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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
CLC No: TK262
全国优秀博士学位论文作者专项基金资助项目(200136). Received 20030320, received in revised
form 20030930
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