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
  • show less

    The current ammonium perchlorate water content detection methods are difficult to meet the rapid and safe detection requirements. The time domain spectra of samples were first measured by the terahertz time domain spectroscopy technique and then the refractive index and the absorption coefficient were extracted. According to the Lambert-Beer law and the effective medium theory, the water content prediction model based on absorption coefficients was constructed. Simultaneously, according to the effective medium theory and the equal optical paths, the water content prediction model based on refractive indexes was constructed. These two prediction models both need to weigh the samples. In addition, this paper proposed another new water content prediction model based on absorption coefficients combined with refractive indexes, which does not need to weigh the samples under the condition of ensuring the measurement accuracy. The experimental results showed that when the water mass fractions of the samples in the same group were below 1%, the determination coefficients between water content and absorption coefficient or refractive index were both greater than 0.995. In contrast, when their water mass fractions were below 0.1%, the determination coefficients were around 0.95. The root mean square errors of prediction for these three models were all within 0.05%. The baseline shift between the predicted and measured water contents for different groups of samples is probably caused by the difference in sample preparation. The study shows that the proposed method provides a rapid, nondestructive, safe and high precision detection method for the detection of water contents in ammonium perchlorate and similar solid powder.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    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