| The method of repeated modification of first design and then experiment and then design is commonly used in the design of muffler,have made it difficult to meet the requirements of more demanding environments and shorter development cycles.To help designers efficiently analyze the acoustic performance of muffler,developed a muffler acoustic performance prediction software to enable rapid calculation and design of muffler structure functions.Based on the one-dimensional plane wave theory,this paper deducts and summarizes the transmission matrix of various basic meddle units,and summarizes the processing methods of the cell connection series and concatenate relationships.Based on the resulting transmission matrix,the muffler acoustic performance prediction software(MDF)was developed using the interactive design tool(APP DESIGNER)in MATLAB software.The software uses the transmission matrix method to combine the various muffler units,and then calculates the corresponding transmission loss according to the given parameters,and the resulting data through post-processing to get the transmission loss graph.In order to verify the accuracy of the prediction software,the simulation analysis and calculation of a typical muffler in GT-SUITE were carried out respectively,and the transmission loss of the typical series muffler system was measured by two negative methods,and the transmission loss results of laboratory measurement were compared with the two methods mentioned above.The results are generally consistent,but with the increase of data error in the frequency increase prediction software,three parameter correction methods are introduced to correct the computational core in the prediction software.The comparison of the above results shows that the transmission loss of the muffler system can be calculated quickly and accurately by using the acoustic performance prediction software of the muffler.Based on PlatEMO optimization platform and prediction software(MDF)combined operations,the optimized design of the structure parameters related to the muffler is carried out by using the multi-target genetic algorithm,and the optimized muffler structure parameters are analyzed in GT-SUITE,and the optimization results are verified.The results show that the optimized muffler can meet the optimization target,and also shows that the development of predictive software can help the muffler design. |