179
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

NUMERICAL STUDY OF CLASSIFICATION OF ULTRAFINE PARTICLES IN A GAS-SOLID FIELD OF ELBOW-JET CLASSIFIER

Pages 1016-1032 | Published online: 03 Feb 2010
 

Abstract

Computational fluid dynamics (CFD) is applied to develop a novel submicron air classifier. Based on various sizes and positions of the inner structure of the elbow-jet classifier, its two-dimensional airflow field has been simulated by the Fluent software. For this typical cross-flow field, the standard k − ϵ turbulence model is applied. The Coanda effect plays a paramount role in separating ultrafine particles in the high-speed flow field of the elbow-jet classifier. The factors that influence the performance of the Coanda block, i.e., a quarter-cylinder centered in the classifier, are analyzed and discussed. The trajectories of moving particles with different diameters in the channels and chamber of the classifier have been calculated through the velocity field obtained from the CFD simulation. The cut sizes of three products from three outlets of the classifier are obtained based on the calculations of the trajectories of particles and are compared with corresponding experimental results. The ground and classified experiments have been studied simultaneously where the product outlet of a vortex jet mill is used as the feed in an elbow-jet classifier. The combination of the vortex jet mill with the external classifier provides an alternative to grinding equipment for multiple-size products of fine/medium/coarse powder. A centrifugal channel is added between the vortex jet mill and elbow-jet classifier to improve the performance of the air classifier. Both numerical and experimental results show that the pre-distributed feed particles at the exit of the centrifugal channel have a considerable effect on the separation of fine powder and a lesser effect on the separation of coarse powder.

Acknowledgment

The author would like to thank Dr. G. P. Peterson of Rensselaer Polytechnic Institute for valuable suggestions.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,086.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.