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Acta Optica Sinica, Volume. 41, Issue 11, 1130001(2021)

Ammonium Perchlorate Water Content Prediction Models Based on Terahertz Time-Domain Spectroscopy

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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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (21)
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    Figures & Tables(11)
    PTFE sample cell and its stainless steel fixture

    Fig. 1. PTFE sample cell and its stainless steel fixture

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    Schematic of optical path for THz-TDS

    Fig. 2. Schematic of optical path for THz-TDS

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    Equivalent model based on effective medium theory

    Fig. 3. Equivalent model based on effective medium theory

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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

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    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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    Paper Information

    Category: Spectroscopy

    Received: Dec. 2, 2020

    Accepted: Jan. 8, 2021

    Published Online: Jun. 7, 2021

    The Author Email: Li Zhanfeng (109181294@qq.com)

    DOI:10.3788/AOS202141.1130001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology