臺灣博碩士論文加值系統

本文考慮了Kenics 靜態混合器（Kenics static mixer）之動態模擬與最佳化設計。首先，文中將詳細介紹Kenics靜態混合器的內部構造與混合運作方式。在程序模擬方面，吾人利用有限元素法，並藉由管內專利的螺旋狀混合元件之不同設計，改變其特殊結構，如改變元件扭轉的角度等，找出混合元件重要設計參數，同時藉由變換這些重要參數來觀察模擬不同混合狀態下的表現，並針對混合效果的影響程度進行探討。值得一提的是，本文不同於以往文獻只針對混合器流動狀態的模擬觀察，而同時地對流動力學與質量傳送作觀察，使微觀現象更具體的呈現。在模擬觀察內部情形後，提出藉由計算濃度標準差，來評估在不同混合狀態下的混合效益。另一方面，本文亦引入最佳化的策略，依照各種程序或製程上的不同需求，設計出最佳的Kenics靜態混合器。其具體作法係結合類神經網路和實數型基因演算法之最佳化觀念，計算出Kenics靜態混合器的設計最佳參數組合。由模擬的結果顯示，本文所提出之模擬與最佳化策略的確能有效解決Kenics靜態混合器之設計與分析問題，相信對其工業化應用將有十足助益。

This thesis considers the dynamics simulation and optimal design of the Kenics static mixer. A finite element method is applied to investigate the key factors that affect the mixing efficiency of the static mixer. Quite different from conventional CFD method, the simulation strategy used has the ability to deal with the fluid dynamics and mass transfer behavior simultaneously, which therefore can provide more realistic and micromixing information for design. For optimal design, a neural network model is built and a real-code genetic algorithm is utilized to search for the optimal design parameters. Design examples which involve practical situations have been included to demonstrate the effectiveness and applicability of the design scheme. Extensive simulation results reveal that the proposed dynamic simulation method as well as the optimal design scheme present to be an effective tool for the design of the Kenics static mixer.

摘要
英文摘要
圖目錄
表目錄
符號說明
第一章 緒論
第二章 Kenics靜態混合器設計之裝置與操作
第三章 Kenics靜態混合器之動態分析及混合效益評估
第四章 Kenics靜態混合器之最佳化設計
第五章 結論與未來展望
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