| 基于BP神经网络和遗传算法对再循环风扇性能参数的确定 |
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| 引用本文： | 郑萌,赵竞全,朱磊.基于BP神经网络和遗传算法对再循环风扇性能参数的确定[J].飞机设计,2014(5):7-10. |
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| 作者姓名： | 郑萌 赵竞全 朱磊 |
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| 作者单位： | 北京航空航天大学航空科学与工程学院,北京100191 |
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| 摘 要： | 环控系统再循环风扇主要采用轴流风机。全压效率是衡量风机性能的重要指标,轮毂比和叶片数是影响风机全压效率的重要参数。因此,为了使全压效率最大,需要确定最佳的轮毂比和叶片数。利用ANSYS软件中的CFX模块,对不同轮毂比和叶片数下的风机模型进行计算,得到这些风机模型的性能曲线和全压效率。再通过神经网络和遗传算法,对这些风机模型的全压效率进行寻优计算,最终确定风机最佳的轮毂比和叶片数。
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| 关 键 词： | 轴流风机 轮毂比 叶片数 神经网络 遗传算法 |
The Determination of Performance Parameters of the Recirculation Fan Based on BP Neural Network and Genetic Arithmetic |
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| ZHENG Meng,ZHAO Jing-quan,ZHU Lei.The Determination of Performance Parameters of the Recirculation Fan Based on BP Neural Network and Genetic Arithmetic[J].Aircraft Design,2014(5):7-10. |
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| Authors: | ZHENG Meng ZHAO Jing-quan ZHU Lei |
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| Institution: | ( School of Aeronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China ) |
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| Abstract: | The form of recirculation fan in a ring control system is the axial flow fan. Total efficiency is the important indicators of fan performance. The hub ratio and leaf number is the important parameters influencing the total efficiency. Therefore, in order to make the maximum total pressure efficiency, the hub ratio and leaf number need to be determined. By using CFX, under different hub ratio and leaf number of fan models are calculated and the performance curve and total pressure efficiency in different hub ratio and leaf number of fan are got. By using neural network and genetic algorithm, the fan models are calculated, the best fan hub ratio and leaf number are got. |
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| Keywords: | axial flow fan hub ratio leaf number BP neural network genetic algorithm |
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