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Axial Flow Turbine Optimization Study by ali is a document available to read on EtoBox.

The document describes the optimization of the mean line design of an axial flow turbine using a genetic algorithm. The genetic algorithm is applied to optimize the turbine design for high efficiency while considering factors like aerodynamic performance, creep life, weight, cooling requirements, and structural aspects. The algorithm evolves a population of potential turbine designs over successive generations towards an optimal solution. Key parameters of the turbine mean line design that are optimized inc

Author

ali

Language

EN