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Using the Response Surface Methodology (RSM) to Improve the Cutting of S355J2C+N Steel Cover

Using the Response Surface Methodology (RSM) to Improve the Cutting of S355J2C+N Steel

Open Access
|Dec 2025

Abstract

This article presents research on the evaluation of the influence of various fiber laser parameters on the quality of the surface after the cutting process. The study was conducted using a 10 mm thick S355J2C+N steel sheet. The cutting process was performed on a Fiber Laser VFl530 cutting machine with a power of 4000 W, manufactured by Otinus. To develop a model of the laser cutting process, the response surface methodology (RSM) was applied. A second-degree polynomial equation was selected to construct the model. The study found that the parameter Rc exhibited a predicted coefficient of determination of 99.89% for the variance of laser settings in steel cutting, in relation to the roughness of the upper part of the intersection surface. The results demonstrated that the value of Rc is significantly influenced by cutting speed, the interaction between speed and peak power, the interaction between focus and speed, as well as the peak power parameter. Surface topography analysis revealed that as the laser beam power increased in relation to the cross-cutting speed, additional material melting occurred, leading to an increase in surface roughness. However, when the cross-cutting speed was increased while maintaining constant power, surface roughness decreased.

DOI: https://doi.org/10.2478/ama-2025-0068 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 605 - 610
Submitted on: Mar 9, 2025
Accepted on: Oct 7, 2025
Published on: Dec 19, 2025
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Aneta JAKUBUS, Joanna KOSTRZEWA, Marcin JASIŃSKI, Bartłomiej Wik, Maciej NADOLSKI, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.