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吸附式压气机叶型及抽吸方案耦合优化设计
刘 波,李 俊,杨小东,史 磊
(西北工业大学 动力与能源学院,陕西 西安 710072)
摘要:
为了探索吸附式叶型设计特点,研究了一种将叶型和抽吸方案耦合优化的新型吸附式压气机叶型设计方法。该方法利用人工蜂群算法结合准三维叶栅通道计算程序对吸附式叶型进行耦合优化设计。在进口马赫数为0.7,攻角1.9°的设计工况下,将耦合优化得到的优化设计方案与先优化叶型再优化抽吸方案得到的原始设计方案进行了对比分析,并且对耦合优化前后的设计方案均进行了风洞吹风实验,验证了耦合优化设计方法的准确性和实际应用性。研究结果表明:耦合优化设计之后总压损失降低了27%,负荷提高了2%。适当改变叶型前缘半径,可以推迟附面层转捩位置,减小气流的摩擦损失,使附面层流动更为合理。针对本文的设计工况,更均匀的弯度变化会提高吸附式叶型的设计效果。本文在54%相对弦长处并配合0.75%的抽吸量,可以有效地控制叶型分离,降低抽吸所需要的能量。
关键词:  吸附式压气机  耦合优化设计  叶栅吹风实验
DOI:
分类号:V231.3
基金项目:国家自然科学基金重点资助项目(51236006)。
Coupling Optimization Design for Aspirated Compressor Airfoil and Aspirated Scheme
LIU Bo ,LI Jun,YANG Xiao-dong,SHI Lei
(School of Power and Energy,Northwestern Polytechnical University,Xi’an 710072,China )
Abstract:
In order to explore the design characteristics of the aspirated airfoil,a new optimization design method coupling airfoil and aspirated scheme was presented. This method was developed for coupling optimization,which combined Artificial Bee Colony Algorithm(ABC)and quasi-three dimensional cascade calculation programme. The design condition is that inlet Mach number is 0.7 and incidence is 1.9°.In the design condition,comparison and analysis were made between coupling optimized design scheme and original design scheme. And cascade wind tunnel experiment was conducted to demonstrate the optimization effect. Research results show that the coupling optimized design can make the total pressure loss reduce by 27% ,and the load increase by 2%. Appropriate changing blade leading edge radius can delay the boundary layer transition position,reduce the flow friction loss,and make the boundary layer flow more reasonable. In this paper design condition,more uniform load distribution can improve the aspirated airfoil design performance. Aspirated scheme that has suction location in 54% relative chord combined with suction air flow rate of 0.75%,can effectively control boundary layer separation,and reduce the energy output on suction.
Key words:  Aspirated compressor  Coupling optimized design  Cascade wind tunnel experiment