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 |
相關次數: | 點閱:1 下載:0 |
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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
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