Optimization of a Multistage Axial Compressor Stochastic Approach

Abstract

A procedure of a multistage axial compressor (MAC) parameters optimization in stochastic setting has been offered. The procedure allows to obtain a stable solution from the point of view of its practical realization. A concept of robustness (stability) of turbomachine optimum design has been introduced, and the criteria of stability degree evaluation of complex technical objects optimum solution have been also suggested. With reference to determining optimum laws to control the rows of MAC, modeled in 2-D axisymmetric setting, there are presented the results of the comparative analysis of the solutions obtained both with using the traditional (deterministic) approach and the proposed stochastic setting, which allows to increase the possibility to realize the technical solution by more than two times. Analysis of the results shows that the value of optimization criterion obtained in stochastic setting doesn’t practically worsen the value of optimization criterion obtained in deterministic approach.