4.5 Article

Sandgrain roughness model for rough walls within Eulerian-Lagrangian predictions of turbulent flows

期刊

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
卷 43, 期 -, 页码 157-175

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijmultiphaseflow.2012.03.002

关键词

Dispersed two-phase flow; Eulerian-Lagrangian approach; Wall roughness; Sandgrain roughness model; Shadow effect

资金

  1. national supercomputer NEC SX-9 at the High Performance Computing Center Stuttgart [PARTICLE / pfs 12855]
  2. High Performance Computing Center Stuttgart [PARTICLE / pfs 12855]

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Wall roughness is known to have a significant influence on particle-laden wall-bounded flows directly affecting the particulate and the continuous phase. For sufficiently high mass loading the fluid flow is also indirectly altered by the particles subjected to collisions with rough walls. The paper is concerned with the question how the effect of rough walls on the particulate phase can be modeled taking a minimum of measured or empirically determined physical quantities into account. Following Nikuradse's idea, a sandgrain roughness model is proposed for the dispersed phase in which the wall is covered by a densely packed layer of sand grains idealized by mono-disperse spheres. Based on geometric considerations relying on generally used roughness parameters such as R-z or R-q the local inclination of the wall is determined in order to predict the inelastic collision of the particles with the wall including friction. The sandgrain model also takes the shadow effect into account leading to asymmetric probability density functions of the wall inclination angles, where the mean normal vector is turned towards the incoming particle trajectory. The wall model applicable in 3-D is evaluated in the context of four-way coupled large-eddy simulations for turbulent plane channel flow but is also applicable in direct numerical simulations or Reynolds-averaged Navier-Stokes predictions. A variety of test scenarios were considered including varying wall roughness values, several mass loadings and different particle sizes. (C) 2012 Elsevier Ltd. All rights reserved.

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