40th International Conference on Production Engineering of Serbia
ICPES 2025
Nis, Serbia, 18-19th september 2025
ELECTROMAGNETIC FIELD ANALYSIS AND PREDICTIVE MODELING IN FIBER LASER CUTTING OF REFRACTORY STEELS
Constantin CRISTINEL GIRDU, Miloš MADIC, Catalin GHEORGHE, Daniel LATES, Bogdan CATALIN IACOB
DOI: 10.46793/ICPES25.072G
This study presents a theoretical and experimental framework for modelling the electromagnetic field generated by a high-power fiber laser beam and for predicting the hardness variations in refractory steels subjected to laser cutting. Based on Maxwell’s equations, a mathematical model is developed to describe the propagation of electric and magnetic fields in space and time, linking beam parameters, such as power, focal position, and cutting speed, with the physical characteristics of laser radiation. This theoretical foundation is applied to analyse the behaviour of an X10AlCr180 alloy, commonly used in high-temperature industrial applications. Changes in hardness within the heat-affected zone after oxygen-assisted laser cutting are investigated. Experimental data are statistically processed, and a quasi-linear predictive model is developed, achieving a determination coefficient R²= 99.52%. The results indicate that laser power and focal position have the most significant influence on hardness. This work highlights the relevance of integrating electromagnetic wave theory with thermal-material interactions in advanced manufacturing processes.
Fiber laser cutting; electromagnetic field modelling; refractory steels; hardness
[1] M. Safari, S. M. Abtahi, and J. Joudaki, Experimental modeling, statistical analysis, and optimization of the laser-cutting process of Hardox 400 steel, Materials, vol. 17, no. 12, p. 2798, 2024.
[2] M. Yurdakul, T. Tukel, and Y. T. Iç, Development of a goal programming model based on response surface and analytic hierarchy process approaches for laser cutting process optimization, Journal of Advanced Manufacturing Systems, vol. 21, pp. 293–316, 2022.
[3] A. R. Patel and S. N. Bhavsar, Laser machining of die steel (EN-31): An experimental approach to optimise process parameters using response surface methodology, International Journal of Automotive and Mechanical Engineering, vol. 18, no. 1, pp. 8563–8576, 2021.
[4] K. Sket, D. Potocnik, L. Berus, et al., Optimizing laser cutting of stainless steel using Latin hypercube sampling and neural networks, Optics and Laser Technology, vol. 182, p. 112220, 2025.
[5] D. Itner, M. Nießen, and G. Vossen, Mathematical modeling and stability analysis for laser cutting via asymptotic expansion, International Journal of Mechanical Sciences, vol. 219, p. 107062, 2022.
[6] D. Halliday and R. Resnick, Physics, vol. I, Bucharest, Romania: Didactic and Pedagogical Publishing House, 1975.
[7] Y. A. Turkkan, M. Aslan, A. Tarkan, Ö. Aslan, C. Yuce, and N. Yavuz, Multi-objective optimization of fiber laser cutting of stainless-steel plates using Taguchi-based grey relational analysis, Metals, vol. 13, no. 1, p. 132, 2023. https://doi.org/10.3390/met13010132
[8] D. Y. Pimenov, L. F. Berti, G. Pintaude, G. X. Peres, Y. Chaurasia, N. Khanna, and K. Giasin, Influence of selective laser melting process parameters on the surface integrity of difficult-to-cut alloys: Comprehensive review and future prospects, International Journal of Advanced Manufacturing Technology, vol. 127, pp. 1071–1102, 2023. https://doi.org/10.1007/s00170-023-11541-8
[9] P. Zuo, T. Liu, F. Li, G. Wang, K. Zhang, X. Li, W. Han, H. Tian, and D. Zhu, Research progress on laser processing of carbon fiber composite materials, Polymer Composites, 2024. https://doi.org/10.1002/pc.29287
[10] C. Balasubramaniyan and K. Rajkumar, Identification of parametric conditions and the influence of laser interaction on the material removal and surface characteristics of 904L super austenitic stainless steel, International Journal on Interactive Design and Manufacturing, vol. 19, pp. 3527–3539, 2025.
[11] M. Alsaadawy, M. Dewidar, A. Said, I. Maher, and T. A. Shehabeldeen, A comprehensive review of studying the influence of laser cutting parameters on surface and kerf quality of metals, International Journal of Advanced Manufacturing Technology, vol. 130, pp. 1039–1074, 2024.
[12] A. K. Basak, K. Lightbody, and A. Pramanik, The effect of material intrinsic properties on the quality of machined surface during laser beam cutting, Materials Chemistry and Physics, vol. 336, p. 130546, 2025. https://doi.org/10.1016/j.matchemphys.2025.130546
[13] A. Mahrle, M. Borkmann, and P. Pfohl, Factorial analysis of fiber laser fusion cutting of AISI 304 stainless steel: Evaluation of effects on process performance, kerf geometry and cut edge roughness, Materials, vol. 14, no. 10, p. 2669, 2021. https://doi.org/10.3390/ma14102669
[14] M. Li, Evaluation of the effect of process parameters on the cut quality in fiber laser cutting of duplex stainless steel using response surface method (RSM), Infrared Physics & Technology, vol. 118, p. 103896, 2021. https://doi.org/10.1016/j.infrared.2021.103896
[15] W. Liao, G. Wang, L. Zhong, Y. Chen, and J. Wang, Feasibility analysis and cutting process research on laser cutting medium-thick 20CrNiMo steel plates using a high-power fiber laser without assisted blowing, Journal of Manufacturing Processes, vol. 111, pp. 130–138, 2024. https://doi.org/10.1016/j.jmapro.2024.01.020