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Thursday, May 14, 2020 | History

3 edition of Numerical prediction of turbulent oscillating flow and associated heat transfer found in the catalog.

Numerical prediction of turbulent oscillating flow and associated heat transfer

Numerical prediction of turbulent oscillating flow and associated heat transfer

  • 47 Want to read
  • 15 Currently reading

Published by University of Minnesota, National Aeronautics and Space Administration in [Washington, D.C.?], [Cleveland, Ohio] .
Written in English

    Subjects:
  • Heat -- Transmission.,
  • Stirling engines.

  • Edition Notes

    StatementW.J. Koehler, S.V. Patankar, and W.E. Ibele.
    SeriesNASA contractor report -- 187177., NASA contractor report -- NASA CR-187177.
    ContributionsPatankar, Suhas V., 1941-, Ibele, Warren E., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15384375M

    A two-dimensional mathematical model has been undertaken to describe coupled liquid steel’s turbulent flow and heat transfer with solidification in the crystallizer of inverse casting. The solid-liquid phase change phenomena have been modeled by using the continuum formulations and considering the mush zone as porous media. Natural convection of air in a square cavity: a bench mark numerical solution / G. de Vahl Davis; Numerical prediction of turbulent oscillating flow and associated heat transfer [microform] / W.J. Koehl Natural convection in compressible fluids with variable properties / [by] .

    This monograph details recent achievements in turbulence theory, experiments and computations relevant to heat and mass transfer. Containing over 90 papers presented at the International Syposium on Turbulence, Heat and Mass Transfer, held in Lisbon, Portugal in , this book covers topics from turbulence structure to computation of complex flows. "Numerical Prediction of the Dynamic Behaviour of Turbulent Diffusion Flames." the method has first been used for the prediction of the dynamic behaviour of turbulent diffusion flames. The combustion has been modelled by a mixed-is-burnt model. The influence of the turbulence has been taken into account by a modified k-ε-model and the.

      Experimental and numerical investigations of turbulent flow and heat transfer have been performed in a concentric annulus between independently rotating tubes. Numerical predictions, applying a Reynolds stress turbulence model, are compared with experimental fluid flow and heat transfer results for the case of a heated outer tube and an adiabatic inner by: The numerical analysis of turbulent fluid flow and heat transfer through a rectangular elbow has been done by NH. model with standard wall function. Different inlet uniform velocities of 5m/s, 10m/s, 15 m/s, 20 m/s and 25 m/s The numerical modeling of a turbulent flow in a tee of rectangular cross-section was conducted by Chen et al., (


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Numerical prediction of turbulent oscillating flow and associated heat transfer Download PDF EPUB FB2

Numerical prediction of the heat transfer to low-Prandtl-number fluids has been carried out, A one-equation (k) turbulence model in the near-wall region and a two-equation (k ˜ ɛ) turbulence model in the core region are employed Many expressions proposed in the literature for the Pr t numbers are examined.

The fully developed temperature profiles obtained are compared with experimental results. Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion Paperback – Novem by D.

Brian Spalding (Author) See all 3 formats and editions Hide other formats and editions. Price New from Used from Kindle Author: D. Brian Spalding. Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion - Kindle edition by Spalding, D.

Brian, Patankar, Suhas V., Pollard, Andrew, Singhal, Ashok K. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Numerical Prediction of Flow, Heat Transfer, Turbulence and : $ NASA Contractor Report Lf Numerical Prediction of Turbulent Oscillating Flow and Associated Heat Transfer W.J.

Koehler, S.V. Patankar, and W.E. Ibele. Description. Numerical Prediction of Flow, Heat Transfer, Turbulence and Combustion: Selected Works of Professor D. Brian Spalding focuses on the many contributions of Professor Spalding on thermodynamics.

This compilation of his works is done to honor the professor on the occasion of his 60th birthday. Relatively, the works contained in this book are selected to highlight Book Edition: 1. Get this from a library.

Numerical prediction of turbulent oscillating flow and associated heat transfer. [W J Koehler; Suhas V Patankar; Warren E Ibele; United States. National Aeronautics and Space Administration.]. Numerical prediction of turbulent oscillating flow and associated heat transfer.

A crucial point for further development of engines is the optimization of its heat exchangers which operate under oscillatory flow conditions. It has been found that the most important thermodynamic uncertainties in the Stirling engine designs for space power are in the heat transfer between gas and metal in all engine components and in the pressure drop across the heat exchanger Cited by: 8.

4 Numerical Prediction of Turbulent Oscillating Flow and Heat Transfer in Pipes With Various End Geometries (NASA-CR) NUMERICAL PREDICTION OF TURBULENT OSCILLATING FLOW AND HEAT TRANSFER IN PIPES WITH VARIOUS END GEOMETRIES Ph.D. Thesis, Final Report (Minnesota Univ.) p N Uncl as G3/34 Kirk LeRoi Oseid University of.

Through performance evaluations, it has been found that both the Reynolds analogy factor and the heat transfer coefficient under equal pumping power decrease slightly, while the heat transfer coefficient obtained with equal mass flow rate increases appreciably with α, suggesting effective turbulent heat transfer within ducts of cross-shaped Cited by: 4.

Heat transfer in fully developed turbulent pipe flow with isoflux condition imposed at the wall is investigated numerically by use of direct numerical simulation (DNS) and large eddy simulation (LES) for various rotation rates (0 ⩽ N ⩽ 7) at a Reynolds number equal to To validate the present computations, predictions are compared to the results reported in the archival literature, and found to Cited by: 9.

The book presents various research on combustion, heat transfer, turbulence, and flows. His thinking on separated flows paved the way for the multi-dimensional modeling of turbulence. Arguments on the universality of the models of turbulence and the problems that are associated with combustion engineering are clarified.

The computations utilized an explicit numerical differencing scheme and an algebraic closure model based upon a three-dimensional mixing length.

The computed local and fully-developed shear stresses and heat transfer are shown to be in good agreement with measured data and with predictions using the k–ε closure by: AIREX: Numerical prediction of turbulent oscillating flow and associated heat transfer A crucial point for further development of engines is the optimization of its heat exchangers which operate under oscillatory flow conditions.

The examinations on the heat transfer in developing laminar oscillating pipe flow presented before [1] have been extended to include turbulence as well. A suitable low-Reynolds-number k-ɛ-turbulence model was incorporated in an existing 2D-simulation code for oscillating flow conditions and subsequent examinations focused on the heat transfer associated with turbulent oscillating by: Numerical methods for predicting two-dimensional elliptic flows and the means by which complex geometries can be modeled are reviewed.

Particular consideration is given to the prediction of turbulent flow and heat transfer over backward facing steps with emphasis on the treatment of the turbulent flow at a convex corner and on the representation of complex step by: 3.

Numerical predictions of laminar and turbulent fluid flow and heat transfer around staggered and in‐line tube banks are shown to agree closely with seven experimental test cases. The steady state Reynolds‐averaged Navier‐Stokes equations are discretised by means of a cell‐centred finite‐volume algorithm.

Two‐dimensional results include velocity vectors and streamlines, surface Cited by: The accurate modelling of heat transfer to turbulent flow and the prediction of the temperature distribution in the flow remain one of the problem areas of numerical simulations.

Traditional turbulence closure models, like the k –ε model, effectively only increase the viscosity of the fluid and introduce wall functions close to boundaries to. A cycle and space averaged Nusselt number correlation is fitted which is useful in predicting rate of heat transfer from oscillating flows through highly porous and permeable solid media (such as.

1 Numerical simulation of turbulent oscillating flow in porous media A. Kardgara,b, A. Jafariana* a Department of Mechanical Engineering, Tarbiat Modares University, P.O. BoxTehran, Iran b Department of Mechanical Engineering, University of Mazandaran, P.O. BoxBabolsar, Iran† Abstract Two macroscopic turbulent models, P-dL and N-K, have been proposed in recent Author: Amin Kardgar, A.

Jafarian. Key words: Enhancement, mesh inserts, heat transfer, turbulent flow, CFD analysis. Nomenclature A convective heat transfer area (S.D.L), (m2) A 0 area of orifice, (m 2) A p test section inner tube area (/4 D 2), (m2) A f frontal area of porous insert, (m 2) A fr free area for air flow, (m 2) Cp specific heat.

Numerical Prediction of Turbulent Oscillating Flow and Associated Heat Transfer, University of Minnesota ; National Aeronautics and Space Administration Jan W J [email protected]{osti_, title = {Numerical prediction of transitional features of turbulent forced gas flows in circular tubes with strong heating}, author = {Ezato, K and Japan Atomic Energy Research Inst., Ibaraki and Shehata, A M and Kunugi, T and Japan Atomic Energy Research Inst., Ibaraki and McEligot, D M and Univ.

of Arizona, Tucson, AZ}, abstractNote = {In order to treat strongly heated.In this study, single-phase heat transfer enhancement in internally finned tubes is investigated numerically. The influence of fin number, helix angle, fin height, fin width, and shape on the flow and heat transfer characteristics is studied.

The research results indicate that the resistance coefficient and Nusselt number both increase with the increment of these parameters, among which the Cited by: 1.