Method for quantitatively detecting three-dimensional defects in device

Abstract

The invention relates to a method for quantitatively detecting three-dimensional defects in a device. The method comprises the following steps of: 1) selecting K temperature sampling points on the measurement surface of a measured object, setting a defect geometric parameter vector P; 2) establishing a heat transfer model of the measured object according to the guess value of P, and employing thefinite element method to calculate and obtain a temperature departure ek of the K temperature sampling points, if the ek meets an iteration stop condition, finishing the iteration process, and takingthe guess value as a detection result of P, or else, entering the step 3); 3) establishing a fuzzy inference unit corresponding to the K temperature sampling points; 4) establishing a weighting comprehensive matrix of the fuzzy inference unit, and constructing a decentralized fuzzy inference module; and 5) performing decentralized fuzzy inference, and performing iteration correction of the guess value of the P according to the decentralized fuzzy inference result to replace the correction value as a guess value, and turning to the step 2). The method provided by the invention can quantitatively detecting the three-dimensional physical dimensions and depth information of the internal defects of the device to achieve the quantitative detection.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing of materials, and in particular relates to a method for quantitatively testing three-dimensional defects inside equipment. Background technique [0002] Many industrial equipment have been operating under harsh conditions such as high temperature, high pressure and high-intensity alternating load for a long time. The internal defects formed or existing in the equipment during operation may cause major equipment failures or safety accidents. Therefore, internal defect identification is very important for equipment Health monitoring and accident prevention are important. [0003] Modern non-destructive testing and evaluation technology not only needs to qualitatively detect the existence of defects, but more importantly, it needs to give quantitative detection results of related defects (size, position, shape, etc.). X-ray, ultrasonic testing, etc. Infrared thermal image non-destru...

AI Technical Summary

Problems solved by technology

[0004] However, the low level of quantitative detection is the main problem of infrared thermal imaging non-destructive testing technology. In practical applications, infrared thermal imaging technology is usually used to qualitatively detect internal defects of the object under test. After defects are found, other detection methods are often required. Quantitative verification

However, methods such as ray and ultrasonic testing are limited by their principles, and there are also shortcomings. In the testing of composite materials, the accuracy of quantitative verification is easily affected by the influence of different material layers.

Images