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G. Faltin

Bio: G. Faltin is an academic researcher. The author has contributed to research in topics: Lift-to-drag ratio & Zero-lift drag coefficient. The author has an hindex of 1, co-authored 1 publications receiving 842 citations.

Papers
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Proceedings ArticleDOI
01 Feb 1984
TL;DR: In this paper, a basic ground vehicle type of bluff body, the time averaged wake structure is analyzed for low and high wake flow for the low drag and high drag configurations is described.
Abstract: For a basic ground vehicle type of bluff body, the time averaged wake structure is analysed. At a model length based reynolds number of 4.29 million, detailed pressure measurements, wake survey and force measurements were done in a wind tunnel. Some flow visualisation results were also obtained. Geometric parameter varied was base slant angle. A drag breakdown revealed that almost 85% of body drag is pressure drag. Most of this drag is generated at the rear end. Wake flow exhibits a triple deck system of horseshoe vortices. Strength, existence and merging of these vortices depend upon the base slant angle. Characteristic features of the wake flow for the low drag and high drag configurations is described. Relevance of these phenomena to real ground vehicle flow is addressed.

936 citations


Cited by
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Book
05 Feb 1987
TL;DR: In this paper, the authors present an introduction to automobile aerodynamics, including aerodynamic drag of cars and light vans, and numerical methods for computation of flow around road vehicles, and wind tunnels for automobile aerodynamic testing.
Abstract: Contents: Introduction to automobile aerodynamics. Some fundamentals of fluid mechanics. Performance of cars and light vans. Aerodynamic drag of passenger cars. Driving stability in side winds. Operation, safety and comfort. High performance vehicles. Commercial vehicles. Engine cooling systems. Heating, ventilation and air conditioning of motor vehicles. Wind tunnels for automobile aerodynamics. Measurement and test techniques. Numerical methods for computation of flow around road vehicles.

802 citations

Journal ArticleDOI
TL;DR: A coherent review of the various approaches proposed in the recent literature on hybrid LES/RANS approaches is presented to provide information on how to distinguish different methods and their ingredients and to further the understanding of inherent limitations and difficulties.

652 citations

Journal ArticleDOI
TL;DR: In this article, the authors acknowledge the partial support of the National Science Foundation Graduate Fellowship and the National Defense Science and Engineering Graduate Fellowship for a research grant from King Abdullah University of Science and Technology (KAUST) and Stanford University.
Abstract: The first author acknowledges the partial support by a National Science Foundation Graduate Fellowship and the partial support by a National Defense Science and Engineering Graduate Fellowship. The second and third authors acknowledge the partial support by the Motor Sports Division of the Toyota Motor Corporation under Agreement Number 48737, and the partial support by a research grant from the Academic Excellence Alliance program between King Abdullah University of Science and Technology (KAUST) and Stanford University. All authors also acknowledge the constructive comments received during the review process.

591 citations

Journal ArticleDOI
TL;DR: Global state-space error bounds are developed that justify the method's design and highlight its advantages in terms of minimizing components of these error bounds and a 'sample mesh' concept is introduced that enables a distributed, computationally efficient implementation of the GNAT method in finite-volume-based computational-fluid-dynamics (CFD) codes.

566 citations

Book ChapterDOI
F. R. Menter1, M. Kuntz1
01 Jan 2004
TL;DR: Turbulence model development for aerodynamic applications has for many years concentrated on improving the capabilities of CFD methods for separation prediction as discussed by the authors, which has led to a series of models capable of capturing boundary layer separation in good agreement with experimental data.
Abstract: Turbulence model development for aerodynamic applications has for many years concentrated on improving the capabilities of CFD methods for separation prediction. Validation studies of turbulence models in the ‘80th have clearly shown that most turbulence models were not capable of predicting the development of turbulent boundary layers under adverse pressure gradient conditions. Based on that observation, new models were developed to specifically meet this challenge, resulting in a series of models capable of capturing boundary layer separation in good agreement with experimental data (Johnson and King 1984, Menter 1993, Spalart and Allmaras 1994).

327 citations