Summary: | 碩士 === 大同大學 === 機械工程學系(所) === 106 === COMSOL, a multiple physical quantities coupled with numerical analysis software, is adopted in the acoustical analysis in the thesis. The primary purpose of the research is to analyze and design the straight-through muffler by extended tube, perforated tube, adding baffles and sound absorbing material inside the vehicle exhausting muffler.
Consequently, the vehicle exhaust muffler is designed and improved by using the COMSOL and the optimal process. With this analysis, the muffler’s competition in market will be greatly promoted.
The thesis includes two parts: (1) A best allocation of the vehicle exhaust muffler with an interior extended tube will be explored by using the artificial neural network in conjunction with the GA optimizer. (2) An assessment of the acoustical performance for the vehicle exhausting muffler. Here, the acoustical effect of the internal extended tube and the placement of internal baffles will be discussed.
The muffler design optimized for this paper uses COMSOL simulation analysis, combined with neural networks and genetic algorithms, to improve the overall silencing performance.
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