Abstract
The characteristics of dynamic and static component of the cutting force signal were analyzed when the coated tool was used to cut gray cast iron. It is found that the whole and local of dynamic cutting force signal has self-similarity. Then the dynamic fractal dimension D was extracted by means of fractal theory, and the feature quantity M was extracted from the static cutting force signal. Research shows that the dynamic fractal dimension D of cutting force signal and static characteristic quantity M are varied with the cutting time. Their varying laws can be used to monitor the wear condition of coated tool effectively.
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