Infrared and Laser Engineering, Volume. 47, Issue 10, 1004003(2018)

Model construction of biological particles′ average extinction efficiency factor in far infrared band

Hu Yihua1,2、*, Huang Baokun1,2, Gu Youlin1,2, and Zhao Yizheng1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    With the increasing demands for new biological extinction materials in military and civilian fields, the artificially prepared flocculent particles were equivalent to bullet rosette particles, which were further used to build the biological particles with different structures as a unit particle. And the structures of biological particles were characterized by parameterization. Then the discrete dipole approximation (DDA) method was used to calculate the average extinction efficiency factor for biological particles in the far infrared band. The results indicate that the average extinction efficiency factor of biological particles is positively correlated to the size factor and porosity in the far infrared band. Based on studying the relationship of average extinction efficiency factor with size factor and porosity, the biological particles average extinction efficiency factor model in the far infrared band was constructed. Using that model, the computation time was shorter than that of the DDA method, and the calculation error is less than 10%. The model provides a theoretical basis for the further development and morphology control of biological extinction materials.

    Tools

    Get Citation

    Copy Citation Text

    Hu Yihua, Huang Baokun, Gu Youlin, Zhao Yizheng. Model construction of biological particles′ average extinction efficiency factor in far infrared band[J]. Infrared and Laser Engineering, 2018, 47(10): 1004003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: 红外技术及应用

    Received: May. 10, 2018

    Accepted: Jun. 20, 2018

    Published Online: Nov. 25, 2018

    The Author Email: Yihua Hu (skl_hyh@163.com)

    DOI:10.3788/irla201847.1004003

    Topics