Fan Stage Design and Performance Optimization for Low Specific Thrust Turbofans

IF 1.3 Q2 ENGINEERING, AEROSPACE International Journal of Turbomachinery, Propulsion and Power Pub Date : 2023-12-04 DOI:10.3390/ijtpp8040053
Oliver Sjögren, T. Grönstedt, A. Lundbladh, C. Xisto
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Abstract

In modern turbofan engines, the bypass section of the fan stage alone provides the majority of the total thrust required in cruise, and the size of the fan has a considerable effect on the overall engine weight and nacelle drag. Thrust requirements in different parts of the flight envelope must also be satisfied together with sufficient margins towards stalling. An accurate description of the interdependencies between the relevant performance and design attributes of the fan stage alone—such as efficiency, surge margin, fan-face Mach number, stage loading, flow coefficient, and aspect ratio—are therefore necessary to estimate system-level objectives such as mission fuel burn and the direct operating cost with enough confidence during the conceptual design phase. The contribution of this study is to apply a parametric optimization approach to the conceptual design of fan stages for low specific thrust turbofans based on the streamline curvature method. Trade-offs between fan stage attributes for Pareto-optimal solutions are modeled by training Kriging surrogate models on the results from the parametric optimization. A case study is provided in the end to demonstrate the potential implications of including a higher level of fan-stage parameter interdependency in an engine systems model. Results implied that being able to predict the rotor solidity required to maintain a given average blade loading—in addition to stage efficiency—is of significant importance when it comes to evaluating the trade-off between engine weight and thrust-specific fuel consumption.
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低比推力涡轮风扇的风扇级设计和性能优化
在现代涡扇发动机中,仅风扇级的旁路部分就提供了巡航所需的大部分总推力,风扇的大小对发动机的整体重量和机舱阻力有相当大的影响。飞行包线不同部分的推力要求也必须满足,同时还要有足够的失速余量。因此,在概念设计阶段,对风扇级的相关性能和设计属性(如效率、喘振裕度、风扇面马赫数、级负载、流量系数和长径比)之间的相互依赖关系的准确描述对于估计系统级目标(如任务燃料燃烧和直接运行成本)是必要的,并且有足够的信心。本研究的贡献在于将基于流线曲率法的参数化优化方法应用于低比推力涡扇风扇级的概念设计。通过在参数优化结果的基础上训练Kriging代理模型,对帕累托最优解的风机级属性之间的权衡进行建模。最后提供了一个案例研究,以证明在发动机系统模型中包含更高水平的风扇级参数相互依赖性的潜在含义。结果表明,在评估发动机重量和推力特定燃料消耗之间的权衡时,能够预测维持给定平均叶片负荷所需的转子坚固度——除了级效率之外——是非常重要的。
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来源期刊
CiteScore
2.30
自引率
21.40%
发文量
29
审稿时长
11 weeks
期刊最新文献
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