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Pregled bibliografske jedinice broj: 1275752

Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083

Peko, Ivan; Nedić, Bogdan; Marić, Dejan; Džunić, Dragan; Šolić, Tomislav; Dragičević, Mario; Crnokić, Boris; Kljajo, Matej
Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083 // Proceedings of 18th International Conference on Tribology, SERBIATRIB '23 / Mitrović, Slobodan (ur.).
Kragujevac: Faculty of Engineering, University of Kragujevac, 2023. str. 747-757 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083

Autori
Peko, Ivan ; Nedić, Bogdan ; Marić, Dejan ; Džunić, Dragan ; Šolić, Tomislav ; Dragičević, Mario ; Crnokić, Boris ; Kljajo, Matej

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 18th International Conference on Tribology, SERBIATRIB '23 / Mitrović, Slobodan - Kragujevac : Faculty of Engineering, University of Kragujevac, 2023, 747-757

ISBN
978-86-6335-103-5

Skup
18th International Conference on Tribology, SERBIATRIB ‘23

Mjesto i datum
Kragujevac, Srbija, 17.05.2023. - 19.05.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial intelligence ; fuzzy logic ; modeling ; plasma manufacturing ; cut quality ; surface roughness

Sažetak
In this paper the influence of different process parameters on surface roughness responses in plasma jet cutting process was investigated. Experimentations were conducted on shipbuilding aluminium 5083 sheet thickness 8 mm. Experimental work was performed according to Taguchi L27 orthogonal array by varying four parameters such as gas pressure, cutting speed, arc current and cutting height. Due to complexity of manufacturing process and aim to cover wide experimental space few constraints regarding cutting area were defined. Surface roughness parameters Ra and Rz were analysed as cut quality responses. In order to define mathematical model that will be able to describe effects of process parameters on surface roughness artificial intelligence (AI) fuzzy logic (FL) technique was applied. After functional relations between input parameters and surface roughness responses were defined prediction accuracy of developed fuzzy logic model was checked by comparison between experimental and predicted data. Mean absolute percentage error (MAPE) as well as coefficient of determination (R2) were used as validation measures. Finally, optimal process conditions that lead to minimal surface roughness were defined by creating response surface plots.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA

Ustanove:
Strojarski fakultet, Slavonski Brod,
Prirodoslovno-matematički fakultet, Split

Profili:

Avatar Url Dejan Marić (autor)

Avatar Url Ivan Peko (autor)

Avatar Url Tomislav Šolić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada www.researchgate.net

Citiraj ovu publikaciju:

Peko, Ivan; Nedić, Bogdan; Marić, Dejan; Džunić, Dragan; Šolić, Tomislav; Dragičević, Mario; Crnokić, Boris; Kljajo, Matej
Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083 // Proceedings of 18th International Conference on Tribology, SERBIATRIB '23 / Mitrović, Slobodan (ur.).
Kragujevac: Faculty of Engineering, University of Kragujevac, 2023. str. 747-757 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Peko, I., Nedić, B., Marić, D., Džunić, D., Šolić, T., Dragičević, M., Crnokić, B. & Kljajo, M. (2023) Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083. U: Mitrović, S. (ur.)Proceedings of 18th International Conference on Tribology, SERBIATRIB '23.
@article{article, author = {Peko, Ivan and Nedi\'{c}, Bogdan and Mari\'{c}, Dejan and D\v{z}uni\'{c}, Dragan and \v{S}oli\'{c}, Tomislav and Dragi\v{c}evi\'{c}, Mario and Crnoki\'{c}, Boris and Kljajo, Matej}, editor = {Mitrovi\'{c}, S.}, year = {2023}, pages = {747-757}, keywords = {artificial intelligence, fuzzy logic, modeling, plasma manufacturing, cut quality, surface roughness}, isbn = {978-86-6335-103-5}, title = {Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083}, keyword = {artificial intelligence, fuzzy logic, modeling, plasma manufacturing, cut quality, surface roughness}, publisher = {Faculty of Engineering, University of Kragujevac}, publisherplace = {Kragujevac, Srbija} }
@article{article, author = {Peko, Ivan and Nedi\'{c}, Bogdan and Mari\'{c}, Dejan and D\v{z}uni\'{c}, Dragan and \v{S}oli\'{c}, Tomislav and Dragi\v{c}evi\'{c}, Mario and Crnoki\'{c}, Boris and Kljajo, Matej}, editor = {Mitrovi\'{c}, S.}, year = {2023}, pages = {747-757}, keywords = {artificial intelligence, fuzzy logic, modeling, plasma manufacturing, cut quality, surface roughness}, isbn = {978-86-6335-103-5}, title = {Artificial intelligence fuzzy logic modeling of surface roughness in plasma jet cutting process of shipbuilding aluminium alloy 5083}, keyword = {artificial intelligence, fuzzy logic, modeling, plasma manufacturing, cut quality, surface roughness}, publisher = {Faculty of Engineering, University of Kragujevac}, publisherplace = {Kragujevac, Srbija} }

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