| Citation: | HUANG Song, ZHAO Shengfeng, YANG Chengwu, et al. Aggressive GTF booster aerodynamic design with multi-level optimization method[J]. Journal of Aerospace Power, 2023, 38（5）：1226-1238 doi: 10.13224/j.cnki.jasp.20210286
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To overcome three major problems of high-dimensional, time-consuming, and black box in the optimization design of aggressive geared turbofan (GTF) engine booster, a set of accurate, efficient and reliable optimization design methods were developed. Using multi-objective particle swarm optimization combined with descending simplex algorithm, it had the advantages of fewer optimization variables, fast solving speed, and strong optimization ability. After optimized design, the peak efficiency and stall margin of the GTF booster were increased by 0.27% and 1.31% at 100% design rotational speed, respectively. Compared with the prototype of the highly loaded stator using composite sweep and lean, the optimized configuration of the highly loaded stator further changed the blade profile characteristics and three-dimensional stacking rules of the entire span. The flow separation from 20% of the span to the tip of the blade moved downstream, reducing the radial migration from the tip to the hub. It reduced the range of the low-speed recirculation region near the trailing edge of the suction surface, delayed the stall of the GTF booster, and improved the efficiency of the GTF booster.
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