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研究生: 郭奇龍
論文名稱: Development of Statistic Framework to Optimize the Tensile Stress of Buckypaper
指導教授: 蘇哲平
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 46
中文關鍵詞: 巴克紙實驗設計背景知識最佳化
外文關鍵詞: Buckypaper, Design of experiments, Domain knowledge, Optimization
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  • 摘要
    巴克紙(Buckypaper, 巴克紙)由於質量輕與多變的物理特性,是當今頗受矚目的新材料。在研究中發現由原本的材料選擇到成品加工製程參數變化,皆會改變巴克紙最後所呈現的性質。在應用上,如何改進製程使成品的品質更好、性質更符合需求是重要的課題。在傳統工程觀念中思考如何改進製程時,由於深受控制變因概念的影響,往往一次只改變一個變數(One at a time approach),來判斷單一變數對成品品質的影響。但是由於一次只改變一個變數,對於變因和變因間的交互作用則無法探討,只能了解個別變數的主效用所產生的影響。
    此外,傳統工程領域中,大多倚賴物理理論與對問題領域的瞭解、經驗來決定應該改變哪一個變數與改變的方向,這種方法在背景知識 (Domain knowledge)豐富與理論完備的成熟領域中非常適用,但是對於背景知識發展尚未臻於完美或嶄新的領域(例如奈米材料與奈米製品研究)上則並不能完全掌握產品特性與製程變數上的趨勢,因此本研究提議使用實驗設計 (Design of experiment) 的方法來解決以上的兩個問題。。
      而在本文的實驗中,除了使用了常見的實驗設計分析方法(ANOVA)以外,為了能夠在繁瑣的製程中快速找到顯著因子以進行最佳化和改善,還使用了新穎的蘭斯法(Lenth’s method)和克利金法(Kriging)加以輔助。實驗結果顯示,針對mean和variance可求得製程最佳之線性與非線性迴歸方程式,並可根據方程式進行統計上的分析,求得最佳參數設定和最大結果張力值。本法經驗證證實可在眾多變化因子的情況下,可正確的建立製程模式探討。

    關鍵詞:巴克紙、實驗設計、背景知識、最佳化


    主目錄 摘要 I 誌謝詞 II 主目錄 III 表目錄 IV 圖目錄 V 第一章 緒論 1 第二章 文獻回顧 3 2.1奈米碳管 4 2.1.1 奈米碳管之結構 4 2.1.2奈米碳管製備方法 5 2.1.2.1電弧放電法(Arc-discharge) 6 2.1.2.2 雷射蒸發法(Laser ablation method) 6 2.1.2.3 化學氣相沉積法(Chemical vapor deposition method, CVD) 6 2.1.3奈米碳管電傳導性質 7 2.1.4 奈米碳管機械性質 8 2.2 巴克紙之合成 9 2.3 巴克紙的性質 12 2.4巴克紙之應用 13 2.5 實驗設計 13 2-5-1 2k-p sampling design 14 2-5-2 ANOVA 15 2-5-3 Lenth method 15 2-5-4 Linear regression 17 2-5-5 Center point 17 2-5-6 Kriging method 18 第三章 研究方法 20 3.1巴克紙製作流程 20 3.1.1 實驗流程 20 3.2 研究框架 22 3.3 實驗因子及其水準 25 第四章 資料分析與研究結果 28 4.1 實驗結果 28 第五章 研究結論 39 參考文獻 40 表目錄 表2.1 與 之值 16 表3.1 八種因子及其水準 25 表3.2 實驗因子組合 27 表4.1 10001series實驗時間和溫度 28 表4,2 拉伸應力相關數值 29 表4.3 DOE分析(改善前) 30 表4.4 ANOVA分析(改善前) 31 表4.5 中心點設定及驗證結果 34 表4.6 建模方法最佳參數設定比較 37 表4.7 驗證結果及誤差率 38 表4.8 本研究使用線性方法之比較 38 圖目錄 圖2.1 巴克紙巨觀外表(肉眼) 10 圖2.2 AFM下巴克紙成像 11 圖2.3 SEM下巴克紙成像 12 圖3.1 巴克紙製作流程簡介 21 圖3.2 巴克紙張力研究框架圖 24 圖3.3 巴克紙製作流程簡介 25 圖3.4 巴克紙張力實驗流程圖(因子位置) 26 圖4.1 Lenth method分析(mean) 31 圖4.2 Lenth method分析(variance) 32

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