非均匀入流中螺旋桨空化噪声缓变分量数值预报及特征分析  

Numerical prediction and feature analysis of the slow-varying component of propeller cavitation noise in non-uniform inflow

作　　者：曹红丽[1] 方世良[1] 朱志峰[2] 

机构地区：[1]东南大学水声信号处理教育部重点实验室,南京210096 [2]安徽工业大学电气学院,马鞍山243002

出　　处：《高技术通讯》2014年第3期296-304,共9页Chinese High Technology Letters

基　　金：国家重点基础研究发展计划(6131222);国家自然科学基金(11104029)资助项目

摘　　要：将基于黏性多相流理论的计算流体力学(CFD)方法和球形空泡辐射噪声理论相结合,用于非均匀入流中螺旋桨瞬态空化及其噪声缓变分量的数值预报并进行特征分析。利用实验数据验证均匀入流和非均匀入流条件下螺旋桨水动力性能参数和空化周期形态。根据周期性空化面积的数值解推出空化特征长度来求取空化体积的二阶导,依据球形空泡辐射的噪声声压公式分别计算在相同非均匀入流中,不同转速的空化噪声的缓变分量部分,并在频域上与实验结果进行对比,验证空化噪声缓变分量预报的准确性;最后计算不同工况下、不同侧斜角、不同叶片数以及不同尺寸的螺旋桨空化噪声的缓变分量部分,并分析螺旋桨空化噪声缓变分量的物理特征。研究分析发现:该方法能准确预报螺旋桨空化噪声的叶频;叶频及二倍叶频的幅值与进速系数、非均匀入流、叶片数以及尺寸有关,与侧斜角无关。这些特征分析对目标识别具有一定的指导意义。Aiming at propeller cavitation noise prediction, a hybrid algorithm combining the computational fluid dynamics （CFD） method based on the viscous muhiphase inflow theory with the pulsating spherical bubble radiated noise the- ory was proposed. By using the algorithm, the prediction of the propeller transient cavitation in non-uniform inflow and the slow-varying component of the cavitation noise were studied, and the feature analysis was conducted. Firstly, the propeller hydrodynamic performance parameters and the periodic pattern of cavity in uniform inflow and in non- uniform flow were verified by experimental data. The second derivative of cavity volume was computed according to the cavity characteristic length deduced by the numerical solution of the periodic cavitation area. Then, the slow-var- ying component of the cavity noise in the same non-uniform inflow, different rotation speeds were computed by the pressure formula of pulsating spherical bubble radiation. The computation method of propeller cavity noise was tested by the experimental results in frequency domain. Finally, the slow-varying component of the propeller cavitation noise under the condition of different working condition, different advance coefficient, different cavitation index, dif- ferent skew angle, different blade number, and different propeller size. The physical features of the cavitation noise were researched, and the results showed that the method predicted the blade frequency accurately, and the amplitude of the blade frequency and the two time blade frequency was relative to the advance coefficient, non-uniform inflow, blade numbers, skew angle and propeller size. The feature analysis had some guidance significance to the target identification.

关 键 词：非均入匀流 空化噪声 缓变分量 特征分析 

分 类 号：O359[理学—流体力学]