Population balance approach for predicting polymer particles morphology
Résumé
Polymer particles morphology can be defined as a pattern of phase-separated domains comprising a multi-phase polymer particle [1]. Properties of a polymer particle strongly depend on its morphology, and thus the control of particle morphology is a key factor for success in producing high-quality polymers materials, such as coatings, adhesives and additives [2]. Currently, an accurate prediction of particles morphology is still a challenge due to its complexity. Several modelling approaches, describing the dynamics of the morphology of a single particle, have been suggested in the last few years [3, 4, 5]. However, the single-particle approaches only provide a partial view of realistic systems, containing millions of particles. Furthermore, such models are computationally demanding even with the use of High-Performance Computers.
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RusconiDutykhZarnescuSokolovskiAkhmatskaya-PopulationBalanceApproachForPredictingPolymerParticlesMorphology-DSABNS-2020.pdf (35.33 Ko)
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