2019
DOI: 10.3390/pr7080535
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Application of Transformation Matrices to the Solution of Population Balance Equations

Abstract: 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 paramet… Show more

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Cited by 8 publications
(6 citation statements)
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“…It is applied to the classical Tennessee Eastman process. Skorych et al [6] study the solution of population balance equations. This type of equation occurs in the description of the distributions of sizes of granular materials, such as polymers and crystals.…”
Section: General Methodsmentioning
confidence: 99%
“…It is applied to the classical Tennessee Eastman process. Skorych et al [6] study the solution of population balance equations. This type of equation occurs in the description of the distributions of sizes of granular materials, such as polymers and crystals.…”
Section: General Methodsmentioning
confidence: 99%
“…Particles can be distributed along various property coordinates, such as size, density, moisture content, etc. Thus, to perform a correct numerical calculation of material streams described with multidimensional parameters the special approaches like transformation matrices should be applied [18]. For dynamic and steady-state flowsheet calculations of solids processes an open-source simulation framework Dyssol has been developed [17,19].…”
Section: U N C O R R E C T E D P R O O Fmentioning
confidence: 99%
“…are neglected or estimated only partially. From the computational point of view there already exist methods to treat such information such as multidimensional population balance models or transformation matrices [14]. The main challenge is in the derivation of mechanistic or first-principles models, where knowledge of microscale processes like a formation of nuclei, their further agglomeration, densification [15], etc.…”
Section: Why Flowsheet Simulation?mentioning
confidence: 99%
“…Such implicit calculation makes it possible to extend applicability of model significantly. In this case the models developed for strictly limited dimensions of parameters space can be used for a larger number of dimensions [14].…”
Section: Complexity Of Solidsmentioning
confidence: 99%
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