computational fluid dynamics an heat transfer

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computational fluid dynamics an heat transfer

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[...]... for Wall-Bounded Turbulent Heat Transfer 310 8.8.1 Evaluations of turbulent heat transfer models in rotating channel flows 310 8.8.2 Proposal of nonlinear eddy diffusivity model for wall-bounded turbulent heat transfer 312 Model Performances 316 8.9.1 Prediction of rotating channel flow using NLEDMM 316 8.9.2 Prediction of rotating channel-flow heat transfer using NLEDHM ... Transverse ribbed duct flow .269 7.3.3 V-shaped ribbed duct flow 271 Conclusions 273 Recent developments in DNS and modeling of turbulent clows and heat transfer 275 Yasutaka Nagano and Hirofumi Hattori 8.1 8.2 8.3 8.4 8.5 8.6 8.7 Introduction 275 Present State of Direct Numerical Simulations 276 Instantaneous and Reynolds-Averaged Governing Equations for Flow and Heat Transfer. .. demonstrates the advantages of large-eddy simulation (LES) for computations of the flow and heat transfer in ribbed ducts through a gas turbine blade Direct numerical simulation (DNS) Sunden Prelims.tex 15/9/2010 15: 48 Page viii is introduced in Chapter 8 In this chapter recent studies on DNS and turbulence models from the standpoint of computational fluid dynamics (CFD) and computational heat transfer (CHT)... is to introduce computational methods for fluid flow and heat transfer to scientists, engineers, educators, and graduate students who are engaged in developing and/or using computer codes The topic ranges from basic methods such as a finite difference, finite volume, finite element, largeeddy simulation (LES), and direct numerical simulation (DNS) to advanced, and smoothed particle hydrodynamics (SPH) The... low-diffusive and oscillation-free convection scheme, Comm Appl Numer Methods, 7, pp 225–232, 1991 [8] Patankar, S V Numerical Heat Transfer and Fluid Flow, McGraw-Hill, New York 1980 [9] Khosla, P K., and Rubin, S G A diagonally dominant second-order accurate implicit scheme, Comput Fluids, 2, pp 207–209, 1974 [10] Rhie, C M., and Chow, W L A numerical study of the turbulent flow past an isolated airfoil... or which correspond to the triangle region shown in Figure 1.3 ˜C ≥1 (14) Sunden CH001.tex 17/8/2010 20: 14 Page 10 10 Computational Fluid Dynamics and Heat Transfer ~ Ff ~ 2F c QUICK 1.0 WACEB ~ CF c TVD constraints A B ~ 1.0 F c Figure 1.3 Diagrammatic representation of the TVD constraint and WACEB scheme The Taylor series expansion shows that the first two leading truncaand tion error terms of the... Governing Equations for Flow and Heat Transfer 277 Numerical Procedures of DNS .279 8.4.1 DNS using high-accuracy finite-difference method 280 8.4.2 DNS using spectral method 280 DNS of Turbulent heat Transfer in Channel Flow with Transverse-Rib Roughness: Finite-Difference Method 281 8.5.1 Heat transfer and skin friction coefficients .281 8.5.2 Velocity and thermal fields around the rib... grids, Convective fluxes Sunden CH002.tex 10/9/2010 15: 8 Page 20 20 Computational Fluid Dynamics and Heat Transfer 2.1 Introduction Finite-difference numerical simulations have suffered from false diffusion, which is synonymously referred to as numerical diffusion This deficiency and other errors in computational fluid dynamics (CFD) are an inevitable outcome of the different interpolation schemes used... may display unphysical Sunden CH001.tex 17/8/2010 20: 14 Page 4 4 Computational Fluid Dynamics and Heat Transfer oscillations in regions of steep gradients, which can be sufficiently serious to cause numerical instability During the past two decades, efforts have been made to derive higher resolution and bounded schemes In 1988, Zhu and Leschziner proposed a local oscillation-damping algorithm (LODA)... numerical stability analysis, eigenvalue-stiffness problem, features of two- and three-dimensional computational schemes, and fluxvector splitting technique The chapter shows a few case studies for gas turbine blade design and centrifugal compressor flow computations The fourth and fifth chapters give overview of the finite-element method and its applications to heat and fluid flow problems An introduction to . Fluid Dynamicsomputational Fluid Dynamics omputational Fluid Dynamicsomputational Fluid Dynamics omputational Fluid Dynamics and Heat Tand Heat T and Heat Tand Heat T and Heat T ransfransf ransfransf ransf erer erer er WIT eLibrary Home. blank CC CC C omputational Fluid Dynamicsomputational Fluid Dynamics omputational Fluid Dynamicsomputational Fluid Dynamics omputational Fluid Dynamics and Heat Tand Heat T and Heat Tand Heat. Element Method in Heat Transfer, Phase Change Problems, Heat Transfer in Micro-Devices, Plate-and-Frame Heat Exchangers, Turbulent Convective Heat Transfer in Ducts, Enhancement of Heat Transfer, Transport

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  • Cover

  • Computational Fluid Dynamics and Heat Transfer

  • Copyright Page

  • Contents

  • Preface

  • I. Finite-Volume Method

    • 1. A higher-order bounded discretization scheme

    • 2. Higher-order numerical schemes for heat, mass, and momentum transfer in fluid flow

    • 3. CFD for industrial turbomachinery designs

    • II. Finite Element Method

      • 4. The finite element method: discertization and application to heat convection problems

      • 5. Equal-order segregated finite-element method for fluid flow and heat transfer simulation

      • III.Turbulent Flow Computations/Large Eddy Simulation/Direct Numerical Simulation

        • 6. Time-accurate techniques for turbulent heat transfer analysis in complex geometries

        • 7. On large eddy simulation of turbulent flow and heat transfer in ribbed ducts

        • 8. Recent developments in DNS and modeling of turbulent clows and heat transfer

        • 9. Analytical wall-functions of turbulence for complex surface flow phenomena

        • IV. Advanced Simulation Modeling Technologies

          • 10. SPH – a versatile multiphysics modeling tool

          • 11. Evaluation of continuous and discrete phase models for simulating submicrometer aerosol transport and deposition

          • 12. Algorithm stabilization and acceleration in computational fluid dynamics: exploiting recursive properties of fixed point algorithms

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