Pregled bibliografske jedinice broj: 305467
Examination and modelling of the influence of cutting parameters on the cutting force and the surface roughness in longitudinal turning
Examination and modelling of the influence of cutting parameters on the cutting force and the surface roughness in longitudinal turning // Strojniški vestnik - Journal of Mechanical Engineering, 54 (2008), 5; 322-333 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 305467 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Examination and modelling of the influence of cutting parameters on the cutting force and the surface roughness in longitudinal turning
Autori
Bajić, Dražen ; Lela, Branimir ; Cukor, Goran
Izvornik
Strojniški vestnik - Journal of Mechanical Engineering (0039-2480) 54
(2008), 5;
322-333
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Longitudinal turning; Cutting force; Surface roughness; Regression; Neural networks
Sažetak
This study examines the influence of three cutting parameters on the surface roughness and the cutting force components in longitudinal turning. The cutting speed, the feed rate and the depth of cut have been taken as influential factors. Two modelling methodology, namely regression analysis and neural networks, have been applied to experimentally determined data. Also, for both methodologies the ability of interpolation and extrapolation has been tested. Results obtained by neural network models have been compared to those obtained by regression models. Both methodologies give nearly similar results when interpolation is observed. However, regarding extrapolation neural network models give better results. In order to find the optimal values of the cutting parameters an optimization has been carried out.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
023-0692976-1742 - Istraživanje visokobrzinske obrade materijala (Bajić, Dražen, MZOS ) ( CroRIS)
069-0692976-1738 - Istraživanje visokoproduktivnih obrada na inteligentnim obradnim sustavima (Kuljanić, Elso, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Tehnički fakultet, Rijeka
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::
- Social Work Abstracts
- SCI-Expanded