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Dive into the research topics where Florian R. Menter is active.

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Featured researches published by Florian R. Menter.


Journal of Turbomachinery-transactions of The Asme | 2006

A Correlation-Based Transition Model Using Local Variables: Part I — Model Formulation

Florian R. Menter; R. B. Langtry; S. R. Likki; Y. B. Suzen; P. G. Huang; S. Völker

A new correlation-based transition model has been developed, which is based strictly on local variables. As a result, the transition model is compatible with modern computational fluid dynamics (CFD) approaches, such as unstructured grids and massive parallel execution. The model is based on two transport equations, one for intermittency and one for the transition onset criteria in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike, e.g., turbulence models) but form a framework for the implementation of correlation-based models into general-purpose CFD methods. Part I (this part) of this paper gives a detailed description of the mathematical formulation of the model and some of the basic test cases used for model validation, including a two-dimensional turbine blade. Part II (Langtry, R. B., Menter, F. R., Likki, S. R., Suzen, Y. B., Huang, P. G., and Volker, S., 2006, ASME J. Turbomach., 128(3), pp. 423–434) of the paper details a significant number of test cases that have been used to validate the transition model for turbomachinery and aerodynamic applications. The authors believe that the current formulation is a significant step forward in engineering transition modeling, as it allows the combination of correlation-based transition models with general purpose CFD codes.


AIAA Journal | 2009

Correlation-Based Transition Modeling for Unstructured Parallelized Computational Fluid Dynamics Codes

R. B. Langtry; Florian R. Menter

A new correlation-based transition model has been developed, which is built strictly on local variables. As a result, the transition model is compatible with modern computational fluid dynamics techniques such as unstructured grids and massively parallel execution. The model is based on two transport equations, one for intermittency and one for a transition onset criterion in terms of momentum-thickness Reynolds number. A number of validation papers have been published on the basic formulation of the model. However, until now the full model correlations have not been published. The main goal of the present paper is to publish the full model and release it to the research community so that it can continue to be further validated and possibly extended or improved. Included in this paper are a number of test cases that can be used to validate the implementation of the model in a given computational fluid dynamics code. The authors believe that the current formulation is a significant step forward in engineering transition modeling, as it allows the combination of transition correlations with general-purpose computational fluid dynamics codes. There is a strong potential that the model will allow the first-order effects of transition to be included in everyday industrial computational fluid dynamics simulations.


International Journal of Computational Fluid Dynamics | 2009

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

Florian R. Menter

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.


43rd AIAA Aerospace Sciences Meeting and Exhibit | 2005

A Scale-Adaptive Simulation Model using Two-Equation Models

Florian R. Menter; Yury Egorov

The Scale-Adaptive Simulation (SAS) concept is based on the introduction of the von Karman length-scale into the turbulence scale equation. The information provided by the von Karman length-scale allows SAS models to dynamically adjust to resolved structures in a URANS simulation, which results in a LES-like behavior in unsteady regions of the flowfield. At the same time, the model provides standard RANS capabilities in stable flow regions. The introduction of the von Karman length-scale is based on the reformulation of Rottas’s equation for the integral length-scale. In the current paper, the term containing the von Karman length-scale is transformed to the SST turbulence model. It allows the SST model to be operated in a SAS mode.


Journal of Turbomachinery-transactions of The Asme | 2006

A Correlation-Based Transition Model Using Local Variables—Part II: Test Cases and Industrial Applications

R. B. Langtry; Florian R. Menter; S. R. Likki; Y. B. Suzen; P. G. Huang; S. Völker

A new correlation-based transition model has been developed, which is built strictly on local variables. As a result, the transition model is compatible with modern computational fluid dynamics (CFD) methods using unstructured grids and massive parallel execution. The model is based on two transport equations, one for the intermittency and one for the transition onset criteria in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike, e.g., turbulence models), but form a framework for the implementation of correlation-based models into general-purpose CFD methods. Part I of this paper (Menter, F. R., Langtry, R. B., Likki, S. R., Suzen, Y. B., Huang, P. G., and Volker, S., 2006, ASME J. Turbomach., 128(3), pp. 413–422) gives a detailed description of the mathematical formulation of the model and some of the basic test cases used for model validation. Part II (this part) details a significant number of test cases that have been used to validate the transition model for turbomachinery and aerodynamic applications, including the drag crisis of a cylinder, separation-induced transition on a circular leading edge, and natural transition on a wind turbine airfoil. Turbomachinery test cases include a highly loaded compressor cascade, a low-pressure turbine blade, a transonic turbine guide vane, a 3D annular compressor cascade, and unsteady transition due to wake impingement. In addition, predictions are shown for an actual industrial application, namely, a GE low-pressure turbine vane. In all cases, good agreement with the experiments could be achieved and the authors believe that the current model is a significant step forward in engineering transition modeling.


43rd AIAA Aerospace Sciences Meeting and Exhibit | 2005

Transition Modeling for General CFD Applications in Aeronautics

R. B. Langtry; Florian R. Menter

A new correlation-based transition model has been developed, which is built strictly on local variables. As a result, the transition model is compatible with modern CFD techniques such as unstructured grids and massively parallel execution. The model is based on two transport equations, one for intermittency and one for a transition onset criterion in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike e.g. turbulence models), but form a framework for the implementation of transition correlations into general-purpose CFD methods. The transition model was initially developed for turbomachinery flows. The main goal of the present paper is to validate the model for predicting transition in aeronautical flows. An incremental approach was used to validate the model, first on 2D airfoils and then on progressively more complicated test cases such as a 3-element flap, a 3D transonic wing and a full helicopter configuration. In all cases good agreement with the available experimental data was observed. The authors believe that the current formulation is a significant step forward in engineering transition modeling, as it allows the combination of transition correlations with general purpose CFD codes. There is a strong potential that the model will allow the 1 st order effects of transition to be included in everyday industrial CFD simulations.


44th AIAA Aerospace Sciences Meeting and Exhibit | 2006

Predicting 2D Airfoil and 3D Wind Turbine Rotor Performance using a Transition Model for General CFD Codes

R. B. Langtry; Janusz Gola; Florian R. Menter

*† ‡ A new correlation-based transition model has been developed, which is built strictly on local variables. As a result, the transition model is compatible with modern CFD techniques such as unstructured grids and massively parallel execution. The model is based on two transport equations, one for intermittency and one for a transition onset criterion in terms of momentum thickness Reynolds number. The proposed transport equations do not attempt to model the physics of the transition process (unlike e.g. turbulence models), but form a framework for the implementation of transition correlations into general-purpose CFD methods. The transition model was initially developed for turbomachinery and aeronautical flows. The main goal of the present paper is to validate the model for predicting transition on wind turbines. In this paper, fully turbulent and transitional computations of the 2D S809 airfoil along with a full 3D wind turbine rotor (that uses the S809 airfoil) have been accomplished. The transitional results are in good agreement with the experimental data and the transition model would appear to be well suited for the prediction of wind turbine aerodynamics.


Journal of Aircraft | 2005

Drag prediction of engine-airframe interference effects with CFX-5

R. B. Langtry; Martin Kuntz; Florian R. Menter

The commercial computational fluid dynamics (CFD) code CFX-5 of ANSYS, Inc., has been used to compute the engine installation drag for the German Aerospace Center (DLR) F6 aircraft configuration as part of the Second AIAA Drag Prediction Workshop. The computations were performed with the standard hexahedral meshes provided by ICEM.CFD to the workshop. The full drag polar for the DLR-F6 configuration has been computed. For all cases, good agreement between the experiment and the predictions were obtained for lift, drag, and pitching moment coefficients. All simulations where based on the shear stress transport turbulence model, and additional computations have indicated that turbulence modeling issues are largely responsible for the overprediction of the lift curve slope that was observed by many of the workshop participants.


Archive | 2012

Global vs. Zonal Approaches in Hybrid RANS-LES Turbulence Modelling

Florian R. Menter; Jochen Schütze; Mikhail Gritskevich

The paper will provide an overview of hybrid RANS-LES methods currently used in industrial flow simulations and will evaluate the models for a variety of flow topologies. Special attention will be devoted to the aspect of global vs. zonal approaches and aspects related to interfaces between RANS and LES zones.


Archive | 2010

Scale-Adaptive Simulation with Artificial Forcing

Florian R. Menter; A. Garbaruk; P. Smirnov; D. Cokljat; F. Mathey

The present paper describes first efforts carried out to extend the range of Scale-Adaptive Simulation (SAS) methods into the area of RANS-stable flows. Instead of relying on inherent flow instabilities for generating resolved turbulence in unstable regimes, the current approach employs forcing terms for transferring modelled turbulence energy into resolved energy in pre-specified regions of the simulation domain.

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P. G. Huang

University of Kentucky

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S. R. Likki

University of Kentucky

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Y. B. Suzen

North Dakota State University

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