Pregled bibliografske jedinice broj: 1220014
Investigation of the Parameters Effects on the Kerf Width in Plasma Jet Cutting Process of Aluminium 5083 using Fuzzy Logic Technique
Investigation of the Parameters Effects on the Kerf Width in Plasma Jet Cutting Process of Aluminium 5083 using Fuzzy Logic Technique // TEAM2022 / Damjanović, Darko ; Stojšić, Josip ; Mirosavljević, Krunoslav ; Sivrić, Hrvoje (ur.).
Slavonski Brod: Sveučilište u Slavonskom Brodu, 2022. str. 275-283 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1220014 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Investigation of the Parameters
Effects on the Kerf Width in Plasma Jet
Cutting Process of Aluminium 5083
using Fuzzy Logic Technique
Autori
Peko, Ivan ; Marić, Dejan ; Dragičević, Mario ; Šolić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
TEAM2022
/ Damjanović, Darko ; Stojšić, Josip ; Mirosavljević, Krunoslav ; Sivrić, Hrvoje - Slavonski Brod : Sveučilište u Slavonskom Brodu, 2022, 275-283
Skup
10th International Scientific and Expert Conference TEAM2022
Mjesto i datum
Slavonski Brod, Hrvatska, 21.09.2022. - 22.09.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
plasma jet cutting ; kerf width ; fuzzy logic ; aluminium 5083
Sažetak
This paper examined influences of the process parameters such as: gas pressure, cutting speed, arc current and cutting height on the kerf width cut quality response in the plasma jet cutting process of aluminium alloy 5083. Kerf width is important cut quality characteristic that represents the amount of the workpiece material that is wasted during cutting. According to that, aim of each cutting process is to reach as narrow kerf as possible. In this paper, experimentations were conducted on aluminium alloy 5083 thickness 8 mm according to Taguchi L27 orthogonal array. In order to check as wider experimental space as possible constraints regarding process parameters values that do not allow sheets cutting were identified. Artificial intelligence (AI) technique fuzzy logic was applied to define functional relations between input parameters and kerf width and to analyse process parameters effects. Created fuzzy logic model was checked by comparison between experimental and predicted response data by using mean absolute percentage error (MAPE) and coefficient of determination (R2) as validation measures. Defined fuzzy logic system proved good prediction accuracy of kerf width response and represents good basis for further more detailed experimentations and analysis in this area.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Strojarski fakultet, Slavonski Brod,
Sveučilište u Slavonskom Brodu