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論文名稱 Title |
生質柴油相似分子氧化過程中生成多環芳香烴的精簡機理研究 A reduced kinetic mechanism for polycyclic aromatic hydrocarbon formation in oxidation of a biodiesel surrogate |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
81 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2015-07-27 |
繳交日期 Date of Submission |
2015-08-31 |
關鍵字 Keywords |
碳黑、多環芳香烴、燃燒、化學動力反應機理、生質柴油、計算流體力學 Biodiesel fuel, Chemical kinetic mechanism, Computational fluid dynamics, Soot, Polycyclic aromatic hydrocarbons (PAH), Combustion |
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統計 Statistics |
本論文已被瀏覽 5654 次,被下載 29 次 The thesis/dissertation has been browsed 5654 times, has been downloaded 29 times. |
中文摘要 |
本研究之宗旨為提出一種簡化的化學反應機理,用來模擬計算流體力學模型中的燃燒過程及碳黑的排放。將一化簡過的多環芳香烴機理嵌入到丁酸甲酯之簡化機理,藉以來描述生質柴油燃料燃燒時,多環芳香烴從一環多環芳香烴類的苯(C6H6)生長到四環多環芳香烴類的芘(C16H10)的過程以及煤煙的形成。最終,此化學反應機理由83個反應物種及520個基元反應所組成,且此反應機理亦在點火延遲、對沖擴散火焰以及協流火焰實驗中進行驗證,結果顯示,本模擬能成功預測出實驗數據,其反應結果與實驗數據十分吻合。換句話說,本研究所提出的生質柴油替代燃料反應機理可運用在計算流體力學模型中模擬燃燒和煤煙產生的過程。 |
Abstract |
The goal of this study is to develop a reduced chemical kinetic mechanism for simulating the combustion process and soot emissions using computational fluid dynamics (CFD) for a biodiesel surrogate. A reduced mechanism of polycyclic aromatic hydrocarbon (PAH) is embedded into a reduced mechanism of methyl butanoate (MB) for describing the PAH growth from A1 (Benzene, C6H6) to A4 (Pyrene, C16H10). The final mechanism that consists of 83 species and 520 reactions is validated with ignition delay times, opposed-flow diffusion flame and co-flow flame reactors. The results show that the present simulations are able to well predict the experimental data. In other words, the newly derived mechanism can be used to simulate the combustion and soot production of biodiesel fuel surrogate in CFD models. |
目次 Table of Contents |
論文審定書 i 誌謝 ii 中文摘要 iii Abstract iv Table of Contents v List of Figures vii List of Tables x Nomenclature xi 1 Introduction 1 2 Methodology 6 2.1 Mechanism reduction 8 2.2 Simulation of 0-D shock tube 11 2.3 Simulation of 1-D opposed-flow diffusion flame 15 2.3.1 Combination of PAH sub-model 18 2.4 Simulation of 2-D co-flow flame 19 3 Results and Discussion 23 3.1 Reduced MB mechanism 23 3.2 Shock tube simulations and error analysis 25 3.3 Opposed-flow diffusion flame simulations and error analysis 28 3.4 Co-flow flame simulations 39 3.5 CPU time analysis 50 3.6 Rate of production analysis 51 4 Conclusions 57 5 References 58 |
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