Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/45487| Title: | Tool-Wear Estimation in Cnc Machine Based On Fusion Vibration-Current and Neural Network |
| Authors: | Trejo-Hernandez, M Osornio-Rios, R A |
| Keywords: | Tool-Wear;Artificial Neural Network;Vibration;Current |
| Issue Date: | Dec-2018 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | The costs of the cutting tools and their replacement become an important amount of the total production costs in a manufacturing process. This work presents a methodology based on machine vibration, servomotor electric current and an artificial neural network to obtain the tool-wear detection in CNC machine inserts. The effectiveness of this proposal was tested in the tool of CNC lathe machine and validated with the image quantification. |
| Page(s): | 688-691 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.77(12) [December 2018] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 77(12) 688-691.pdf | 588.98 kB | Adobe PDF | View/Open |
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