Mathematical Modelling and Computational Engineering Prediction of Turbomachinery Broadband Noise

涡轮机械宽带噪声的数学建模和计算工程预测

• 批准号: EP/D035031/1
• 负责人: Nigel Peake
• 金额: $ 23.91万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD035031%2F1
• 关键词: Mathematical; Modelling; Computational; Engineering; Prediction

The number of people wanting to fly increases year after year, leading to serious noise pollution on the ground. To solve this problem we need to better understand the sources of this noise inside the aircraft engines, and to be able to predict the noise while the engine is still being designed. This proposal is concerned with one of the biggest noise sources, which is the interaction between the wakes from the rotating fan and the downstream Outlet Guide Vanes (OGVs).Our key aim is to use a mixture of ideas from mathematical analysis and Computational Fluid Dynamics (CFD) to produce a CFD-based prediction method. Stages in this research will necessarily include: study of the distortion of turbulence shed from the fan by the intervening swirling flow, including comparison between mathematically-based models and large-scale computation; investigation of the noise generation by the interaction between these distorted eddies and the OGVs; and the propagation of the resulting noise upstream and downstream in the machine. We will work closely with the UK's leading aeroengine manufacturer, Rolls-Royce, and in particular much use will be made of the Companies' main computer code. We aim to produce an accurate prediction method and physical insight, which can later be applied in engine design.

想要乘坐飞机的人数逐年增加，导致地面噪音污染严重。为了解决这个问题，我们需要更好地了解飞机发动机内部噪音的来源，并能够在发动机仍在设计时预测噪音。该方案涉及最大的噪声源之一，即旋转风扇的尾迹与下游出口导向叶片(OGV)之间的相互作用。我们的主要目标是结合数学分析和计算流体动力学(CFD)的思想来产生一种基于CFD的预测方法。这项研究的各个阶段必须包括：研究中间的旋流对风机喷出的湍流的扭曲，包括基于数学模型和大规模计算之间的比较；调查这些扭曲的涡流和OGV之间的相互作用产生的噪声；以及由此产生的噪声在机器的上下游传播。我们将与英国领先的航空发动机制造商劳斯莱斯密切合作，特别是将大量使用两家公司的主要计算机代码。我们的目标是产生一种准确的预测方法和物理洞察力，以后可以应用于发动机设计。