Precise Optimization Method of Transonic Compressor Airfoil Based on POD and Multilayer Perceptron
The development trend of precise design for compressor airfoil requires higher demand for optimization meth-ods,and the performance-oriented optimization method is difficult to achieve the precise design requirements for future high-performance compressors.Therefore,a surrogate model combines the proper orthogonal decomposition(POD)and multilayer perceptron(MLP)is proposed,which can obtain the flow characteristics of airfoils rapidly.The method first us-es the Latin hypercube sampling to obtain the sample airfoils,and calculates the surface isentropic Mach number distribu-tion through CFD,which is used as sample data for training MLP after POD processed.After that,a complete optimiza-tion system is constructed by combining POD-MLP and revised artificial bee colony algorithm.The final step is to use the system to select the optimal airfoil that comply with the surface isentropic Mach number distribution constraints.Based on the method,a certain transonic compressor airfoil at the design operating condition is optimized.The optimization re-sult shows the method can take into account the off-design operating conditions,and the surface isentropic Mach number distribution of optimized airfoil reaches the given constraints.The optimal airfoil performances at zero and positive inci-dence angles effectively improve,and the total pressure loss coefficient drops by 14.1％while the available incidence an-gle range widens by 4.5％.
万方数据
维普
