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

Otto E, Dürr R, Strenzke G, Palis S, Bück A, Tsotsas E, Kienle A (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Advanced Powder Technology Elsevier

DOI: 10.1016/j.apt.2021.05.028

Abstract

Fluidized bed spray agglomeration is an important industrial particle formation process. In particular, the continuous operation mode is able to provide a constant stream of product particles with constant quality in terms of particle properties. Mathematical process modeling represents a valuable tool for a thorough analysis of the involved mechanistic processes and can further be used for process intensification and control. Sophisticated models describing the quantitative effect of process conditions on particle properties are particularly important. Therefore, in this contribution the influence of the seven most important operational parameters on the particle size distribution is modeled, including fluidization and binder properties. To this end, a population balance process model with the three-parametric Kapur kernel is fitted to experimental data. The first main result of this contribution is the quantitative description of the dependency between the agglomeration rate and the process conditions by multidimensional paraboloids. The second main result is the introduction of a general method by which this quantitative formulation is obtained.

Authors with CRIS profile

Andreas Bück Professur für Partikeltechnik

Involved external institutions

Otto-von-Guericke-Universität Magdeburg DE Germany (DE) Max-Planck-Institut für Dynamik komplexer technischer Systeme / Max Planck Institute for Dynamics of Complex Technical Systems DE Germany (DE)

How to cite

APA:

Otto, E., Dürr, R., Strenzke, G., Palis, S., Bück, A., Tsotsas, E., & Kienle, A. (2021). Kernel identification in continuous fluidized bed spray agglomeration from steady state data. Advanced Powder Technology. https://doi.org/10.1016/j.apt.2021.05.028

MLA:

Otto, Eric, et al. "Kernel identification in continuous fluidized bed spray agglomeration from steady state data." Advanced Powder Technology (2021).

BibTeX: Download