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Compressed dynamic mode decomposition for the analysis of centrifugal compressor volute

机译:压缩动态模式分解用于离心压缩机蜗壳分析

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The compressed dynamic mode decomposition (compressed DMD) is used to analysis the unsteady characteristics of a centrifugal compressor. Firstly, to extract the unsteady flow structures of the volute under the mild surge condition, dynamic mode decomposition (DMD) method is applied to the flow field snapshots. The results indicate that the characteristic frequencies relating to the blade passing frequencies (BPFs) and corresponding modes are captured. Besides, the perturbation oscillating with the characteristic frequency (233.5 Hz), which is generated by the non-synchronic unsteady flow, is also obtained accurately. The non-synchronic unsteady flow is vividly shown by the reconstruction of the mild surge mode. Ten, the unsteady flow of the volute is also analyzed by the compressed DMD method, which is performed on the much compressed datasets and thus saves the calculation time. The dominant characteristic frequencies and corresponding modes can also be extracted accurately by the compressed DMD method when adopting an appropriate compression ratio. The compression ratio has an important influence on the results of the compressed DMD method. Considering the dominant frequencies and the energy ratio spectrum, a conservative recommendation of the compression ratio is 1% in this case. The energy ratio scaling method performs better than the amplitude scaling method.
机译:压缩动态模式分解(压缩DMD)用于分析离心压缩机的非稳态特性。首先,为了提取蜗壳在缓和波动条件下的非稳态流动结构,将动态模式分解(DMD)方法应用于流场快照。结果表明,捕获了与叶片通过频率(BPF)有关的特征频率和相应的模式。此外,还可以精确地获得由非同步非稳态流产生的以特征频率(233.5 Hz)振荡的扰动。通过缓和喘振模式的重构生动地显示了非同步非稳态流动。十,蜗壳的非定常流动也通过压缩DMD方法进行分析,该方法在压缩程度很高的数据集上执行,从而节省了计算时间。当采用适当的压缩比时,也可以通过压缩DMD方法准确地提取主要特征频率和相应的模式。压缩比对压缩DMD方法的结果有重要影响。考虑到主频和能量比谱,在这种情况下,压缩比的保守建议是1%。能量比例缩放方法的性能优于幅度缩放方法。

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