Multi-scale modeling of granulation processes: Bi-directional coupling of PBM with DEM via collision frequencies

被引:58
作者
Barrasso, Dana [1 ]
Ramachandran, Rohit [1 ]
机构
[1] Rutgers State Univ, Dept Chem & Biochem Engn, Piscataway, NJ 08854 USA
基金
美国国家科学基金会;
关键词
Granulation; Population balance modeling; Discrete element modeling; Multi-scale model; Aggregation; Collision rate; POPULATION BALANCE MODEL; HIGH-SHEAR GRANULATION; EXPERIMENTAL VALIDATION; BICOMPONENT AGGREGATION; NUMERICAL SIMULATIONS; PARAMETER-ESTIMATION; BINDER CONTENT; BREAKAGE; NUCLEATION; DYNAMICS;
D O I
10.1016/j.cherd.2014.04.016
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Wet granulation is a complex particle design process often operated inefficiently in industrial applications. Enhanced process understanding is required to facilitate design, control, and optimization. In this study, a hybrid multi-scale model is presented using a bi-directional coupling approach between DEM and PBM. The hybrid model takes into account particle collision frequencies and liquid distribution, providing a framework suitable for the complex sub-processes in wet granulation. The effect of particle size distribution on the collision frequency function was demonstrated, indicating the need for a multi-scale model. Results of the hybrid model show an increase in particle size over time from an average diameter of 0.98 mm to 2.5 mm, which qualitatively agrees with experimental trends observed during the liquid addition and wet massing stages. Two-dimensional distributions in particle size and liquid fraction are also presented incorporating the key effect of liquid distribution on the evolution of granule PSD. (C) 2014 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:304 / 317
页数:14
相关论文
共 67 条
[1]  
Barrasso D., 2014, 7 WORLD C PART TECHN
[2]   Population Balance Model Validation and Predictionof CQAs for Continuous Milling Processes: toward QbDin Pharmaceutical Drug Product Manufacturing [J].
Barrasso, Dana ;
Oka, Sarang ;
Muliadi, Ariel ;
Litster, James D. ;
Wassgren, Carl ;
Ramachandran, Rohit .
JOURNAL OF PHARMACEUTICAL INNOVATION, 2013, 8 (03) :147-162
[3]   Multi-component population balance modeling of continuous granulation processes: A parametric study and comparison with experimental trends [J].
Barrasso, Dana ;
Walia, Samjit ;
Ramachandran, Rohit .
POWDER TECHNOLOGY, 2013, 241 :85-97
[4]   A comparison of model order reduction techniques for a four-dimensional population balance model describing multi-component wet granulation processes [J].
Barrasso, Dana ;
Ramachandran, Rohit .
CHEMICAL ENGINEERING SCIENCE, 2012, 80 :380-392
[5]   Validation of fluid bed granulation utilizing artificial neural network [J].
Behzadi, SS ;
Klocker, J ;
Hüttlin, H ;
Wolschann, P ;
Viernstein, H .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2005, 291 (1-2) :139-148
[6]   Coupling granule properties and granulation rates in high-shear granulation [J].
Biggs, CA ;
Sanders, C ;
Scott, AC ;
Willemse, AW ;
Hoffman, AC ;
Instone, T ;
Salman, AD ;
Hounslow, MJ .
POWDER TECHNOLOGY, 2003, 130 (1-3) :162-168
[7]   Population balance modeling of non-linear effects in milling processes [J].
Bilgili, E ;
Scarlett, B .
POWDER TECHNOLOGY, 2005, 153 (01) :59-71
[8]   Derivation of parameters for a two compartment population balance model of Wurster fluidised bed granulation [J].
Boerner, Matthias ;
Peglow, Mirko ;
Tsotsas, Evangelos .
POWDER TECHNOLOGY, 2013, 238 :122-131
[9]   Reduced-order discrete element method modeling [J].
Boukouvala, Fani ;
Gao, Yijie ;
Muzzio, Fernando ;
Ierapetritou, Marianthi G. .
CHEMICAL ENGINEERING SCIENCE, 2013, 95 :12-26
[10]   Parameter estimation in a multidimensional granulation model [J].
Braumann, Andreas ;
Kraft, Markus ;
Mort, Paul R. .
POWDER TECHNOLOGY, 2010, 197 (03) :196-210