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Numerical Predictions of Exhaust Noise Emissions from Internal-Mixing Nozzles

机译:内部混合喷嘴排气噪声排放的数值预测

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The Lattice Boltzmann Method (LBM) was used to predict the sound created by typical internal mixing nozzles with forced mixers. Flow simulations were performed to study the transient compressible flow through lobed mixers within the internal mixing nozzles of turbofan engines. The Reynolds number of the flow based on the nozzle diameter and centerline flow velocity was 1.36×10~6. Both cold and hot flow mixing conditions were investigated. A specific thermal model for LBM was used for the heated set points. The Results confirm the accuracy of the LBM for time-resolved simulations of dual-stream nozzles with complex-shaped mixers and the associated jet plume. The mean flow variables such as the turbulence intensity, streamwise velocity and temperature profiles were obtained and trends were qualitatively in agreement with the reported experimental results. The Overall sound pressure level trends showed a significant noise reduction potential in different mixer designs. PowerFLOW 4.3d solver was used for the simulations.
机译:格子波尔兹曼法(LBM)用于预测由带有强制混合器的典型内部混合喷嘴产生的声音。进行流动模拟以研究通过涡轮风扇发动机内部混合喷嘴内的叶片混合器的瞬时可压缩流动。基于喷嘴直径和中心线流速的雷诺数为1.36×10〜6。研究了冷流混合条件和热流混合条件。 LBM的特定热模型用于加热设定点。结果证实了LBM在带有复杂形状混合器和相关喷流的双流喷嘴的时间分辨模拟中的准确性。获得了湍流强度,水流速度和温度分布等平均流量变量,并且定性趋势与所报道的实验结果相吻合。在不同的混音器设计中,总体声压级趋势显示出显着的降噪潜力。 PowerFLOW 4.3d求解器用于仿真。

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