Numerical study of tip leakage flow control in turbine cascades using the DBD plasma model improved by the parameter identification method

In the present work, an improved dielectric barrier discharge (DBD) plasma model is applied to a highly-loaded turbine cascade to numerically study its effect on suppressing tip leakage flow. First, a parameter identification system is established using the Kriging model and genetic algorithm. The simplified model is then improved based on this parameter identification system so that it is more consistent with the published experimental results. Expressions of maximum electric field strength and the outline of the plasma active region are rebuilt in this improved model. It is then integrated into the blade tip with a tip clearance of 1% of the blade height on the suction side. This design is used to suppress the tip leakage flow. This would lead to a decrease in the leakage by 40.5% when the plasma device is applied to the blade tip. (C) 2018 Elsevier Masson SAS. All rights reserved.