Table of Contents
Physical Separation in Science and Engineering
Volume 13, Issue 2, Pages 41-51

Relationship Between Fractional Separation Curves and Quantitative Optimization Criteria in the Separation of Pourable Materials

1Negev Academic College of Engineering, Beer-Sheva, Israel
2The Institutes for Applied Research, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 84105, Israel

Received 6 January 2004; Revised 24 February 2004

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


For more than 60 years, the accepted wisdom has been that the methods of optimizing separation processes based on quantitative criteria are fundamentally different from those based on separation curves. The present article demonstrates a functional relation between these two approaches. Reposing upon this relation, we propose a new method for the optimization of separation processes, which combines the advantages of both approaches, namely the availability of a quantitative evaluation and invariance of the evaluation with respect to the grain-size distribution of the starting material.