Rapid prediction method of compressor characteristics with coupling direct and inverse problems

A rapid method of compressor characteristics prediction with coupling inverse design and direct problems was proposed.According to one-dimensional meanline design theory of the compressor，the aerodynamics layout of the compressor was quickly obtained by solving the inverse problem to satisfy the design targets such as mass flow rate and pressure ratio.Then，by adopting the models of loss and deviation angle at off-design conditions，the compressor characteristics of the whole working condition were obtained by solving the direct problem.The aerodynamics layout was adjusted according to the deviation angle between the predicted characteristics and the targets，and the reasonable and rapid prediction of the compressor characteristics was realized through the coupling of inverse and direct problems.Moreover，a parameter calibration method of compressor loss and deviation angle model based on genetic algorithm was created.This method used optimization theory and experiment data of compressors to improve the traditional models of loss and deviation angle for enhancing the prediction accuracy of compressor characteristics.Experimental data of three compressors were used for calibration and validation of the proposal method.The results showed that the efficiency prediction errors at design and off-design conditions were 0.23% and 1.34%，which satisfied the requirement in the stage of requirement analysis and concept design for aero-engine.