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研究生:周以炘
研究生(外文):Yi-Hsin Chou
論文名稱:具邊進邊出矩形截面之多腔消音系統性能分析及最佳化設計
論文名稱(外文):Performance Analysis and Optimization of Rectangular Expansion Chamber with Multiple Internal Connected and Side Inlet/Outlet tubes
指導教授:張英俊張英俊引用關係
指導教授(外文):Ying-Chung Chang
口試委員:張英俊
口試委員(外文):Ying-Chung Chang
口試日期:2013-07-19
學位類別:碩士
校院名稱:大同大學
系所名稱:機械工程學系(所)
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:100
中文關鍵詞:邊進邊出COMSOLSYSNOISE
外文關鍵詞:side inlet/outletCOMSOLSYSNOISE
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本論文使用聲學專業分析軟體SYSNOISE之邊界元素(Boundary element method,BEM)法;以及多重物理量耦合數值分析軟體COMSOL Multiphysics之有限元素(Finite element method,FEM)法分析,其主要目的在於研究分析邊進邊出型消音箱及多腔鰭片型消音箱之尺寸設計。
設計消音箱模型與規劃出模型組數,並以電腦輔助軟體建立出消音箱模型,最後將建立好之模型網格化進行分析,或是匯入聲學分析軟體分析消音箱之消音性能(Transmission Loss)。
  論文主要分三部份:(1) 將消音箱從直通型改為邊進邊出型,並於消音箱內部放置開口薄阻板、延伸型開口薄阻板及加入雙邊延伸管,探討不同長度之延伸管與不同延伸管傾斜角度對於消音箱消音性能之影響。(2) 在限制固定長度的條件下,設定不同腔室數量及內部放置檔板的變化,並搭配多重物理量耦合數值分析軟體COMSOL,探討不同分析方法對於消音箱消音性能之影響。(3)整合類神經網路與遺傳演算法之最佳化方法,設計出消音箱內放置檔板之最佳化設計。
  最後,本論文之消音箱設計,透過SYSNOISE與COMSOL之音場分析與結合類神經網路及遺傳演算法,能有效提升消音箱之消音性能,並進一步提升產品之市場競爭力。
In this thesis, the acoustic professional boundary element analysis software SYSNOISE (Boundary element method, BEM) method as well as the multiple physical quantities coupled numerical analysis software COMSOL Multiphysics Finite Element (Finite element method, FEM) analysis are adopted. The primary purpose of the research is to assess the acoustical performance of the side inlet/outlet plenums and the multi-fin plenums.
  The plenums will be planned and modelled. The plenum’s model will be built by using the computer-aided software. Thereafter, this plenum’s model will be grided and imported into the acoustical analysis to asses the acoustical performance of the plenum.
The thesis has three main axes: (1) A straight-through muffler is changed as a side inlet/outlet plenum. The thin baffles, the extended baffles, and the bilateral extended tubes will be added inside the side inlet/outlet plenum. The acoustical influences with respect to the lengths and the tilt angle of the baffles, extended baffles, and the bilateral tubes will be explored in this paper. (2) The acoustical influences with respect to the number of the baffles and the allocation of the baffles within a length-fixed plenum will be assessed using the COMSOL software.(3) The best allocation of the baffles inside the plenum will be explored using the artificial neual network and the GA optimizer.
Consequently, the plenum design is performed using the SYSNOISE, the COMSOL, the artificial neual netwirk, and the Genetic Algortihm. The acoustical performance of the multi-chamber side inlet/outlet plenum will be optimally improved. The plenum’s competition in market will largely increase.
致 謝 i
摘要 ii
Abstract iii
目錄 v
表目錄 xiv
第一章 緒論 1
1.1 前言 1
1.2 文獻回顧 1
1.3 研究動機 3
第二章 基礎理論 4
2.1 消音器 4
2.2 消音箱 4
2.3 類神經網路系統 5
2.3.1 多項式類神經網路的概念 5
2.3.2 多項式類神經網路之架構 7
2.3.3 多項式類神經網路之建構 9
2.4 遺傳演算法 11
2.4.1 遺傳演算法參數 12
2.4.2 遺傳演算法流程 17
2.5 電腦輔助聲場分析 18
2.5.1 邊界元素法 18
2.5.2 模型建立 19
2.5.3 場點 19
2.5.4 音源 19
2.6 三點法 21
2.7 多重物理量耦合分析 23
2.7.1 有限元素法 23
2.7.2 模型建立 24
第三章 消音箱性能驗證 25
3.1 消音箱模擬驗證 25
3.2 分析設定 25
3.3 出入口中心直通式空腔消音箱驗證 27
3.4 出入口偏心式空腔消音箱驗證 29
第四章 消音器之消音性能 31
4.1 消音器性能分析 31
4.2 分析設定 31
4.3 消音器內部放置開口薄阻板之消音效能 33
4.4 消音器內部放置開口薄阻板及內部延伸管消音性能 38
4.5 消音器進出口段加入延伸管之消音性能 43
4.6 消音器內部一片開口薄阻板及傾斜延伸管之消音性能 45
4.7 消音器內部放置一片開口薄阻板及非等截面延伸管之
消音性能 48
第五章 消音箱之消音性能 54
5.1 消音箱性能分析 54
5.2 分析設定 54
5.3 固定長度下消音箱改變矩形腔室數量之消音效能 57
5.4 固定長度下消音箱改變矩形腔室邊長之消音效能 65
5.5 邊進邊出型消音器改變內部檔板數及位置之消音效能 69
第六章 消音箱尺寸最佳化設計 81
6.1 分析設定 81
6.2 消音器內部交叉放置兩片檔板改變檔板高度及檔板放置
距離之兩變數最佳化 83
第七章 結論 91
參考文獻 94
附錄一 97
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