Proportional control of moisture content of granules by adjusting inlet air temperature in fluidized bed granulation using near-infrared spectroscopy

Fujiwara, Maya; Momose, Wataru; Kuroda, Keiichi; Inatani, Tadashi; Yamashita, Kazunari; Sako, Kazuhiro

doi:10.1016/j.apt.2013.10.013

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…An increase in X 1 facilitated the evaporation of the liquid as well as promoted heat transfer from air to the granules. The results are consistent with those of other groups: The inlet air temperature is directly proportional to the MC of granules [ 46 ].…”

Section: Resultssupporting

confidence: 92%

A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control

Ming

et al. 2017

PLoS ONE

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Various modeling techniques were used to understand fluidized bed granulation using a two-step approach. First, Plackett-Burman design (PBD) was used to identify the high-risk factors. Then, Box-Behnken design (BBD) was used to analyze and optimize those high-risk factors. The relationship between the high-risk input variables (inlet air temperature X1, binder solution rate X3, and binder-to-powder ratio X5) and quality attributes (flowability Y1, temperature Y2, moisture content Y3, aggregation index Y4, and compactability Y5) of the process was investigated using response surface model (RSM), partial least squares method (PLS) and artificial neural network of multilayer perceptron (MLP). The morphological study of the granules was also investigated using a scanning electron microscope. The results showed that X1, X3, and X5 significantly affected the properties of granule. The RSM, PLS and MLP models were found to be useful statistical analysis tools for a better mechanistic understanding of granulation. The statistical analysis results showed that the RSM model had a better ability to fit the quality attributes of granules compared to the PLS and MLP models. Understanding the effect of process parameters on granule properties provides the basis for modulating the granulation parameters and optimizing the product performance at the early development stage of pharmaceutical products.

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Section: Resultssupporting

confidence: 92%

A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control

Ming

et al. 2017

PLoS ONE

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“…It can also act to improve the quality of the final product or to reduce manufacturing costs including restricting energy intake. Control of the drying process can also be effective in reducing the influence of external disturbances (Rodriguez, Vasseur & Courtois, 1996, Musen, Jianxiong & Wansheng, 2014, Maya et al, 2014.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modelling and Performance Optimization-Based Sliding Mode Control of Process Drying in a Convective Tunnel Dryer

Oueslati

Mabrouk

Mami³

2021

International Journal of System Dynamics Applications

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In this work, we thoroughly investigate the use of sliding mode control for nonlinear systems, specially its application for the control of dryer designed for drying food products. A dynamic model of the drying process has been developed, experimental measurements presented in this paper are established for different values of drying air temperature and drying air velocity. Two scenario of sliding mode control applied to the hybrid tunnel dryer has been assessed through simulations. At first, a nonlinear sliding mode control with first order sliding surface was tested. In front of the insufficient performance of this control in terms of the presence of chattering phenomenon and static error, it was decided to apply a nonlinear sliding mode control with PI sliding surface. Simulation results show that this latter control approach can obtain excellent control performance with no chattering problem, reducing of static error and a good tracking of trajectory.

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An ensemble active learning for a fluidized bed granulation in the pharmaceutical industry

Chen

Tang

Gao

et al. 2022

Journal of Process Control

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Proportional control of moisture content of granules by adjusting inlet air temperature in fluidized bed granulation using near-infrared spectroscopy

Cited by 8 publications

References 12 publications

A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control

A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control

Dynamic Modelling and Performance Optimization-Based Sliding Mode Control of Process Drying in a Convective Tunnel Dryer

An ensemble active learning for a fluidized bed granulation in the pharmaceutical industry

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