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基于拉丁超立方抽样的离心式吸叶机噪声分析与降噪优化研究

发布时间:2018-09-08 10:54
【摘要】:以吸叶机离心风机系统为研究对象,针对吸叶机气动噪声与出口流量的双目标优化问题,运用有限元与试验相结合的方法对其进行分析与优化以达到降低整机噪声的效果。首先运用CFD技术对原吸叶机模型进行流场和声场的仿真分析,并在此基础上提出了长短叶片叶轮优化方案,在拉丁超立方抽样模型的指导下求解了短叶片的多项具体参数,通过融合分析多项参数获得了长短叶片的最优组合方案,最后再次通过仿真与试验相结合的方法对优化方案的实际效果进行了验证。结果表明,短叶片的加入不仅可以保持原有的风机性能,还能够达到降噪1.2 d B左右的效果。该方案的提出不仅有效降低了风机噪声,还为产品的降噪优化提供了合理的技术路线,具有广泛的应用价值。
[Abstract]:Taking the centrifugal fan system of the vane suction machine as the research object, aiming at the double objective optimization problem of the aerodynamic noise and the outlet flow rate of the blade suction machine, the finite element method and the test method are used to analyze and optimize it in order to achieve the effect of reducing the noise of the whole machine. Firstly, the flow field and sound field of the original blade suction machine model are simulated and analyzed by using CFD technology. On this basis, the optimization scheme of the long and short blade impeller is proposed. Under the guidance of the Latin hypercube sampling model, several specific parameters of the short blade are solved. The optimal combination scheme of long and short blades is obtained by fusion analysis of several parameters. Finally, the practical effect of the optimization scheme is verified by the combination of simulation and experiment. The results show that the addition of short blade can not only maintain the original performance of fan, but also achieve the effect of reducing noise about 1.2 dB. The proposed scheme not only effectively reduces fan noise, but also provides a reasonable technical route for the optimization of product noise reduction, and has wide application value.
【作者单位】: 东南大学机械工程学院;
【分类号】:TB53


本文编号:2230309

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