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

Chun Xiao Xu, Jung Il Choi, Hyung Jin Sung

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2387-2393
Number of pages7
JournalAIAA journal
Volume41
Issue number12
DOIs
Publication statusPublished - 2003 Dec

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Fingerprint Dive into the research topics of 'Identification and Control of Taylor-Görtler Vortices in Turbulent Curved Channel Flow'. Together they form a unique fingerprint.

Cite this