CN102486462A - Three-dimensional reconstruction method for internal defect of alloy firmware - Google Patents
Three-dimensional reconstruction method for internal defect of alloy firmware Download PDFInfo
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- CN102486462A CN102486462A CN2010105725485A CN201010572548A CN102486462A CN 102486462 A CN102486462 A CN 102486462A CN 2010105725485 A CN2010105725485 A CN 2010105725485A CN 201010572548 A CN201010572548 A CN 201010572548A CN 102486462 A CN102486462 A CN 102486462A
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Abstract
The invention relates to a three dimensional reconstruction method for internal defect of an alloy firmware, which comprises the following steps: using a nondestructive test device to generate an infrared image; in the infrared image, carrying out nondestructive test on the internal defect of the alloy firmware by a nondestructive test technology, determining the position scope of the defect and the color difference information; according to the defect position scope, determining the depth information of a random defect point by combining a heat transfer theory; according to the defect position scope and the depth information, completing the three-dimensional reconstruction through a visualization technology for realizing the three-dimensional simulation of the defect. According to the invention, the three-dimensional simulation is carried out for the internal defect of the alloy firmware, thereby the three-dimensional image of the internal defect can be presented in a visual and effective mode. The internal defect condition of the alloy firmware can be detected by the method, the firmware can not be damaged, the technicians can conveniently observe the three-dimensional image of the internal defect of the firmware from multi-direction and multi-level aspects. The method of the invention has important reality meaning and research value.
Description
Technical field
The present invention relates to a kind of Infrared Non-destructive Testing technology, specifically a kind of alloy firmware inherent vice three-dimensional rebuilding method.
Background technology
The Infrared Non-destructive Testing technology is a kind of rapidly new method of Non-Destructive Testing field development in recent years, this technology have noncontact, fast, characteristics such as directly perceived, automatic test, be widely used in the detection of blade of aviation engine defective abroad.It is after blade is heated, and the defective of blade interior changes the thermal behavior of blade itself, can form the accumulation of energy at fault location, causes the variation in blade surface temperature field.Through image processing techniques the temperature collection of illustrative plates of blade surface is carried out Treatment Analysis, can confirm the position of defective, thereby reach the purpose of Non-Destructive Testing.Present testing result is the position that provides defective mostly, can not demonstrate the 3-D view of defective, can't the three-dimensional extended process of defective be simulated.
Summary of the invention
Can not demonstrate the 3-D view of defective to the Infrared Non-destructive Testing that exists in the prior art; Can't the three-dimensional extended process of defective such as be simulated at weak point, the technical matters that the present invention will solve provides a kind of three-dimensional reconstruction of realizing alloy firmware inherent vice, accomplishes the alloy firmware inherent vice three-dimensional rebuilding method of the three-dimensional simulation of defective.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is:
Alloy firmware inherent vice three-dimensional rebuilding method of the present invention may further comprise the steps:
Utilize non-destructive detecting device to generate infrared image;
In infrared image, through Dynamic Non-Destruction Measurement the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective;
According to the defective locations scope, confirm the depth information of any defect point in conjunction with heat transfer theory;
According to the position range and the depth information of defective, through visualization technique, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective.
The position range of confirming defective comprises:
In every two field picture that Non-Destructive Testing obtains, confirm the scope of abnormity point in every two field picture through the edge extracting algorithm;
In the scope of abnormity point, utilize frame difference method from image background, to extract real defective locations.
Said according to the defective locations scope, confirm that in conjunction with heat transfer theory the depth information of any defect point comprises:
Regard blade the flat plate model of infinite thickness as,, utilize that the color of image different information is counter to push away calculating, obtain the depth information of defect point according to One-dimensional Heat Conduction Equation.
Through visualization technique, accomplish three-dimensional reconstruction and comprise:
With defective locations information and the depth information combination of defect point arbitrarily, form the triplet information of representing defect point;
Set the 3-D display coordinate space of triplet information;
Triplet information is marked and drawed in the three-dimensional coordinate space, obtained the defective three-dimensional reconstruction image.
Perhaps, alloy firmware inherent vice three-dimensional rebuilding method of the present invention may further comprise the steps:
Utilize non-destructive detecting device to generate infrared image;
In infrared image, the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective through Dynamic Non-Destruction Measurement;
In infrared image, utilize heat transfer theory that image is carried out one dimensional heat transfer and calculate, confirm the depth information of any defect point;
According to the position range and the depth information of defective, through visualization technique, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective.
The position range of confirming defective comprises:
In every two field picture that Non-Destructive Testing obtains, confirm the scope of abnormity point in every two field picture through the edge extracting algorithm;
In the scope of abnormity point, utilize frame difference method from image background, to extract real defective locations.
Said according to the defective locations scope, confirm that in conjunction with heat transfer theory the depth information of any defect point comprises:
Regard blade the flat plate model of infinite thickness as,, utilize that the color of image different information is counter to push away calculating, obtain the depth information of defect point according to One-dimensional Heat Conduction Equation.
Through visualization technique, accomplish three-dimensional reconstruction and comprise:
With defective locations information and the depth information combination of defect point arbitrarily, form the triplet information of representing defect point;
Set the 3-D display coordinate space of triplet information;
Triplet information is marked and drawed in the three-dimensional coordinate space, obtained the defective three-dimensional reconstruction image.
The present invention has following beneficial effect and advantage:
1. the three-dimensional reconstruction of inherent vice.This method is based on the Infrared Non-destructive Testing technology; Combine heat transfer theory simultaneously, can alloy firmware inherent vice be carried out three-dimensional simulation, intuitively effectively present the 3-dimensional image of inherent vice; Can detect the inner defect situation of alloy firmware through this method, not damage firmware itself simultaneously.
2. some alloy firmware is as the vitals in the great equipment, and its defective is the major reason that equipment lost efficacy.Through the three-dimensional reconstruction technology; Make things convenient for the 3-dimensional image that the technician can be multi-faceted, multi-level to carry out observed in detail to the firmware inherent vice; Can assist it that defective is carried out qualitative even quantitative test; For the operating position and even the durability analysis of firmware provides the detection foundation, thereby have extremely important practical significance and researching value.
Description of drawings
Fig. 1 alloy firmware of the present invention inherent vice three-dimensional rebuilding method is learned process flow diagram ();
Fig. 2 alloy firmware of the present invention inherent vice three-dimensional rebuilding method is learned process flow diagram (two);
Fig. 3 is the X-Y scheme of the infrared imaging in the inventive method;
Fig. 4 is that the inventive method defective locations scope is extracted figure as a result;
Fig. 5 is the inventive method one dimensional heat transfer illustraton of model;
Fig. 6 is the inventive method alloy firmware inherent vice three-dimensional reconstruction figure.
Embodiment
Embodiment 1
The alloy firmware inherent vice three-dimensional rebuilding method that the present invention proposes is technological based on Infrared Non-destructive Testing, and has considered heat transfer theory.Through Dynamic Non-Destruction Measurement alloy firmware inherent vice is carried out Non-Destructive Testing; Confirm the position range of defective; Combine heat transfer theory can confirm the depth information of defective simultaneously, thereby realize the three-dimensional reconstruction of inherent vice, the current applying working condition of firmware is realized three-dimensional simulation intuitively.Alloy firmware in the present embodiment is example with the blade of aviation engine.
The inventive method is as shown in Figure 1, may further comprise the steps:
1) utilize non-destructive detecting device to generate infrared image
Present embodiment carries out active heating through high-energy flashlamp to test specimen, carries out the seizure of infrared radiation signal through thermal infrared imager, after be connected into the picture device and show infrared image, as shown in Figure 3, be the two-dimensional infrared image that forms through thermal infrared imager.
2) in infrared image, through Dynamic Non-Destruction Measurement the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective
In every two field picture that Non-Destructive Testing obtains, confirm the scope of abnormity point in every two field picture through the edge extracting algorithm; In the scope of abnormity point, utilize frame difference method from image background, to extract real defective locations.
Present embodiment adopts Roberts operator edge detection algorithm, and every two field picture is carried out edge extracting.The Roberts operator is the operator that the local difference operator of a kind of usefulness is sought the edge, and it is one 2 * 2 an operator template.Because the Roberts operator is responsive to noise ratio, carries out the image that edge extracting obtains through this algorithm and comprise false defect point and noise.Adopt frame difference method that defect point is extracted then, frame difference method is a kind of efficient algorithm that will extract moving target, and N frame and N+1 two field picture is poor; The defectiveness zone is because bigger difference variation can take place in energy stacking; Area free from defect is compared and is then changed lessly, and through choosing suitable threshold, it is little or do not have the zone that changes just can to remove temperature variation; Just can the defectiveness zone be extracted from image, remove false defect point and noise.As shown in Figure 4, be the defective locations scope that extracts through the Infrared Non-destructive Testing Flame Image Process.
3), confirm the depth information of any defect point in conjunction with heat transfer theory according to the defective locations scope of image
According to the defective locations scope; The depth information of confirming any defect point in conjunction with heat transfer theory comprises: the flat plate model of regarding blade as infinite thickness; According to One-dimensional Heat Conduction Equation, utilize that the color of image different information is counter to push away calculating, obtain the depth information of defect point.
Because the relative vane thickness of defective is small-sized, thus the flat plate model of infinite thickness can be regarded blade as, as shown in Figure 5.The consideration heat can be described by one dimension solid thermal diffusivity equation at the conductive process of blade interior.The One-dimensional Heat Conduction Equation of simplifying the back rejected region is:
In the formula: ρ represents density, and C represents specific heat capacity, and K represents heat-conduction coefficient, and the T representative is apart from the temperature at blade surface x place, and t represents heat time heating time.
Suppose that the initial temperature of blade before heat effect is evenly distributed.Through finding the solution above-mentioned equation, can obtain the expression formula that temperature changed with the degree of depth and heat time heating time
Through the temperature of the corresponding blade surface of each defect point of thermal infrared imager record, the formula above the substitution, all the other parameters all are known experiment parameters, just can calculate the depth information L of this defect point.This defect point positional information and depth information are combined into a tlv triple.(L), wherein (x y) represents the position coordinates of defective, and L represents the corresponding degree of depth for x, y to provide the characteristic information tlv triple of defective at last.Calculate the triplet information of all defect point for each two field picture, just the input data can be provided for the three-dimensional reconstruction of defective.
4) according to the position range and the depth information of defective,, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective through visualization technique.
Through visualization technique, accomplish three-dimensional reconstruction and comprise:, form the triplet information of representing defect point defective locations information and the depth information combination of defect point arbitrarily; Set the 3-D display coordinate space of triplet information; Triplet information is marked and drawed in the three-dimensional coordinate space, just can be realized the 3-D view of single-frame images defective,, just can draw the 3-dimensional image of blade interior defective, be i.e. the three-dimensional simulation of defective expansion through computational analysis to image sequence.As shown in Figure 6, defective three-dimensional reconstruction figure.
Embodiment 2
The difference of present embodiment 1 is: this is with step 2 among the embodiment 1) and the step 3) executed in parallel, as shown in Figure 2, specific as follows:
Utilize non-destructive detecting device to generate infrared image;
In infrared image, the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective through Dynamic Non-Destruction Measurement;
In infrared image, utilize heat transfer theory that image is carried out one dimensional heat transfer and calculate, confirm the depth information of any defect point;
According to the position range and the depth information of defective, through visualization technique, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective.
Confirm that the position range of defective and the depth information of color distortion information and definite any defect point all carry out simultaneously in generating infrared image; The result of two step generations is as the input data of three-dimensional reconstruction; Simplify executive condition, accelerated processing speed.
Claims (8)
1. alloy firmware inherent vice three-dimensional rebuilding method is characterized in that may further comprise the steps:
Utilize non-destructive detecting device to generate infrared image;
In infrared image, through Dynamic Non-Destruction Measurement the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective;
According to the defective locations scope, confirm the depth information of any defect point in conjunction with heat transfer theory;
According to the position range and the depth information of defective, through visualization technique, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective.
2. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that the position range of confirming defective is:
In every two field picture that Non-Destructive Testing obtains, confirm the scope of abnormity point in every two field picture through the edge extracting algorithm;
In the scope of abnormity point, utilize frame difference method from image background, to extract real defective locations.
3. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that: said according to the defective locations scope, confirm that in conjunction with heat transfer theory the depth information of any defect point comprises:
Regard blade the flat plate model of infinite thickness as,, utilize that the color of image different information is counter to push away calculating, obtain the depth information of defect point according to One-dimensional Heat Conduction Equation.
4. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that:, accomplish three-dimensional reconstruction and comprise through visualization technique:
With defective locations information and the depth information combination of defect point arbitrarily, form the triplet information of representing defect point;
Set the 3-D display coordinate space of triplet information;
Triplet information is marked and drawed in the three-dimensional coordinate space, obtained the defective three-dimensional reconstruction image.
5. alloy firmware inherent vice three-dimensional rebuilding method is characterized in that may further comprise the steps:
Utilize non-destructive detecting device to generate infrared image;
In infrared image, the inner defective of alloy firmware is carried out Non-Destructive Testing, confirm the position range and the color distortion information of defective through Dynamic Non-Destruction Measurement;
In infrared image, utilize heat transfer theory that image is carried out one dimensional heat transfer and calculate, confirm the depth information of any defect point;
According to the position range and the depth information of defective, through visualization technique, accomplish three-dimensional reconstruction, realize the three-dimensional simulation of defective.
6. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that the position range of confirming defective is:
In every two field picture that Non-Destructive Testing obtains, confirm the scope of abnormity point in every two field picture through the edge extracting algorithm;
In the scope of abnormity point, utilize frame difference method from image background, to extract real defective locations.
7. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that: said according to the defective locations scope, confirm that in conjunction with heat transfer theory the depth information of any defect point comprises:
Regard blade the flat plate model of infinite thickness as,, utilize that the color of image different information is counter to push away calculating, obtain the depth information of defect point according to One-dimensional Heat Conduction Equation.
8. by the described alloy firmware of claim 1 inherent vice three-dimensional rebuilding method, it is characterized in that:, accomplish three-dimensional reconstruction and comprise through visualization technique:
With defective locations information and the depth information combination of defect point arbitrarily, form the triplet information of representing defect point;
Set the 3-D display coordinate space of triplet information;
Triplet information is marked and drawed in the three-dimensional coordinate space, obtained the defective three-dimensional reconstruction image.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102799619A (en) * | 2012-06-19 | 2012-11-28 | 北京航空航天大学 | Fault mode visual method based on three-dimensional model of product |
| CN102799619B (en) * | 2012-06-19 | 2014-12-03 | 北京航空航天大学 | Fault mode visual method based on three-dimensional model of product |
| CN104677911A (en) * | 2013-11-27 | 2015-06-03 | 财团法人工业技术研究院 | Inspection apparatus and method for machine vision inspection |
| US9747680B2 (en) | 2013-11-27 | 2017-08-29 | Industrial Technology Research Institute | Inspection apparatus, method, and computer program product for machine vision inspection |
| CN105717163A (en) * | 2016-01-29 | 2016-06-29 | 中国商用飞机有限责任公司 | Method for detecting flaw through infrared thermography |
| CN108961203A (en) * | 2018-02-19 | 2018-12-07 | 江苏新时高温材料股份有限公司 | A kind of three-dimensional rebuilding method of fusion ultrasound and the hollow plate type ceramic film defect of machine vision technique |
| CN108961203B (en) * | 2018-02-19 | 2023-07-18 | 江苏新时高温材料股份有限公司 | Three-dimensional reconstruction method for defects of hollow plate type ceramic membrane by combining ultrasonic and machine vision technologies |
| CN111008738A (en) * | 2019-12-04 | 2020-04-14 | 云南锡业集团（控股）有限责任公司研发中心 | Sn-Bi alloy elongation and tensile strength prediction method based on multi-mode deep learning |
| CN111008738B (en) * | 2019-12-04 | 2023-05-30 | 云南锡业集团（控股）有限责任公司研发中心 | Method for predicting elongation and tensile strength of Sn-Bi alloy based on multi-modal deep learning |
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