Feedback control strategies for a continuous industrial fluidized-bed granulation process

Cotabarren, Ivana María; Bertin, Diego Esteban; Bucalá, Verónica; Piña, Juliana

doi:10.1016/j.powtec.2015.06.010

Cited by 15 publications

(2 citation statements)

References 53 publications

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“…Based on the established model, various controllers can be designed and validated. Palis and Kienle [28,29] and Cotabarren et al [30] proved that feedback controllers are suitable to ensure the operation of FBLG processes under stable steady state conditions. Bück et al [31] presented a strategy to control the moisture content of particulate solid as a product property in a drying process.…”

Section: Discussionmentioning

confidence: 99%

Influence of Thermal Conditions on Particle Properties in Fluidized Bed Layering Granulation

et al. 2018

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Fluidized bed layering granulation is frequently used to formulate particles of high quality.From previous studies, it is well known that the dynamic behavior of the process, as well as the product properties depend on operating parameters. The process is characterized by heat and mass transfer between fluidized particles and the surrounding fluidization medium. To investigate the mutual influence between particle phase and fluidization medium, a dynamic model is introduced. The model comprises two parts: a population balance model to describe the evolution of the particle sizes and a system of ordinary differential equations to account for thermal conditions. For the first time, the dynamic model considers the bidirectional coupling of particles and fluidization medium in fluidized bed layering granulation. By means of simulations, it is shown that the derived model is capable of reproducing the experimental findings.

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Section: Discussionmentioning

confidence: 99%

Influence of Thermal Conditions on Particle Properties in Fluidized Bed Layering Granulation

et al. 2018

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“…The emerging heterogeneity significantly affects the process and thereby the overall product properties. As an alternative to Monte-Carlo modeling approaches [5][6][7] the framework of population balance modeling (PBM) [8] can be used to account for the aforementioned heterogeneity in particle formation processes such as granulation (see [9][10][11] and the references therein) or agglomeration. Detailed modeling of all involved mechanisms would results in multi-dimensional population balance equations, which are in general multi-dimensional partial integro-differential equations and thus challenging to solve numerically (see [12,13] for an example).…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification For Continuous Fluidized Bed Spray Agglomeration

et al. 2018

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Agglomeration represents an important particle formation process used in many industries. One particularly attractive process setup is continuous fluidized bed spray agglomeration, which features good mixing as well as high heat and mass transfer on the one hand and constant product throughput with constant quality as well as high flow rates compared to batch mode on the other hand. Particle properties such as agglomerate size or porosity significantly affect overall product properties such as re-hydration behavior and dissolubility. These can be influenced by different operating parameters. In this manuscript, a population balance model for a continuous fluidized bed spray agglomeration is presented and adapted to experimental data. Focus is on the description of the dynamic behavior in continuous operation mode in a certain neighborhood around steady-state. Different kernel candidates are evaluated and it is shown that none of the kernels are able to match the first six minutes with time independent parameters. Afterwards, a good fit can be obtained, where the Brownian and the volume independent kernel models match best with the experimental data. Model fit is improved for identification on a shifted time domain neglecting the initial start-up phase. Here, model identifiability is shown and parameter confidence intervals are computed via parametric bootstrap.

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A comprehensive review on process and engineering aspects of pharmaceutical wet granulation

Suresh

Sreedhar

Vaidhiswaran

et al. 2017

Chemical Engineering Journal

122

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Feedback control strategies for a continuous industrial fluidized-bed granulation process

Cited by 15 publications

References 53 publications

Influence of Thermal Conditions on Particle Properties in Fluidized Bed Layering Granulation

Influence of Thermal Conditions on Particle Properties in Fluidized Bed Layering Granulation

Parameter Identification For Continuous Fluidized Bed Spray Agglomeration

A comprehensive review on process and engineering aspects of pharmaceutical wet granulation

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