Optimization Design Study on a New Type Underwater Turbine Engine

Abstract:

In order to improve economic performance of a new type underwater turbine engine, objective function with maximizing inner efficiency in design condition is constructed based on establishing design calculation model of single stage impulse turbine engine. By using GA algorithm, optimization match study is finished among four parameters, such as working back pressure of turbine engine, mean diameter of turbine cascade, air-in inclination angle and diffuse angle of nozzle, and whose effect on inner efficiency is studied respectively. Results show that, for the engine studied, inner efficiency has sensitivity to working back pressure, while not to diffuse angle of nozzle. Which has been improved by 6.24% after optimization design in design condition, and working substance consumption per second has been decreased by 5.87% correspondingly, so economic performance of the studied engine has been improved obviously. The established model and its calculation results provide initial model and parameters for thermodynamic simulation for turbine engine in off-design condition.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 292-295
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.292
• Online since: December 2013
• Authors: Fang Fang Zhang, Zhen Shan Zhang, Rui Zhu
• Keywords: Genetic Algorithm (GA), Optimization Design, Turbine Engine, Underwater Vehicle

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