| Type of Material: | Thesis |
| Title: | Studies on tool wear classification and surface roughness prediction using machine learning appro |
| Researcher: | Elangovan, M |
| Guide: | Soman, K P |
| Department: | Dept. of Mechanical Engineering |
| Publisher: | Amrita Vishwa Vidyapeetham (University) |
| Place: | Coimbatore |
| Year: | June, 2012 |
| Language: | English |
| Subject: | Surface roughness prediction | Artificial neural network | Wear area |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 256962 | |
| 003 | IN-AhILN | |
| 005 | 2013-12-04 10:31:27 | |
| 008 | __ | 120822t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_256962 |
| 040 | __ | |aAVVP_641112|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aElangovan, M|eResearcher |
| 110 | __ | |aDept. of Mechanical Engineering|bAmrita Vishwa Vidyapeetham (University)|dCoimbatore |
| 245 | __ | |aStudies on tool wear classification and surface roughness prediction using machine learning appro |
| 260 | __ | |aCoimbatore|bAmrita Vishwa Vidyapeetham (University)|cJune, 2012 |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Notification|d2012-06 |
| 520 | __ | |aMetal cutting plays an important role in the present day manufacturing. Over the years, the manufacturing industry has matured by introducing new materials and processes. Superior manufacturing facilities, with the state of the art technology processes |
| 653 | __ | |aSurface roughness prediction |
| 653 | __ | |aArtificial neural network |
| 653 | __ | |aWear area |
| 700 | __ | |aSoman, K P|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/4386|yShodhganga |
| 905 | __ | |anotification |
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