Liu Zhiyong Zheng Longhao Liu Xinhai Tang Lijun
2023, 40(3):
209-217.
Shallow
surface microcracks in metals can directly affect the performance and service
life of metals, and nonlinear ultrasonic detection methods have shown excellent
results for detecting shallow surface defects. This paper studies the nonlinear
ultrasonic laws of crack detection and positioning for shallow surface defects
in steel through finite element simulation. The paper also establishes a
two-dimensional frequency-mixing surface wave detection model that includes
surface cracks in finite element simulation software, namely COMSOL, studies
the nonlinear effects of ultrasound waves and surface cracks in steel,
summarizes the relationship between defect size and side frequency signal
amplitude changes, and uses an opposite-side frequency-mixing excitation scheme
based on time-frequency analysis to study crack positioning. The simulation
results show that when there is a crack on the metal surface, the sum frequency
and difference frequency signals will appear in the echo signal received by the
detection point, and the strength of the side frequency signal increases with
the increase in crack width, attenuates with the increase in detection
distance, and shows a trend of first increasing and then decreasing with the
increase in crack depth; the positioning of surface cracks is realized by
time-frequency analysis. By using ultrasonic signals with excitation
frequencies of 0.5 and 0.8 MHz and a fundamental frequency amplitude of 10−5 m, shallow surface cracks with a depth of 0.2~2 mm and a width of 5~30 μm can
be detected, and the positioning accuracy reaches 88%. These results provide a
reference for the nonlinear frequency-mixing ultrasonic detection and
positioning of shallow surface microdefects in steel.