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http://nopr.niscpr.res.in/handle/123456789/45487Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Trejo-Hernandez, M | - |
| dc.contributor.author | Osornio-Rios, R A | - |
| dc.date.accessioned | 2018-12-07T07:58:45Z | - |
| dc.date.available | 2018-12-07T07:58:45Z | - |
| dc.date.issued | 2018-12 | - |
| dc.identifier.issn | 0975-1084 (Online); 0022-4456 (Print) | - |
| dc.identifier.uri | http://nopr.niscair.res.in/handle/123456789/45487 | - |
| dc.description | 688-691 | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | NISCAIR-CSIR, India | en_US |
| dc.rights |  CC Attribution-Noncommercial-No Derivative Works 2.5 India | en_US |
| dc.source | JSIR Vol.77(12) [December 2018] | en_US |
| dc.subject | Tool-Wear | en_US |
| dc.subject | Artificial Neural Network | en_US |
| dc.subject | Vibration | en_US |
| dc.subject | Current | en_US |
| dc.title | Tool-Wear Estimation in Cnc Machine Based On Fusion Vibration-Current and Neural Network | en_US |
| dc.type | Article | en_US |
| 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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