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机构地区:[1]西北工业大学动力与能源学院,西安710072
出 处:《航空发动机》2012年第6期1-4,19,共5页Aeroengine
基 金:国家自然科学基金(50976093)资助
摘 要:将微分进化算法和流场数值模拟技术相结合,建立了1套吸附式压气机叶型智能优化系统。此系统可以对进口亚声、超声的吸附式压气机叶型进行优化。通过准3维叶栅通道计算程序-MISES进行流场数值模拟,评估叶型气动性能。选取吸附式叶型最重要的2个变量,吸气量和吸气位置作为优化参数,以叶型的损失系数作为优化目标,自动寻优找到该叶型的最佳吸气量和对应的吸气位置。数值计算结果表明:优化后的吸附式叶型的气动性能有了明显的提高。An intelligent optimization system for aspirated compressor airfoils was developed, which combined differential evolution algorithm and numerical simulation method of flow field. The inlet subsonic and supersonic aspirated compressor airfoils were optimizedby the system. The flow field was simulated by quasi-three dimensional cascade calculation programme-MISES and the aerodynamic performance was evaluated. The most important suction air flow rate and the suction location were regarded as optimization parameters. The profile loss coefficient were regarded as optimization goal. The best suction location and suction air flow rate for aspirated compressor profiles were automatically searched. The numerical calculation results show that the aerodynamic performance of the optimized aspirated compressor profiles are obviously improved.
关 键 词:吸附式压气机 叶型优化 吸气量 吸气位置 智能优化
分 类 号:V231.3[航空宇航科学与技术—航空宇航推进理论与工程]
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