TY - JOUR
T1 - Formulation of a non-linear framework for population balance modeling of batch grinding
T2 - Advances in Population Balance Modelling
AU - Bilgili, Ecevit
AU - Yepes, Juan
AU - Scarlett, Brian
N1 - Funding Information:
The authors would like to acknowledge the financial support of the Particle Engineering Research Center (PERC) at the University of Florida, the National Science Foundation (NSF) Grant #EEC-94-0289, and the Industrial Partners of the PERC. This study has been performed as part of a more comprehensive research project entitled “Nano-Milling of Materials”. We are grateful to Dr. Dennis E. Smith in the Polymer Products Unit at Eastman Kodak Company for valuable discussions and comments. The third author, Professor Brian Scarlett, passed away during the refereeing stage of this paper. The first author (E.B.) salutes all his contributions and achievements within the broadly defined area of Particle Technology and feels very grateful and fortunate to have worked with him as a post-doc in the last three years.
PY - 2006/1
Y1 - 2006/1
N2 - Population balance models (PBMs) for batch grinding are based on the concepts of specific breakage rate and breakage distribution. In the traditional PBMs, the breakage rate is assumed first-order, thus neglecting the effects of the temporally evolving material properties and multi-particle interactions. As an attempt to explain some of the above effects, a time-dependent specific breakage rate was introduced in the literature. The time-variant PBMs are inadequate to explain the multi-particle interactions explicitly and thoroughly. In this paper, we formulate a non-linear population balance framework to explain the non-first-order breakage rates that originate from multi-particle interactions. Based on this framework, four size-discrete non-linear models with varying complexity have been derived. A simple non-linear model with non-uniform kinetics assumption, Model B, was used to simulate the slowing-down phenomenon commonly observed in dry grinding processes. Not only does the model explain the effects of the fines accumulation on the specific breakage rate of the coarse, but also it is capable of predicting the significant influence of the initial population density. Identification of the proposed models, i.e., the solution of the inverse problem is also discussed.
AB - Population balance models (PBMs) for batch grinding are based on the concepts of specific breakage rate and breakage distribution. In the traditional PBMs, the breakage rate is assumed first-order, thus neglecting the effects of the temporally evolving material properties and multi-particle interactions. As an attempt to explain some of the above effects, a time-dependent specific breakage rate was introduced in the literature. The time-variant PBMs are inadequate to explain the multi-particle interactions explicitly and thoroughly. In this paper, we formulate a non-linear population balance framework to explain the non-first-order breakage rates that originate from multi-particle interactions. Based on this framework, four size-discrete non-linear models with varying complexity have been derived. A simple non-linear model with non-uniform kinetics assumption, Model B, was used to simulate the slowing-down phenomenon commonly observed in dry grinding processes. Not only does the model explain the effects of the fines accumulation on the specific breakage rate of the coarse, but also it is capable of predicting the significant influence of the initial population density. Identification of the proposed models, i.e., the solution of the inverse problem is also discussed.
KW - Functional
KW - Grinding
KW - Modeling
KW - Multi-particle interactions
KW - Non-linear dynamics
KW - Population balance
KW - Selection and breakage functions
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U2 - 10.1016/j.ces.2004.11.060
DO - 10.1016/j.ces.2004.11.060
M3 - Conference article
AN - SCOPUS:25644433569
SN - 0009-2509
VL - 61
SP - 33
EP - 44
JO - Chemical Engineering Science
JF - Chemical Engineering Science
IS - 1
Y2 - 5 May 2004 through 7 May 2004
ER -