Analysis on Acoustic Emission Signals of Q345R Steel Low Temperature Tensile Process Based on K-means Clustering

Plastic deformation acoustic emission signals and noise signals during low temperature tensile process were separated based on K-means clustering. Judging from association analysis and waveform analysis, the influence of low temperature on the acoustic emission signals was obtained and the main frequency distribution of plastic deformation and brittle fracture were concluded, providing experiment basis for the low temperature pressure vessels acoustic emission testing.