Modeling particle deposition in turbulent duct flows using Lagrangian approach

N. P. Gao, Q. B. He, Jianlei Niu, T. Zhu, J. Z. Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


This paper studied the ability and accuracy of a commonly used Reynolds-averaged Navier-Stocks (RANS) turbulence model, i.e. RNG κ-ε model combined with a Lagrangian discrete random walk (DRW) model to predict particle deposition in vertical and horizontal turbulent duct flows. The performance of RNG κ-ε mode in its original form and with near-wall correction was tested. A new and simple correction measure to turbulence kinetic energy was proposed for RNG κ-ε model. It was found that RNG κ-ε model greatly over-predicts the deposition velocity in its original form. The near-wall modification proposed in this paper is able to improve the simulation results on deposition. With the near-wall correction measure, RNG κ-ε model can reflect the V-shape deposition of micro- and nanometer particles.
Original languageEnglish
Title of host publication7th International Symposium on Heating, Ventilating and Air Conditioning - Proceedings of ISHVAC 2011
Number of pages6
Publication statusPublished - 1 Dec 2011
Event7th International Symposium on Heating, Ventilating and Air Conditioning, ISHVAC 2011 - Shanghai, China
Duration: 6 Nov 20119 Nov 2011


Conference7th International Symposium on Heating, Ventilating and Air Conditioning, ISHVAC 2011


  • Lagrangian discrete random walk method
  • Near-wall correction
  • Particle deposition
  • RNG κ-ε mode

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)

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