PBE Modeling of Overshoot in Mean Cluster Size Proles in Aggregation-Breakup Processes
(English)Manuscript (preprint) (Other academic)
In monitoring the mean size of clusters during an aggregation-breakup process, it has been repeatedlyobserved that the mean size increases with time to a maximum and then decreases, resulting in an overshootin the means size prole. The decrease in the mean size prole has often explained as an eect of breakupof aggregates. In this work, we investigate three possible mechanisms that lead to an overshoot by usingnumerical analysis of population balance equations describing aggregation-breakup systems. The consideredmechanisms are deposition of large clusters, restructuring of clusters, and primary particle aggregation, wheretwo clusters aggregate only if one of them is a primary particle. The results show that all the suggestedmechanisms lead to an overshoot. It is only in the case of primary particle aggregation that the decrease inthe mean size is due to the dominance of breakup. Also, restructuring of fractal aggregates to form morecompact clusters explains the overshoot during aggregation-breakup with restructuring of clusters, while inthe case of deposition of large clusters, mass loss due to deposition of large aggregates leads to an overshoot.
population balance equations (PBEs), deposition of large clusters, restructuring of aggregates, primary particle aggregation.
Chemical Process Engineering
Research subject Chemical Engineering
IdentifiersURN: urn:nbn:se:kth:diva-204608OAI: oai:DiVA.org:kth-204608DiVA: diva2:1085604
QC 201703302017-03-292017-03-292017-03-30Bibliographically approved