This paper introduces the ultrasonic detection technology of aluminum alloy forgings and its application in defect identification. Firstly, the principle and characteristics of ultrasonic detection technology are outlined, and then the methods and steps of ultrasonic detection of aluminum alloy forgings are described in detail. Then the principles and methods of defect identification are discussed, and the application of defect identification is illustrated by examples. Finally, the advantages and limitations of ultrasonic detection technology in defect identification of aluminum alloy forgings are summarized.
As an important structural material, aluminum alloy forgings are widely used in aviation, aerospace, automotive, energy and other fields. However, in the production process, aluminum alloy forgings may produce various defects, such as cracks, pores, inclusions, etc., which seriously affect its mechanical properties and durability. Therefore, it is of great significance to detect the defects of aluminum alloy forgings accurately and quickly to ensure product quality and safety. As a non-destructive testing method, ultrasonic testing technology has the advantages of high efficiency, accuracy and non-destructive, and is widely used in the defect detection of aluminum alloy forgings.
Ultrasonic detection technology is a method to detect internal defects of materials by using the propagation characteristics of ultrasonic waves in materials. When the ultrasonic wave encounters the defect on the surface of the material, it will produce reflection, refraction, scattering and other phenomena, and by analyzing these phenomena, the position, size and shape of the defect can be determined. Ultrasonic detection technology has the characteristics of fast detection speed, high precision, no damage to the material and so on, which is suitable for all kinds of metal material defect detection.
The ultrasonic testing of aluminum alloy forgings generally includes the following steps: First, the preparation work, including selecting the appropriate ultrasonic probe, setting the detection parameters, etc.; Then, the probe is coated with a coupling agent to closely fit the surface of the aluminum alloy forging; Then the ultrasonic wave is emitted and the reflected signal is received, and the defect is judged by analyzing the characteristics of the reflected signal. Finally, the data processing and defect identification, through the computer technology to process the reflected signal, extract the defect information.
The principle of defect identification is to compare the amplitude, time, frequency and other characteristics of the reflected signal with the signal without defect, so as to judge the existence of the defect. The commonly used defect recognition methods include threshold method, pattern recognition method, neural network method and so on. These methods can improve the accuracy and efficiency of defect identification by learning and training a large amount of data.
The application of ultrasonic detection technology in defect identification of aluminum alloy forgings is illustrated by an example. For example, an airline company used ultrasonic detection technology to detect a batch of aluminum alloy forgings, and successfully found a number of cracks and porosity defects, avoiding potential safety hazards.
As a non-destructive testing method, ultrasonic testing technology plays an important role in defect identification of aluminum alloy forgings. It can quickly and accurately find the defects in aluminum alloy forgings, providing protection for product quality and safety. However, ultrasonic detection technology also has certain limitations, such as limited recognition ability for some complex defects, affected by material surface roughness, probe coupling and other factors. In the future, the algorithm and equipment of ultrasonic detection technology can be further improved to improve its detection accuracy and stability, and at the same time, combined with other non-destructive testing methods, a comprehensive defect identification system can be formed to better meet the needs of aluminum alloy forgings quality detection.
