Modelling of artefacts in estimations of particle size of needle-like particles from laser diffraction measurements
Agimelen, Okpeafoh S. and Mulholland, Anthony J. and Sefcik, Jan (2017) Modelling of artefacts in estimations of particle size of needle-like particles from laser diffraction measurements. Chemical Engineering Science, 158. pp. 445-452. ISSN 0009-2509 (https://doi.org/10.1016/j.ces.2016.10.031)
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Abstract
Manufacturing of particulate products across many industries relies on accurate measurements of particle size distributions in dispersions or powders. Laser diffraction (or small angle light scattering) is commonly used, usually off-line, for particle size measurements. The estimation of particle sizes by this method requires the solution of an inverse problem using a suitable scattering model that takes into account size, shape and optical properties of the particles. However, laser diffraction instruments are usually accompanied by software that employs a default scattering model for spherical particles, which is then used to solve the inverse problem even though a significant number of particulate products occur in strongly non-spherical shapes such as needles. In this work, we demonstrate that using the spherical model for the estimation of sizes of needle-like particles can lead to the appearance of artefacts in the form of multimodal populations of particles with size modes much smaller than those actually present in the sample. This effect can result in a significant under-estimation of the mean particle size and in false modes in estimated particles size distributions.
ORCID iDs
Agimelen, Okpeafoh S. ORCID: https://orcid.org/0000-0002-0844-965X, Mulholland, Anthony J. ORCID: https://orcid.org/0000-0002-3626-4556 and Sefcik, Jan ORCID: https://orcid.org/0000-0002-7181-5122;-
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Item type: Article ID code: 58214 Dates: DateEvent2 February 2017Published18 October 2016Published Online17 October 2016AcceptedSubjects: Technology > Chemical engineering Department: Faculty of Engineering > Chemical and Process Engineering
Faculty of Science > Mathematics and Statistics
Technology and Innovation Centre > Continuous Manufacturing and Crystallisation (CMAC)Depositing user: Pure Administrator Date deposited: 24 Oct 2016 09:22 Last modified: 11 Nov 2024 11:32 URI: https://strathprints.strath.ac.uk/id/eprint/58214