Monitoring of tool wear and surface roughness in end-milling for intelligent machining
Recently, cutting tool and product quality management in intelligent machining has been implemented by automated tool and quality monitoring and control systems. These systems utilize born features recognized in indirect signals, which reflect, on-line, the tool and quality conditions. In this resea...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Academic Journals
2011
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/15078/ http://www.academicjournals.org/journal/IJPS/article-abstract/0C95BCC23849 |
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| Institution: | Universiti Malaya |