Fuzzy rule-based for predicting machining performance for SNTR carbide in milling titanium alloy (ti-6al-4v)
Rule-based reasoning and fuzzy logic are used to develop a model to predict the surface roughness value of milling process. The process parameters considered in this study are cutting speed, feed rate, and radial rake angle, each has five linguistic values. The fuzzy rule-based model is developed us...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/47016/ |
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