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Title: Characterisation of colloidal dispersions using ultrasound spectroscopy and multiple-scattering theory inclusive of shear-wave effects
Authors: Forrester, Michael
Huang, Jinrui
Pinfield, Valerie J.
Keywords: Shear-wave reconversion
Particle characterisation
Issue Date: 2016
Publisher: © The Authors. Published by Elsevier
Citation: FORRESTER, M., HUANG, J. and PINFIELD, V.J., 2016. Characterisation of colloidal dispersions using ultrasound spectroscopy and multiple-scattering theory inclusive of shear-wave effects. Chemical Engineering Research and Design, 114 (October), pp. 69–78.
Abstract: Ultrasonic spectrometry measures the attenuation of a sound wave propagating through a sample. In slurries the ultrasound signal becomes highly attenuated as a function of particle size, concentration and density. To monitor these properties in slurries the attenuation requires interpretation using a mathematical model. We examine different sizes of silica suspended in water, at different concentrations, and frequencies up to 100 MHz. We determine that a new multiple scattering theory inclusive of shear-wave reconversion effects (i.e. conversion of compressional wave to shear wave and back to compressional wave at the particle/liquid boundary) is successful for attenuation prediction in the range up to ≈20MHz and 20% (by volume). Beyond this level the model with shear-effects begins to deviate from the real attenuation, but is still more representative of the experimental results than modelling only an incident compressional wave. Thus, shear-wave reconversion modelling is essential to more accurately reflect the attenuation spectra in a solid particle in suspension system, and dictates the ultrasonic attenuation as particle sizes decrease and concentration increases.
Description: This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: The authors acknowledge funding from the EPSRC, grant number EP=L018780=1.
Version: Published
DOI: 10.1016/j.cherd.2016.08.008
URI: https://dspace.lboro.ac.uk/2134/22308
Publisher Link: http://dx.doi.org/10.1016/j.cherd.2016.08.008
ISSN: 0263-8762
Appears in Collections:Published Articles (Chemical Engineering)

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