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  Kernel identification in continuous fluidized bed spray agglomeration from steady state data

Otto, E., Dürr, R., Strenzke, G., Palis, S., Bück, A., Tsotsas, E., et al. (2021). Kernel identification in continuous fluidized bed spray agglomeration from steady state data. Advanced Powder Technology, 32(7), 2517-2529. doi:10.1016/j.apt.2021.05.028.

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2021 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. This is an open access article under the CC BY-NC-ND license.

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 Creators:
Otto, Eric1, Author
Dürr, Robert2, Author              
Strenzke, Gerd1, Author
Palis, Stefan1, 3, Author
Bück, Andreas4, Author
Tsotsas, Evangelos1, Author
Kienle, Achim1, 2, Author              
Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
2Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
3National Research University “Moscow Power Engineering Institute”, Moscow, Russia, ou_persistent22              
4Institute of Particle Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstraße 4, 91058 Erlangen, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.apt.2021.05.028
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Title: Advanced Powder Technology
Source Genre: Journal
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Pages: - Volume / Issue: 32 (7) Sequence Number: - Start / End Page: 2517 - 2529 Identifier: -