OPTIMIZATION OF A MULTISTAGE AXIAL COMPRESSOR. STOCHASTIC APPROACH.
ASME, 92-GT-163, 1992.
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.