https://doi.org/10.46793/TIL2025.244M DOI ikonica

EVALUATION OF LASER CUTTING CONDITIONS USING THE

Authors:

Miloš MADIĆ https://orcid.org/0000-0002-2310-2590
University of Niš, Faculty of Mechanical Engineering in Niš, Niš, Serbia
Milan TRIFUNOVIĆ https://orcid.org/0000-0002-4653-6957
University of Niš, Faculty of Mechanical Engineering in Niš, Niš, Serbia
Dušan PETKOVIĆ https://orcid.org/0000-0002-1871-7144
University of Niš, Faculty of Mechanical Engineering in Niš, Niš, Serbia
Predrag JANKOVIĆ https://orcid.org/0000-0001-9951-4500
University of Niš, Faculty of Mechanical Engineering in Niš, Niš, Serbia

Abstract: Selecting the most suitable laser cutting parameters for a specific application is challenging, as it requires balancing numerous techno-technological, quality, productivity, and economic criteria. In this study, a multi-criteria decision-making (MCDM) model was developed to evaluate laser cutting conditions. Experimental data in fiber laser cutting of S235JR steel, obtained from a 22 factorial design, were used to define four alternative cutting conditions. Evaluation and ranking of these alternatives were carried out using the weighted aggregated sum product assessment (WASPAS) method, considering cut perpendicularity, surface roughness, surface productivity, dimensional deviation, and angular deviation as evaluation criteria. The relative importance of these criteria was determined using an analytic hierarchy process (AHP), through a pair-wise comparison matrix and the geometric mean method. The stability of the final ranking was examined with respect to variations in the linear combination coefficient. By analysing the quasilinear model for prediction of the total relative importance of alternatives, it was revealed that the focus position has the utmost importance, followed by the interaction effect of focus position and cutting speed.

Keywords: fiber laser cutting, decision making, S235JR steel, WASPAS, cutting regimes

Pages: 244-274

The paper is available at the following link: Pregled rada...

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