Wake flow analysis and control on a 47° slant angle Ahmed body - Cnam - Conservatoire national des arts et métiers Accéder directement au contenu
Article Dans Une Revue International Journal of Numerical Methods for Heat and Fluid Flow Année : 2018

Wake flow analysis and control on a 47° slant angle Ahmed body

Résumé

Purpose The purpose of this paper is to present numerical investigations of the flow dynamic characteristics of a 47° Ahmed Body to identify wake flow control strategy leading to drag coefficient reduction, which could be tested later on sport utility vehicles. Design/methodology/approach This study begins with a mean flow topology description owing to dynamic and spectral analysis of the aerodynamic tensor. Then, the sparse promoting dynamic modal decomposition method is discussed and compared to other modal approaches. This method is then applied on the wall and wake pressure to determine frequencies of the highest energy pressure modes and their transfers to other frequency modes. This analysis is then used to design appropriated feedback flow control strategies. Findings This dynamic modal decomposition highlights a reduced number of modes at low frequency which drive the flow dynamics. The authors especially notice that the pressure mode at a Strouhal number of 0.22, based on the width between feet, induces aerodynamic losses close to the rear end. Strategy of the proposed control loop enables to dampen the energy of this mode, but it has been transferred to lower frequency mode outside of the selected region of interest. Originality/value This analysis and methodology of feedback control shows potential drag reduction with appropriated modal energy transfer management.
Fichier non déposé

Dates et versions

hal-04100445 , version 1 (17-05-2023)

Identifiants

Citer

Stephie Edwige, Yoann Eulalie, Philippe Gilotte, Iraj Mortazavi. Wake flow analysis and control on a 47° slant angle Ahmed body. International Journal of Numerical Methods for Heat and Fluid Flow, 2018, 28 (5), pp.1061-1079. ⟨10.1108/HFF-06-2017-0260⟩. ⟨hal-04100445⟩
13 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More