Aerodynamic Optimization Design of Compressor Blades Based on Improved Artificial Bee Colony Algorithm

摘要

The Improved Artificial Bee Colony (IABC) algorithm was developed by improving the exploration ways of employed bees and onlookers bees in Standard Artificial Bee Colony(ABC) algorithm. This IABC algorithm achieved better global optimization solutions with higher convergence rate and was applied on the aerodynamic optimization of a single stage transonic axial compressor Stage35. The optimization variables included sweep, lean, Re-camber at the leading edge and the trailing edge along six radial sections of the rotor blade and stator blade. The relative change in flow rate and pressure ratio within 0.5% were kept as a constraint and enhancing the adiabatic efficiency was the optimization goal. The results were as follows: at the designed speed, the optimized adiabatic efficiency at designed point increased by 0.83% and the average adiabatic efficiency over whole range of conditions increased by 2.0%, the surge margin increased by 1.0% under the condition of the same mass flow and pressure ratio, demonstrating the effectiveness of the optimization algorithm in axial compressor design.