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Abstract: Rough
surface topography influences a certain number of tribological phenomena
like contact pressure, adherence, friction, wear and lubrication.
Therefore it is very important to describe the character of rough
surface profile. The cepstrum analysis is a new signal processing
technique in recent years, and is widely applied to analyse the signal
and its echo in the areas of earthquake, speech recognition, acoustics
et al. A cepstrum-based analysis method is presented for the
auto-correlation of rough surface profile. Some experiments of cepstrum
analysis on a few kinds of representative machining specimens are made.
The results show that the method based on cepstrum can be used to
analyse the auto-correlation of random surface profile effectively, and
its analysis sensitivity is superior to the conventional
auto-correlation function. Furthermore this method has the advantage of
identifying the correlation length of the profile exactly and
reasonably.
Key words: Roughness
Cepstrum analysis
Auto-correlation
function
CLC No: TG84
TH161
Received
20030217, received in revised form 20030930
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