Abstract
Optical smoke detector suffers from significantly high false alarm rate caused by nuisance particles. A better knowledge of the optical properties of fire and non-fire aerosols will help to improve the performance of existing detectors. Scattering matrix analysis is a powerful methodology used in polarized light scattering. In this paper, we focused on the extraction of an indicator for discrimination between fire and non-fire aerosols. Numerical simulation of the angular distribution of single scattering matrix element by Lorenz–Mie theory and T-matrix method for smoldering fire smoke and flaming fire smoke, respectively, are presented for comparison with that of typical non-fire aerosols. The sensitivity of normalized scattering matrix element, F33/F11, to particle size distribution is investigated. The value of F33/F11 at 160° is proposed as an indicator for discrimination between typical fire and non-fire aerosols. Experimental measurement results for four aerosols, smoldering cotton fire smoke, flaming toluene fire smoke, dust and water droplets, demonstrated the effectiveness of this indicator.
Yongming Zhang: deceased
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Abbreviations
- I :
-
Stokes vector
- F :
-
Scattering matrix
- F :
-
Scattering matrix element
- N :
-
Number of primary particles in a fractal aggregate
- d :
-
Geometric mean diameter for a lognormal size distribution
- θ :
-
Scattering angle
- λ :
-
Wavelength of incident light
- σ :
-
Geometric mean standard deviation for a lognormal size distribution
- inc:
-
Incident light
- sca:
-
Scattered light
- i, j :
-
Row and column indices in scattering matrix
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Acknowledgements
This work was financially supported by the National Natural Science Foundation of China (Grant No. U1733126, and 41675024), and the National Key Research and Development Program of China (Grant No. 2017YFC0805100). The authors gratefully acknowledge all of these supports.
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Zhang, Q., Liu, J., Luo, J., Wang, F., Wang, J., Zhang, Y. (2020). Characterization of Typical Fire and Non-fire Aerosols by Polarized Light Scattering for Reliable Optical Smoke Detection. In: Wu, GY., Tsai, KC., Chow, W.K. (eds) The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology. AOSFST 2018. Springer, Singapore. https://doi.org/10.1007/978-981-32-9139-3_58
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DOI: https://doi.org/10.1007/978-981-32-9139-3_58
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