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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

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Integration of in situ imaging and chord length distribution measurements for estimation of particle size and shape

Agimelen, Okpeafoh S. and Jawor-Baczynska, Anna and McGinty, John and Dziewierz, Jerzy and Tachtatzis, Christos and Cleary, Alison and Haley, Ian and Michie, Craig and Andonovic, Ivan and Sefcik, Jan and Mulholland, Anthony J. (2016) Integration of in situ imaging and chord length distribution measurements for estimation of particle size and shape. Chemical Engineering Science, 144. pp. 87-100. ISSN 0009-2509

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Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process to obtain required attributes will be greatly facilitated using robust algorithms providing the size and shape information of the particles from in situ measurements. However, obtaining particle size and shape information in situ during manufacturing has been a big challenge. This is because the problem of estimating particle size and shape (aspect ratio) from signals provided by in-line measuring tools is often ill posed, and therefore it calls for appropriate constraints to be imposed on the problem. One way to constrain uncertainty in estimation of particle size and shape from in-line measurements is to combine data from different measurements such as chord length distribution (CLD) and imaging. This paper presents two different methods for combining imaging and CLD data obtained with in-line tools in order to get reliable estimates of particle size distribution and aspect ratio, where the imaging data is used to constrain the search space for an aspect ratio from the CLD data.