gPROMS FormulatedProducts’ crystallization modelling capabilities enable efficient and effective design, operation and optimization of crystallization processes.

Sophisticated population balance models with nucleation, growth, agglomeration and attrition kernels, plus links to CFD, help speed up design, scale-up and tech transfer, and reduce operational risks.

Enabling digitial design & control of crystallization processes:

Well mixed crystallizer
Mixed suspension mixed product removal (MSMPR) crystallizerTypical model applications

  • Batch & continuous operation
  • PSD evolution during crystallization process
    (1 Dimensional)
  • Kinetics characterization
  • Scale-up/tech transfer
  • Cooling, flash cooling, evaporation, anti-solvent addition and reaction crystallization.
Mechanisms

  • Primary nucleation
  • Secondary nucelation
  • Growth & dissolution
  • Agglomeration
  • Liquid phase reactions

Benefits

  • Increased process understanding
  • Reduced experimentation
  • Enable in-silico assessment of continuous operation
  • Enable more efficient scale-up and technical transfer
  • Reduce operational risks
Plug flow crystallizer
Plug flow crystallizer with dispersionTypical model applications

  • Continuous operation
  • Convective and dispersive material transport

Morphological crystallizer

Mixed suspension mixed product removal (MSMPR) morphological crystallizer that describes crystallizing systems where the morphology of the crystals, specifically cuboid-shaped crystals which cannot be accurately captured using a one-dimensional framework.

Typical applications

  • Size & shape evolution during crystallization
  • Morphological population balance with first and higher order resolution options

Mechanisms

  • Primary nucleation
  • Secondary nucelation
  • Growth & dissolution kinetics
    (both major & minor axes)
Benefits

  • Enable control of particle shape
  • Increased process understanding
  • Reduced experimentation
  • Enable more efficient scale-up & technical transfer
  • Reduce operational risks