Process Simulation of Twin-Screw Granulation: A Review

被引:5
作者
Arthur, Tony Bediako [1 ]
Rahmanian, Nejat [1 ]
机构
[1] Univ Bradford, Fac Engn & Digital Technol, Chem Engn, Bradford BD7 1DP, England
基金
英国科研创新办公室;
关键词
twin-screw granulation; simulation; discrete element method; population balance model; computational fluid dynamics; CONTINUOUS WET GRANULATION; HIGH-SHEAR MIXER; POPULATION BALANCE; PROCESS PARAMETERS; MODEL DEVELOPMENT; DEM; VALIDATION; ELEMENTS; DESIGN; FLOW;
D O I
10.3390/pharmaceutics16060706
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Twin-screw granulation has emerged as a key process in powder processing industries and in the pharmaceutical sector to produce granules with controlled properties. This comprehensive review provides an overview of the simulation techniques and approaches that have been employed in the study of twin-screw granulation processes. This review discusses the major aspects of the twin-screw granulation process which include the fundamental principles of twin-screw granulation, equipment design, process parameters, and simulation methodologies. It highlights the importance of operating conditions and formulation designs in powder flow dynamics, mixing behaviour, and particle interactions within the twin-screw granulator for enhancing product quality and process efficiency. Simulation techniques such as the population balance model (PBM), computational fluid dynamics (CFD), the discrete element method (DEM), process modelling software (PMS), and other coupled techniques are critically discussed with a focus on simulating twin-screw granulation processes. This paper examines the challenges and limitations associated with each simulation approach and provides insights into future research directions. Overall, this article serves as a valuable resource for researchers who intend to develop their understanding of twin-screw granulation and provides insights into the various techniques and approaches available for simulating the twin-screw granulation process.
引用
收藏
页数:34
相关论文
共 111 条
[1]  
Alam A., 2018, Int. J. Adv. Res, V6, P478, DOI [10.21474/IJAR01/8161, DOI 10.21474/IJAR01/8161]
[2]   Regulatory and Quality Considerations for Continuous Manufacturing May 20-21, 2014 Continuous Manufacturing Symposium [J].
Allison, Gretchen ;
Cain, Yanxi Tan ;
Cooney, Charles ;
Garcia, Tom ;
Bizjak, Tara Gooen ;
Holte, Oyvind ;
Jagota, Nirdosh ;
Komas, Bekki ;
Korakianiti, Evdokia ;
Kourti, Dora ;
Madurawe, Rapti ;
Morefield, Elaine ;
Montgomery, Frank ;
Nasr, Moheb ;
Randolph, William ;
Robert, Jean-Louis ;
Rudd, Dave ;
Zezza, Diane .
JOURNAL OF PHARMACEUTICAL SCIENCES, 2015, 104 (03) :803-812
[3]   Energy absorption during compression and impact of dry elastic-plastic spherical granules [J].
Antonyuk, Sergiy ;
Heinrich, Stefan ;
Tomas, Juergen ;
Deen, Niels G. ;
van Buijtenen, Maureen S. ;
Kuipers, J. A. M. .
GRANULAR MATTER, 2010, 12 (01) :15-47
[4]   DEM simulation of a single screw granulator: The effect of liquid binder on granule properties [J].
Arthur, Tony B. ;
Sekyi, Nana K. G. ;
Rahmanian, Nejat .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2024, 203 :233-242
[5]   Process Simulation of Twin-Screw Granulator: Effect of Screw Configuration on Size Distribution [J].
Arthur, Tony B. ;
Sekyi, Nana K. G. ;
Rahmanian, Nejat ;
Pu, Jaan .
CHEMICAL ENGINEERING & TECHNOLOGY, 2023, 46 (06) :1251-1259
[6]   Tailoring particle shape for enhancing the homogeneity of powder mixtures: Experimental study and DEM modelling [J].
Asachi, Maryam ;
Behjani, Mohammadreza Alizadeh ;
Nourafkan, Ehsan ;
Hassanpour, Ali .
PARTICUOLOGY, 2021, 54 :58-68
[7]   Continuous twin screw granulation - An advanced alternative granulation technology for use in the pharmaceutical industry [J].
Bandari, Suresh ;
Nyavanandi, Dinesh ;
Kallakunta, Venkata Raman ;
Janga, Kartik Yadav ;
Sarabu, Sandeep ;
Butreddy, Arun ;
Repka, Michael A. .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2020, 580
[8]   Computationally efficient CFD prediction of bubbly flow using physics-guided deep learning [J].
Bao, Han ;
Feng, Jinyong ;
Nam Dinh ;
Zhang, Hongbin .
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2020, 131
[9]   Multi-scale modeling of granulation processes: Bi-directional coupling of PBM with DEM via collision frequencies [J].
Barrasso, Dana ;
Ramachandran, Rohit .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2015, 93 :304-317
[10]   A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM-DEM coupling algorithm [J].
Barrasso, Dana ;
Eppinger, Thomas ;
Pereira, Frances E. ;
Aglave, Ravindra ;
Debus, Kristian ;
Bermingham, Sean K. ;
Ramachandran, Rohit .
CHEMICAL ENGINEERING SCIENCE, 2015, 123 :500-513