AN AERODYNAMIC PERFORMANCE OPTIMIZATION METHOD APPLIED TO THE INTAKE GRILLE OF ACTIVE CLEARANCE CONTROL SYSTEM

Abstract

The active clearance control system (ACC) of turbine is one of the core components,which can reduce the fuel consumption of civil aero-engine. And the tip-clearance change is greatly affected by the aerodynmaic performance of intake grille. To improve the performance, in this work, an aerodynamic optimization method of intake grille is proposed. This method is divided into three parts, such as the parameterization, the fitness evaluation and the optimization algorithm. Based on the commercial software NX 12.0, the grille is parameterized according to seven key geometric parameters. In order to evaluate the aerodynamic performance of grille accurately, a special fitness function is presented and figured out with the help of an adaptive back-propagation multi-layer feedforward artificial neural network (BP-MLANN). Lastly, utilizing the continuous swarm particle optimization-modified very fast simulated annealing algorithm (CPSO-MVFSA), the optimal aerodynamic performance of intake grille is achieved. Through analyzing the aerodynamic experiments and the computational fluid dynamic (CFD) simulation of intake grille, it is found that the aerodynamic performance of the optimized grille is better than that of the original. Therefore, this aerodynamic optimization method is feasible to improve the aerodynamic performance of intake grille.