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Turbine Tone Noise Reduction via Optimized Acoustic Coupling

机译:通过优化的声学耦合减少涡轮机色调降噪

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This work aims to demonstrate the potential of the Optimized Acoustic Coupling (OAC) technique via numerical predictions. OAC consists of combining two noise reduction practices, Acoustic Coupling (AC) and Optimized Vane Shape (OVS), with additional benefits than optimized isolatedly. AC and OVS are firstly examined as separated concepts with measurements of two state-of-the art, multi-stage, cold-flow, turbine rigs. The vehicles are noise tested in CTA, located in Bilbao (Spain), and funded through ENOVAL and Clean Sky European Programs. Measured AC and OVS benefits are compared with the numerical method results for assessing predictability. Additional benefits of combining these two technologies into OAC are assessed via numerical predictions and the physical mechanisms behind are identified.
机译:该工作旨在通过数值预测来展示优化的声学耦合(OAC)技术的潜力。 OAC包括组合两个降噪实践,声学耦合(AC)和优化的叶片形状(OVS),而不是孤立优化的额外优势。 首先将AC和OVS作为分离的概念进行了分离的概念,其测量是两个最先进的,多级,冷流,涡轮钻机。 该车辆在CTA测试的噪音,位于毕尔巴鄂(西班牙),并通过Endoval和Clean Sky Europe欧洲计划提供资金。 将测量的AC和OVS益处与评估可预测性的数值方法进行比较。 通过数值预测评估将这两种技术结合到OAC中的其他优势,并确定了后面的物理机制。

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