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Sound Field Analysis And Simulation For Fluid Machines

机译:流体机械的声场分析与仿真

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摘要

Fluid machines, such as pumps, fans, and internal combustion engines, are widely used in duct systems for air-conditioning, cooling, ventilating, heat releasing, and dust collecting. Vibration and noise will be created when the fluid machine works with fans at various rotating speeds. Noise problems associated with fan installation are a concern in fluid machines. Methods to analyze the sound field and simulation of fan installation are, therefore, important for the design to reduce the noise output from fluid machines. The sound field is simulated by using the boundary element method (BEM), which is a numerical technique to reduce the boundary integral equations using the fundamental solution and Green's transfer functions, for sound field analysis in this paper. For the sound field analysis, the geometry of the fluid machines (the axial fan and centrifugal fan) and the acoustic properties are modeled in Beasy software based on the boundary element method technology. The 1/1 octave frequency band from 63 Hz to 8 kHz ranges are selected on sound field analysis. The sound pressure of the fan and the motor in each octave band are calculated by the parameters of rotating speed, flow volume, horse power and number of blades used. The results show that there is a high level sound pressure inside the housing of the axial fan due to the sound source located there. The higher sound pressure level is observed on both the inlet and outlet. The results for the centrifugal fan are the higher the frequency, the heavier energy that is found to radiate around the sound source.
机译:流体机械,例如泵,风扇和内燃机,被广泛用于空调,冷却,通风,散热和集尘的管道系统中。当流体机械以各种转速与风扇一起工作时,会产生振动和噪音。与风扇安装相关的噪音问题是流体机械中的一个问题。因此,分析声场和模拟风扇安装的方法对于减少流体机械产生的噪声的设计很重要。本文采用边界元法(BEM)对声场进行仿真。边界元法是一种利用基本解和格林传递函数来简化边界积分方程的数值技术,用于声场分析。为了进行声场分析,基于边界元方法技术,在Beasy软件中对流体机械(轴流风扇和离心风扇)的几何形状和声学特性进行建模。在声场分析中选择从63 Hz到8 kHz范围的1/1倍频程频段。风扇和电动机在每个倍频程中的声压由转速,流量,马力和所用叶片数等参数计算得出。结果表明,由于存在声源,因此轴流风扇的壳体内部存在较高的声压。在进口和出口均观察到较高的声压级。离心风机的结果是频率越高,发现在声源周围散发的能量越重。

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