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The defense date of the thesis is 2019-01-31
The current date is 2019-05-22
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URN etd-0131119-145349 Statistics This thesis had been viewed 45 times. Download 0 times. Author Guo-Shu Huang Author's Email Address No Public. Department Mechanical Engineering Year 2018 Semester 1 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 99 Title Performance Design, Analysis and Optimization of Pneumatic Mufflers Keyword The Pneumatic Muffler FEM Neural Network COMSOL COMSOL Neural Network FEM The Pneumatic Muffler Abstract COMSOL, a multiple physical quantities coupled numerical analysis software, is adopted in the acoustical analysis in the thesis. The primary purpose of the research is to study the performance of pneumatic mufflers and to analyze and design two phase mufflers by adding baffles, extended tube, perforated tube and sound muffling material outside.
The thesis includes three parts: (1) An assessment of the acoustical performance for the pneumatic muffler. Here, the acoustical effect of the porosity and the diameter of the sound muffling material will be discussed. (2) The pneumatic muffler will be added with chambers, baffles, extended tubes, perforated tubes and sound muffling material. The acoustical effect of the two phase pneumatic mufflers will be explored. (3) A best geometric dimension design of the two phase pneumatic mufflers will be explored by using the artificial neural network in conjunction with the GA optimizer.
Consequently, the pneumatic muffler is designed and improved using the COMSOL during the optimal process. With this analysis, the relevant effects of geometric dimensions with respect to the acoustic performance and targeted frequency will be recognized, and even that the efficiency of the mufflers will be promoted.
Advisor Committee Ying-Chun Chang - advisor
Min-Chie Chiu - co-chair
Shih-Pin Liaw - co-chair
Files Date of Defense 2019-01-18 Date of Submission 2019-01-31