order transposing simultaneously.
3. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 1 and 2, it is characterized in that: between c step and d step, also there is image calibration step: welding joint is shifted out to X-ray beam scope, determine the number that obtains blank image, and open X-ray tube, and open under the image correction function in computing machine and obtain any single image in blank image, whether normally observe correcting image, if undesired, debug, until meet the demands.
4. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 3, it is characterized in that: in described a step, welding joint is that the turning axle realization by being arranged in detection platform rotates freely, when detecting the detected image of the not coplanar of welding joint, rotating welding joint detects to suitable face.
5. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 4, it is characterized in that: in described a step, turning axle is to coordinate by the amplification axle with arranging in detection platform, realize welding joint moving freely between X-ray tube and flat panel detector, thereby determine the imaging best magnification of welding joint.
6. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 1 and 2, it is characterized in that: described X-ray tube is chosen the X-ray tube of the micro-focus of 240KV, tube current scope is 0.01 ~ 3mA, and the flat panel detector of supporting employing 16 bit resolutions.
7. micro-focus three-D CT imaging detection method of polyethylene pipe hot melt welding quality according to claim 1, is characterized in that: in described d step, the detection number that setting detected parameters refers to setting is between 600-1000.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410272503.4A CN104198505A (en) | 2014-06-18 | 2014-06-18 | Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410272503.4A CN104198505A (en) | 2014-06-18 | 2014-06-18 | Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104198505A true CN104198505A (en) | 2014-12-10 |
Family
ID=52083830
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410272503.4A Pending CN104198505A (en) | 2014-06-18 | 2014-06-18 | Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104198505A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105203570A (en) * | 2015-09-28 | 2015-12-30 | 中北大学 | Device and method for automatically detecting defects of cylinder liners by aid of X-rays |
| CN108872277A (en) * | 2018-07-23 | 2018-11-23 | 北方夜视技术股份有限公司 | X-ray non-destructive detection device based on lobster eye lens |
| CN109031174A (en) * | 2018-07-26 | 2018-12-18 | 首都师范大学 | A kind of multi-cascade distribution Micro CT imaging system |
| CN110174419A (en) * | 2019-05-17 | 2019-08-27 | 中国石油化工股份有限公司 | The detection method of in-service air cooler tube bundle based on X-ray digital imaging technology |
| CN111351810A (en) * | 2020-03-30 | 2020-06-30 | 山东省分析测试中心 | Analysis method for fracture failure behavior of metal with multi-scale defects |
| CN111855709A (en) * | 2020-07-27 | 2020-10-30 | 湖北航天技术研究院计量测试技术研究所 | Imaging correction method of microfocus X-ray detector |
| CN117169259A (en) * | 2023-09-11 | 2023-12-05 | 四川大学 | Perspective imaging method for carbon deposition inside metal structure by using salt solution as contrast agent |
| CN117169259B (en) * | 2023-09-11 | 2024-04-09 | 四川大学 | Perspective imaging method for carbon deposition inside metal structure by using salt solution as contrast agent |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1392402A (en) * | 2001-06-20 | 2003-01-22 | 株式会社日立工程服务 | X-ray CT device |
| JP3694833B2 (en) * | 2002-05-10 | 2005-09-14 | 独立行政法人産業技術総合研究所 | Eucentric tilted 3D X-ray CT and 3D image imaging method using the same |
| CN101126724A (en) * | 2007-09-30 | 2008-02-20 | 西北工业大学 | Cone-beam CT system plate detector image anti-interference calibration method |
| CN103234990A (en) * | 2013-03-28 | 2013-08-07 | 上海交通大学 | New non-destructive detection method for morphology and distribution of pores in welding seam |
| CN103278515A (en) * | 2013-05-16 | 2013-09-04 | 华南理工大学 | Rotary X-ray layered photographic detection system and method |
-
2014
- 2014-06-18 CN CN201410272503.4A patent/CN104198505A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1392402A (en) * | 2001-06-20 | 2003-01-22 | 株式会社日立工程服务 | X-ray CT device |
| JP3694833B2 (en) * | 2002-05-10 | 2005-09-14 | 独立行政法人産業技術総合研究所 | Eucentric tilted 3D X-ray CT and 3D image imaging method using the same |
| CN101126724A (en) * | 2007-09-30 | 2008-02-20 | 西北工业大学 | Cone-beam CT system plate detector image anti-interference calibration method |
| CN103234990A (en) * | 2013-03-28 | 2013-08-07 | 上海交通大学 | New non-destructive detection method for morphology and distribution of pores in welding seam |
| CN103278515A (en) * | 2013-05-16 | 2013-09-04 | 华南理工大学 | Rotary X-ray layered photographic detection system and method |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105203570A (en) * | 2015-09-28 | 2015-12-30 | 中北大学 | Device and method for automatically detecting defects of cylinder liners by aid of X-rays |
| CN105203570B (en) * | 2015-09-28 | 2018-03-30 | 中北大学 | The X-ray automatic detection device and method of cylinder jacket defect |
| CN108872277A (en) * | 2018-07-23 | 2018-11-23 | 北方夜视技术股份有限公司 | X-ray non-destructive detection device based on lobster eye lens |
| CN109031174A (en) * | 2018-07-26 | 2018-12-18 | 首都师范大学 | A kind of multi-cascade distribution Micro CT imaging system |
| CN109031174B (en) * | 2018-07-26 | 2024-02-09 | 首都师范大学 | Multi-cascade distributed micro CT imaging system |
| CN110174419A (en) * | 2019-05-17 | 2019-08-27 | 中国石油化工股份有限公司 | The detection method of in-service air cooler tube bundle based on X-ray digital imaging technology |
| CN111351810A (en) * | 2020-03-30 | 2020-06-30 | 山东省分析测试中心 | Analysis method for fracture failure behavior of metal with multi-scale defects |
| CN111855709A (en) * | 2020-07-27 | 2020-10-30 | 湖北航天技术研究院计量测试技术研究所 | Imaging correction method of microfocus X-ray detector |
| CN111855709B (en) * | 2020-07-27 | 2023-03-24 | 湖北航天技术研究院计量测试技术研究所 | Imaging correction method of microfocus X-ray detector |
| CN117169259A (en) * | 2023-09-11 | 2023-12-05 | 四川大学 | Perspective imaging method for carbon deposition inside metal structure by using salt solution as contrast agent |
| CN117169259B (en) * | 2023-09-11 | 2024-04-09 | 四川大学 | Perspective imaging method for carbon deposition inside metal structure by using salt solution as contrast agent |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104198505A (en) | Microfocus three-dimensional CT imaging detection method for hot-melt welding quality of polyethylene pipelines | |
| CN108562647B (en) | PA-TOFD combined ultrasonic detection device and method for polyethylene pipeline hot-melt butt joint | |
| CN104198504A (en) | X-ray digital imaging detection method for hot-melt welding quality of polyethylene pipelines | |
| CN110018241A (en) | The detection method of large thick-wall container welding point defect based on ultrasonic phase array | |
| CN108414622A (en) | Stainless steel tube butt weld phased array ultrasonic detecting method | |
| CN108414616A (en) | TMCP steel plate butt weld phased array ultrasonic detecting methods | |
| CN106680374A (en) | Phased array ultrasonic imaging detection method for large-diameter and thick-wall alloy steel weld with stainless steel surfacing layer | |
| CN105181798A (en) | Construction steel structure weld ultrasonic phased array detection technology | |
| CN108414617A (en) | Ferrite type steel small diameter tube butt girth welding seam phased array ultrasonic detecting method | |
| CN104297342B (en) | A kind of ultrasonic detection method of engine air conduit electron beam weld | |
| CN110261476A (en) | A kind of phased array detection method for the butt weld of Austenitic stainless steel pipe road | |
| Jung et al. | PAUT-based defect detection method for submarine pressure hulls | |
| CN108008014B (en) | Detection device and detection method for non-fusion defect between dissimilar steel butt weld layers of small-caliber pipes | |
| CN103487509B (en) | Ultrasonic manual longitudinal-longituwavel-longitudinal wavel-longitudinal detection method | |
| CN103217476A (en) | Ultrasonic surface wave detection method for surface defects of butt weld of rows of tubes of boiler header | |
| CN107894458A (en) | The phased array ultrasonic detecting method of Welded housing weld seam | |
| Zhu et al. | Ultrasonic testing system design for defect visualization of inhomogeneous multi-layered pipes | |
| CN1376909A (en) | Gamma-ray detecting method and device for in-duty pipeline network | |
| CN114441642A (en) | Method for detecting nuclear-grade ferrite steel welding seam of nuclear power station by adopting phased array ultrasonic technology | |
| CN100387984C (en) | Pipe node welding sean ultrasonic detecting machine scanning device | |
| Van den Bos et al. | Inspection of Friction Stir Welds using Triple Array Methods | |
| Liu | Phased Array Ultrasonic Testing of Corrosive Resistant Alloy Girth Weld of Cladded Pipes using the Total Focusing Method | |
| Furr | AWS D1. 1 and D1. 5 phased array examination | |
| Moran et al. | An Empirical Study on Ultrasonic Testing in Lieu of Radiography For Nuclear Power Plants | |
| Sato et al. | Development of a 3D ultrasonic inspection device for pipeline girth welds |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141210 |
|
| RJ01 | Rejection of invention patent application after publication |