Multi-Quality Optimization in Pulsed Laser Cutting of Thin Laminated Cores Using the Preference Selection Index Method
Main Article Content
Abstract
This study explores a pulsed Nd:YAG laser cutting of thin laminated cores made from non-oriented electrical steel sheets, aiming to optimize cutting quality aims to investigate the cutting quality of a thin laminated core using a non-oriented electrical steel sheet by a pulsed fiber Nd: YAG laser. The influence of laser power (P), scanning speed (v), and pulse repetition rate (f) on cutting time (TC), recast layer height (H), and kerf surface roughness (Sa) is analyzed to determine optimal processing parameters. Each process parameter is elected with three levels, and a total of 27 experimental datasets are achieved. The preference selection index (PSI) method is used to determine the optimal cutting quality based on multiple criteria derived from experimental results. The best quality is found at No. 23 with process parameters of P = 18 W, v = 600 mm/s, and f = 30 kHz for qualities of TC = 20.6 s, H = 20.2 µm, and Sa = 2.4 µm.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Emura, M., Landgraf, F. J. G., Ross, W., & Barreta, J. R. (2003). The influence of cutting technique on the magnetic properties of electrical steels. Journal of Magnetism and Magnetic Materials, 254, 358-360.
Naumoski, H., Riedmüller, B., Minkow, A., Herr, U. (2015). Investigation of the influence of different cutting procedures on the global and local magnetic properties of non-oriented electrical steel. Journal of Magnetism and Magnetic Materials, 392, 126-133.
Siebert, R., Schneider, J., Beyer, E. (2014). Laser cutting and mechanical cutting of electrical steels and its effect on the magnetic properties. IEEE Transaction Magnetic, 50, 2001904.
Nguyen, T.H., Lin, C.K., Tung, P.C., Cuong, N.V., Ho, J.R. (2020). An extreme learning machine for predicting kerf waviness and heat affected zone in pulsed laser cutting of thin non-oriented silicon steel. Optics and Lasers in Engineering, 134, 106244.
Madić, M., Radovanović, M., Nedić B. (2012). Correlation between surface roughness characteristics in CO2 laser cutting of mild steel. Tribology in Industry, 34, 232-238.
Nguyen, T.H., Lin, C.K., Tung, P.C., Cuong, N.V., Ho, J.R. (2024). Manufacturing motor core lamination from thin non-oriented silicon steel sheet direct by pulsed laser. cutting using multi-quality optimized process parameters. The International Journal of Advanced Manufacturing Technology, 133, 199-220.
Miloš, M., Antucheviciene, J., Radovanović, M., Petković D. (2017). Determination of laser cutting process conditions using the preference selection index method. Optics and Laser Technology, 89, 214-220.
Haoues, S., Yallese, MA., Belhadi, S., Chihaoui, S., Uysal, A. (2023). Modeling and optimization in turning of PA66-GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: a comparative study The International Journal of Advanced Manufacturing Technology, 124(7-8), 2401-2421.
Maniya, K., Bhatt, MG. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31, 1785-1789.
Ghany, KA., Newishy, M. (2001). Cutting of 1.2 mm thick austenitic stainless steel sheet using pulsed and CW Nd: YAG laser. The Journal of Materials Processing Technology, 168, 438-447.