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Modeling and simulation of particulate processes

von Ashok Das
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Über Modeling and simulation of particulate processes

The processing of particulate materials is crucial in various branches of engineering and science. During these processes, one can observe important micro-mechanisms, such as aggregation of smaller particles to form larger aggregates and breakage (or shattering) of particles into smaller fragments. These micro-mechanisms eventually play a critical role in changing the macroscopic behavior (e.g., dissolution rate, system permeability, and flow characteristic) of the particle population. Thus, modeling and simulation of particulate processes are essential in predicting their macroscopic behavior virtually. This book is devoted to the modeling and simulation of different particulate processes consisting of aggregation and breakage mechanisms. The modeling techniques used in this thesis are population balance modeling (PBM), Monte Carlo (MC) modeling, and discrete element modeling (DEM).

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786204955209
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 216
  • Veröffentlicht:
  • 26. Mai 2022
  • Abmessungen:
  • 150x13x220 mm.
  • Gewicht:
  • 340 g.
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Beschreibung von Modeling and simulation of particulate processes

The processing of particulate materials is crucial in various branches of engineering and science. During these processes, one can observe important micro-mechanisms, such as aggregation of smaller particles to form larger aggregates and breakage (or shattering) of particles into smaller fragments. These micro-mechanisms eventually play a critical role in changing the macroscopic behavior (e.g., dissolution rate, system permeability, and flow characteristic) of the particle population. Thus, modeling and simulation of particulate processes are essential in predicting their macroscopic behavior virtually. This book is devoted to the modeling and simulation of different particulate processes consisting of aggregation and breakage mechanisms. The modeling techniques used in this thesis are population balance modeling (PBM), Monte Carlo (MC) modeling, and discrete element modeling (DEM).

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