Research output per year
Research output per year
Description
This is the software for converting a measured chord length distribution (CLD) data to particle size distribution (PSD). The CLD is measured with the Mettler Toledo focused beam reflectance measurement (FBRM) sensor immersed in a particle suspension, for example, crystalline particles in a crystallisation process. The software then performs the necessary calculations to estimate the PSD and the aspect ratio for the particles. Details on the use of the software are contained in the user guides. The software was developed under the EPSRC funded ICT-CMAC project (grant number EP/K014250/1).
Details of the workings of the algorithm behind the software are given in the publications:
[1] O. S. Agimelen et al., “Estimation of particle size distribution and aspect ratio of non-spherical particles from chord length distribution”, Chemical Engineering Science, 123, pp. 629–640, 2015.
[2] O. S. Agimelen et al., “Integration of in situ Imaging and Chord Length Distribution for Estimation of Particle Size and Shape”, Chemical Engineering Science 144, pp. 87-100, 2016.
We would greatly appreciate your feedback on your experience using the software. For further details or help using the software please contact the data creator using the contact details contained within the user guides provided.
Details of the workings of the algorithm behind the software are given in the publications:
[1] O. S. Agimelen et al., “Estimation of particle size distribution and aspect ratio of non-spherical particles from chord length distribution”, Chemical Engineering Science, 123, pp. 629–640, 2015.
[2] O. S. Agimelen et al., “Integration of in situ Imaging and Chord Length Distribution for Estimation of Particle Size and Shape”, Chemical Engineering Science 144, pp. 87-100, 2016.
We would greatly appreciate your feedback on your experience using the software. For further details or help using the software please contact the data creator using the contact details contained within the user guides provided.
| Date made available | 6 Mar 2018 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 2013 - 2017 |
Research output
- 2 Article
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Integration of in situ imaging and chord length distribution measurements for estimation of particle size and shape
Agimelen, O. S., Jawor-Baczynska, A., McGinty, J., Dziewierz, J., Tachtatzis, C., Cleary, A., Haley, I., Michie, C., Andonovic, I., Sefcik, J. & Mulholland, A. J., 22 Apr 2016, In: Chemical Engineering Science . 144, p. 87-100 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile43 Citations (Scopus)190 Downloads (Pure) -
Estimation of particle size distribution and aspect ratio of non-spherical particles from chord length distribution
Agimelen, O. S., Hamilton, P., Haley, I., Nordon, A., Vasile, M., Sefcik, J. & Mulholland, A. J., 17 Feb 2015, In: Chemical Engineering Science . 123, p. 629-640 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile53 Citations (Scopus)265 Downloads (Pure)
Projects
- 1 Finished
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Intelligent Decision Support Technologies for Continuous Manufacture
Andonovic, I. (Principal Investigator), Bititci, U. (Co-investigator), Florence, A. (Co-investigator), Gachagan, A. (Co-investigator), Johnston, B. (Co-investigator), Marshall, S. (Co-investigator), Michie, C. (Co-investigator), Mulholland, A. (Co-investigator), Nordon, A. (Co-investigator), Sefcik, J. (Co-investigator) & Vasile, M. (Co-investigator)
Novartis Pharma AG, Bayer Healthcare AG, EPSRC (Engineering and Physical Sciences Research Council), AstraZeneca UK Limited, Glaxo Smithkline (UK)
1/02/13 → 31/07/18
Project: Research
Datasets
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Data for: "Quantification of Particle Size and Concentration Using In-line Techniques and Multivariate Analysis"
Ferreira, C. S. (Creator), Cardona, J. (Contributor), Agimelen, O. (Contributor), Tachtatzis, C. (Supervisor), Andonovic, I. (Supervisor), Sefcik, J. (Supervisor) & Chen, Y.-C. (Supervisor), University of Strathclyde, 3 Aug 2020
DOI: 10.15129/2f3bdb7a-a19c-4e6c-86d8-368da31a2355
Dataset