Modelling of urea aggregation efficiency via particle tracking velocimetry in fluidized bed granulation

Zhalehrajabi, Ehsan; Lau, Kok Keong; KuShaari, KuZilati; Tay, Wee Horng; Hagemeier, Thomas; Idris, Ahmad Kamal

doi:10.1016/j.ces.2020.115737

Cited by 12 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most typical and common PTMP via wet granulation involves several successive units, 37 as is shown in Figure 1 . Among the various types of wet granulation, SFBG is superior to others due to its inherent advantages of integrating blending, granulation and drying for granules in a single unit, which helps to improve material flows and densification, strengthen dust containment, and facilitate to achieve homogenous mixtures, 36 and thus SFBG is widely used in the pharmaceutical industry. For more details about the process description please refer to ref ( 37 ).…”

Section: Problem Description and Preliminariesmentioning

confidence: 99%

Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation

et al. 2023

View full text Add to dashboard Cite

In the context of Pharma 4.0, pharmaceutical quality control (PQC) is beset by issues such as uncertainties from ever-changing critical material attributes and strong coupling between variables in the multi-unit pharmaceutical tablet manufacturing process (PTMP), and how to timely adjust the operational variables to deal with such challenges has become a key problem in PQC. In this study, we propose a novel data-knowledge-driven modeling and operational adjustment framework for PTMP by integrating Bayesian network (BN) and case-based reasoning (CBR). At the modeling level, first, a distributed concept is introduced, i.e., the BN model for each subunit of PTMP is established in accordance with the operation process sequence, and the transition variables are given by the BN model established first and retrieved as the new query for the next unit. Once the BN models of all subunits are built, they are integrated into a global BN model. At the operational adjustment level, by taking the expected critical quality attributes (CQAs) and related prior information as evidence, the operational adjustment is achieved through global BN reasoning. Finally, the case study in a sprayed fluidized-bed granulation-based PTMP demonstrates the feasibility and effectiveness in improving the terminal CQAs of the proposed method, which is also compared with other methods to showcase its efficacy and merits.

show abstract

Section: Problem Description and Preliminariesmentioning

confidence: 99%

Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation

et al. 2023

View full text Add to dashboard Cite

show abstract

“…[31][32][33][34] In other words, RSM is an optimization technique that uses mathematical and statistical methods to design, improve, and optimize complex processes. [34,35] In essence, optimization via RSM considers multivariate designs in order to evaluate the interaction between input and output variables, with the objective function of identifying the optimal conditions. RSM can be used to investigate the interaction between an input and output variable in order to determine optimal responses.…”

Section: Introductionmentioning

confidence: 99%

Process Optimization for Syngas Production from the Dry Reforming of Methane over 5Ni+3Sr/10Zr+Al Catalyst Using Multiple Response Surface Methodology

Al‐Fatesh,

El‐Salamony,

Roushdy

et al. 2023

Adv Materials Inter

View full text Add to dashboard Cite

Abstract5Ni+3Sr/10Zr+Al catalyst is synthesized using the impregnation method, characterized, and tested for dry reforming of methane. The influence of reaction temperature, feed ratio (CO2/CH4), and gas hour space velocity are examined using multiple response surface methodology through three factors in, a four‐level central composite design. Second and higher‐order regression models are applied to evaluate the interaction between the process parameters and responses. The results indicate that the reaction temperature is the most influential followed by the space velocity, while the feed ratio has a weak effect. The optimum values that maximize each of the response variables are found to be the reaction temperature at 746 °C, the space velocity of 12 000 ccg−1h−1, and the feed ratio of 0.958. Under these conditions, the predicted CH4 and CO2 conversions are 86.83% and 92.27%, respectively. While the H2/CO ratio is 1.02. On the other hand, the experimental results match the predicted ones when the optimum predicted operating conditions are used for the process. A weight loss of <16% is obtained on the spent catalyst after 86 h on stream. This is attributed to the highly basic and oxidative nature of the ZrO2 co‐supported catalyst and indicates the suitability of the developed catalyst.

show abstract

“…Population balance models have been applied in the past decades to a number of industrialscale applications involving aerosols and flame synthesis of materials [14,60,113,122,159], crystallization [9,22,27,32,86,98,108], polymerization/depolymerization [2, 41-43, 57, 58, 63, 144, 158], emulsions [21,47,151,152], twin-screw granulation [10,11,15,50,51,65,121,123,155] and sprayed fluidized bed granulation [6,53,54,84,85,106,149,161,166]. What these problems share in common is that the central unknown is the distribution of a distributed property, usually 'size'.…”

Section: Introductionmentioning

confidence: 99%

Challenges and opportunities concerning numerical solutions for population balances: a critical review

Singh

Ranade²,

Shardt³

et al. 2022

J. Phys. A: Math. Theor.

View full text Add to dashboard Cite

Population balance models are tools for the study of dispersed systems, such as granular materials, polymers, colloids and aerosols. They are applied with increasing frequency across a wide range of disciplines, including chemical engineering, aerosol physics, astrophysics, polymer science, pharmaceutical sciences, and mathematical biology. Population balance models are used to track particle properties and their changes due to aggregation, fragmentation, nucleation and growth, processes that directly affect the distribution of particle sizes. The population balance equation is an integro-partial differential equation whose domain is the line of positive real numbers. This poses challenges for the stability and accuracy of the numerical methods used to solve for size distribution function and in response to these challenges several different methodologies have been developed in the literature. This review provides a critical presentation of the state of the art in numerical approaches for solving these complex models with emphasis in the algorithmic details that distinguish each methodology. The review covers finite volume methods, Monte Carlo method and sectional methods; the method of moments, another important numerical methodology, is not covered in this review.

show abstract

Modelling of urea aggregation efficiency via particle tracking velocimetry in fluidized bed granulation

Cited by 12 publications

References 45 publications

Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation

Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation

Process Optimization for Syngas Production from the Dry Reforming of Methane over 5Ni+3Sr/10Zr+Al Catalyst Using Multiple Response Surface Methodology

Challenges and opportunities concerning numerical solutions for population balances: a critical review

Contact Info

Product

Resources

About