Infrared and Laser Engineering, Volume. 49, Issue 3, 0305003(2020)
Automatic acquisition of dynamic characteristics of fused silicon particle ejection induced by laser
Fig. 1. Typical experimental images obtained by the two-frame shadowgraphy system
Fig. 2. Flow chart of automatic acquisition algorithm for dynamic characteristics of laser-induced fused silicon exit surface particle ejection
Fig. 3. Particle recognition results. (a) Results of particle recognition after image denoising;(b) Particle recognition results without image denoising
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
Fig. 6. Particle matching results based on layered Voronoi diagram and elastic potential model
Fig. 7. Ratio of the number of correct matching to the total number of particle matching with diverse delays
Fig. 8. Estimation of particles instantaneous speed and size at diverse delay times
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
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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
Received: Apr. 29, 2019
Accepted: --
Published Online: Apr. 22, 2020
The Author Email: Shen Chao (cshen@aiofm.ac.cn), Zhang Yujun (yjzhang@aiofm.ac.cn)