Document Type
Article
Publication Date
1-8-2021
Department
Department of Mechanical Engineering-Engineering Mechanics
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.
Publication Title
Applied Sciences (Switzerland)
Recommended Citation
Song, H.,
Woo, U.,
&
Choi, H.
(2021).
Numerical analysis of ultrasonic multiple scattering for fine dust number density estimation.
Applied Sciences (Switzerland),
11(2), 1-13.
http://doi.org/10.3390/app11020555
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/14613
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Publisher’s version of record: https://doi.org/10.3390/app11020555