| 研究生: |
盧詰茗 Jie-ming Lu |
|---|---|
| 論文名稱: |
雙光子光致聚合微製造以弦高誤差為基之切層演算法 Slicing Algorithm Base on Cusp Height for Two-photon Photopolymerization Micro-fabrication |
| 指導教授: | 廖昭仰 |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系 Department of Mechanical Engineering |
| 論文出版年: | 2014 |
| 畢業學年度: | 103 |
| 語文別: | 中文 |
| 論文頁數: | 58 |
| 中文關鍵詞: | 雙光子光致聚合 、弦高誤差 、SolidWorks API |
| 外文關鍵詞: | TPP, Cusp Height, SolidWorks API |
| 相關次數: | 點閱:19 下載:0 |
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雙光子光致聚合(Two-Photon Photopolymerization, TPP)微製造技術是一種可以製造高精度的任意三維(Three-Dimensional, 3D)微/奈米結構的製造技術,而其加工方式類似於積層製造,是由一層層堆疊加工的方式來製造微結構。隨著科技的進步,科技產品也越趨向越做越小,微加工的製造技術漸漸成為主要發展對象。TPP微製造技術也因此受到矚目。
為了能以TPP微製造技術製造高精度微結構,本論文應用傳統使用於CNC切削加工的弦高誤差(Cusp Height)分析,發展一套以弦高誤差為基之雷射掃描路徑規劃法。其特色是以SolidWorks為幾何核心,其微結構之CAD模型並沒有經過三角網格化的步驟,因此能保留較完整的表面曲面特徵。此外,本論文利用VBA(Visual Basic Application)語法所撰寫的SolidWorks API(Application Programming Interface)程式和體素結合弦高誤差演算法,進行雷射掃描路徑規劃,最後並以數個範例驗證演算法的正確性。
Two-photon photopolymerization is a micro-fabrication technology that can produce an arbitrary three-dimensional high precision micro/nanostructure, and its process is a manner similar to Additive Manufacturing, its also by stacking layers of voxcel to produce the structure. As technology advances, the more technology products tend to get smaller, micro-machining manufacturing techniques gradually become main objective. TPP micro-fabrication techniques, therefore, receive much attention.
To be able to produce precise micro-structure with TPP micro-fabrication technology ,The paper applied traditional use in CNC machining Cusp Height analysis, developing a on cusp height of laser scanning path planning method based. Its characteristic is used the core of SolidWorks geometry. Its micro-structure’s CAD model is generated without steps of the triangular grid. Therefore, Its able to remain more complete curved surface features. In addition, The paper uses VBA (Visual Basic Application)grammar to write Solidworks API (Application Programming Interface) program and Cusp Height algorithm to performed laser scanning path planning, and make some example to verify the algorithm in the end.
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