Prediction of surface roughness in the end milling machining using fuzzy rule-based
In the experiment, 24 samples of data has been tested in real machining by using uncoated, TiAlN coated, and SNTR coated cutting tools of titanium alloy (Ti-6Al-4v). The fuzzy rule-based model is developed using MATLAB fuzzy logic toolbox. Rule-based reasoning and fuzzy logic are used to develop a m...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/51252/ http://eprints.utm.my/51252/ |
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