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  4. Application of transformation matrices to the solution of population balance equations
 
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Application of transformation matrices to the solution of population balance equations

Citation Link: https://doi.org/10.15480/882.2386
Publikationstyp
Journal Article
Date Issued
2019-08-14
Sprache
English
Author(s)
Skorych, Vasyl  
Das, Nilima  
Dosta, Maksym  
Kumar, Jitendra  
Heinrich, Stefan  
Institut
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Mehrskalensimulation von Feststoffsystemen V-EXK1  
TORE-DOI
10.15480/882.2386
TORE-URI
http://hdl.handle.net/11420/3200
Journal
Processes  
Volume
7
Issue
8
Article Number
535
Citation
Processes 7 (8): 535 (2019)
Publisher DOI
10.3390/pr7080535
Scopus ID
2-s2.0-85077401060
Publisher
Multidisciplinary Digital Publishing Institute
The development of algorithms and methods for modelling flowsheets in the field of granular materials has a number of challenges. The difficulties are mainly related to the inhomogeneity of solid materials, requiring a description of granular materials using distributed parameters. To overcome some of these problems, an approach with transformation matrices can be used. This allows one to quantitatively describe the material transitions between different classes in a multidimensional distributed set of parameters, making it possible to properly handle dependent distributions. This contribution proposes a new method for formulating transformation matrices using population balance equations (PBE) for agglomeration and milling processes. The finite volume method for spatial discretization and the second-order Runge–Kutta method were used to obtain the complete discretized form of the PBE and to calculate the transformation matrices. The proposed method was implemented in the flowsheet modelling framework Dyssol to demonstrate and prove its applicability. Hence, it was revealed that this new approach allows the modelling of complex processes involving materials described by several interconnected distributed parameters, correctly taking into consideration their interdependency.
Subjects
population balance equation
dynamic flowsheet simulation
transformation matrix
process modelling
agglomeration
milling
solids
multidimensional distributed parameters
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Open Access Publizieren 2018 - 2019 / TU Hamburg  
SPP 1679: Dynamische Simulation vernetzter Feststoffprozesse  
Physics Embedded Approximations of Aggregation and Breakage Kernels for Population Balances  
More Funding Information
Deutsche Forschungsgemeinschaft (DFG)
German Academic Exchange Service (DAAD)
Lizenz
https://creativecommons.org/licenses/by/4.0/
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