• Acta Optica Sinica
  • Vol. 42, Issue 9, 0912003 (2022)
Ningchao Zhang1、*, Fan Yang1, Juan Ren2, Yuetao Du1, Peng Wang1、**, and Fusheng Liu3
Author Affiliations
  • 1College of Electronics and Information Engineering, Xi′an Technological University, Xi′an 710021, Shaanxi, China
  • 2School of Science, Xi′an Technological University, Xi′an 710021, Shaanxi, China
  • 3Key Laboratory of Advanced Technologies of Materials, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
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    DOI: 10.3788/AOS202242.0912003 Cite this Article Set citation alerts
    Ningchao Zhang, Fan Yang, Juan Ren, Yuetao Du, Peng Wang, Fusheng Liu. Temperature Inversion Algorithm for Multi-Spectral Measurement of Material Shock Radiation Characteristics[J]. Acta Optica Sinica, 2022, 42(9): 0912003 Copy Citation Text show less
    Emissivity of three models with different values of M. (a) Model A; (b) model B; (c) model C
    Fig. 1. Emissivity of three models with different values of M. (a) Model A; (b) model B; (c) model C
    Emissivity of three models with different values of α. (a) Model A; (b) model B; (c) model C
    Fig. 2. Emissivity of three models with different values of α. (a) Model A; (b) model B; (c) model C
    Emissivity of three models with different values of w. (a) Model A; (b) model B; (c) model C
    Fig. 3. Emissivity of three models with different values of w. (a) Model A; (b) model B; (c) model C
    Emissivity of three models with different values of c1 and c2. (a) Model A; (b) model B; (c) model C
    Fig. 4. Emissivity of three models with different values of c1 and c2. (a) Model A; (b) model B; (c) model C
    Combined algorithm flow diagram
    Fig. 5. Combined algorithm flow diagram
    Emissivity of model A obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Fig. 6. Emissivity of model A obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Emissivity of model B obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Fig. 7. Emissivity of model B obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Emissivity of model C obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Fig. 8. Emissivity of model C obtained by different algorithms. (a) Sample temperature is 2000 K; (b) sample temperature is 2030 K; (c) sample temperature is 2060 K
    Schematic diagram of shock radiation temperature measurement experiment system
    Fig. 9. Schematic diagram of shock radiation temperature measurement experiment system
    Radiation intensity of sapphire under shock
    Fig. 10. Radiation intensity of sapphire under shock
    Relationship between radiation temperature and pressure of sapphire
    Fig. 11. Relationship between radiation temperature and pressure of sapphire
    Timet1t2t3t4t5t6
    Temperature /K3255.43415.43532.03656.33649.83624.0
    Table 1. 0 Temperature inversion results at different time
    Sample0.4 nm0.5 nm0.6 nm0.7 nm0.8 nm0.9 nm1 nm1.1 nm
    A0.850.800.750.700.650.600.550.50
    B0.500.550.600.650.700.750.800.85
    C0.850.800.750.700.700.750.800.85
    Table 1. Emissivity model of matter
    SampleM=0.1M=0.2M=0.3M=0.4M=0.5M=0.6M=0.7M=0.8M=0.9
    A2016.312017.421982.831983.562016.712016.371982.742016.911983.57
    B1972.832026.232026.872026.131972.032026.622026.921973.602027.52
    C2009.042008.542009.202008.151991.541991.541991.542008.952009.65
    Table 2. Temperature inversion results of three models with different values of MK
    Sample22.533.544.5
    A2015.151984.112014.611985.881984.772015.18
    B1967.402033.941966.741967.682032.562033.46
    C2006.012007.792006.772007.441992.732006.85
    Table 3. Temperature inversion results of three models with different values of αK
    SampleFixed value wLinear iteration value wImproved iterative value w
    A2037.12027.62016.6
    B2043.61951.21961.3
    C2020.12003.62003.1
    Table 4. Inversion temperature results of three models with different values of wK
    SampleFixed values c1 and c2Improved iterative values c1 and c2
    A2034.12026.7
    B1950.41970.1
    C2043.82035.2
    Table 5. Temperature inversion results of three models with different values of c1 and c2K
    Channel No.12345678
    Wavelength /μm0.40.50.60.70.80.91.01.1
    Table 6. Effective wavelengths of 8 channels
    Sample12345678
    A10.850.800.750.700.650.600.550.50
    A20.850.830.810.790.770.750.730.71
    A30.800.750.700.650.600.550.500.45
    A40.800.780.760.740.720.700.680.66
    A50.750.700.650.600.550.500.450.40
    A60.750.730.710.690.670.650.630.61
    A70.700.650.600.550.500.450.400.35
    A80.700.680.660.640.620.600.580.56
    A90.650.600.550.500.450.400.350.30
    B10.500.550.600.650.700.750.800.85
    B20.710.730.750.770.790.810.830.85
    B30.450.500.550.600.650.700.750.80
    B40.660.680.700.720.740.760.780.80
    B50.400.450.500.550.600.650.700.75
    B60.610.630.650.670.690.710.730.75
    B70.350.400.450.500.550.600.650.70
    B80.560.580.600.620.640.660.680.70
    B90.300.350.400.450.500.550.600.65
    C10.850.800.750.700.700.750.800.85
    C20.800.780.760.740.760.780.800.82
    C30.780.760.740.720.700.720.740.76
    C40.760.740.720.700.680.700.720.74
    C50.750.700.650.600.650.700.750.80
    C60.740.720.700.680.660.680.700.72
    C70.720.700.680.660.680.700.720.74
    C80.700.680.660.640.620.640.660.68
    C90.680.660.640.620.600.620.640.66
    Table 7. Emissivity samples of 8 channels
    Emissivity modelReference temperature /KLeast squares methodBP neural networkIPSO-multiplier penalty function
    Temperature /KRelative error /%Temperature /KRelative error /%Temperature /KRelative error /%
    A11943.75-2.81252032.311.615502022.211.1105000
    B120001961.49-1.92552020.431.021502007.430.3715000
    C11979.20-1.04002042.252.112502041.342.0670000
    A11926.64-5.09162052.071.087192053.041.1349754
    B120301954.46-3.72122036.250.307882037.620.3753695
    C11982.25-2.35222062.711.611332047.730.8733990
    A11951.92-5.24662074.750.716022073.720.6660194
    B120601980.49-3.85972054.28-0.277702067.180.3485437
    C12009.03-2.47432086.011.262622048.05-1.0655340
    Table 8. Temperature inversion results of three models obtained by three methods
    TimeRadiation intensity of different wavelength
    0.488 μm0.509 μm0.533 μm0.589 μm0.650 μm0.702 μm0.779 μm0.809 μm
    t10.5160.5540.6640.6880.7640.6950.7150.650
    t20.8010.9230.1090.1150.1251.1401.1801.090
    t31.1601.2501.4201.6501.7101.6601.6301.480
    t41.5101.7002.0202.2202.3702.3002.2602.110
    t51.7702.1302.4802.8003.0002.8402.9702.672
    t62.0402.3902.8203.2503.5803.5003.5603.320
    Table 9. Radiation intensity of 8 channels at different time1011 W·m-3·Sr-1
    Ningchao Zhang, Fan Yang, Juan Ren, Yuetao Du, Peng Wang, Fusheng Liu. Temperature Inversion Algorithm for Multi-Spectral Measurement of Material Shock Radiation Characteristics[J]. Acta Optica Sinica, 2022, 42(9): 0912003
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