Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/12158
Title: Fuzzy logic approach for the prediction of dross formation in CO<inf>2</inf> laser cutting of mild steel
Authors: Madic, Milos
Radovanović M.
Ćojbašić, Žarko
Nedic, Bogdan
Gostimirovic, Marin
Issue Date: 2015
Abstract: © 2015 Kavala Institute of Technology. Dross free laser cutting is very important in the application of laser cutting technology. This paper focuses on the development of a fuzzy logic model to predict dross formation in CO2 laser oxygen cutting of mild steel. Laser cutting experiment, conducted according to Taguchi's experimental design using L25 orthogonal array, provided a set of data for the development of a fuzzy rule base. The predicting fuzzy logic model is based on using Mamdani-type inference system. Developed fuzzy logic model considered the cutting speed, laser power and assist gas pressure as inputs. Using this model the effects of the selected laser cutting parameters on the dross formation were investigated. Additionally, 3-D surface plots were generated to study the interaction effects of the laser cutting parameters. The analysis revealed that the cutting speed has the most significant effect, followed by laser power and assist gas pressure. The results indicated that the fuzzy logic modeling approach can be effectively used for the dross formation prediction in CO2 laser cutting of mild steel.
URI: https://scidar.kg.ac.rs/handle/123456789/12158
Type: article
DOI: 10.25103/jestr.083.19
SCOPUS: 2-s2.0-84947059178
Appears in Collections:Faculty of Engineering, Kragujevac

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