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

Okpeafoh S. Agimelen, Anna Jawor-Baczynska, John McGinty, Jerzy Dziewierz, Christos Tachtatzis, Alison Cleary, Ian Haley, Craig Michie, Ivan Andonovic, Jan Sefcik, Anthony J. Mulholland

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18 Citations (Scopus)

Abstract

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.
LanguageEnglish
Pages87-100
Number of pages14
JournalChemical Engineering Science
Volume144
Early online date14 Jan 2016
DOIs
Publication statusPublished - 22 Apr 2016

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Aspect ratio
Particle size
Imaging techniques
Particle size analysis
Processing
Uncertainty

Keywords

  • chord length distribution
  • particle size distribution
  • particle shape
  • focused beam reflectance measurement
  • imaging

Cite this

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title = "Integration of in situ imaging and chord length distribution measurements for estimation of particle size and shape",
abstract = "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.",
keywords = "chord length distribution, particle size distribution, particle shape, focused beam reflectance measurement, imaging",
author = "Agimelen, {Okpeafoh S.} and Anna Jawor-Baczynska and John McGinty and Jerzy Dziewierz and Christos Tachtatzis and Alison Cleary and Ian Haley and Craig Michie and Ivan Andonovic and Jan Sefcik and Mulholland, {Anthony J.}",
year = "2016",
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AU - Jawor-Baczynska, Anna

AU - McGinty, John

AU - Dziewierz, Jerzy

AU - Tachtatzis, Christos

AU - Cleary, Alison

AU - Haley, Ian

AU - Michie, Craig

AU - Andonovic, Ivan

AU - Sefcik, Jan

AU - Mulholland, Anthony J.

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AB - 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.

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