Abstract

In adhesive wear, it is widely known that the mechanism of the transition from severe to mild wear is the wear phenomenon from severe wear with high wear rate to mild wear with low wear late. In this paper, severe to mild wear transform was observed using acoustic emission (AE) technique. And the detected AE waveforms were classified into the burst type, the continuous type and the type which is mixed the burst and the continuous type. The behaviors on the incidence of this three types have characteristics. The wear modes (i.e. the transition from severe to mild wear) were regarded with wavelet transform, fractal dimensions and image analyzing of the contact surface.

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