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Abstract

In an effort to meet the demands of operation and maintenance inside a constrained machine room, the volume of the muffler system is often compromised. Therefore, the need to enhance the level of muffler performance under limited space conditions becomes even more expedient in the field of practical engineering work. The present paper proposes a novel scheme for the shape optimization of double-chamber mufflers by using a genetic algorithm (GA). The new approach utilizes the four-pole transfer matrix - a technique for evaluating the sound transmission loss (STL) on the basis of plane wave theory - in conjunction with the GA method. A numerical case of the sound elimination of pure tone is discussed in this study. To achieve optimization in the GA, several test parameter values were used. Results showed that the maximum value of the STL was optimally obtained at the desired frequency of 250 Hz. The approach used in this study for optimum design of the STL is both easy and quite effective.

Keywords

shape optimization muffler genetic algorithm

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Shape optimization on double-chamber mufflers using a genetic algorithm

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References