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Information Journal Paper

Title

PREDICTION OF FLUID FLOW THROUGH U-BEND CHANNELS USING LINEAR AND NONLINEAR MODELS OF TURBULENCE

Pages

  423-432

Abstract

 In the present paper, the performance of zonal, linear and nonlinear low-Reynolds k-e models of turbulence in prediction of turbulent flow through three-dimensional U-BEND CHANNELs of internal cooling passage of gas turbine blades is investigated. The finite volume method is to solve the governing equations of mean fluid flow and turbulence fields. Results show that the zonal and linear k-e models are able to predict the velocity profiles in a similar manner but both linear models overestimate the turbulent levels in some region of flow domain including the separation zone. All three turbulence models yield similar predictions for the location of separation point. In general, the mean flow and turbulence field predictions of the NONLINEAR MODEL show improvement in comparison to the linear models everywhere including the separation zone. Furthermore, the nonlinear low-Reynolds turbulence k-e model yields more accurate predictions for not only the level of Reynolds stresses but their variations from the inner-side toward the outer-side of the duct. The maximum values of turbulent stresses are better reproduced by the NONLINEAR MODEL than the zonal and linear turbulence models.

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    APA: Copy

    VAEZI, MOHAMMAD, & RAISEE, MEHRDAD. (2017). PREDICTION OF FLUID FLOW THROUGH U-BEND CHANNELS USING LINEAR AND NONLINEAR MODELS OF TURBULENCE. MODARES MECHANICAL ENGINEERING, 17(6 ), 423-432. SID. https://sid.ir/paper/179233/en

    Vancouver: Copy

    VAEZI MOHAMMAD, RAISEE MEHRDAD. PREDICTION OF FLUID FLOW THROUGH U-BEND CHANNELS USING LINEAR AND NONLINEAR MODELS OF TURBULENCE. MODARES MECHANICAL ENGINEERING[Internet]. 2017;17(6 ):423-432. Available from: https://sid.ir/paper/179233/en

    IEEE: Copy

    MOHAMMAD VAEZI, and MEHRDAD RAISEE, “PREDICTION OF FLUID FLOW THROUGH U-BEND CHANNELS USING LINEAR AND NONLINEAR MODELS OF TURBULENCE,” MODARES MECHANICAL ENGINEERING, vol. 17, no. 6 , pp. 423–432, 2017, [Online]. Available: https://sid.ir/paper/179233/en

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