03.3 - Basic Fluid Dynamics and Flow Control
GENETIC ALGORITHM OPTIMIZATION OF AN OPPOSITION CONTROL STRATEGY IN A FULLY TURBULENT CHANNEL FLOW
E. Saccaggi¹, G.M. Di Cicca¹; ¹Politecnico di Torino, Italy
The proposed study investigates a real-time opposition control strategy to reduce the skin friction drag driven by arngenetic algorithm optimization. The experiments are conducted in a fully turbulent channel flow having the frictionrnReynolds number Re? = 270. Opposition control of sweep events is carried out using a wall-normal jet. Changes tornthe turbulence structure in the region closer to the wall are examined using hot-wire anemometry. By using a geneticrnalgorithm, amplitude, frequency, and phase are optimized to minimize the skin friction drag.