Particle Technology and Fluidization

Periodic section modeling of convective continuous powder mixing processes

  1. Yijie Gao,
  2. Marianthi Ierapetritou,
  3. Fernando Muzzio*

Article first published online: 22 MAR 2011

DOI: 10.1002/aic.12563

Issue

AIChE Journal

AIChE Journal

Volume 58, Issue 1, pages 69–78, January 2012

Additional Information

How to Cite

Gao, Y., Ierapetritou, M. and Muzzio, F. (2012), Periodic section modeling of convective continuous powder mixing processes. AIChE J., 58: 69–78. doi: 10.1002/aic.12563

Author Information

  1. Dept. of Chemical and Biochemical Engineering, Rutgers—The State University of New Jersey, Piscataway, NJ 08854

*Dept. of Chemical and Biochemical Engineering, Rutgers—The State University of New Jersey, Piscataway, NJ 08854

Publication History

  1. Issue published online: 7 DEC 2011
  2. Article first published online: 22 MAR 2011
  3. Accepted manuscript online: 24 JAN 2011 09:41AM EST
  4. Manuscript Revised: 13 JAN 2011
  5. Manuscript Received: 12 JUL 2010

Funded by

  • National Science Foundation Engineering Research Center on Structured Organic Particulate Systems. Grant Numbers: NSF-ECC 0540855, NSF-0504497

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Keywords:

  • mixing;
  • particle technology;
  • RTD;
  • variance;
  • DEM

Abstract

This study aims to develop a general model of the convective continuous mixing process. The main idea is that continuous mixing can be considered as a combination of powder flow and mixing processes. Although powder flow is characterized by the residence time distribution (RTD), powder mixing can be described by a batch mixing process simulated in one periodic section of the continuous mixer. By characterizing the two processes separately, we can calculate the number of sections required to achieve certain homogeneity. In this study, continuous mixing is simulated using the discrete element method, and segregating and non-segregating mixing cases are tested to investigate the applicability of the model. Results show satisfactory predictions by the model, which is able to characterize the continuous mixing performance of both mixing cases. On the basis of this study, we were also able to suggest a novel method in design and control of continuous powder mixing systems. © 2011 American Institute of Chemical Engineers AIChE J , 2012

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