Acoustic Performance Optimization of Perforated Tube Muffler with Elastic Back Cavity Based on an Approximate Model
Because of the coupling effect of sound waves and elastic tube walls,the perforated tube muffler with elastic back cavity has better low-frequency muffler performance than perforated tube mufflers.In order to further improve the low-frequency and wide-frequency anechoic capability of the muffler,the genetic algorithm is used to its optimization.Firstly,the transmission loss calculation model of the muffler is established by means of the finite element software COMSOL.The influence of the elastic material of the tube wall on low-frequency anechoic capability of the muffler is analyzed,and the rubber composite material is chosen as the elastic material of the tube wall.Then,an approximate model based on radial basis function(RBF)combined with the genetic algorithm is established to seek global optimization,and the optimization results of the structure parameters of the muffler are obtained.The accuracy of the optimization is verified by using the finite element model.The results show that the optimized perforated tube muffler with elastic back cavity has 62%increase in anechoic bandwidth and 3.6 dB increase in average transmission loss in the low frequency band of 100-1000 Hz.
acousticsmufflerapproximate modelgenetic algorithmneural network modeltransmission loss