High-fidelity simulations and low-order aeroacoustic modeling of engine test cells

发动机测试单元的高保真模拟和低阶气动声学建模

• 批准号: 531362-2018
• 负责人: Hickey, JeanPierre
• 金额: $ 2.11万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=683110
• 关键词: fidelity; simulations; low; order; aeroacoustic

The testing and certification of gas turbines demand the well-controlled environment provided by an engine test cell. MDS Aero develops and supplies test facilities and test systems for aviation, industrial and marine gas turbines. In many of these systems, the flow generated noise of the gas turbine and the characteristic frequencies of the system enter into a resonant coupling, with possible deleterious effects. This aeroacoustic coupling has a direct impact on the quality and reliability of the engine testing and certification. To predict the onset and mitigate the aeroacoustic coupling in engine test cells, we seek to use high-fidelity numerical tools in order to understand the physical characteristics of the aeroacoustic noise generation and coupling in order to inform the development of a low-order aeroacoustic model. As part of this effort, the Multi-Physics Interaction lab at the University of Waterloo will numerically study the acoustic noise generation of a partially confined jet undergoing a re-acceleration through the ejection system. The researchers will use the knowledge gleaned from the simulations to improve on a low-order aeroacoustic model to predict resonant acoustic modes resulting from the geometry and compound chocking in the flow. This model will allow the company to predict to within +/-20 % the frequency and amplitude of the coupling phenomena. This NSERC-funded project will permit the training and mentoring of three highly-qualified personnel for careers in science and technology within Canada.

燃气轮机的测试和认证需要发动机测试单元提供良好的受控环境。MDS Aero为航空、工业和船舶燃气轮机开发和提供测试设施和测试系统。在许多这样的系统中，燃气涡轮机的流动产生的噪声和系统的特征频率进入共振耦合，具有可能的有害影响。 这种气动声学耦合直接影响发动机测试和认证的质量和可靠性。 为了预测发动机试验单元中的气动声学耦合的发生和减轻，我们寻求使用高保真数值工具，以了解气动声学噪声产生和耦合的物理特性，以便为低阶气动声学模型的开发提供信息。 作为这项工作的一部分，滑铁卢大学的多物理相互作用实验室将数值研究通过弹射系统进行再加速的部分受限射流的声学噪声产生。研究人员将利用从模拟中收集到的知识来改进低阶航空声学模型，以预测由流动中的几何形状和复合阻塞引起的共振声学模式。该模型将允许公司预测耦合现象的频率和振幅在+/-20%以内。这个由NSERC资助的项目将允许培训和指导三名高素质的人员在加拿大的科学和技术事业。