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Experimental design and artificial neural network model for turning the 50CrV4 (SAE 6150) alloy using coated carbide/cermet cutting tools = Eksperimentalna zasnova in model umetne nevronske mreže za struženje jekla 50CrV4 (SAE 6150) z uporabo orodij s karbidno ali kermetno prevlekoTolga Ozkan, Murat ; Ulas, Hasan Basri ; Bilgin, MusaIn 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 werealso defined.Vir: Materiali in tehnologije = Materials and technology. - ISSN 1580-2949 (Letn. 48, št. 2, mar.-apr. 2014, str. 227-236)Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasleLeto - 2014Jezik - angleškiCOBISS.SI-ID - 1047466
Avtor
Tolga Ozkan, Murat |
Ulas, Hasan Basri |
Bilgin, Musa
Teme
turning operations |
cutting tools |
coated cermet |
carbide cermet |
cutting force |
surface roughness |
artificial neural network |
struženje |
rezilna orodja |
karbidi |
cermeti |
sila rezanja |
hrapavost površine |
umetna nevronska mreža
vir: Materiali in tehnologije = Materials and technology. - ISSN 1580-2949 (Letn. 48, št. 2, mar.-apr. 2014, str. 227-236)
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