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Mechanisms behind overshoots in mean cluster size profiles in aggregation-breakup processes
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.ORCID iD: 0000-0002-1881-2686
Max Planck Inst Dynam Complex Tech Syst, Proc Syst Engn, Sandtorstr 1, D-39106 Magdeburg, Germany..
Max Planck Inst Dynam Complex Tech Syst, Proc Syst Engn, Sandtorstr 1, D-39106 Magdeburg, Germany.;Otto von Guericke Univ, Proc Syst Engn, Univ Pl 2, D-39106 Magdeburg, Germany..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemical Engineering.ORCID iD: 0000-0001-7995-3151
2018 (English)In: Journal of Colloid and Interface Science, ISSN 0021-9797, E-ISSN 1095-7103, Vol. 528, p. 336-348Article in journal (Refereed) Published
Abstract [en]

Aggregation and breakup of small particles in stirred suspensions often shows an overshoot in the time evolution of the mean cluster size: Starting from a suspension of primary particles the mean cluster size first increases before going through a maximum beyond which a slow relaxation sets in. Such behavior was observed in various systems, including polymeric latices, inorganic colloids, asphaltenes, proteins, and, as shown by independent experiments in this work, in the flocculation of microalgae. This work aims at investigating possible mechanism to explain this phenomenon using detailed population balance modeling that incorporates refined rate models for aggregation and breakup of small particles in turbulence. Four mechanisms are considered: (1) restructuring, (2) decay of aggregate strength, (3) deposition of large clusters, and (4) primary particle aggregation where only aggregation events between clusters and primary particles are permitted. We show that all four mechanisms can lead to an overshoot in the mean size profile, while in contrast, aggregation and breakup alone lead to a monotonic, "S" shaped size evolution profile. In order to distinguish between the different mechanisms simple protocols based on variations of the shear rate during the aggregation-breakup process are proposed.

Place, publisher, year, edition, pages
Academic Press, 2018. Vol. 528, p. 336-348
Keywords [en]
Population balance modeling, Colloidal aggregation, Shear aggregation, Aggregate breakup, Restructuring, Flocculation, Fractal aggregates, Turbulence
National Category
Chemical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-233260DOI: 10.1016/j.jcis.2018.05.064ISI: 000440127000036PubMedID: 29885609Scopus ID: 2-s2.0-85048509507OAI: oai:DiVA.org:kth-233260DiVA, id: diva2:1239614
Funder
Swedish Research Council, 2012-6216
Note

QC 20180817

Available from: 2018-08-17 Created: 2018-08-17 Last updated: 2018-08-17Bibliographically approved

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Sadegh-Vaziri, RamiarBäbler, Matthäus

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