Modeling of continuous self-classifying spiral jet mills part 1: Model structure and validation using mill experiments

Derek Starkey, Cathy Taylor, Nathan Morgan, Katie Winston, Spyros Svoronos, John Mecholsky, Kevin Powers, Ron Iacocca

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The objective of this work is to develop a milling model for a continuous self-classifying spiral air jet mill. Its foundation is a population balance model with selection and breakage distribution functions that have been related to a minimal number of mill-dependent and powder-dependent parameters. Initially, experimentation is required to determine the mill-dependent parameters for a specific mill, by milling a "base" powder at multiple operating conditions. Powder-dependent parameters can be determined from either mill experiments or from material characterization measurements that require small amounts of powder (presented in Part 2). Ultimately, the milling model presented successfully predicts the product particle size using as inputs the feed particle-size distribution and mill operating conditions. Three crystalline powders, sodium bicarbonate, lactose monohydrate, and sucrose, have been used to test the proposed milling model.

Original languageEnglish (US)
Pages (from-to)4086-4095
Number of pages10
JournalAIChE Journal
Volume60
Issue number12
DOIs
StatePublished - Dec 1 2014

Keywords

  • Air jet milling
  • Breakage function
  • Particle technology
  • Population balance model

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