• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2004, Vol. 40 ›› Issue (7): 166-170.

• Article • Previous Articles     Next Articles

EFFICIENCY OPTIMIZATION FOR AN AXIAL FLOW STEAM TURBINE STAGE USING GENETIC ALGORITHM

Qin Xiaoyong;Chen Lingen;Sun Fengrui   

  1. Vessel and Power Engineering College, Naval University of Engineering
  • Published:2004-07-15

Abstract: Based on the genetic optimization theory, a design method for the flow path of an axial flow steam turbine stage is presented. In the method, the maximum efficiency of the stage is taken as the objective, a series of functions are taken as constraints and the optimal geometric and aerodynamic parameters are solved using genetic algorithm process. The efficiency and constraints evaluation are performed using a program for the thermodynamic calculation of steam turbine stages in the design condition. The fitness of each individual is composed by the turbine efficiency and a penalty function containing the constraints. The proposed method is applied to the design of a real steam turbine stage. The results show that the new method successfully searched out the optimal geometric and aerodynamic parameters of the stage had maximum efficiency.

Key words: Genetic algorithm, Optimum design, Steam turbine, Through flow section

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