Infrared non-destructive testing method based on time series heat map weighted superposition
A technology of infrared non-destructive testing and weighted superposition, which is applied in the direction of optical testing of defects/defects, and can solve problems such as small temperature difference, increased difficulty of defect detection, and mutual aliasing of features
Inactive Publication Date: 2016-03-02
EAST CHINA JIAOTONG UNIVERSITY
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However, the application of this detection method to the detection of superficial defects in materials still has certain limitations. The main reason is that the temperature difference between the defect area and the normal area of the tested specimen is small, which causes the characteristics of the defect area and the normal area to overlap in the infrared thermal image. Increased difficulty of defect detection
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[0027] Taking the surface hole defect detection of aluminum plate as an example, the specific implementation process is as follows:
[0028] (1) Prepare the test piece: take the aluminum plate with the length, width and thickness of 220mm, 162mm and 16mm as the object, and prepare the depth h 3mm and 5mm respectively, diameter D 8 types of hole defects, 2.5mm, 4.2mm, 6mm and 8mm, respectively, are used as the test pieces;
[0029] (2) Acquisition of time series heat map: the room temperature is 25°C, two 250W infrared radiation lamps are used to uniformly irradiate the defect surface of the test piece, and the irradiation distance is 5cm. After heating the defect surface of the aluminum plate for 20min, the infrared thermal imager is used to distance the test piece 50cm , collect the infrared time-series heat map of the specimen cooling process, the collection period is 30s, and obtain 30 frames of infrared time-series heat map;
[0030] (3) Construct the objective function:...
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Abstract
The invention discloses an infrared non-destructive detection method based on time series heat map weighted superposition. First, use the infrared thermal imager to collect the time-series heat map of the cooling process of the heating specimen in real time, and grayscale the collected time-series heat map to obtain the time-series gray-scale image; The weighted sum of degree differences is the objective function, and the genetic algorithm is used to optimize the weighting coefficient to maximize the objective function value; finally, based on the weighting coefficient, the time-series grayscale image is weighted and superimposed to obtain a superimposed image that highlights defect feature information for infrared nondestructive testing. detection.
Description
technical field [0001] The invention relates to an infrared non-destructive detection method, in particular to an infrared non-destructive detection method based on time-series heat map weighted superposition. Background technique [0002] Non-destructive testing is one of the effective means to ensure the safe service of materials and their components. Infrared non-destructive testing technology has become one of the main research directions in the field of non-destructive testing due to its advantages of strong anti-interference ability, fast real-time, intuitive and non-contact. [0003] At present, the main research method of infrared nondestructive testing is based on the difference in thermal conductivity between the material defect area and the normal area. On the basis of collecting the heat map of the preheated specimen, the defect detection is realized by combining the image processing technology with the temperature field distribution characteristics. However, th...
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IPC IPC(8): G01N21/88
Inventor 周建民李鹏胡林海刘正平杨君万琪
Owner EAST CHINA JIAOTONG UNIVERSITY