TY - JOUR
T1 - Markov chain modelling of fluidised bed granulation
AU - Catak, Muammer
AU - Baş, Nurşin
AU - Cronin, Kevin
AU - Tellez-Medina, Dario
AU - Byrne, Edmond P.
AU - Fitzpatrick, John J.
N1 - Funding Information:
This publication has emanated from research conducted with the financial support of Science Foundation Ireland. Authors N. Bas, E. Byrne and J.J. Fitzpatrick would like to acknowledge the National Development Plan, through the Food Institutional Research Measure, administered by the Department of Agriculture, Fisheries and Food, Ireland for providing funding for this work.
PY - 2010/11/1
Y1 - 2010/11/1
N2 - Fluidised bed granulation (FBG) is a particle size enlargement technique which is widely employed in industry. Modelling of FBG is important in order to understand, control and optimise the process. In literature, population balance modelling (PBM) which is based on population balance equations (PBEs) is a common tool to model the processing of these particulate systems. However, the solution of PBEs is not straightforward except for relatively simple cases. In this paper, Markov chain simulation is introduced in order to model and analyse the particle size enlargement process in fluidised bed granulation where aggregation and breakage occur simultaneously. For the study, the size enlargement process of granules based on glass beads is examined. 10. g PEG (poly ethylene glycol) with 60% concentration is used as the binder for a 200. g batch. The results show that Markov chains are an efficient tool to model the granulation process. Particle size enlargement and the shape of particle size distributions during the granulation process have been estimated within acceptable errors.
AB - Fluidised bed granulation (FBG) is a particle size enlargement technique which is widely employed in industry. Modelling of FBG is important in order to understand, control and optimise the process. In literature, population balance modelling (PBM) which is based on population balance equations (PBEs) is a common tool to model the processing of these particulate systems. However, the solution of PBEs is not straightforward except for relatively simple cases. In this paper, Markov chain simulation is introduced in order to model and analyse the particle size enlargement process in fluidised bed granulation where aggregation and breakage occur simultaneously. For the study, the size enlargement process of granules based on glass beads is examined. 10. g PEG (poly ethylene glycol) with 60% concentration is used as the binder for a 200. g batch. The results show that Markov chains are an efficient tool to model the granulation process. Particle size enlargement and the shape of particle size distributions during the granulation process have been estimated within acceptable errors.
KW - Aggregation
KW - Breakage
KW - Granulation
KW - Markov chains
KW - Population balance modelling
UR - http://www.scopus.com/inward/record.url?scp=77956071319&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2010.02.022
DO - 10.1016/j.cej.2010.02.022
M3 - Artículo
SN - 1385-8947
VL - 164
SP - 403
EP - 409
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
IS - 2-3
ER -