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Numerical Analysis of Ultrasonic Multiple Scattering for Fine Dust Number Density Estimation.
- Source :
- Applied Sciences (2076-3417); 1/15/2021, Vol. 11 Issue 2, p555, 13p
- Publication Year :
- 2021
-
Abstract
- In this study, a method is presented for estimating the number density of fine dust particles (the number of particles per unit area) through numerical simulations of multiply scattered ultrasonic wavefields. The theoretical background of the multiple scattering of ultrasonic waves under different regimes is introduced. A series of numerical simulations were performed to generate multiply scattered ultrasonic wavefield data. The generated datasets are subsequently processed using an ultrasound data processing approach to estimate the number density of fine dust particles in the air based on the independent scattering approximation theory. The data processing results demonstrate that the proposed approach can estimate the number density of fine dust particles with an average error of 43.4% in the frequency band 1–10 MHz (wavenumber × particle radius ≤ 1) at a particle volume fraction of 1%. Several other factors that affect the accuracy of the number density estimation are also presented. [ABSTRACT FROM AUTHOR]
- Subjects :
- DUST
NUMERICAL analysis
PARTICULATE matter
ULTRASONIC waves
DENSITY
WAVENUMBER
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 11
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 148343107
- Full Text :
- https://doi.org/10.3390/app11020555