Volume 7B: Fluids Engineering Systems and Technologies 2013
DOI: 10.1115/imece2013-67343
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Flow Control on the Ahmed Body Vehicle Model Using Fluidic Oscillators

Abstract: Aerodynamic drag accounts for a sizable portion of transportation energy consumption. Transportation of goods and people always involves moving objects through air, which leads to a force opposing motion. This force can account for more than 60% of power consumed by a ground vehicle, such as a car or truck, at highway speeds. There is a wide range of drag coefficient seen on ground vehicles with a strong correlation to vehicle shape. The shape of the vehicle is often determined by functional necessity or aesth… Show more

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Cited by 5 publications
(7 citation statements)
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“…A drag coefficient C d of 0.272 is measured on this simulation as shown in Figure 3. It is in good agreement with 3 per cent error compared to the experimental value of 0.28 obtained by Metka (2013) at a Reynolds number of 4.10 5 and 0.31 obtained by Dobrev and Massouh (2014) at Reynolds number of 4.7 × 10 5 . The drag force distribution also indicates that the rear is responsible for 75 per cent of aerodynamic loss.…”
Section: Uncontrolled Flowsupporting
confidence: 90%
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“…A drag coefficient C d of 0.272 is measured on this simulation as shown in Figure 3. It is in good agreement with 3 per cent error compared to the experimental value of 0.28 obtained by Metka (2013) at a Reynolds number of 4.10 5 and 0.31 obtained by Dobrev and Massouh (2014) at Reynolds number of 4.7 × 10 5 . The drag force distribution also indicates that the rear is responsible for 75 per cent of aerodynamic loss.…”
Section: Uncontrolled Flowsupporting
confidence: 90%
“…For the 47° Ahmed body, corresponding to an SUV vehicle, drag force reduction is a challenging objective for automotive industry because of the weak influence of the geometric parameters. To our knowledge, the only 47° study corresponds to the experimental work of Metka (2013) and Dobrev and Massouh (2014).…”
Section: Introductionmentioning
confidence: 99%
“…The model is divided into high-and low-drag bodies, which correspond to 12.5°< ϕ < 30°and ϕ > 30°, respectively. The low-drag bodies (ϕ > 30°) may represent the commonly used cars such as sport utility vehicles (SUV) and multi-purpose vehicles (MPV), whose rear slant angles are usually larger than 30° (Metka 2013;Edwige et al 2018;. The associated flow is fully separated over the rear window, forming a big recirculation bubble which covers the rear window and most of the base.…”
Section: Introductionmentioning
confidence: 99%
“…The synthetic jet arrays were also placed along the two side edges of the rear window, but again no DR was achieved. Metka's (2013) attempt deploying an array of fluidic oscillators along the upper edge of the rear window of an Ahmed body with ϕ = 45°again resulted in a drag increase by 2 %. Jahanmiri & Abbaspour (2011) introduced experimentally and numerically air suction through two rows of holes near the upper edge of the rear window (ϕ = 45°), achieving a DR of 2 %.…”
Section: Introductionmentioning
confidence: 99%
“…The pulsed microjets on the car’s rear side show a negligible effect on drag and 9% reduction in lift (Aider et al , 2014). Blow-jet fluidic oscillators on rear side reduces the drag up to 20% (Metka, 2013; Phan and Nguyen, 2022). The synthetic jet near the rear windows effectively suppresses the separation and reduces drag max by 13% (Leclerc and Kourta, 2011).…”
Section: Introductionmentioning
confidence: 99%