On Developments of k-τ and k-ω Models for Near-Wall Turbulence of Engineering Duct Flows

Masoud Rokni, Bengt Sundén

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The performance of a modified k-tau model is assessed in predicting the turbulent flow and forced convective heat transfer in ducts with arbitrary cross-sections, under fully developed conditions. The presented model is based on more physical grounds using bounded time-scale, local turbulent Reynolds number, a dynamic C-mu (accounts for variation of C-mu) and dynamic coefficients for the Reynolds stress tensor representations, instead of constant values in common modeling procedures. Because all the key coefficients have dynamic behavior and vary due to local turbulence character, the model is found to be stable and superior to the traditional k-epsilon model. In addition, due to dynamic coefficients and bounded time-scale, the model can be used for a large number of Reynolds numbers, both high and low Reynolds numbers. The presented k-tau model alleviates the major problem of the k-epsilon model namely, the lack of natural boundary conditions. Based on idea of Kolmogorov time-scale a boundary condition at the wall is also proposed. A bounded k-omega model for near wall turbulence is also presented and comparison with other well established two-equation models (k-epsilon model and Wilcox k-omega model) are also made to validate the performance of the presented model in duct flows.
    Original languageEnglish
    JournalInternational Journal of Transport Phenomena
    Volume11
    Issue number3
    Pages (from-to)233-253
    ISSN1028-6578
    Publication statusPublished - 2009

    Keywords

    • Turbulence modeling
    • k – omega
    • k – tau
    • secondary motions
    • bounded modeling
    • quadratic GGDH
    • dynamic cmu
    • dynamic modeling
    • flow parameter
    • EASM

    Fingerprint

    Dive into the research topics of 'On Developments of k-τ and k-ω Models for Near-Wall Turbulence of Engineering Duct Flows'. Together they form a unique fingerprint.

    Cite this