Abstract:Ahmed cismi önden ve yanal rüzgar şartları altında incelenmiştir. Araç arkasında oluşan vorteks yapılarının etkileri gösterilmiştir. Arka yüzey eğim açısına göre sonuçlar irdelenmiştir.
An experimental investigation is conducted on the active drag reduction (DR) of an Ahmed body with a rear slant angle of 35°, corresponding to the low-drag regime, using single and combined actuations at the Reynolds number Re = 1.7 × 105. Five different actuations, produced by steady blowing jets, are deployed independently around the edges of the rear slant surface and vertical base, achieving the maximum DR of 1%–9%. An artificial intelligence control system based on ant colony algorithm is used for finding near-optimal control laws of the combined jets. With both DR and control power input considered in the cost function, the maximum DR obtained reaches 18%, though the corresponding control efficiency η (≡ES/EI, where ES and EI are the saved power due to DR and the total input power of the actuations, respectively) is only 0.13. However, η may go up greatly, climbing to 5.8, given a 3% sacrifice of DR. Extensive flow measurements are conducted, with and without control, to understand the flow physics and mechanisms under the control of individual and combined actuations. A linear regression model is established to describe the correlation between the control efficiency and parameters under the combined actuations.
An experimental investigation is conducted on the active drag reduction (DR) of an Ahmed body with a rear slant angle of 35°, corresponding to the low-drag regime, using single and combined actuations at the Reynolds number Re = 1.7 × 105. Five different actuations, produced by steady blowing jets, are deployed independently around the edges of the rear slant surface and vertical base, achieving the maximum DR of 1%–9%. An artificial intelligence control system based on ant colony algorithm is used for finding near-optimal control laws of the combined jets. With both DR and control power input considered in the cost function, the maximum DR obtained reaches 18%, though the corresponding control efficiency η (≡ES/EI, where ES and EI are the saved power due to DR and the total input power of the actuations, respectively) is only 0.13. However, η may go up greatly, climbing to 5.8, given a 3% sacrifice of DR. Extensive flow measurements are conducted, with and without control, to understand the flow physics and mechanisms under the control of individual and combined actuations. A linear regression model is established to describe the correlation between the control efficiency and parameters under the combined actuations.
In the present study, effect of side devices and crosswind flow are investigated to observe aerodynamic drag coefficient for a simplified ground vehicle (Ahmed body) since it directly effects fuel consumption. When the literature was examined, the studies that were investigated effect of slant angle, velocity and geometric modifications were presented. However, there are few studies that proposed both side device effect and crosswind flow for ground vehicles at different yaw angles. The CFD (Computational Fluid Dynamic) solution is performed both model with side devices and crosswind flow condition. The crosswind flow condition has been analyzed at different yaw angles (β=5°, 10°, 20°, and 30°) to observe how to affected drag coefficient. Pressure contours have been presented for model with and without side devices and under the crosswind flow conditions at rear region of body since the most of the drag force occurs flow separation or adverse pressure gradient. The streamlines velocities have been presented at x-plane which is positioned side devices location under the crosswind flow conditions. In addition, vorticity magnitude has been given for both models with and without side devices at different yaw angle. In the results of study are observed that side devices adversely effects aerodynamic performance since flow separation occurs on the side of body and it causes to increase pressure drag. The pressure drop is also observed at rear region of model due to crosswind flow condition. This causes the increase of drag forces.
Bu makalede, otomotiv aerodinamiği literatüründe sıklıkla kullanılan Ahmed cismi için bir HAD benzetiminde ağ oluşturma stratejisi üzerine bir çalışma yapılmıştır. Genel olarak bu çalışmalarda, türbülanslı sınır tabaka bölgelerini modellemek için prizmatik ağ katmanı oluştururken farklı yöntemler gözlemlenmektedir. Yetersiz bir prizmatik ağ katmanı sınır tabakasını çözmede eksik kalırken, bu katmanın gereğinden fazla olması ise ağ sayısını, dolayısıyla çözüm sürelerini artırmaktadır. Bu çalışmada, Ahmed cisminin akış yapısı, Ansys-Fluent™ programı ile akış hızına (U∞=40 m/s) ve gövde uzunluğuna bağlı Reynolds sayısı Re=2.83×106 olacak şekilde incelenmiştir. Matematiksel ifadelerden yararlanılarak oluşturulan prizmatik ağ katmanı ve bu ağın sonuçları hem nitel hem de nicel yönden incelenip, farklı bir strateji geliştirilen son bir ağ ile sonuçlar tekrar değerlendirilmiştir. Sonuç olarak, kabaca oluşturulan ilk ağ ile sonradan geliştirilen ağlar arasında, sınır tabakası üzerindeki akış profilini modellemede daha iyi bulgular elde edilmiştir. Ayrıca CD ve CL için deneysel yöntemle elde edilen sonuçlara, geliştirilen ağlarda, kabaca uygulanan ağa göre daha yakın sonuçlar elde edilmiştir.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.