System and method for detecting damage of metal component nondestructively

Abstract

The invention discloses a system and a method for detecting damage of a metal component nondestructively, belonging to the field of nondestructive detection for damage of metal components. The system comprises a dynamic micro-resistance monitoring system, an acoustic emission signal collecting system, an infrared heat signal collecting system and a force and displacement signal collecting system, wherein the dynamic micro-resistance monitoring system, the acoustic emission signal collecting system, the infrared heat signal collecting system and the force and displacement signal collecting system are respectively electrically connected with a main control system; the main control system is used for receiving and collecting micro-resistance data information, acoustic data information, heat data information and force and displacement data information. Due to the fact that the system can collect various kinds of information on electricity, heat, sound, force and the like simultaneously, so that the system breaks through the limit of shortage in veracity of single judgment data and ensures the accuracy for damage detection of the metal component under a nondestructive state, and then, the reliability and the accuracy of the service life estimation of an apparatus are greatly improved.

Description

technical field [0001] The invention relates to the field of detection systems, in particular to a detection system capable of separately collecting electrical, thermal, acoustic and force multi-information fusion and confirming the damage state of metal components. Background technique [0002] At present, it is the first step in the whole process of blank remanufacturing to conduct non-destructive testing and life assessment to determine whether it has remanufacturing value, and it is also a crucial part, which is directly related to the remanufacturing product Safety, reliability and social acceptance of remanufactured products. At present, the most researched non-destructive testing technologies include: magnetic particle testing technology, penetrant testing technology, industrial CT testing technology, ultrasonic testing technology, eddy current testing technology, metal magnetic memory testing technology, etc. But these inspection techniques are only suitable for det...

AI Technical Summary

Problems solved by technology

Among the above-mentioned non-destructive testing technologies, magnetic particle testing technology can only detect macroscopic defects with a depth of 1-2 mm in ferromagnetic materials; penetrant testing technology can only detect open macroscopic defects on the surface of dense metals; industrial CT testing technology needs to compare radiation Good protection, and for planar defects, it is difficult to detect if the ray direction is parallel to the surface; ultrasonic testing needs to use couplant, which is only sensitive to macroscopic defects; eddy current testing has skin effect, so it can only detect the surface layer of parts and is easily affected by the unevenness of conductive coatings such as carbon on the surface of parts; metal magnetic memory testing technology is an emerging nondestructive testing technology, and the mechanism of magnetic memory is not very clear. Therefore, the magnetic memory signal is used to quantitatively predict ferromagnetism. The life of components still needs the further development of its basic theory

[0003] At present, acoustic emission, infrared and other technologies are also used for material testing, but these technologies can only collect relevant data alone, but cannot prepare and judge the life and damage of metal components of equipment from multiple directions to obtain test results

However, the life assessment of equipment is an unsolved global problem. The existing non-destructive testing technologies have their own limitations. Therefore, it is urgent to develop a reliable multi-criteria equipment health diagnosis system to determine the degree of equipment damage with high accuracy. , and dynamically monitor the damage process of components, and provide preliminary technical support for automatic early warning of equipment reaching service life

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