A fragmentation model for crystal attrition

Madras, Giridhar; McCoy, Benjamin J.

doi:10.1016/j.jcrysgro.2007.04.019

Cited by 3 publications

(1 citation statement)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many published works have proposed physical mechanisms and quantitative models for both Ψ and N as functions of physicochemical properties of the crystal and solvent, ,− supersaturation, , crystal growth rate, ,, and hydrodynamics of the liquid phase. ,,,− David et al further subdivided collision and agglomeration rates on the basis of the size of the primary particles into regimes of Brownian, laminar, or turbulence-driven forces . David et al and Ayazi et al related collision and attrition mechanisms on the basis of the size of the primary particles compared to the turbulence spectrum; , that is, different mechanisms were proposed for particle motion in the dissipative vs inertial-convective subranges.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Agglomerate Type during Scale-Up of a Batch Crystallization Using Computational Fluid Dynamics Models

Falk¹,

Marziano

Kougoulos

et al. 2011

Org. Process Res. Dev.

View full text Add to dashboard Cite

The impact of hydrodynamics on agglomeration during the crystallization of an active pharmaceutical ingredient (API) was investigated. The type of agglomerate formed was experimentally observed to correlate with agitation level at the laboratory and kilo-lab scales. It was hypothesized that differences in agglomerate type were related to differences in the collision rate of primary crystals, caused by differences in the local degree of agitation (e.g., the local values of fluid turbulence dissipation rate, ε). Spatial distributions of ε were determined from computational fluid dynamics (CFD) models at process scales ranging from laboratory (200 mL) to commercial scale (875 L). Higher values of ε were calculated for conditions shown to result in the formation of rounded, compact agglomerates, while at the lower values of ε, looser agglomerates of flakelike particles were observed. Predictions for pilot-plant-and commercial-scale crystallization operating conditions were made using local ε values as the scaling parameter.

show abstract