Design of noise reduction structure for multihole muffler of oil separator based on genetic algorithm

With the improvement of people's living standard, noise pollution has become a growing concern. 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 structure, the noise structure design directly affect the surrounding noise level. Based on the equivalent circuit model, 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 parameters on the sound absorption performance of the whole machine. By optimizing the double-layer micro-perforated plate composite structure using a genetic algorithm, the full absorption coefficient curve can be obtained in the required noise frequency band.. Genetic algorithms are a class of randomized search methods evolved by drawing on the laws of evolution in biology (survival of the fittest, meritocratic genetic mechanism). Compared with the single-layer micro-perforated composite structure, the structure of the sound absorption coefficient and frequency range has been significantly improved.