【作者】 郭家良；

【导师】 温卫东；

【作者基本信息】 南京航空航天大学 ， 航空宇航推进理论与工程， 2010， 硕士

【摘要】 浮动壁结构的燃烧室可以有效改善火焰筒壁温分布和提高冷却效果,是提高航空发动机推重比的一项重要技术。本文将遗传算法与代理模型技术相结合,建立了代理模型-遗传优化方法,并将该方法应用于浮动壁壁温优化分析,得到一种具有冷却效果好、壁温分布平稳的最优浮动壁结构。与此同时,本文开展了几何参数对浮动壁壁温分布影响的研究。本文研究工作主要包括:1.开展浮动壁壁温的数值仿真计算技术研究。通过对浮动壁结构的研究,建立了浮动壁式火焰筒的参数化几何模型;实现了高质量结构化网格的自动划分;选择整场求解的方法以及适当的简化模型求解浮动壁壁温并实现浮动壁壁温数值计算的自动运行;并通过与现有实验结果的对比分析,验证本文数值仿真研究方法的正确性。2.开展浮动壁壁温优化的优化方法研究。建立了浮动壁壁温优化模型;将代理模型与标准遗传算法结合,建立一种适用于浮动壁壁温优化的代理模型-遗传优化方法;以ISIGHT软件为平台,实现浮动壁壁温优化的优化流程,并且通过算例验证本文优化方法在浮动壁壁温优化中的适用性。3.在给定气动参数下,对六种浮动壁结构方案进行壁温优化分析,得到最优浮动壁结构;同时,进一步分析研究了孔间距、孔径、冲击高度、气膜孔角度等几何变量对浮动壁壁温分布的影响规律。更多还原

【Abstract】 The combustor with floatwall can effectively improve the wall temperature’s distribution and cooling effect.It’s an important technology for aero-engine to improve its power-to-weight. In this paper, genetic algorithms and approximate model are combined to establish a approximate model-genetic optimization method, and the method is applied to optimize the floatwall’s wall temperature, obtained the floatwall structure with a better cooling effect and optimal wall temperature distribution. At the same time, systematic study about the geometric parameters on the floatwall’s wall temperature distribution of impact n was done. This paper study work mainly included the following:1.Carry out the numerical simulation technology research about the floatwall’s wall temperature. By the studies about the floatwall structure, the parametric geometric model of the combustor with floatwall was established;the high quality structured grid was achieved automaticly; Select the entire field calculation methods and a appropriate simplified model for solving the floatwall’s wall temperature,and the floatwall’s wall temperature values was calculated automatically; by comparison with existing experimental results, the results show that computing precision and efficiency of the numerical simulation model are good.2.In order to complete the the optimization about the floatwall’s wall temperature more effectively, an optimization method that combines approximate model and genetic algorithm was put forward.The optimization results show that this method not only computing high efficiency and convergency,but also the relationship between the objective function and design variable can be studied based on the data obtained from the experimental design points.3.Under the certain conditions of aerodynamic parameters, respectively for the numerical simulation model about the floatwall with different hole spacing and angel of film cooling holes ,the optimization work about the wall tempreture was done.The optimal geometric parameters of the floating wall was obtained;at the same time, systematic study about the geometric parameters on the objective function was done.更多还原