臺灣博碩士論文加值系統

本研究探討了相似性模型及SST k-ω模型在PET-PVC塑膠廢料運輸中的應用，著重於文氏管的幾何尺寸設計及相似性縮小模擬分析參數，以提升運輸效率。利用實際測量的流速數值，通過計算流體動力學（CFD）結合COMSOL Multiphysics 6.1對穩態流場進行數值模擬分析，並可視化流場及測量相關參數，以比較模擬結果與實際文氏管流量之間的差異。在研究中，文氏管運輸口平均流速作為特徵速度，文氏管出口截面邊長為特徵長度，計算流場的雷諾數為1.30126*10⁵。
由於文氏管內部流場具有管型結構並包含漸縮與漸擴形體，本研究首先進行了網格獨立性驗證，並選擇SST k-ω湍流模型進行有限元素模擬。結果顯示文氏管運輸出口存在空氣回流現象，導致碎片化塑膠滯留。為解決此問題，研究提出了增加運輸出口流速和減少空氣回流的優化策略。經過優化之文氏管運輸出口流量由原本的15.24 CMM提升至15.29 CMM，顯著減少了回流情況，最後將實驗數據放入Custom GPT資料庫中，使GPT快速計算所需參數，減少實驗與數值模擬之時間與金錢成本。
此外本研究還探討了不同幾何參數和流體條件對文氏管性能的影響，並驗證了模擬結果的準確性和可靠性。研究發現適當的幾何設計和流體條件能有效提高文氏管的運輸效率，減少回流現象。這些結果對於未來塑膠廢料回收系統的設計和優化具有重要參考價值。

This study investigates the application of similarity models and the SST k-ω model in the transportation of PET-PVC plastic waste, with a focus on the geometric design of the Venturi tube and the parameters of similarity-reduced simulation analysis to enhance transportation efficiency. Utilizing empirically measured flow velocity values, a numerical simulation analysis of the steady-state flow field was conducted through computational fluid dynamics (CFD) integrated with COMSOL Multiphysics 6.1. This approach enabled the visualization of the flow field and measurement of relevant parameters, allowing for a comparison between the simulation results and actual Venturi tube flow rates. In the study, the average flow velocity at the Venturi tube's transportation outlet was used as the characteristic velocity, and the side length of the Venturi tube's outlet section served as the characteristic length, with a calculated Reynolds number for the flow field of 1.30126 × 10⁵.
Given the tube-like structure of the internal flow field of the Venturi tube, which includes contraction and expansion shapes, the study first conducted a grid independence verification and selected the SST k-ω turbulence model for finite element simulation. The results indicated the presence of air recirculation at the Venturi tube's transportation outlet, leading to fragmented plastic retention. To address this issue, the study proposed optimization strategies to increase outlet flow velocity and reduce air recirculation. Following optimization, the flow rate at the Venturi tube's transportation outlet improved from the initial 15.24 CMM to 15.29 CMM, significantly reducing recirculation. Ultimately, experimental data were integrated into the Custom GPT database, enabling GPT to swiftly compute necessary parameters, thereby reducing the time and financial costs associated with experimentation and numerical simulation.
Furthermore, this study explored the effects of different geometric parameters and fluid conditions on the performance of the Venturi tube, verifying the accuracy and reliability of the simulation results. The research concluded that appropriate geometric design and fluid conditions can effectively enhance the transportation efficiency of the Venturi tube and mitigate recirculation phenomena. These findings provide valuable reference points for the design and optimization of future plastic waste recycling systems.

摘要...i
Abstract...ii
誌謝...iv
目錄...v
表目錄...vii
圖目錄...viii
第一章 緒論...1
1.1 前言...1
1.2 文獻回顧...4
1.3 研究動機與目的...8
第二章 研究設備、材料與方法...9
2.1 研究設備...10
2.2 研究軟體...19
2.2.1 電腦輔助設計軟體...19
2.2.2 數值模擬分析軟體...19
2.2.3 影像分析軟體...19
2.3 物理模型...21
2.4 紊流模式...23
2.4.1 L-VEL（Low-Velocity）紊流模型...24
2.4.2 k-epsilon（k-ε）紊流模型...24
2.4.3 k-omega（k-ω）紊流模型...25
2.4.4 Shear-Stress Transport（SST）紊流模型...26
2.5 壁面函數...29
2.6 渦度大小...30
2.7 GPT 模型發展與演進...30
2.8 Custom GPT介紹...31
2.9 研究方法...32
2.9.1 文氏管量測流程...32
2.9.2 文氏管實驗流程...33
2.9.3 數值模擬流程...35
2.9.3.1 流體屬性...38
2.9.3.2 壁面邊界條件...38
2.9.3.3 入口邊界條件...38
2.9.3.4 出口邊界條件...39
2.9.4 相似度分析流程...39
2.9.5 ChatGPT使用原則...40
2.9.5.1 ChatGPT 的侷限性...40
2.9.5.2 ChatGPT Token limit...41
2.9.5.3 目的之關聯性...41
2.9.5.4 清晰精準的提示辭彙...41
2.9.5.5 避免開放性問題...41
2.9.5.6 環境建構...42
2.9.5.7 定義輸出...42
2.9.5.8 結果驗證...42
第三章 結果與討論...43
3.1 網格獨立性探討...43
3.2 實體實驗...47
3.3 相似度分析...58
3.4 數值模擬...67
3.5 Custom GPT...74
第四章 結論...78
第五章 研究限制與未來研究建議...80
參考文獻...81
Extended Abstract...85

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