SURFACE QUALITY ANALYSIS IN LASER CUTTING OF METALLIC MATERIALS: AN EXPERIMENTAL STUDY
Keywords:
Laser cutting, surface quality, process parameters, metallic materials, experimental study
Abstract
This research paper looks at the surface quality acquired during the laser cutting of metallic materials, with an emphasis on S235JR. We conducted studies on a FiberMak Momentum Gen-2 laser cutting machine to determine the effect of process settings on surface quality. We varied laser beam power and feed rate while keeping other parameters constant, such as nozzle diameter, CO2 pressure, and focal length. Results showed that surface quality is significantly influenced by these parameters. We identified two distinct zones on the cut surface: one with favorable roughness and another with less favorable roughness. Overall, increasing laser beam power led to improved surface quality, while increasing the feed rate resulted in a degradation of the surface. By analyzing the experimental data, we identified an optimal parameter combination for achieving high surface quality. These discoveries have practical applications in business and help to a theoretical knowledge of the laser cutting process.
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2. Kechagias, J.D., Ninikas, K., Petousis, M. and Vidakis, N., Laser cutting of 3D printed acrylonitrile butadiene styrene plates for dimensional and surface roughness optimization. The International Journal of Advanced Manufacturing Technology, pp.1-15, (2022).
3. Singh, Y., Singh, J., Sharma, S., Sharma, A. and Chohan, J.S., Process parameter optimization in laser cutting of Coir fiber reinforced Epoxy composite-a review. Materials Today: Proceedings, 48, pp.1021-1027, (2022).
4. Patel, A.R. and Bhavsar, S.N., 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, 18(1), pp.8563-8576, (2021).
5. Hammad, A., Churiaque, C., Sánchez-Amaya, J.M. and Abdel-Nasser, Y., Experimental and numerical investigation of hybrid laser arc welding process and the influence of welding sequence on the manufacture of stiffened flat panels. Journal of Manufacturing Processes, 61, pp.527-538, (2021).
6. Kechagias, J.D., Ninikas, K., Petousis, M., Vidakis, N. and Vaxevanidis, N., An investigation of surface quality characteristics of 3D printed PLA plates cut by CO2 laser using experimental design. Materials and Manufacturing Processes, 36(13), pp.1544-1553, (2021).
7. Riveiro, A., Quintero, F., Boutinguiza, M., Del Val, J., Comesaña, R., Lusquiños, F. and Pou, J., Laser cutting: A review on the influence of assist gas. Materials, 12(1), p.157, (2019).
8. Singh, Y., Singh, J., Sharma, S., Aggarwal, V. and Pruncu, C.I., Multi-objective optimization of kerf-taper and surface-roughness quality characteristics for cutting-operation on coir and carbon fibre reinforced epoxy hybrid polymeric composites during CO2-pulsed laser-cutting using RSM. Lasers in Manufacturing and Materials Processing, 8(2), pp.157-182, (2021).
9. Li, M., 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, 118, p.103896, (2021).
10. Nguyen, V., Altarazi, F. and Tran, T., Optimization of process parameters for laser cutting process of stainless steel 304: a comparative analysis and estimation with Taguchi method and response surface methodology. Mathematical Problems in Engineering, (2022).
11. Magdum, V.B., Kittur, J.K. and Kulkarni, S.C., Surface roughness optimization in laser machining of stainless steel 304 using response surface methodology. Materials Today: Proceedings, 59, pp.540-546, (2022).
12. Patel, A. and Bhavsar, S.N., Experimental investigation to optimize laser cutting process parameters for difficult to cut die alloy steel using response surface methodology. Materials Today: Proceedings, 43, pp.28-35, (2021).
13. Ding, H., Wang, Z. and Guo, Y., Multi-objective optimization of fiber laser cutting based on generalized regression neural network and non-dominated sorting genetic algorithm. Infrared Physics & Technology, 108, p.103337, (2020).
14. Madić, M., Gadallah, M.H. and Petković, D., Analysis of process efficiency in laser fusion cutting and some single-and multi-objective optimization aspects. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 236(2), pp.589-599, (2022).
15. Marimuthu, S., Dunleavey, J., Liu, Y., Antar, M. and Smith, B., Laser cutting of aluminium-alumina metal matrix composite. Optics & Laser Technology, 117, pp.251-259, (2019).
16. Sharifi, M. and Akbari, M., Experimental investigation of the effect of process parameters on cutting region temperature and cutting edge quality in laser cutting of AL6061T6 alloy. Optik, 184, pp.457-463, (2019).
17. Genna, S., Menna, E., Rubino, G. and Tagliaferri, V., Experimental investigation of industrial laser cutting: The effect of the material selection and the process parameters on the kerf quality. Applied Sciences, 10(14), p.4956, (2020).
18. . Rao B, S.D., Sethi, A. and Das, A.K., Fiber laser processing of GFRP composites and multi-objective optimization of the process using response surface methodology. Journal of Composite Materials, 53(11), pp.1459-1473, (2019).
19. Wang, J., Sun, Z., Gu, L. and Azimy, H., Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM). Infrared Physics & Technology, 118, p.103866, (2021).
20. Boudjemline, A., Boujelbene, M. and Bayraktar, E., Surface quality of Ti-6Al-4V titanium alloy parts machined by laser cutting. Engineering, Technology & Applied Science Research, 10(4), pp.6062-6067, (2020).
21. Bai, Y., Chaudhari, A. and Wang, H., Investigation on the microstructure and machinability of ASTM A131 steel manufactured by directed energy deposition. Journal of Materials Processing Technology, 276, p.116410, [2020].
22. Sibisi, P.N., Popoola, A.P.I., Arthur, N.K. and Pityana, S.L., Review on direct metal laser deposition manufacturing technology for the Ti-6Al-4V alloy. The International Journal of Advanced Manufacturing Technology, 107, pp.1163-1178, (2020).
Published
2023-12-29
How to Cite
Sandor, R., Szabo, K., Pop, A., Pasca, I., & Sikolya, L. (2023). SURFACE QUALITY ANALYSIS IN LASER CUTTING OF METALLIC MATERIALS: AN EXPERIMENTAL STUDY. Nonconventional Technologies Review, 27(4). Retrieved from http://www.revtn.ro/index.php/revtn/article/view/447
Section
Articles
Copyright (c) 2023 Ravai Nagy Sandor, Kristof Szabo, Alina Bianca Pop, Ioan Pasca, Laszlo Sikolya
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
