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A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation

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Title: A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation
Description: Fluidized bed spray granulation is a process that facilities particle size enlargement by injecting solids in the form of a suspension, solution or melt. The produced particles are often of high value due to their highly specific, functionalized nature. This work provides a method for utilizing particle-scale simulations method like the coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) to predict the properties of particles produced in scaled-up apparatuses based on laboratory-scale experiments by correlating the conditions that particle experience to the properties they develop. Furthermore, a method for calibrating DEM models of weakly wetted particle systems by utilizing a novel, probabilistic liquid bridge state model is proposed.
Authors: Kieckhefen, Paul
Resource Type: eBook.
Subjects: Computational fluid dynamics--Mathematical models, Computational fluid dynamics
Categories: TECHNOLOGY & ENGINEERING / Chemical & Biochemical, SCIENCE / Chemistry / Industrial & Technical
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3135782
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Fluidized bed spray granulation is a process that facilities particle size enlargement by injecting solids in the form of a suspension, solution or melt. The produced particles are often of high value due to their highly specific, functionalized nature. This work provides a method for utilizing particle-scale simulations method like the coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) to predict the properties of particles produced in scaled-up apparatuses based on laboratory-scale experiments by correlating the conditions that particle experience to the properties they develop. Furthermore, a method for calibrating DEM models of weakly wetted particle systems by utilizing a novel, probabilistic liquid bridge state model is proposed.
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  Data: <searchLink fieldCode="DE" term="%22Computational+fluid+dynamics--Mathematical+models%22">Computational fluid dynamics--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 660.28429
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computational fluid dynamics--Mathematical models
        Type: general
      – SubjectFull: Computational fluid dynamics
        Type: general
    Titles:
      – TitleFull: A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kieckhefen, Paul
      – PersonEntity:
          Name:
            NameFull: Kieckhefen, Paul
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 17
              M: 10
              Type: profile
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9783736975569
            – Type: isbn-electronic
              Value: 9783736965560
          Numbering:
            – Type: volume
              Value: 00019
          Titles:
            – TitleFull: A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation
              Type: main
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