Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions

Ola Suleiman Ahmad (1, 2, 3, 4) , Nesrine Gherras (1, 5, 6) , Johan Debayle (1, 2, 3, 4) , Benoît Presles (1, 5, 6) , Gilles Févotte (1, 5, 6) , Jean-Charles Pinoli (1, 2, 3, 4)

1 LPMG-EMSE - Laboratoire des Procédés en Milieux Granulaires
2 CIS-ENSMSE - Centre Ingénierie et Santé
3 DIM-ENSMSE - Département Imagerie et Morphologie
4 IFRESIS - Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé
5 SPIN-ENSMSE - Centre Sciences des Processus Industriels et Naturels
6 GENERIC-ENSMSE - Département Géochimie, environnement, écoulement, réacteurs industriels et cristallisation

This paper presents a method to recognize polygonal-shaped particles (i.e. rectangles, regular/irregular prisms) among agglomerated crystals from in-situ images during a crystallization process. The aim is to measure the particle size distributions (PSD); a key measurement needed for monitoring and controlling industrial crystallization operations . The method is first based on detecting the geometric features of the particles identified by their salient corners. A clustering technique is then applied by grouping three correspondent salient corners belonging to the same polygon. The efficiency of the method is tested on particles of Ammonium Oxalate (AO) monitored during batch crystallization in pure water. Particle size distributions are calculated, and a quantitative comparison between automatic and manual sizing is performed.

Mots clés: Process analytical technologies; process control tools

Domaines: Génie des procédés

Ola Suleiman Ahmad, Nesrine Gherras, Johan Debayle, Benoît Presles, Gilles Févotte, et al.. Recognizing overlapped particles during a crystallization process from in situ video images for measuring their size distributions. ISIC 18 18th International Symposium on Industrial Crystallization, Sep 2011, Zurich, Switzerland. pp.190. ⟨hal-00656653⟩