SUT-DK-TB ultrasonic automatic flaw detector is being tested
2020-06-06
Ultrasonic testing, abbreviated as UT, also known as ultrasonic testing, is the use of ultrasonic technology for testing, is one of the five conventional nondestructive testing methods.
Characteristics of ultrasonic wave
1. Ultrasonic beam can concentrate on a specific direction and propagate along a straight line in the medium, showing good directivity.
2. Attenuation and scattering will occur during ultrasonic wave propagation in the medium.
3. Ultrasonic wave will produce reflection, refraction and wave pattern conversion at the interface of heterogeneous media.By using these characteristics, the reflected waves from the interface of defects can be obtained, so as to achieve the purpose of detecting defects.
4. Ultrasonic waves have much more energy than sound waves.
5, ultrasonic transmission loss in the solid is small, detection depth is large, because the ultrasonic in the heterogeneous interface will occur reflection, refraction and other phenomena, especially can not pass through the gas-solid interface.If there are defects in the metal such as pores, cracks, delamination (gas in the defect) or inclusions, all or part of the reflection will occur when the ultrasonic wave propagates to the interface between the metal and the defect.The reflected ultrasonic wave is received by the probe, and processed by the circuit inside the instrument, the waveform with different height and certain distance will be displayed on the fluorescent screen of the instrument.The depth, position and shape of the defect in the workpiece can be judged according to the changing characteristics of the waveform.
Test specifications for Ф 6.0 to Ф 40 mm in diameter tube, rod, precision can reach the domestic leading level, the minimum detectable 0.3 mm flat bottom hole defect equivalent size, tube, rod surface precision can reach 0.8 * 0.8 * 3 mm), the highest detection rate can be up to 3 m/min, which can realize tube bar automatic high precision detection and greatly reduce the influence of human factors on the detection accuracy.
