▪ AbstractWe review the experimental evidence on turbulent flows over rough walls. Two parameters are important: the roughness Reynolds number ks+, which measures the effect of the roughness on the buffer layer, and the ratio of the boundary layer thickness to the roughness height, which determines whether a logarithmic layer survives. The behavior of transitionally rough surfaces with low ks+ depends a lot on their geometry. Riblets and other drag-reducing cases belong to this regime. In flows with δ/k ≲ 50, the effect of the roughness extends across the boundary layer, and is also variable. There is little left of the original wall-flow dynamics in these flows, which can perhaps be better described as flows over obstacles. We also review the evidence for the phenomenon of d-roughness. The theoretical arguments are sound, but the experimental evidence is inconclusive. Finally, we discuss some ideas on how rough walls can be modeled without the detailed computation of the flow around the roughness element...

Turbulent flows over rough walls

The present author was asked to provide an update on the status and the more recent developments around the shear-stress transport (SST) turbulence model for this special issue of the journal. The article is therefore not intended as a comprehensive overview of the status of engineering turbulence modelling in general, nor on the overall turbulence modelling strategy for ANSYS computational fluid dynamics (CFD) in particular. It is clear from many decades of turbulence modelling that no single model-nor even a single modelling approach-can solve all engineering flows. Any successful CFD code will therefore have to offer a wide range of models from simple Eddy-viscosity models through second moment closures all the way to the variety of unsteady modelling concepts currently under development. This article is solely intended to outline the role of the concepts behind the SST model in current and future CFD simulations of engineering flows.

Review of the shear-stress transport turbulence model experience from an industrial perspective

Hybrid LES/RANS methods for the simulation of turbulent flows

This book was developed during Professor Ghiaasiaan's twelve years of teaching a graduate-level course on convection heat and mass transfer. It is ideal for a graduate course covering the theory and practice of convection heat and mass transfer. The book treats well-established theory and practice but is also enriched by its coverage of modern areas such as flow in microchannels, computational fluid dynamics-based design and analysis methods. It is primarily concerned with convection heat transfer, with the essentials of mass transfer also covered. The mass transfer material and problems are presented in such a way that they can be skipped if not required. The book is richly enhanced by examples and end-of-chapter exercises. A complete solutions manual is available to qualified instructors. The book includes eighteen appendices providing compilations of most essential property and mathematical information for analysis of convective heat and mass transfer processes.

/pdf/convective-heat-and-mass-transfer-38atbsta3x.pdf

Convective heat and mass transfer

Operational modal analysis deals with the estimation of modal parameters from vibration data obtained in operational rather than laboratory conditions. This paper extensively reviews operational modal analysis approaches and related system identification methods. First, the mathematical models employed in identification are related to the equations of motion, and their modal structure is revealed. Then, strategies that are common to the vast majority of identification algorithms are discussed before detailing some powerful algorithms. The extraction and validation of modal parameter estimates and their uncertainties from the identified system models is discussed as well. Finally, different modal analysis approaches and algorithms are compared in an extensive Monte Carlo simulation study.

System Identification Methods for (Operational) Modal Analysis: Review and Comparison

Near-wall behavior of RANS turbulence models and implications for wall functions

Reynolds averaged computations of turbulent flow in a transonic turbine passage are presented to illustrate a manner in which widely used turbulence models sometimes provide poor heat transfer predictions. It is shown that simple, physically and mathematically based constraints can substantially improve those predictions.

/pdf/toward-improved-prediction-of-heat-transfer-on-turbine-5bsi0f5jaq.pdf

Toward Improved Prediction of Heat Transfer on Turbine Blades

1. Introduction to viscous flow 2. Elements of computational analysis 3. Creeping flow 4. Intermediate Reynolds numbers 5. High Reynolds number and boundary layer 6. Turbulent flow 7. Compressible flow 8. Interfaces.

/pdf/fluid-dynamics-with-a-computational-perspective-2lekg8wm2q.pdf

Fluid dynamics with a computational perspective

Computations of flow and heat transfer for a film-cooled high pressure gas turbine rotor blade geometry are presented with an assessment of several turbulence models. Details of flow and temperature field predictions in the vicinity of cooling holes are examined. It is demonstrated that good predictions can be obtained when spurious turbulence energy production by the turbulence model is prevented.

/pdf/toward-improved-film-cooling-prediction-1qqpkoev17.pdf

Toward improved film cooling prediction

Natural and forced unsteadiness play a major role in turbine blade trailing edge cooling flows Reynolds averaged simulations are presented for a surface jet in coflow, resembling the geometry of the pressure side breakout on a turbine blade

https://works.bepress.com/paul_durbin/2/download/

Unsteady Effects on Trailing Edge Cooling

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