• Infrared and Laser Engineering
  • Vol. 49, Issue 3, 0305003 (2020)
Yangliang Li1, Chao Shen2、*, Li Shao1, and Yujun Zhang1、*
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, China
  • 2Key Laboratory of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
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    DOI: 10.3788/IRLA202049.0305003 Cite this Article
    Yangliang Li, Chao Shen, Li Shao, Yujun Zhang. Automatic acquisition of dynamic characteristics of fused silicon particle ejection induced by laser[J]. Infrared and Laser Engineering, 2020, 49(3): 0305003 Copy Citation Text show less
    Typical experimental images obtained by the two-frame shadowgraphy system
    Fig. 1. Typical experimental images obtained by the two-frame shadowgraphy system
    Flow chart of automatic acquisition algorithm for dynamic characteristics of laser-induced fused silicon exit surface particle ejection
    Fig. 2. Flow chart of automatic acquisition algorithm for dynamic characteristics of laser-induced fused silicon exit surface particle ejection
    Particle recognition results. (a) Results of particle recognition after image denoising;(b) Particle recognition results without image denoising
    Fig. 3. Particle recognition results. (a) Results of particle recognition after image denoising;(b) Particle recognition results without image denoising
    Characteristic curve of a Voronoi cell
    Fig. 4. Characteristic curve of a Voronoi cell
    Particle matching results based on the layered Voronoi diagram, where the particles labeled with the same number are the same particles at 8 000 ns and 8 300 ns delays, respectively
    Fig. 5. Particle matching results based on the layered Voronoi diagram, where the particles labeled with the same number are the same particles at 8 000 ns and 8 300 ns delays, respectively
    Particle matching results based on layered Voronoi diagram and elastic potential model
    Fig. 6. Particle matching results based on layered Voronoi diagram and elastic potential model
    Ratio of the number of correct matching to the total number of particle matching with diverse delays
    Fig. 7. Ratio of the number of correct matching to the total number of particle matching with diverse delays
    Estimation of particles instantaneous speed and size at diverse delay times
    Fig. 8. Estimation of particles instantaneous speed and size at diverse delay times
    Velocity vector field of particle ejection phenomenon, where the vector length represents the magnitude of velocity and the vector arrow represents the direction of velocity
    Fig. 9. Velocity vector field of particle ejection phenomenon, where the vector length represents the magnitude of velocity and the vector arrow represents the direction of velocity
    Yangliang Li, Chao Shen, Li Shao, Yujun Zhang. Automatic acquisition of dynamic characteristics of fused silicon particle ejection induced by laser[J]. Infrared and Laser Engineering, 2020, 49(3): 0305003
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