The invention aims to provide a new method for ultrasonic flaw detection of a pressure-bearing
cast iron device, namely a grain characteristic-based improved split spectrum method in ultrasonic flaw detection of the pressure-bearing
cast iron device, wherein compared with a conventional
cast iron flaw detection, the method enables a
system to obtain higher
signal-to-
noise ratio, faster
response time and higher flexibility. Because an internal organizational structure of cast iron is not uniform and the grain size is larger, when ultrasonic
waves are used for flaw detection, attenuation of the ultrasonic
waves is larger when in propagation, sporadic reflection is prone to generate, and forest-like or grass-like echoes are produced, resulting in poor flaw detection sensitivity. The method utilizes effects of an average grain size and an
crystal orientation angle (an included angle of the
acoustic wave incident direction and the grain axis) of the cast iron internal grain characteristics on
ultrasonic scattering and attenuation, a
noise time-
frequency characteristic and a flaw echo
frequency dispersion characteristic with obvious grain characteristics are caused, optimized split spectrum parameters are obtained through analysis of
noise and echo signals, and thus with utilization of the split spectrum technology, the scattering noise can be well reduced and the ultrasonic
echo signal sensitivity can be well improved.