Automotive reactive mufflers attenuate sound using interference which is produced by engine exhaust sound waves that are partially or fully canceled. Its performance depends on back pressure which depends on the structure. The indicator of the performance of the muffler is a measurement of transmission loss (TL) which depends on the geometry of the muffler. In this work, experimental as well as CAE analysis is used to find TL; for experimental, validation test is carried on impedance tube, and conical adapters are designed to accommodate different diameter openings of impedance tube and muffler. Inlet, outlet, and muffler diameter and length are optimized to maximize TL. Genetic algorithm is used for maximization of TL given by CAE analysis of variable models with change in range of − 15% to + 15% of original dimensions. With the help of this work, contribution of each part can be studied. We achieve 10.24% maximization in TL suggested by this optimized solution. The purpose of this paper is to reduce the complexity of the design.


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    Title :

    Muffler Transmission Loss Optimization for a Vehicle Using Genetic Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:


    Publication date :

    2023-03-12


    Size :

    17 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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