A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM-DEM coupling algorithm

被引：66

作者：

Barrasso, Dana ^{[1
]}

Eppinger, Thomas ^{[2
]}

Pereira, Frances E. ^{[3
]}

Aglave, Ravindra ^{[4
]}

Debus, Kristian ^{[5
]}

Bermingham, Sean K. ^{[3
]}

Ramachandran, Rohit ^{[1
]}

机构：

[1] Rutgers State Univ, Dept Chem & Biochem Engn, Piscataway, NJ 08854 USA

[2] CD Adapco, D-90411 Nurnberg, Germany

[3] Proc Syst Enterprise Ltd, London W6 7HA, England

[4] CD Adapco, Houston, TX 77042 USA

[5] CD Adapco, California Off, TX USA

来源：

CHEMICAL ENGINEERING SCIENCE | 2015年 / 123卷

基金：

美国国家科学基金会;

关键词：

Wet granulation; Population balance modeling; Discrete element methods; Multi-scale modeling; Quality-by-Design; POPULATION BALANCE MODEL; FORMULATION PARAMETERS; BEHAVIOR; GROWTH; SIMULATIONS; COEFFICIENT; COALESCENCE; RESTITUTION; NUCLEATION; BREAKAGE;

D O I：

10.1016/j.ces.2014.11.011

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this study, a novel mechanistic model for a wet granulation process is presented, combining the techniques of population balance modeling and discrete element methods to predict critical quality attributes of the granule product, such as porosity and size distribution. When applied to a twin screw granulation process, the model shows sensitivities to the screw element type and geometry, as well as material properties (binder viscosity, pore saturation) and process parameters (screw speed, liquid-to-solid ratio). Predicted trends are consistent with experimental observations in the literature. Using this modeling framework, a model-based approach can be used to implement Quality by Design, establishing a design space to transition towards a quantitative mechanistic understanding of wet granulation processes. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：500 / 513

页数：14