Modeling of continuous self‐classifying spiral jet mills part 2: Powder‐dependent parameters from characterization experiments

Abstract

The milling model described in Part 1 has been expanded to a three-level model with the addition of powder-dependent parameter function models with simple material characterization measurements as inputs. This allows the determination of these parameters with minimal consumption of powder. Specifically, the powder-dependent parameters are related to material hardness from microindentation or to a breakage measure from single-impact milling. Three crystalline powders, sodium bicarbonate, lactose monohydrate, and sucrose, have been used to test the described material characterization techniques and expanded milling model.Grinding pressure (GP) and pusher pressure (PP) are reported in psig and feed rate (FR) is given in g/s.

Numerical Simulation of Particle Dynamics in a Spiral Jet Mill via Coupled CFD-DEM

“…Despite the prevalence of spiral jet mills in the pharmaceutical industry, modelling studies are relatively sparse. Some of these studies rely on the force and energy balance approach [ 14 , 15 , 16 ], some on the population balance approach [ 17 , 18 , 19 ], and a few on computational fluid dynamics [ 15 , 20 , 21 ].…”

Assessment of the parameter identifiability of population balance models for air jet mills

“…However, detailed simulations are not provided and estimation of the multitude of parameters in the model is not mentioned. In Starkey et al (2014a) a steady state PBM was developed for air jet mills whose parameters were then related to the material properties in Starkey et al (2014b). Recently, Rodnianski et al (2019) developed a multiscale CFD-DEM-population level model for a jet mill in which the parameters at the population scale were obtained via the CFD-DEM simulations.…”