Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization
Particle transport is still an immense challenge in many processes today and affects both the operation and the consistency of the product quality, which is essential in the pharmaceutical industry, for example. Therefore, we developed a suspension correlation of particles in the crystallization pro...
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Format: | Article |
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MDPI AG
2023-04-01
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Series: | ChemEngineering |
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Online Access: | https://www.mdpi.com/2305-7084/7/2/34 |
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author | Anne Cathrine Kufner Nico Westkämper Henrik Bettin Kerstin Wohlgemuth |
author_facet | Anne Cathrine Kufner Nico Westkämper Henrik Bettin Kerstin Wohlgemuth |
author_sort | Anne Cathrine Kufner |
collection | DOAJ |
description | Particle transport is still an immense challenge in many processes today and affects both the operation and the consistency of the product quality, which is essential in the pharmaceutical industry, for example. Therefore, we developed a suspension correlation of particles in the crystallization process for a slug flow crystallizer in the field of small-scale continuous crystallization in this paper to predict and ensure a reproducible process and consistent product quality. Furthermore, the developed suspension correlation shall provide the possibility to perform mechanistic modeling of the agglomeration behavior depending on the operating parameters in the crystallization process. For this purpose, already existing dimensionless numbers were evaluated and modified employing force balances in order to predict the particle behavior in the liquid compartments in the slug flow crystallizer under different operating conditions and particle shapes of the substance system <span style="font-variant: small-caps;">l</span>-alanine/water using L-glutamic acid as impurity during crystallization. |
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format | Article |
id | doaj.art-a2fee1d578ca49318cc99b2b0ee21417 |
institution | Directory Open Access Journal |
issn | 2305-7084 |
language | English |
last_indexed | 2024-03-11T05:09:18Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
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spelling | doaj.art-a2fee1d578ca49318cc99b2b0ee214172023-11-17T18:44:17ZengMDPI AGChemEngineering2305-70842023-04-01723410.3390/chemengineering7020034Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow CrystallizationAnne Cathrine Kufner0Nico Westkämper1Henrik Bettin2Kerstin Wohlgemuth3Laboratory of Plant and Process Design, Department of Biochemical and Chemical Engineering, TU Dortmund University, D-44227 Dortmund, GermanyLaboratory of Plant and Process Design, Department of Biochemical and Chemical Engineering, TU Dortmund University, D-44227 Dortmund, GermanyLaboratory of Plant and Process Design, Department of Biochemical and Chemical Engineering, TU Dortmund University, D-44227 Dortmund, GermanyLaboratory of Plant and Process Design, Department of Biochemical and Chemical Engineering, TU Dortmund University, D-44227 Dortmund, GermanyParticle transport is still an immense challenge in many processes today and affects both the operation and the consistency of the product quality, which is essential in the pharmaceutical industry, for example. Therefore, we developed a suspension correlation of particles in the crystallization process for a slug flow crystallizer in the field of small-scale continuous crystallization in this paper to predict and ensure a reproducible process and consistent product quality. Furthermore, the developed suspension correlation shall provide the possibility to perform mechanistic modeling of the agglomeration behavior depending on the operating parameters in the crystallization process. For this purpose, already existing dimensionless numbers were evaluated and modified employing force balances in order to predict the particle behavior in the liquid compartments in the slug flow crystallizer under different operating conditions and particle shapes of the substance system <span style="font-variant: small-caps;">l</span>-alanine/water using L-glutamic acid as impurity during crystallization.https://www.mdpi.com/2305-7084/7/2/34particle suspension predictionvarious particle shapescontinuous crystallizationslug flow crystallizermechanistic modeling |
spellingShingle | Anne Cathrine Kufner Nico Westkämper Henrik Bettin Kerstin Wohlgemuth Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization ChemEngineering particle suspension prediction various particle shapes continuous crystallization slug flow crystallizer mechanistic modeling |
title | Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization |
title_full | Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization |
title_fullStr | Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization |
title_full_unstemmed | Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization |
title_short | Prediction of Particle Suspension State for Various Particle Shapes Used in Slug Flow Crystallization |
title_sort | prediction of particle suspension state for various particle shapes used in slug flow crystallization |
topic | particle suspension prediction various particle shapes continuous crystallization slug flow crystallizer mechanistic modeling |
url | https://www.mdpi.com/2305-7084/7/2/34 |
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