Predictive coalescence modeling of particles from different polymers: application to PVDF and PMMA pair

Sara Aid (1) , Anissa Eddhahak (1) , Zaida Ortega (2) , Daniel Froelich (3) , Abbas Tcharkhtchi (1)

1 PIMM - Laboratoire Procédés et Ingénierie en Mécanique et Matériaux
2 ULPGC - Université de Las Palmas de Gran Canaria [Espagne]
3 LCPI - Laboratoire Conception de Produits et Innovation

This paper aims to study the coalescence phenomenon of two different polymers PVDF and PMMA. The paper is divided in two parts: the first part is devoted to the experimental work, and the second one focuses on the modeling of the coalescence phenomenon. The first step was a physicochemical and rheological characterization. Then, the coalescence tests have been performed on droplets derived from PVDF and PMMA polymers using a polarized light optical microscope combined with a hot stage. The effect of several significant parameters like temperature and particle size was investigated. The second part of this study is focused on the modeling of the coalescence phenomenon based on the well-known Bellehumeur model. The latter has been commonly used to describe the coalescence phenomenon between identical grains. The novelty of the present work consists in the extension of the coalescence model to wider describe the coalescence phenomenon between grains of different polymers. In addition, probabilistic analysis was performed in order to investigate the effect of the parameters governing the coalescence model, namely the viscosity, the surface tension and the relaxation time. The results have shown a good compromise between the experimental results and the predictive generalized Bellehumeur model.

Domaines: Matériaux; Mécanique [physics.med-ph]

Sara Aid, Anissa Eddhahak, Zaida Ortega, Daniel Froelich, Abbas Tcharkhtchi. Predictive coalescence modeling of particles from different polymers: application to PVDF and PMMA pair. Journal of Materials Science, 2017, 52 (19), pp.11725-11736. ⟨10.1007/s10853-017-1302-4⟩. ⟨hal-01652666⟩