148
Views
18
CrossRef citations to date
0
Altmetric
Original Articles

Ultrafine Coal Cleaning using Selective Hydrophobic Coagulation

, &
Pages 81-97 | Received 03 Sep 2004, Accepted 05 Jan 2005, Published online: 25 Feb 2010
 

ABSTRACT

Studies have shown that ultrafine hydrophobic materials such as coal and graphite can be selectively coagulated and separated from hydrophilic impurities without using oily agglomerants, flocculants, or electrolytes. This process, which is referred to as Selective Hydrophobic Coagulation (SHC), has been used in laboratory tests to significantly reduce the ash and sulfur contents of several ultrafine, run-of-mine coal samples. The selective coagulation occurs at ζ-potentials significantly higher than those predicted by the classical DLVO theory due to the presence of an attractive interaction energy between hydrophobic particles such as coal. To account for this additional attraction, the interaction energies for the coal-mineral system have been calculated using an extended DLVO theory that incorporates the hydrophobic interaction energy in addition to the traditional dispersion and the electrostatic energies. The results of these theoretical calculations correlate well with separation response obtained using the SHC process.

Acknowledgments

The authors acknowledge the financial support of the U.S. Department of Energy (Contract No. DE-AC22–90PC90174) and technical discussions with Dr. Z. Xu of the University of Alberta.

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 440.00 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.