Dynamic Modelling of Particle Formulation in Horizontal Fluidized Beds

Meyer, Katja; Bück, Andreas; Tsotsas, Evangelos

doi:10.1016/b978-0-444-63455-9.50129-x

Cited by 2 publications

(2 citation statements)

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“…particle size distribution , particle moisture content and relative wetted surface area of the particles , as well as the outlet gas properties such as temperature and moisture content . A detailed description of the population balance model of the multi-zone and multi-compartment model for spray layering granulation used in this study can be found in [2,3].…”

Section: Dynamic Model and Parameter Studymentioning

confidence: 99%

“…One process widely used for particle size enlargement and coating is the fluidized bed layering granulation process [1]. In earlier works on this issue a multi-zone and multicompartment model for the dynamic simulation of a horizontal fluidized bed spray granulator has been derived and described [2,3]. In this paper the extension of this model by an additional drying model considering the wetted surface area is presented.…”

Section: Introductionmentioning

confidence: 99%

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Multi-zone & multi-compartment model for dynamic simulation of horizontal fluidized bed granulator

Mielke

Bück

Tsotsas

2018

Proceedings of 21th International Drying Symposium

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Due to the ongoing development and implementation of process control and observation techniques in production processes of particulate products, the research on complexly designed process apparatuses has become of great interest. The work presented in this paper is focused on a model-based study on a multi-chamber horizontal fluidized bed apparatus for fluidized bed layering granulation. The model for the solid phase is extended by a new drying model. Because of the great variety of parameters that influence this complex system a preliminary model-based study on a simplified setup shall show which construction or process parameters influence the product quality. Keywords: fluidized bed granulation; population balance modeling; surface moisture content; drying

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Section: Dynamic Model and Parameter Studymentioning

confidence: 99%