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Pregled bibliografske jedinice broj: 328129

Časopis

Autori: Bajić, Dražen; Lela, Branimir; Živković, Dražen
Naslov: MODELING OF MACHINED SURFACE ROUGHNESS AND OPTIMIZATION OF CUTTING PARAMETERS IN FACE MILLING
Izvornik: Metalurgija (0543-5846) 47 (2008), 4; 331-334
Vrsta rada: članak
Ključne riječi: Face milling; Surface roughness; DOE; Regression; Neural networks
Sažetak:
The influence of cutting parameters on surface roughness in face milling has been examined. Cutting speed, feed rate and depth of cut have been taken into consideration as the influential factors. A series of experiments have been carried out in accordance with a design of experiment (DOE). In order to obtain mathematical models that are able to predict surface roughness two different modeling approaches, namely regression analysis and neural networks, have been applied to experimentally determined data. Obtained results have been compared and neural network model gives better explanation of the observed physical system. Optimal cutting parameters have been found using simplex optimization algorithm
Projekt / tema: 023-0692976-1742
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Strojarstvo
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: MODELING OF MACHINED SURFACE ROUGHNESS AND OPTIMIZATION OF CUTTING PARAMETERS IN FACE MILLING
Upisao u CROSBI: Dražen Bajić (), 8. Tra. 2008. u 14:21 sati



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