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对轴流压气机叶型流动损失和落后角模型进行了系统归纳与整理,并将其与逐排基元叶片模型相结合,建立了计算多级轴流压气机特性工程方法,并进一步将其与锦标赛式遗传算法相结合,发展了一种新的多级轴流压气机变几何扩稳多目标优化算法,并成功应用于某型8级轴流压气机扩稳分析,取得了明显成效。与单目标优化相比,多目标扩稳调节能明显改善压气机性能,其最大效率提高了近4个百分点,且静叶安装角调节范围也明显减小。
The axial flow compressor flow loss and backward angle model was systematically summarized and combined with the row-by-row primitive blade model to establish a multi-stage axial compressor characteristic engineering method, and further to its In combination with the tournament genetic algorithm, a new multi-objective optimization algorithm for multi-axial axial compressor is developed, which is successfully applied to the expansion analysis of a type of 8-stage axial compressor and has achieved remarkable results. Compared with single-objective optimization, multi-objective expansion stabilization can significantly improve the performance of the compressor, the maximum efficiency increased by nearly 4 percentage points, and vane installation angle adjustment range is also significantly reduced.