Abstract
This paper proposes an optimal design scheme to improve the muffler’s capacity of noise reduction of the exhaust system by combining the Taguchi method and a fractional factorial design. As a measuring tool for the performance of a muffler, the performance prediction software which is developed by Oh, Lee and Lee (1996) is used, In the first stage of a design, the length and radius of each component of the current muffler system are selected as control factors. Then, theL 18 table of orthogonal arrays is adopted to extract the effective main factors. In the second stage, the fractional factorial design is adopted to take interactions into consideration, which theL 18 table of orthogonal arrays can not consider. For an optimal design, theL 27 table of orthogonal arrays with main and interaction effects is proposed and the noise factors such as temperature, background noise and humidity are analyzed for more efficient design simultaneously.
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Oh, JE., Cha, KJ. Noise reduction of muffler by optimal design. KSME International Journal 14, 947–955 (2000). https://doi.org/10.1007/BF03185797
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DOI: https://doi.org/10.1007/BF03185797