Identification and Control of Taylor-Görtler Vortices in Turbulent Curved Channel Flow

Direct numerical simulations of turbulent flows in a curved channel are performed. The drifting Taylor-Görtler vortices are identified by applying a conditional averaging. A new algorithm is proposed for identifying the drifting Taylor-Görtler vortices based on the wavelet transform of wall information. A continuous wavelet transform with Marr wavelets is employed to decompose the flow signals at a chosen length scale. An active cancellation is applied to attenuate the Taylor-Görtler vortices and to reduce the wall skin friction.