Design optimization of a fluidic thrust vectoring system based on coanda effect using meta-models

Abstract In this study, parametric optimization is employed to identify optimal output parameters for physical components of HOMER nozzle type fluidic thrust vectoring (FTV) system. Optimization study is conducted on seven output parameters: moment around upper Coanda surface, M A ; performance parameter, PP; thrust vectoring angle, θ T ; total thrust, T; thrust vectoring efficiency, η ; axial thrust, T x ; transverse thrust, T y . 440 case studies in design-of-experiment stage are employed, utilizing a range of meta-models. Genetic-Aggregation meta-model exhibited highest coefficient of determination (R 2 ) among tested meta-models. In response surface optimization stage, six objectives are enforced through use of Multi-Objective-Genetic-Algorithm technique. Subsequently, three optimization candidate points are identified for filtering of output parameters deemed to be of particular importance. Among them, candidate point with geometry-4 and parameter-1 = 39.23 m/s, exhibited the highest values for PP, θ T , η, and T y , with 4.78 %, 4.48 %, 7.97 %, and 7.94 % higher values, respectively, compared to the baseline geometry.