Napredna pretraga

Pregled bibliografske jedinice broj: 361869

Modeling of machined surface roughness and optimization of cutting parameters in face milling


Bajić, Dražen; Lela, Branimir; Živković, Dražen
Modeling of machined surface roughness and optimization of cutting parameters in face milling // Metallurgy-Metalurgija / Mamuzić, Ilija (ur.).
Zagreb: Croatian Metallurgical Society (CMS), 2008. str. 281-281 (poster, međunarodna recenzija, sažetak, znanstveni)


Naslov
Modeling of machined surface roughness and optimization of cutting parameters in face milling

Autori
Bajić, Dražen ; Lela, Branimir ; Živković, Dražen

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Metallurgy-Metalurgija / Mamuzić, Ilija - Zagreb : Croatian Metallurgical Society (CMS), 2008, 281-281

Skup
8th International Symposium of Croatian Metallurggical Cociety "Materials and Metallurgy"

Mjesto i datum
Šibenik, Hrvatska, 22-26.06.2008

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

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


Projekt / tema
023-0692976-1742 - Istraživanje visokobrzinske obrade materijala (Dražen Bajić, )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus