Pregled bibliografske jedinice broj: 328129
MODELING OF MACHINED SURFACE ROUGHNESS AND OPTIMIZATION OF CUTTING PARAMETERS IN FACE MILLING
MODELING OF MACHINED SURFACE ROUGHNESS AND OPTIMIZATION OF CUTTING PARAMETERS IN FACE MILLING // Metalurgija, 47 (2008), 4; 331-334 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 328129 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
MODELING OF MACHINED SURFACE ROUGHNESS AND OPTIMIZATION OF CUTTING PARAMETERS IN FACE MILLING
Autori
Bajić, Dražen ; Lela, Branimir ; Živković, Dražen
Izvornik
Metalurgija (0543-5846) 47
(2008), 4;
331-334
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
023-0692976-1742 - Istraživanje visokobrzinske obrade materijala (Bajić, Dražen, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)
- ISI-SCI
- ISI-MSCI
- ISI
- Scopus