Pregled bibliografske jedinice broj: 139889
Solving the Face Milling Optimisation Problem by Evolutionary Algorithm
Solving the Face Milling Optimisation Problem by Evolutionary Algorithm // 7th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology" TMT 2003 / Joan Vivancos, Calvet ; Ferran Puerta, Sales ; Sabahudin, Ekinović ; Safet, Brdarević (ur.).
Barcelona: Faculty of ME in Zenica, Escola Technica Superior D'Enginyeria Industrial de Barcelona, Mechanic, Universitet Politecnica de Catalunya, 2003. str. 29-32 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 139889 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Solving the Face Milling Optimisation Problem by Evolutionary Algorithm
Autori
Cukor, Goran ; Stoić, Antun
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
7th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology" TMT 2003
/ Joan Vivancos, Calvet ; Ferran Puerta, Sales ; Sabahudin, Ekinović ; Safet, Brdarević - Barcelona : Faculty of ME in Zenica, Escola Technica Superior D'Enginyeria Industrial de Barcelona, Mechanic, Universitet Politecnica de Catalunya, 2003, 29-32
Skup
7th International Research/Expert Conference "Trends in the Development of Machinery and Associated Technology" TMT 2003
Mjesto i datum
Barcelona, Španjolska, 15.09.2003. - 17.09.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
face milling; optimisation; genetic algorithm (GA)
Sažetak
In this paper, an optimisation model of multi-pass face milling operation is formulated. Also, the evolutionary computation approach, namely genetic algorithm (GA), is used for the optimisation of cutting parameters. The adopted approach is based on the multi-criterion optimisation bearing in mind that an optimum economic balance between the unit machining cost and the unit machining time yields a maximum profit rate. The estimation contains the weight coefficient so that the profit rate level may be modelled.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka,
Strojarski fakultet, Slavonski Brod