Laser Journal, Volume. 46, Issue 2, 218(2025)

Prediction method of laser bevel cutting roughness for 50 mm-thick Q235 carbon steel with 40 kW based on PSO-RBF

LI Tianhao1, CHENG Wei1、*, LI Fengxi2, WANG Wentao1, XU Zifa1, and LYU Lei1
Author Affiliations
  • 1Laser Research Institute, Qilu University of Technology (Shandong Academy of Sciences, Jinan 250104, China
  • 2Jinan Senfeng Laser Technology Co., Ltd, Jinan 250353, China
  • show less
    References(5)

    [6] [6] Yilbas B S, Karatas C, Uslan I, et al. Wedge cutting of mild steel by CO2 laser and cut-quality assessment in relation to normal cutting[J]. Optics and Lasers in Engineering, 2008, 46(10): 777-784.

    [7] [7] Quintana G, Garcia - Romeu M L, Ciurana J. Surface roughness monitoring application based on artificial neural networks for ball-end milling operations[J]. Journal of Intelligent Manufacturing, 2011, 22: 607-617.

    [8] [8] Ding H, Wang Z, Guo Y. Multi-objective optimization of fiber laser cutting based on generalized regression neural network and non-dominated sorting genetic algorithm[J]. Infrared Physics & Technology, 2020, 108: 103337.

    [16] [16] Vagheesan S, Govindarajalu J. Hybrid neural network-particle swarm optimization algorithm and neural network-genetic algorithm for the optimization of quality characteristics during CO2 laser cutting of aluminum alloy[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41(8): 328.

    [19] [19] Niu B, Chen J, Liu F. Optimization on the fiber laser micro-cutting of thin stainless steel sheet by artificial neural networks[J]. Advanced Science Letters, 2011, 4(3): 810-813.

    Tools

    Get Citation

    Copy Citation Text

    LI Tianhao, CHENG Wei, LI Fengxi, WANG Wentao, XU Zifa, LYU Lei. Prediction method of laser bevel cutting roughness for 50 mm-thick Q235 carbon steel with 40 kW based on PSO-RBF[J]. Laser Journal, 2025, 46(2): 218

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Aug. 12, 2024

    Accepted: Jun. 12, 2025

    Published Online: Jun. 12, 2025

    The Author Email: CHENG Wei (chengweijob@163.com)

    DOI:10.14016/j.cnki.jgzz.2025.02.218

    Topics