水下涡轮发动机设计工况优化设计

李文哲; 张方方

doi:10.11993/j.issn.2096-3920.2018.03.005

水下涡轮发动机设计工况优化设计

doi: 10.11993/j.issn.2096-3920.2018.03.005

海军大连舰艇学院水武与防化系, 辽宁大连, 116018

详细信息

作者简介:
李文哲(1974-), 男, 博士, 副教授, 主要研究方向为反潜武器及作战使用

中图分类号: TJ630.32; U664.13
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- 文章访问数: 756
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- 被引次数: 0
出版历程
- 收稿日期: 2018-03-06
- 修回日期: 2018-04-16
- 刊出日期: 2018-06-30

Optimization Design of Underwater Turbine Engine in Design Condition

Department of Underwater Weapon & Chemical Defense, Dalian Naval Academy, Dalian 116018, China

摘要

摘要: 为提高水下涡轮发动机设计工况经济性能, 在完成涡轮发动机设计建模的基础上, 以发动机设计工况内效率最大为目标函数, 利用遗传算法对涡轮机工作背压、动叶栅平均直径、喷嘴进气倾斜角及其扩张角等4个参数进行优化匹配研究, 并重点针对各个优化参数对内效率的影响开展仿真研究。仿真结果表明, 4个优化参数中, 该型涡轮发动机设计工况内效率对其工作背压最敏感, 而对喷嘴扩张角最不敏感; 优化设计后涡轮机设计工况内效率提高6.24%, 相应工质秒耗量减小5.87%, 发动机经济性能改善明显。文中建立的数学模型及优化设计结果可为涡轮机变工况热力计算提供初始模型及数据参考。
- 水下航行器 /
- 涡轮发动机 /
- 设计工况 /
- 内效率 /
- 优化设计 /
- 遗传算法
Abstract: 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.
- undersea vehicle /
- turbine engine /
- design condition /
- inner efficiency /
- optimization design /
- genetic algorithm

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参考文献(12)

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