Technical Report 158, c4e-Preprint Series, Cambridge

Compartmental residence time estimation in batch granulators using a colourimetric image analysis algorithm and Discrete Element Modelling

ref: Technical Report 158, c4e-Preprint Series, Cambridge

Authors: Andrew D McGuire, Kok Foong Lee, Maksym Dosta, Sebastian Mosbach, Jan-Georg Rosenboom, Stefan Heinrich, and Markus Kraft

Associated Theme: Particle Processes


Highlights
  • An experimental method/colourimetric algorithm for the estimation of coloured particle volume fractions in regions of a batch granulator is presented.
  • The algorithm is coupled with a mixing model to obtain residence times within key regions of system.
  • The performance of the combined algorithm/model is assessed using three distinct granular test cases.
Abstract

abstractIn this paper we present an experimental technique and a novel colourimetric image analysis algorithm to economically evaluate particle residence times within regions of batch granulators for use in compartmental population balance models. Residence times are extracted using a simple mixing model in conjunction with colourimetric data. The technique is applied to the mixing of wet coloured gran- ules (binary and tertiary systems) in a laboratory scale mixer. The resulting particle concentration evolutions were in qualitative agreement with those from the mixing model. It was seen that the algorithm was most stable in the case of the binary colour experiments. Lastly, simulations using the Discrete Element Method (DEM) were also performed to further validate the experimental results. Particle concentrations from the simulations were in good agreement with the experimental results.

Material from this preprint has been published in: Advanced Powder Technology, XXXX-YYYY, (2017)

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