2022
DOI: 10.37934/cfdl.14.5.2432
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The Accuracy of the Numerical Solution in Predicting Ahmed Body Components Drag Coefficients

Abstract: In recent years, the aerodynamic drag became a major interest of automotive industry as it is one of the main components affecting the fuel consumption. To reduce aerodynamic drag force and improve the energetic efficiency, a complete understanding of the flow around ground vehicles is highly required. This study focused on the accuracy of a three different turbulence models in predicting Ahmed body components drag coefficients. Ahmed Body is a simplified model which mimics the bluff bodies in automotive aerod… Show more

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Cited by 2 publications
(2 citation statements)
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“…Computational modelling approaches are applied to determine aerodynamic efficiency of vehicles' panelling with the aim of reducing fuel consumption [1]. Computational fluid dynamics (CFD) models can help to optimize the aerodynamic shape of vehicles to reduce the drag coefficient [1][2][3]. Hachimy et al, [2] presented a computational model focusing on three turbulent regimes to predict the drag coefficient for a vehicle body using ANSYS Fluent analysis.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Computational modelling approaches are applied to determine aerodynamic efficiency of vehicles' panelling with the aim of reducing fuel consumption [1]. Computational fluid dynamics (CFD) models can help to optimize the aerodynamic shape of vehicles to reduce the drag coefficient [1][2][3]. Hachimy et al, [2] presented a computational model focusing on three turbulent regimes to predict the drag coefficient for a vehicle body using ANSYS Fluent analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Computational fluid dynamics (CFD) models can help to optimize the aerodynamic shape of vehicles to reduce the drag coefficient [1][2][3]. Hachimy et al, [2] presented a computational model focusing on three turbulent regimes to predict the drag coefficient for a vehicle body using ANSYS Fluent analysis. They investigated the kepsilon, the shear stress transfer (SST) and the k-omega SST to minimise the drag coefficient.…”
Section: Introductionmentioning
confidence: 99%