首页|钝头前缘加工不确定性对亚声速压气机叶型气动性能的影响

钝头前缘加工不确定性对亚声速压气机叶型气动性能的影响

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为对压气机叶片前缘的精细化设计与制造提供有力参考,以某高亚声速压气机叶型为研究对象,基于非嵌入式多项式混沌方法,定量评估了钝头前缘加工不确定性对叶型气动性能的影响.结果表明:在全工况范围内,钝头前缘加工误差恶化了叶型的平均性能;在7°攻角下,叶型气动性能的波动幅度最大.在设计攻角下,钝头前缘的加工不确定性导致叶型平均损失增加18.7%,平均静压比降低1.2%.在7°攻角下,叶型总压损失系数的波动幅度是设计攻角下的4倍.根据叶型气动参数对钝头前缘加工误差的敏感性分析结果,发现两者呈现近线性关系.通过叶型流场的不确定分析可知,钝头前缘加工误差对前缘绕流影响显著,进而导致叶型吸力侧损失和尾迹掺混损失增大.分析了不同前缘加工公差下钝头前缘对叶型的不确定性影响,确定了前缘抛光的加工公差范围.
Influence of manufacturing uncertainty of blunt leading edge on aerodynamic performance of compressor blade
In order to provide a strong reference for the fine design and manufacturing of leading edge of the compressor blades,a high subsonic compressor blade was used as the research object.Based on the non-intrusive polynomial chaos method,the uncertainty impacts of the machining error of blunt leading edge on the blade performance were quantitatively evaluated.Results showed that the blunt leading edge deteriorated the mean performance of the blade in the full range of working conditions.Under incidence of 7°,the fluctuation range of the blade performance was the largest.Under the design incidence,the machining uncertainty of the blunt leading edge caused the increase of mean loss by 18.7%and the decrease of mean pressure ratio by 1.2%.Under incidence of 7°,the fluctuation range of the total pressure loss coefficient of the blade was 4 times that of the design incidence condition.According to the results of sensitivity analysis,it can be found that the aerodynamic parameters and manufacturing error of blunt leading edge showed an approximate linear relationship.Through the uncertainty analysis of the blade flow field,the manufacturing error of blunt leading edge had a significant effect on the flow conditions near leading edge,which led to the increase of suction side loss and wake mixing loss.The influence of the blunt leading edge on the blade under different leading edge machining tolerances was analyzed,and the machining tolerance of the leading edge polishing was determined.

compressorleading edgemanufacturing erroruncertainty quantificationnon-intrusive polynomial chaos

王浩浩、高丽敏、杨光、黄萍、唐凯

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西北工业大学动力与能源学院,西安 710072

西北工业大学翼型、叶栅国家级重点实验室,西安 710072

中国航发四川燃气涡轮研究院,成都 610500

压气机 前缘 加工误差 不确定性量化 非嵌入混沌多项式

国家自然科学基金面上项目西北工业大学博创基金

51790512CX2021075

2024

航空动力学报
中国航空学会

航空动力学报

CSTPCD北大核心
影响因子:0.59
ISSN:1000-8055
年,卷(期):2024.39(2)
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