Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9705382 | International Journal of Machine Tools and Manufacture | 2005 | 13 Pages |
Abstract
Predictive neural network modeling is also extended to predict tool wear and surface roughness patterns seen in finish hard turning processes. Decrease in the feed rate resulted in better surface roughness but slightly faster tool wear development, and increasing cutting speed resulted in significant increase in tool wear development but resulted in better surface roughness. Increase in the workpiece hardness resulted in better surface roughness but higher tool wear. Overall, CBN inserts with honed edge geometry performed better both in terms of surface roughness and tool wear development.
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Authors
TuÄrul Ãzel, YiÄit Karpat,