Heat and Mass Transfer

, Volume 50, Issue 6, pp 803–811 | Cite as

Effect of drag force on backward-facing step gas-particle turbulent flows

  • Yang LiuEmail author
  • Fuwei Jiang
  • Xiangli Li
  • Guohui Li


An improved drag force coefficient of gas-particle interaction based on the traditional Wen’s 1966 model is proposed. In this model, a two-stage continuous function is used to correct the discontinuous switch when porosity less than 0.2. Using this proposed correlation and the Wen’s 1966 model, a gas-particle kinetic energy and particle temperature model is developed to predict the hydrodynamic characteristics in backward-facing step gas-particle two-phase turbulent flows. Numerically results showed that they are in good agreement with experiment measurements and presented model are better due to a improvement of momentum transport between gas and particle phases. Particle dispersions take on the distinctively anisotropic behaviors at every directions and gas phase fluctuation velocity are about twice larger than particle phases. Particle phase has a unique transportation mechanism and completely different from the gas phase due to different density. Furthermore, the correlation values of axial–axial gas-particle are always greater than the radial–radial values at fully flow regions. The gas-particle two-phase interactions will make influence on two-phase turbulent flow behaviors.


Large Eddy Simulation Particle Phase Granular Temperature Particle Kinetic Energy Phase Doppler Particle Analyzer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

List of symbols


Diffusion term


Source term


Kinetic energy


Production term







Greek symbols


Volume fraction


Kronic–Delta unit tensor


Dissipation term


Dynamic viscosity


Kinematic viscosity


Pressure-strain term







Coordinates directions

g, p

Gas and particle







We sincerely appreciate the financial support of Projects of National Natural Science Foundation of China under the Grants No. 51278076.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Marine Engineering CollegeDalian Maritime UniversityDalianChina
  2. 2.Faculty of Infrastructure EngineeringDalian University of TechnologyDalianChina
  3. 3.School of Electronic and Information EngineeringDalian Jiaotong UniversityDalianChina

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