簡易檢索 / 詳目顯示

研究生: 陳良瑋
Liang-wei Chen
論文名稱: 三維數位化量測儀的設計與製造
Design and Fabrication of a 3D Digitizer
指導教授: 李維楨
Wei-chen Lee
口試委員: 唐永新
Yeong-Shin Tarng
修芳仲
Fang-Jung Shiou
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 135
中文關鍵詞: 逆向工程影像擷取三維數位化量測儀
外文關鍵詞: reverse engineering, image capturing, 3D digitizer
相關次數: 點閱:225下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本論文以設計與製造三維數位化量測儀為研究目的,該儀器具備四種主要功能:(1)逐層移除待測物材料,(2)對待測物各層斷面進行取像,(3)將所得影像進行二值化、尋邊與分割影像處理,(4)堆疊處理後的影像以重建三維CAD模型。透過三維數位化量測儀可取得待測物內部特徵資料並轉換為三維CAD模型。

    本研究首先挑選適當的加工機,並選用相關硬體,如儀控電腦、步進馬達、CCD攝影機、鏡頭、補光燈、空壓元件、防塵罩。接著分為兩部分,一部分為馬達連接法蘭、影像系統固定架機構設計與製作,並架設馬達與CCD攝影機以達到自動化控制移動平台與影像擷取的功能。另一部分為光學尺讀取回授訊號、步進馬達控制與CCD攝影機影像擷取程式的設計,以LabVIEW作為程式語言。當所有軟硬體完成後進行量測儀性能分析與實例應用。

    由性能分析結果得知,本研究之三維數位化量測儀的最大工作空間為245×105×70 mm,準確度為0.029 mm,控制解析度為0.005 mm,精密度為0.026 mm,逐層加工進給厚度為0.005 mm,影像系統為79萬像素。Gage R&R百分比為25.99%,其中重現性百分比為5.37%,此部份可持續研究改善。


    The objective of this thesis is to design and fabricate a 3D digitizer, which has four main functions: (1) removing material of the part layer by layer, (2) capturing cross-sectional images of the part, (3) applying the image processing techniques (threshold, edge detection and segment) to the captured images, (4) stacking the processed images and rebuilding a CAD model. Using the 3D digitizer, users can obtain the inner and outer structure of a part under inspection and rebuild its CAD model.

    To achieve the goal, a proper machine tool and related hardware were selected first, such as an instrument-control computer, stepping motors, a CCD camera, lens, a circular LED light, an air unit and a dust cover. Next, motor adaptor flanges, a fixture of imaging system, and a air unit were designed and fabricated. Then the motors to control moving stage and a CCD camera to capture images were installed. Then the software for linear scale signal feedback, stepping motor motion control and image capturing was developed by using LabVIEW. Finally, a performance analysis was conducted and the applications of 3D digitizer were studied.

    From the result of the performance analysis, it was obtainedthat the maximum working space is 245×105×70 mm, the accuracy is 0.029 mm, the resolution is 0.005 mm, the precision is 0.026 mm and the minimum layer thickness is 0.005 mm. The Gage R&R percentage of the 3D digitizer is 25.99%, in which the reproducibility percentage is 5.37%. The performance of 3D digitizer can be further improved by continuing researches.

    第一章 緒論 1.1 研究背景與動機 1.2 研究目的 1.3 論文架構 第二章 文獻回顧 2.1 三維數位化量測儀發展現況 2.2 重要規格與優缺點比較 第三章 機器視覺與影像處理 3.1 數位影像(DIGITAL IMAGE) 3.1.1 數位影像定義 3.1.2 數位影像性質 3.1.3 影像類型 3.2 影像系統與校正 3.2.1 影像系統 3.2.2 影像校正 3.3 影像分析與處理 3.3.1 亮度、對比、γ值 3.3.2 直方圖 3.3.3 影像處理 3.4 邊緣檢測 3.4.1 影像定限化(thresholding) 3.4.2 邊緣檢測 第四章 三維數位化量測儀 4.1 原理 4.2 整體架構 4.3 硬體 4.3.1 待測物材料加工移除 (A) 4.3.2 移動平台自動化控制 (B) 4.3.3 影像擷取 (C) 4.3.4 切屑排除 (D) 4.4 軟體 4.4.1 LabVIEW 4.4.2 3D-DOCTOR 4.4.3 Quick Macro 4.5 量測流程 4.5.1 待測物鑲埋 4.5.2 逐層加工 4.5.3 拍照取像 4.5.4 影像處理、CAD模型建構與轉檔匯出 第五章 量測系統分析 5.1 三維數位化量測儀性能 5.1.1 量測系統的誤差 5.1.2 量測系統分析參數 5.2 量測系統之重複性與重現性(GAGE REPEATABILITY & REPRODUCIBILITY) 5.2.1 Gage R&R介紹 5.2.2 重複性與重現性計算 5.2.3 Gage R&R分析 5.3 應用實例 5.3.1 圓形銅件 5.3.2 六角形銅件 5.3.3 牙鑽快拆接頭 第六章 結論與未來研究方向 6.1 結論 6.2 未來研究方向

    [1] 金濤、童水光,逆向工程技術,台北縣,新文京,2005年3月,pp. 9-11,pp. 93-98。
    [2] K. A. Ingle, Reverse Engineering, New York, McGraw-Hill, pp. 9-15, 1994.
    [3] N. V. Puntambekar, A. G. Jablokow and H. J. Sommer III, “Unified review of 3D model generation for reverse engineering,” Computer Integrated Manufacturing Systems, Vol. 7, No. 4, pp. 259-268, 1994.
    [4] T. Várady, R. R. Martin and J. Coxt, “Reverse engineering of geometric models – an introduction,” Computer-Aided Design, Vol. 29, No. 4, pp. 255-268, 1997.
    [5] Z. Liu, L. Wang and B. Lu, “Integrating cross-sectional imaging based reverse engineering with rapid prototyping,” Computers in Industry, Vol. 57, pp. 131-140, 2006.
    [6] S. Motavalli, “Review of reverse engineering approaches,” Computers ind. Engng, Vol. 35, Nos 1-2, pp. 25-28, 1998.
    [7] K. H. Lee and H. Woo, “Direct integration of reverse engineering and rapid prototyping,” Computers and Industrial Engineering, Vol. 38, pp. 21-38, 2000.
    [8] D. Giri, M. Jouaneh and B. Stucker, “Error sources in a 3-D reverse engineering process,” Precision Engineering, Vol. 28, pp. 242-251, 2004.
    [9] 吴琳、呂培軍、楊民,基於工業用CT斷層影像的牙列缺損模型三維建構,現代口腔醫學雜誌,第20卷,第4期,2006,pp. 385-387。
    [10] C.C. Chang and H. W. Chiang, “Three-dimensional image reconstructions of complex objects by an abrasive computed tomography apparatus,” International Journal of Advanced Manufacturing Technology, Vol. 22, pp. 708-712, 2003. 
    [11] C. C. Chang, M. Y. Lee and S. H. Wang, “Digital denture manufacturing – An integrated technologies of abrasive computer tomography, CNC machining and rapid prototyping,” International Journal of Advanced Manufacturing Technology, Vol. 31, pp. 41-49, 2006.
    [12] M. Y. Lee, C. H. Kuo, C. C. Chang and Y. C. Ku, “Custom denture fabrication with new abrasive computer tomography and rapid prototyping technologies,” IEEE International Conference on Systems, Man and Cybernetics, Vol. 3, pp. 2425-2430, 2005.
    [13] C. C. Chang, M. Y. Lee and Y. C. Ku, “Digital custom denture design with new abrasive computer tomography and rapid prototyping technologies,” Biomedical Engineering – Applications, Basis and Communications, Vol. 15, No. 3, pp. 115-123, 2003.
    [14] 美商國家儀器股份有限公司台灣分公司 LabVIEW [Online]。Available: http://www.ni.com/labview/zht/
    [15] CGI Inspection [Online]。Available: http://www.cgiinspection.com/
    [16] 楊玉孝、周劍、譚玉山、趙明濤,基於分層光學掃描的三維數字化測量技術,應用光學,第24卷,第3期,2003,pp. 40-42.
    [17] Y. Yuxiao, Z. Jian, Z. Mingtao and T. Yushan, “3D digitizer for complex parts,” SPIE Conference on Optical Diagnostics for Fluids/Heat/Combustion and Photomechanics for Solids, Denver, Colorado, Vol. 3783, July 1999.
    [18] S. Ertürk, Digital Image Processing, Austin, Texas, National Instruments Corporation, 2003.
    [19] R. C. Gonzalez and R. E. Woods, Digital Image Processing, Upper Saddle River, New Jersey, Prentice-Hall, Inc., 2001.
    [20] NI Vision Concepts Manual, Austin, Texas, National Instruments Corporation, 2005.
    [21] LabVIEW Machine Vision and Image Processing Course Manual, Austin, Texas, National Instruments Corporation, 2004.
    [22] L. Lucchese, “Geometric calibration of digital cameras through multi-view rectification,” Image and Vision Computing, Vol. 23, pp. 517-539, 2005.
    [23] C. G. Relf, Image Acquisition and Processing with LabVIEW, Boca Raton, Florida, CRC Press, 2003.
    [24] J. Canny, “A Computational Approach to Edge Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAM1-8, No. 6, pp. 679-698, 1986.
    [25] M. P. Groover, Fundamentals of Modern Manufacturing materials, processes, and systems, New York, John Wiley & Sons, Inc. p. 86, pp. 587-591, pp. 868-870, pp. 966-967, 2002.
    [26] 王三儀,精密量測,台北市,科友圖書有限公司,1988年1月,pp. 8-10。
    [27] R&R or Gage R&R Repeatability & Reproducibility [Online]。Available: http://www.sixsigmaspc.com/dictionary/RandR-repeatability-reproducibility.html

    無法下載圖示 全文公開日期 2012/07/30 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE