Acta Photonica Sinica, Volume. 49, Issue 12, 191(2020)

Inversion of Multimodal Particle Size Distribution Based on the Artificial Bee Colony Algorithm

Liang SHAN1... Hao-ran LI1, Bo HONG1, Dao-dang WANG2, Ting-ting ZHA1 and Ming KONG2,* |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou3008, China
  • 2College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou310018, China
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    Figures & Tables(17)
    Single particle scattering model
    Flowchart of ABC algorithm
    Fitness value variation diagram
    The inversion results of unimodal distribution
    The inversion results of bimodal distribution
    The inversion results of trimodal distribution
    Experimental platform
    Experimental image of unimodal particle system
    Experimental image of bimodal particle system
    Distribution of light energy values
    • Table 1. The inversion results of unimodal distribution

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      Table 1. The inversion results of unimodal distribution

      Distribution function

      Mean value

      (σ, M)

      Standard deviation

      (σ, M)

      RRMSE/%
      Normal distribution10.00, 45.006.63×10-6, 6.28×10-62.26×10-6
      RR distribution10.00, 45.009.39×10-8, 6.61×10-83.53×10-8
      JSB distribution10.00, 45.000.002, 0.0010.02
    • Table 2. The inversion results of bimodal distribution

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      Table 2. The inversion results of bimodal distribution

      Distribution function

      Mean value

      (σ1, σ2, M1, M2)

      Standard deviation

      σ1, σ2, M1, M2)

      RRMSE/%
      Normal distribution

      6.00, 6.04

      30.00, 70.03

      0.002, 0.001

      0.001, 0.002

      0.48
      RR distribution

      5.99, 6.02

      30.01, 70.10

      0.034, 0.019

      0.025, 0.197

      0.33
      JSB distribution

      5.99, 6.16

      30.01, 70.03

      0.038, 0.312

      0.024, 0.076

      1.58
    • Table 3. The inversion results of trimodal distribution

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      Table 3. The inversion results of trimodal distribution

      Distribution function

      Mean value

      (σ1, σ2, σ3, M1, M2, M3)

      Standard deviation

      (σ1, σ2, σ3, M1, M2, M3)

      RRMSE/%
      Normal distribution

      4.98, 4.60, 5.43

      14.98, 49.57, 89.34

      0.08, 0.94, 3.06

      0.05, 0.70, 2.23

      8.60
      RR distribution

      5.00, 5.39, 5.61

      15.07, 51.43, 89.60

      0.08, 0.33, 3.03

      0.13, 4.62, 8.05

      5.54
      JSB distribution

      5.35, 7.81, 4.55

      15.02, 49.93, 89.63

      0.61, 4.51, 3.04

      0.06, 0.78, 4.90

      19.62
    • Table 4. The inversion results of RR distribution function with random noise

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      Table 4. The inversion results of RR distribution function with random noise

      Distribution functionRandom noiseMean valueStandard deviationRRMSE/%

      Unimodal

      (σ, M)=(10, 45 μm)

      1%9.97, 45.000.002, 0.0010.26
      3%10.14, 45.150.021, 0.0132.40
      5%9.89, 44.670.006, 0.0045.03
      10%9.05, 45.140.013, 0.0148.73

      Bimodal

      (σ1, σ2)=(6, 6),

      (M1, M2)=(30 μm, 70 μm)

      1%

      6.04, 6.26

      29.90, 70.02

      0.005, 0.023

      0.012, 0.073

      2.41
      3%

      6.10, 5.85

      29.84, 70.68

      0.008, 0.043

      0.007, 0.056

      3.34
      5%

      5.71, 4.99

      30.80, 72.11

      0.014, 0.099

      0.038, 0.341

      14.27
      10%

      6.33, 8.39

      29.53, 69.58

      0.012, 0.050,

      0.014, 0.047

      18.55

      Trimodal

      (σ1, σ2, σ3)=(5, 5, 5),(M1, M2, M3)=(15 μm, 50 μm, 90 μm)

      1%

      4.95, 5.47, 7.48

      15.12, 50.61, 93.79

      0.14, 0.45, 4.90

      0.12, 2.99, 3.14

      12.00
      3%

      4.99, 5.17, 5.88

      15.27, 54.62, 89.37

      0.11, 3.52, 4.85

      0.20, 1.77, 3.37

      14.45
      5%

      4.57, 5.30, 4.88

      15.50, 55.72, 89.68

      0.13, 1.25, 6.47

      0.17, 2.07, 11.81

      18.87
      10%

      5.58, 5.71, 6.18

      15.11, 57.02, 100.02

      0.11, 0.70, 2.39

      0.08, 2.10, 1.93

      20.14
    • Table 5. The simulation results of ABC algorithm, NNPT algorithm and Chahine algorithm

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      Table 5. The simulation results of ABC algorithm, NNPT algorithm and Chahine algorithm

      Theoretical valueRandom noiseNNPT RRMSE/%Chahine RRMSE/%ABC RRMSE/%
      (σ, M)=(2, 30 μm)0%0.873.490.02
      5%29.8814.131.48
      (σ, M)=(4, 30 μm)0%21.821.162.27×10-8
      5%40.2714.313.65
      (σ, M)=(6, 30 μm)0%45.980.201.72×10-5
      5%52.9312.132.41
      (σ1, σ2)=(2, 2),(M1, M2)=(30 μm, 60 μm)0%3.382.701.53
      5%23.1125.5610.34
      (σ1, σ2)=(4, 4),(M1, M2)=(30 μm, 60 μm)0%20.948.060.07
      5%26.8625.175.75
      (σ1, σ2)=(6, 6),(M1, M2)=(30 μm, 60 μm)0%41.856.361.23
      5%44.9924.3618.22
    • Table 6. The inversion results of unimodal particle system

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      Table 6. The inversion results of unimodal particle system

      Theoretical value (M)Initial value rangeInversion algorithmInversion value(MRelative error (M) /%
      30 µmM∈[3~100]ABC30.97 µm3.23
      NNPT32.27 µm7.57
    • Table 7. The inversion results of bimodal particle system

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      Table 7. The inversion results of bimodal particle system

      Theoretical value(M1, M2Initial value rangeInversion algorithmInversion value(M1, M2Relative error (M1, M2)/%
      30 µm, 51 μmM∈[3~100]ABC31.48 μm, 51.90 μm4.93, 1.76
      NNPT32.27 μm, 53.83 μm7.57, 5.55
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    Liang SHAN, Hao-ran LI, Bo HONG, Dao-dang WANG, Ting-ting ZHA, Ming KONG. Inversion of Multimodal Particle Size Distribution Based on the Artificial Bee Colony Algorithm[J]. Acta Photonica Sinica, 2020, 49(12): 191

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    Paper Information

    Category: Scattering

    Received: --

    Accepted: --

    Published Online: Mar. 11, 2021

    The Author Email: KONG Ming (mkong@cjlu.edu.cn)

    DOI:10.3788/gzxb20204912.1229002

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