基于遗传算法的油机隔舱多孔消声器降噪结构设计

Design of Noise Reduction Structure for Multi-hole Muffler of Oil Separator Based on Genetic Algorithm

对于许多有野外工作需求的方舱,设置柴油发电机组进行长时间供电必不可少。柴油发电机通常布置在油机隔舱内,而油机隔舱作为一种封闭围护结构,其降噪结构设计直接影响周围噪声水平。在我国著名声学专家马大猷教授的等效电路模型的基础上,通过MATLAB数值仿真对单层微穿孔板吸声体进行参数化研究,分析各结构参数对整机吸声性能的影响。应用遗传算法对双层微穿孔板复合结构进行优化,在所需噪声频段内获得了饱满吸声系数曲线,对比单层微穿孔板复合结构,其结构在吸声系数及频带范围上都有了很显著的提高。

For many of the field work needs of the cabin, setting the diesel generator set for a long time power supply is essential. Diesel generators are usually arranged in the oil compartment, and the oil compartment is a closed envelope struc- ture, whose noise structure design directly affects the surrounding noise level. Based on the equivalent circuit model of Pro- fessor Ma Dayou, who is a famous acoustic expert in China, this paper makes a parametric study on the single-layer micro- perforated plate sound absorber by MATLAB numerical simulation, and analyzes the influence of various structural parame- ters on the sound absorption performance of the whole machine. Applying genetic algorithm to doubleqayer micro-perforated plate composite structure optimization, a full sound absorption coefficient curve is obtained in the required noise band. Therefore, compared with the single-layer micro-perforated composite structure, the structure of the sound absorption coef- ficient and frequency range has been significantly improved.