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1 →- ArticleYalnız künye2014Experimental design and artificial neural network model for turning the 50CrV4 (SAE 6150) alloy using coated carbide/Cermet cutting tools
Ozkan, Murat Tolga; Ulas, Hasan Basri; Bilgin, Musa
In this experimental study, the 50CrV4 (SAE 6150) steel was subjected to the machining tests with coated carbide and cermet cutting tools in a turning operation. The tests were carried out at various cutting speeds, feed rates and cutting depths. In the light of these parameters, cutting forces and surface-roughness values were determined. Three components (Fa, Fr and Fc) of the cutting forces were measured during the tests using a dynamometer, while the machined surface-roughness values were determined using a surface roughness measuring unit. A multiple regression analysis and experimental design were performed statistically. The measured surface-roughness values were used for the modeling with an artificial neural network system (ANNS). The relations between the cutting forces and the surface-roughness values were also defined.
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Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| creativeworkseries.issn | 1580-2949 | |
| creativeworkseries.issn | 1580-3414 | |
| dc.date.accessioned | 2026-10-20T15:42:56.126493228Z | |
| dc.date.available | 2026-10-20T15:42:56.126493228Z | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/24968 | |
| dc.publisher | Institute of Metals Technology | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Materiali in Tehnologije | |
| dspace.entity.type | Journal |
