Scaling of heat transfer and temperature distribution in granular flows in rotating drums

B. Yohannes, Heather Emady, K. Anderson, I. Paredes, M. Javed, W. Borghard, F. J. Muzzio, B. J. Glasser, A. M. Cuitiño

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Accurate prediction of the time required to heat up granular materials to a target temperature is crucial for several processes. However, we do not have quantitative models to predict the average temperature or the temperature distribution of the particles. Here, we computationally investigate the scaling of heat transfer in granular flows in rotating drums. Based on our simulations, which include a wide range of system and material properties, we identify the appropriate characteristic time that is used to derive equations that predict the particles' average temperature and the particles' temperature distribution.

Original languageEnglish (US)
Article number042902
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume94
Issue number4
DOIs
StatePublished - Oct 14 2016

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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    Yohannes, B., Emady, H., Anderson, K., Paredes, I., Javed, M., Borghard, W., Muzzio, F. J., Glasser, B. J., & Cuitiño, A. M. (2016). Scaling of heat transfer and temperature distribution in granular flows in rotating drums. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 94(4), [042902]. https://doi.org/10.1103/PhysRevE.94.042902