Optimization Design of Underwater Turbine Engine in Design Condition

To improve economic performance of a new type underwater turbine engine in design condition, a design model of the turbine engine is established, and maximum inner efficiency in design condition is taken as the objective function. By using the genetic algorithm, optimization match of four parameters of the turbine engine, i.e., working back pressure of turbine engine, mean diameter of turbine’s moving cascade, air-in inclination angle and divergent angle of nozzle, is analyzed with focus on their effects on inner efficiency. Results show that the inner efficiency in design condition is most sensitive to the working back pressure, but is least sensitive to the divergent angle of nozzle. After optimization, the inner efficiency is improved by 6.24%, and the working substance consumption per second is decreased by 5.87%, thus the economic performance of the engine is improved obviously. The established model and its optimization design may provide initial model and data for thermodynamic simulation of turbine engine in off-design condition.