Experimental investigation and correlative studies of flank wear characteristics of single point cutting tools and inserts in turning using signal processing, acoustic emission and artificial & neural network techniques
Srinidhi, R (2008) Experimental investigation and correlative studies of flank wear characteristics of single point cutting tools and inserts in turning using signal processing, acoustic emission and artificial & neural network techniques. Doctoral thesis, Kuvempu University.
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Abstract
Abstract available
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Artificial and neural network techniques, Single point cutting tools |
| Subjects: | 600 Technology > 621 Mechanical Engineering |
| Divisions: | Department of Mechanical Engineering |
| Depositing User: | Kuvempu University Library |
| Date Deposited: | 08 Mar 2016 10:37 |
| Last Modified: | 01 Aug 2016 11:49 |
| URI: | http://kuls-ir.kuvempu.ac.in/id/eprint/103 |
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