Structure Optimization of the Exhaust Muffler Based on Multi-objective Genetic Algorithm
In order to address the issue of suboptimal acoustic performance of inserted pipe exhaust mufflers within the broadband frequency range(0～1 300 Hz)and low frequency range(0～800 Hz),a novel structural optimization method based on the multi-objective optimization for the exhaust muffler was introduced.Firstly,the finite element method and multivariate statistical method were used to formulate a pressure loss function for the inserted pipe exhaust mufflers based on structural parameters.Subsequently,on one-dimensional plane wave theory was used to establish the broadband frequency transmission loss function and low frequency transmission loss function of the inserted pipe exhaust mufflers.Finally,the pressure loss,broadband transmission loss,and low-frequency transmission loss were used as the optimization objectives,and the multi-objective genetic algorithm(NSGA-I1)was used to optimize the muffler structure.Then the optimal combination of structural parameters was obtained.The experimental results showed that the optimized muffler not only increased the transmission loss but also reduced the pressure loss.The low-frequency transmission loss and broadband transmission loss of the optimized muffler increased by 4.44 dB and 8.10 dB,respectively,with improvement rates of 42.05％and 80.52％.The pressure loss decreased by 181.9 Pa,with a reduction rate of 5.49％.The structural optimization algorithm outlined in this article could provide a theoretical basis for the optimization design of inserted pipe exhaust mufflers.
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