Hybrid optimization of curvature continuous stacking line on the highly loaded diffuser cascade

Q3 Earth and Planetary Sciences Aerospace Systems Pub Date : 2024-01-04 DOI:10.1007/s42401-023-00265-y
Ke Yao, Xingyi Zhang, Xiaoqing Qiang
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引用次数: 0

Abstract

The compressor is a critical component of aero-engines. In order to improve the performance, the compressor ratio of single-stage compressor is getting higher and higher, which will lead to high back pressure gradient and losses. To solve this problem, there are many techniques applied, such as cantilevered stator, tip clearance and slotted airfoils. However, traditional design methods are experience-dependent and time-consuming. This paper proposes a hybrid optimization method to optimize the stacking line of compressor cascade and reduce total pressure loss on both design and off-design conditions. The approach employs various surrogate models and a multi-infill strategy, outperforming traditional optimization methods using a single surrogate model and a single infilling strategy. The results show that compared to the original blade, the optimized blade has a 34.6\(\%\) lower mass-averaged total pressure loss at the design point, while the static pressure ratio increases by 2.43\(\%\). This paper innovatively combines deep learning-based surrogate models, the hybrid optimization algorithm, and the curvature-based blade shaping method to optimize the blade shape, shorten the blade design time, and ultimately reduce the losses significantly.

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在高负荷扩散器级联上对曲率连续堆叠线进行混合优化
压缩机是航空发动机的关键部件。为了提高性能,单级压缩机的压缩比越来越高,这将导致背压梯度和损耗增大。为解决这一问题,有许多技术被应用,如悬臂定子、顶端间隙和开槽翼面等。然而,传统的设计方法依赖于经验,且耗时较长。本文提出了一种混合优化方法,用于优化压缩机级联的叠加线,减少设计和非设计工况下的总压力损失。该方法采用了多种代用模型和多重填充策略,优于使用单一代用模型和单一填充策略的传统优化方法。结果表明,与原始叶片相比,优化后的叶片在设计点的质量平均总压力损失降低了34.6%,而静压比增加了2.43%。本文创新性地将基于深度学习的代用模型、混合优化算法和基于曲率的叶片整形方法结合起来,优化了叶片形状,缩短了叶片设计时间,最终显著降低了损耗。
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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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