I-Kaz methodology for predicting tool life of AlCrNCoated WCCo inserts in the machining of AISI 304 steel
This study proposes a real-time tool wear monitoring approach for dry milling of AISI 304 stainless steel using a Microflown PU sensor and the I-Kaz™ statistical feature. A Taguchi L18 orthogonal array was adopted to optimize cutting speed, feed rate, depth of cut and tool type (uncoated and AlCrN-c...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier
2025-12-01
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| Saila: | MethodsX |
| Gaiak: | |
| Sarrera elektronikoa: | http://www.sciencedirect.com/science/article/pii/S2215016125005503 |
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