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A Simple Two-Phase Frictional Multiplier Calculation Method

[+] Author Affiliations
M. M. Awad, Y. S. Muzychka

Memorial University of Newfoundland, St. John’s, NL, Canada

Paper No. IPC2004-0721, pp. 475-483; 9 pages
  • 2004 International Pipeline Conference
  • 2004 International Pipeline Conference, Volumes 1, 2, and 3
  • Calgary, Alberta, Canada, October 4–8, 2004
  • Conference Sponsors: International Petroleum Technology Institute
  • ISBN: 0-7918-4176-6 | eISBN: 0-7918-3737-8
  • Copyright © 2004 by ASME


In this paper, a simple method for calculating two-phase frictional multiplier for total flow assumed liquid in the pipe φlo 2 is presented. The homogeneous model is used to calculate the fluid properties (density and viscosity). The Churchill model is used to define the Fanning friction factor to take into account the effect of the mass flux on φlo 2 . Effect of stream pressure on φlo 2 is also investigated. It is found that φlo 2 decreases with increasing the stream pressure at a given mass quality and reaches 1 at the critical pressure. On the other hand, it is found that φlo 2 increases with increasing the mass flux at a given mass quality. Comparison with other existing correlations for calculating φlo 2 such as the Wallis correlation based on the homogeneous model without mass effect on φlo 2 , the Martinelli-Nelson correlation, the Chisholm correlation, and the Friedel correlation is presented. When the mass flux value becomes low, the effect of mass flux on φlo 2 becomes small and present correlation approaches the Wallis correlation. Both the present correlation and the Wallis correlation approach the maximum two-phase frictional multiplier in a smooth consistent manner while the other correlations show a peaking effect at high mass qualities. The Friedel correlation shows better agreement with the present correlation than both the Martinelli-Nelson correlation and the Chisholm correlation. Comparison with results from other experimental test facilities for calculating φlo 2 is also presented. Comparison with other experimental data shows better agreement with the present correlation than the Martinelli-Nelson correlation.

Copyright © 2004 by ASME



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