• Acta Optica Sinica
  • Vol. 41, Issue 11, 1130001 (2021)
Lichuan Luo1、3, Hu Deng2、3, Quancheng Liu2、3, Linyu Chen2、3, and Zhanfeng Li1、3、*
Author Affiliations
  • 1School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
  • 2School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
  • 3Sichuan Province Key Laboratory of Robot Technology Used for Special Environment, Mianyang, Sichuan 621010, China
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    DOI: 10.3788/AOS202141.1130001 Cite this Article Set citation alerts
    Lichuan Luo, Hu Deng, Quancheng Liu, Linyu Chen, Zhanfeng Li. Ammonium Perchlorate Water Content Prediction Models Based on Terahertz Time-Domain Spectroscopy[J]. Acta Optica Sinica, 2021, 41(11): 1130001 Copy Citation Text show less
    PTFE sample cell and its stainless steel fixture
    Fig. 1. PTFE sample cell and its stainless steel fixture
    Schematic of optical path for THz-TDS
    Fig. 2. Schematic of optical path for THz-TDS
    Equivalent model based on effective medium theory
    Fig. 3. Equivalent model based on effective medium theory
    Measurement results for first group of samples. (a) Time domain spectra; (b) absorption spectra; (c) refractive index spectra
    Fig. 4. Measurement results for first group of samples. (a) Time domain spectra; (b) absorption spectra; (c) refractive index spectra
    Measurement results for second group of samples. (a) Time domain spectra; (b) absorption spectra; (c) refractive index spectra
    Fig. 5. Measurement results for second group of samples. (a) Time domain spectra; (b) absorption spectra; (c) refractive index spectra
    Relationship between measured water content in first group of samples and optical parameters. (a) Absorption coefficient; (b) refractive index; (c) enlarged image of partial absorption coefficient; (d) enlarged image of partial refractive index
    Fig. 6. Relationship between measured water content in first group of samples and optical parameters. (a) Absorption coefficient; (b) refractive index; (c) enlarged image of partial absorption coefficient; (d) enlarged image of partial refractive index
    Relationship between measured water content in second group of samples and optical parameters. (a) Absorption coefficient; (b) refractive index; (c) enlarged image of partial absorption coefficient; (d) enlarged image of partial refractive index
    Fig. 7. Relationship between measured water content in second group of samples and optical parameters. (a) Absorption coefficient; (b) refractive index; (c) enlarged image of partial absorption coefficient; (d) enlarged image of partial refractive index
    Prediction results of three prediction models. (a) Prediction model based on absorption coefficient; prediction model based on refractive index; (c) new prediction model
    Fig. 8. Prediction results of three prediction models. (a) Prediction model based on absorption coefficient; prediction model based on refractive index; (c) new prediction model
    Measurement and prediction results for first group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Fig. 9. Measurement and prediction results for first group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Measurement and prediction results for second group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Fig. 10. Measurement and prediction results for second group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Measurement and prediction results for different group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Fig. 11. Measurement and prediction results for different group of samples. (a) Prediction model based on absorption coefficient; (b) prediction model based on refractive index; (c) new prediction model
    Lichuan Luo, Hu Deng, Quancheng Liu, Linyu Chen, Zhanfeng Li. Ammonium Perchlorate Water Content Prediction Models Based on Terahertz Time-Domain Spectroscopy[J]. Acta Optica Sinica, 2021, 41(11): 1130001
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