515 KB37 KB200020242014Bilgin, MusaTolga Ozkan, MuratUlas, Hasan Basrištevilka:2letnik:48str. 227-236COBISSID:1047466ISSN:1580-2949URN:URN:NBN:SI:doc-5UNCMY7AenInštitut za kovinske materiale in tehnologijeMateriali in tehnologijeartificial neural networkcarbide cermetcermeticoated cermetcutting forcecutting toolshrapavost površinekarbidirezilna orodjasila rezanjastruženjesurface roughnessturning operationsumetna nevronska mrežaExperimental 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 prevleko|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 werealso definedV tej študiji je bilo jeklo 50CrV4 (SAE 6150) strojno obdelano s struženjem z orodji za rezanje s karbidno ali kermetno prevleko. Preizkusi so bili opravljeni pri različnih hitrostih rezanja, podajanja in globine rezanja. Iz teh parametrov so bile ugotovljene sile pri rezanju in vrednosti hrapavosti površine. Tri komponente sil rezanja (Fa, Fr in Fc) so bile merjene med poskusom z dinamometrom, medtem ko so bile vrednosti hrapavosti površine izmerjene z merilnikom za hrapavost površine. Izvršena je bila večkratna regresijska analiza in statistična obdelava izvedbe poskusov. Izmerjene vrednosti hrapavosti so bile uporabljene za modeliranje s sistemom umetne nevronske mreže (ANNS). Določena je bila tudi odvisnost med silami rezanja in hrapavostjo površineTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaInštitut za kovinske materiale in tehnologije