• High Power Laser and Particle Beams
  • Vol. 35, Issue 3, 035005 (2023)
Jinglin Zhao, Zhiqiang Wang*, Jinjun Wang, Dongdong Zhang, and Guofeng Li
Author Affiliations
  • College of Electrical Engineering, Dalian University of Technology, Liaoning Dalian 116024
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    DOI: 10.11884/HPLPB202335.220240 Cite this Article
    Jinglin Zhao, Zhiqiang Wang, Jinjun Wang, Dongdong Zhang, Guofeng Li. Deposited energy optimization analysis of discharge in water based on Kriging model[J]. High Power Laser and Particle Beams, 2023, 35(3): 035005 Copy Citation Text show less
    Schematic diagram of underwater high-voltage pulse discharge experiment system
    Fig. 1. Schematic diagram of underwater high-voltage pulse discharge experiment system
    Typical voltage and current waveform of high voltage pulse discharge in water
    Fig. 2. Typical voltage and current waveform of high voltage pulse discharge in water
    Plasma channel development process
    Fig. 3. Plasma channel development process
    Results of deposited energy calculation
    Fig. 4. Results of deposited energy calculation
    Flowchart of the optimization search analysis
    Fig. 5. Flowchart of the optimization search analysis
    Spatial distribution of the 20 initial sample points
    Fig. 6. Spatial distribution of the 20 initial sample points
    Cross-validation of the computational process
    Fig. 7. Cross-validation of the computational process
    Variation of root mean square error with the number of additions
    Fig. 8. Variation of root mean square error with the number of additions
    Multi-peak characteristics of deposited energy
    Fig. 9. Multi-peak characteristics of deposited energy
    Global optimization search flow chart
    Fig. 10. Global optimization search flow chart
    Comparison between experimental results and optimal deposited energy
    Fig. 11. Comparison between experimental results and optimal deposited energy
    voltage/kVelectrode spacing/mmconductivity/(mS·cm−1)
    13−172−50.2−0.8
    Table 1. Experimental variables and their scope
    voltage/kVconductivity/(mS·cm−1) electrode spacing/mmdeposited energy/J
    14.10.264.5340.46
    13.40.774.3726.00
    16.20.332.1662.3
    15.10.454.6846.87
    15.70.642.3251.81
    14.50.522.0041.74
    13.80.392.7940.09
    16.80.552.9559.76
    Table 2. Some of the initial sample points after inverse normalization and the corresponding experimental results
    voltage/kVconductivity/(mS·cm−1) electrode spacing/mmdeposited energy/J
    170.3312.2867.41
    170.425266.78
    170.22.0466.51
    170.83.565.6
    170.652.1966.93
    Table 3. After the normalization of some of the new points and the corresponding experimental results
    conductivity/(mS·cm−1) spacing variation Δd/mm deposited energy variation/J
    0.2417.59
    0.445.04
    0.648.96
    0.8413.56
    1411.4
    Table 4. Effect of electrode spacing variation on deposited energy at different conductivities
    voltage/kVconductivity/(mS·cm−1) electrode spacing/mmoptimal deposited energy/J
    170.82.2868.73
    Table 5. Global optimal solution of the model
    Jinglin Zhao, Zhiqiang Wang, Jinjun Wang, Dongdong Zhang, Guofeng Li. Deposited energy optimization analysis of discharge in water based on Kriging model[J]. High Power Laser and Particle Beams, 2023, 35(3): 035005
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