Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (4)
  • Open Access

    ARTICLE

    Lattice Boltzmann-Based Numerical Simulation of Laser Welding in Solar Panel Busbars

    Dongfang Li1, Mingliang Zheng2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1955-1968, 2025, DOI:10.32604/fdmp.2025.069254 - 12 September 2025

    Abstract To address the limitations of traditional finite element methods, particularly the continuum assumption and difficulties in tracking the solid-liquid interface, this study introduces a lattice Boltzmann-based mathematical and physical model to simulate flow and heat transfer in the laser welding molten pool of tin-coated copper used in solar panel busbars (a thin strip or wire of conductive metal embedded on the surface of a solar cell to collect and conduct the electricity generated by the photovoltaic cell). The model incorporates key external forces, including surface tension, solid-liquid interface tension, and recoil pressure. A moving and… More >

  • Open Access

    ARTICLE

    Physics-Informed Gaussian Process Regression with Bayesian Optimization for Laser Welding Quality Control in Coaxial Laser Diodes

    Ziyang Wang1, Lian Duan1,2,*, Lei Kuang1, Haibo Zhou1, Ji’an Duan1

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2587-2604, 2025, DOI:10.32604/cmc.2025.065648 - 03 July 2025

    Abstract The packaging quality of coaxial laser diodes (CLDs) plays a pivotal role in determining their optical performance and long-term reliability. As the core packaging process, high-precision laser welding requires precise control of process parameters to suppress optical power loss. However, the complex nonlinear relationship between welding parameters and optical power loss renders traditional trial-and-error methods inefficient and imprecise. To address this challenge, a physics-informed (PI) and data-driven collaboration approach for welding parameter optimization is proposed. First, thermal-fluid-solid coupling finite element method (FEM) was employed to quantify the sensitivity of welding parameters to physical characteristics, including… More >

  • Open Access

    PROCEEDINGS

    Effect of Energy Coupling Mechanism on Molten Pool Stability During Fiber-Diode Hybrid Laser Welding of 2195 Al-Li Alloy

    Yanqiu Zhao1, Yue Li1, Ruizu Liu1, Jianfeng Wang1, Xiaohong Zhan1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012476

    Abstract The violent interaction between the high-energy laser beam and the 2195 Al-Li alloy dramatically disturbs the fluctuation behavior of the molten pool during welding process, which results in the poor forming quality and severe porosity defects. In this paper, an emerging coaxial hybrid heat source consisting of a 1080nm fiber laser and a 915nm diode laser is employed in the welding of 2195 Al-Li alloy in order to obtain the more stable molten pool. The distribution characteristics of the fiber-diode laser beam intensity were researched to reveal the energy coupling mechanism. The is-situ observation experiment More >

  • Open Access

    ARTICLE

    Nonlinear Identification and Control of Laser Welding Based on RBF Neural Networks

    Hongfei Wei1,*, Hui Zhao2, Xinlong Shi1, Shuang Liang3

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 51-65, 2022, DOI:10.32604/csse.2022.017739 - 08 October 2021

    Abstract A laser beam is a heat source with a high energy density; this technology has been rapidly developed and applied in the field of welding owing to its potential advantages, and supplements traditional welding techniques. An in-depth analysis of its operating process could establish a good foundation for its application in China. It is widely understood that the welding process is a highly nonlinear and multi-variable coupling process; it comprises a significant number of complex processes with random uncertain factors. Because of their nonlinear mapping and self-learning characteristics, artificial neural networks (ANNs) have certain advantages… More >

Displaying 1-10 on page 1 of 4. Per Page