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[00408] Reducing Complexity of a Population Balance Model for Synthesis of Composite Polymer Particles

  • Session Time & Room : 1D (Aug.21, 15:30-17:10) @F311
  • Type : Contributed Talk
  • Abstract : An accurate prediction of the formation of polymer particles is vital for synthesis of high quality materials, but still not feasible due to its complexity. We present a Population Balance Equations model as a tool targeting the task. Aimed to enhance model performance, we derive a quantitative criterion for locating regions of “slow” aggregation among particles. Within such a regime, the aggregation terms can be neglected and computational efficiency improves by several orders of magnitude.
  • Classification : 45Kxx, 70-10, 92Exx
  • Format : Talk at Waseda University
  • Author(s) :
    • Simone Rusconi (CUNEF Universidad)
    • Christina Schenk (IMDEA Materials Institute)
    • Arghir Zarnescu (Basque Center for Applied Mathematics)
    • Elena Akhmatskaya (Basque Center for Applied Mathematics)