西北工业大学动力与能源学院,西安,710129
网络首发:2017-05-10,
纸质出版:2017
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董玮 1, 楚武利 1, 2, 等. 垫升轴流风扇的静叶优化设计及内部流动机理数值研究[J]. 西安交通大学学报, 2017,51(5):156-164.
Numerical Research on Optimization and Flow Mechanism in Lift Fan Stator[J]. 2017, 51(5): 156-164.
董玮 1, 楚武利 1, 2, 等. 垫升轴流风扇的静叶优化设计及内部流动机理数值研究[J]. 西安交通大学学报, 2017,51(5):156-164. DOI: 10.7652/xjtuxb201705022.
Numerical Research on Optimization and Flow Mechanism in Lift Fan Stator[J]. 2017, 51(5): 156-164. DOI: 10.7652/xjtuxb201705022.
以气垫船大型垫升轴流风扇为研究对象
在保证网格无关性及总性能数值结果与试验结果相吻合的基础上
结合人工神经网络技术及遗传算法对静叶中弧线开展优化设计
分析静叶叶型及风扇总性能变化情况。在流量系数分别为0.28、0.35、0.45的3种工况点
研究了原始静叶及优化后静叶通道内部流动机理
揭示了影响静叶内部流动稳定性的原因
由此提出了减小静叶通道内流动损失的方法。研究结果表明:通过优化静叶几何进、出口角
即减小攻角、略微增大落后角
在主要流量工况范围内可抑制通道内的二次流流动
在保证压力不降的情况下提升效率、降低功率
其中设计流量工况点效率提升达7%以上; 在静叶上
通过减小几何进口角、增大几何出口角
可以起到调整叶片表面载荷分布、降低流动损失、提高气体通流能力的作用。该结果可为研究叶轮机械内部复杂流动提供参考。
Aiming at a large-scale lift axial flow fan
the optimization design of blade camber curves is implemented with artificial neural network and genetic algorithm for the axial flow fan stator. The used grid is proven to be independent and the numerical results of fan performance match the test results well. The performance and stator blade profiles of the fan are analyzed for the original and optimized situations. As the mass flow coefficient is 0.28
0.35 and 0.45
the flow mechanism is discussed to demonstrate the effect on stability
hence a method for reducing flow loss in the stator is proposed. The results show that reducing the attack angle and slightly increasing backward angle can suppress the secondary flow within the flow channel under main operating conditions by optimizing inlet and outlet angles of the stator. The optimized structure is able to maintain the pressure rise
improve the efficiency and reduce the power. At the design point
the efficiency is increased by over 7%. For the stator blade
reducing the inlet angle and increasing the outlet angle can adjust load distributions on the blade surface
reduce flow loss and enhance gas flow capacity.
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