Comparisons of high-Reynolds-number EVM and DSM models in the prediction of heat and fluid flow of turbine blade cooling passages

Yoji Okita, Hector Iacovides

    Research output: Contribution to journalArticlepeer-review


    This paper presents computations of flow and heat transfer through passages relevant to those used to internally cool gas-turbine blades, using high-Reynolds-number models of turbulence. Three types of internal flows are first examined, which between them contain all the main elements found in blade cooling passages; developing flow through a heated straight duct rotating orthogonally, repeating flow and heat transfer through a straight ribbed duct and flow and heat transfer through a round-ended U-bend of strong curvature square and of cross-section. Next, flows influenced by a combination of these elements are computed. The main objective is to establish how reliably, industry-standard high-Reynolds-number models can predict flow and wall-heat transfer in blade-cooling passages. Two high-Reynolds-number models have been used, the standard version of the high-Re k (EVM) model and the basic high-Re model of stress transport (DSM). In all the cases the second-moment closure (DSM) consistently produced flow and thermal predictions that are closer to available measurements than those of the EVM model. Even the high-Re DSM predictions, however, are not in complete agreement with the experimental data. Comparisons with predictions of earlier studies that use low-Re models of turbulence show that at least some of the remaining differences between the current predictions that experimental data are due to the use of the wall-function approach.
    Original languageEnglish
    Pages (from-to)585-597
    Number of pages12
    JournalJournal of Turbomachinery
    Issue number3
    Publication statusPublished - Jul 2003


    • Differential Stress Model
    • Eddy Viscosity Model
    • Internal cooling
    • Turbine blade
    • Wall function


    Dive into the research topics of 'Comparisons of high-Reynolds-number EVM and DSM models in the prediction of heat and fluid flow of turbine blade cooling passages'. Together they form a unique fingerprint.

    Cite this