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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 機械工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40381
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dc.contributor.advisor廖運炫
dc.contributor.authorYung-An Hungen
dc.contributor.author洪永安zh_TW
dc.date.accessioned2021-06-14T16:46:11Z-
dc.date.available2008-08-04
dc.date.copyright2008-08-04
dc.date.issued2008
dc.date.submitted2008-07-30
dc.identifier.citation[1] X. Li, S.K. Tso, J. Wang, 'Real-Time Tool Condition Monitoring Using Wavelet Transforms and Fuzzy Techniques,' IEEE Transactions on Systems, Man, and Cybernetics─Part C: Applications and Reviews, Vol. 30, No. 3, August, pp. 352-357, 2000
[2] D.A. Axinte, N. Gindy, 'Tool condition monitoring in broaching,' Wear, Vol. 254, No. 3-4, pp. 370-382, 2003
[3] P.S. Heyns, 'Tool condition monitoring using vibration measurements - a review,' the Second World Congress on Engineering Asset Management and Fourth International Conference on Condition Monitoring, Vol. 49, No. 8, August, 2007
[4] A.G. Rehorn, J. Jiang, P.E. Orban, 'State-of-the-art methods and results in tool condition monitoring: a review,' The International Journal of Advanced Manufacturing Technology, Vol. 26, No. 7-8, pp. 693-710, 2005
[5] 盧銘詮,陳宇杰,'工具機刀具監控與熱誤差補償技術',機械月刊2006年六月號第三十二卷第六期,46-61頁。
[6] T. Pfeifer, L. Wiegers, 'Reliable tool wear monitoring by optimized image and illumination control in machine vision,' Measurement, Vol. 28, No. 3, pp. 209-218, 2000
[7] G.F. Micheletti, 'In process tool wear sensor for cutting operation,' Ann. CIRP, pp. 483-496, 1976
[8] J.H. Kim, D.K. Moon, D.W. Lee, J.S. Kim, M.C. Kang, K.H. Kim, ' Tool wear measuring technique on the machine using CCD and exclusive jig,' Journal of Materials Processing Technology, Vol. 130-131, pp. 668-674, 2002.
[9] 李登琰,'機器視覺應用於精密刀具定位系統之研究',淡江大學機械與機電工程所碩士論文,2002年。
[10] 鄭泰安,'非接觸式鑽石刀具對心與監測技術運用於精密元件製程之研究',國防大學中正理工學院國防科學研究所博士論文,2007年。
[11] L.G. Roberts, 'Machine Perception of Three-Dimensional Solids,' Massachusetts Institute of Technology Lincoln Laboratory, Technical Report No. 315, pp. 1-40, 1965.
[12] I. Sobel, 'An Isotropic 3x3 Image Gradient Operator in Machine Vision,' In: Machine Vision for Three-Dimensional Scenes, H. Freeman, Eds: Academic Press, Boston, USA, pp. 376-379, 1990.
[13] D. Marr, E. Hildreth, 'Theory of Edge Detection,' Proceedings of the Royal Society of London, Vol. B-207, pp. 186-217, 1980.
[14] J. Canny, 'A Computational Approach to Edge Detection,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 8, pp. 679-698, 1986.
[15] M. Heath., S. Sarkar., T. Sanocki., K. Bowyer., 'Comparison of Edge Detectors,' Computer Vision and Image Understanding, Vol. 69, No. 1, January, pp. 38-54, 1998.
[16] W. Luo, 'Comparison for Edge Detectors of Colony Images,' Internasional Journal of Computer Science and Network Security, Vol. 6, No. 9A, September, 2006.
[17] 馬艷,張治輝,'幾種邊緣檢測算子的比較',工礦自動化,第一期,2004年2月。
[18] 陳星光,'次微米非接觸式鑽石刀具輪廓線上監測系統之研究',淡江大學機械與機電工程所碩士論文,2005年。
[19] R. Fisher, S. Perkins, A. Walker, E. Wolfart, 'Hypermedia Image Processing Reference,' Artificial Intelligence, the University of Edinburgh, 2000
[20] A.K. Jain, 'Fundamentals of digital image processing,' Prentice-Hall, University of California, Davis, 1990
[21] X. Li, L. Wang, N. Cai, 'Machine-vision-based surface finish inspection for cutting tool replacement in production,' International Journal of Production Research, Vol. 42, No. 11, pp. 2279-2287, June, 2004
[22] A.A. Kassim, M.A. Mannan, Z. Mian, 'Texture analysis methods for tool condition monitoring,' Image and Vision Computing, Vol. 25, pp. 1080-1090, 2007
[23] J. Jurkovic, M. Korosec, J. Kopac, 'New approach in tool wear measuring technique using CCD vision system,' International Journal Machine Tools & Manufacture, Vol. 45, pp. 1023-1030, 2005
[24] J. F. Canny, 'Finding edges and lines in images,' M.I.T. Artificial Intell. Lab., Cambridge, MA, Rep. AI-TR-720, 1983
[25] 陳彥華,'砂輪磨耗影像檢測系統研製',台灣大學機械工程研究所碩士論文,1997年6月。
[26] 陳建樺,'非穩定光源下機器足球員色彩區分的擾動分析與解決策略',高雄第一科技大學系統與控制工程研究所碩士論文,2006年6月。
[27] 施盈儐,'超精密加工表面粗糙度之光散射效應研究',明志科技大學機械工程研究所碩士論文,2006年。
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40381-
dc.description.abstract增亮膜為背光模組之ㄧ重要零組件,目前製作方式乃是利用滾筒模具壓印技術在高分子材料上複製出v型微結構。為達到良好的增亮效果,滾筒表面微結構具有 μm的尺寸公差,v溝的斜面則必須維持在鏡面的狀態。滾筒模具是以鑽石刀具超精密車削的技術製作,在現今大尺寸的面板與滾筒模具數量倍增的需求下,滾筒的直徑變大而長度遽增,使得刀具車削的距離變長,於長時間加工的過程中,刀具可能會發生微崩落(chipping)或是磨耗(wear)的現象而無法製作出滿足表面精度需求的滾筒,嚴重的狀況下甚至造成工件的報廢;因鑽石刀具價昂,在堪用的狀態下不會丟棄,而車削新的滾筒工件時即採用全新的刀具。目前滾筒車削的生產線上多以目測法判斷工件的表面狀況,以決定是否需要更換刀具,尚未有自動化判斷換刀時機的方法,而更換後的新刀具尚須經繁瑣的對位程序。本研究提出以機器視覺直接取得工件表面的亮度,經過色彩空間轉換將光度量化,並且訂立標準閥值,當光度值低於閥值之下,代表滾筒模具的表面亮度不符需求。實驗結果證實工件表面呈現非鏡面時,亮度值低於240需要更換刀具。文中亦以影像處理方法尋找刀具退縮量,除了可以提供作為刀尖於徑向的補償外,亦可以用於更換後刀具的定位,使其與原刀具的位置吻合,以繼續進行車削完成大尺寸的光學滾筒模具。zh_TW
dc.description.abstractBrightness Enhancement Film (BEF) is one of the most important components in the Back Light Unit. The v-groove configuration of BEF is duplicated from the roller by roll-to-roll process. In order to enhance the luminance of the light source, the microstructure of the v-groove has to maintain two requirements which are form error for μm and mirror surface. The roller is cut by the ultra-precision diamond turning tool. To meet the current requirements of manufacturing larger size of LCD (Liquid Crystal Display), the roller has to become longer and larger in size. Hence in consequence the cutting distance becomes much longer and accompany the problems of chipping and wear of cutting tools for the long time tooling, indeed, roller is no usable. Furthermore, the diamond tool doesn’t been discarded arbitrary because it is very expensive. At present there is no other way for most manufactures except by naked eyes to estimate whether it is the time to change the tool. Moreover estimating with human eyes cannot accurately decide the critical point of surface brightness and is also ineffectual for automatic manufacturing. Thus an optimum method to estimate the time to change tool is developed in this research by quantification of the brightness from work surface, setting an experimentally determined threshold value of 240, i.e., as the brightness value is under 240 the tool has to be changed. As far as the tool is changed the developed system would determine the diamond tool tip shrinkage for follow-up compensation by machine vision in order to match the position of the new tool tip after reinstallation with worn tool position before detachment. This process allows the roller to turn continuously and finish fabrication.en
dc.description.provenanceMade available in DSpace on 2021-06-14T16:46:11Z (GMT). No. of bitstreams: 1
ntu-97-R95522815-1.pdf: 1318603 bytes, checksum: e087332f9e1e098619c7f24ee8ec6051 (MD5)
Previous issue date: 2008
en
dc.description.tableofcontents誌謝 i
摘要 ii
Abstract iii
目錄 iv
圖目錄 vii
表目錄 ix
第一章 緒論 1
1.1 鑽石刀具切削技術背景 1
1.2 鑽石刀具切削滾筒模具及瓶頸 2
1.3 研究動機與目的 4
1.4 文獻回顧 5
1.4.1影像處理之邊緣檢測 5
1.4.2應用機器視覺與影像處理技術於線上檢測 5
1.5 論文架構 7
第二章 理論基礎與方法 8
2.1 數位影像處理 8
2.2 影像濾波: 9
2.2.1 影像平滑化(image smoothing) 12
2.2.2 影像銳利化(image sharpening) 13
2.3 影像處理之邊緣檢測 14
2.3.1 微分運算子 15
2.3.2 Sobel 邊緣檢測運算子 17
2.3.3 Canny 邊緣運算子 18
2.4 數位顯示與色彩空間 22
2.4.1 RGB與YUV之色彩空間轉換 23
2.5 刀具退縮量之量測方式 24
第三章 實驗規劃及實驗儀器 26
3.1 實驗架構 26
3.1.1 機器視覺影像擷取系統 26
3.1.2 實驗規劃與誤差靈敏度分析 28
3.2 實驗儀器 31
3.2.1 感光元件以及鏡頭規格 31
3.2.2 儀器架設以及線性校正 35
第四章 實驗與成果討論 38
4.1 論述 38
4.2 光源定義 38
4.3 亮度實驗 39
4.4 轉動時亮度量測 46
4.5 刀尖退縮量量測實驗 48
4.6 討論 49
第五章 結論 51
5.1 小結 51
5.2 未來展望 52
Reference 53
作者簡歷 56
dc.language.isozh-TW
dc.titlev型溝槽滾筒模具車削換刀時機之研究zh_TW
dc.titleStudy of optimum tool change time in v-groove roller turningen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee修芳仲,林憲茂,楊詔中
dc.subject.keyword增亮膜,鏡面,換刀時機,機器視覺,補償,zh_TW
dc.subject.keywordBEF,mirror surface,tool change time,machine vision,compensation,en
dc.relation.page67
dc.rights.note有償授權
dc.date.accepted2008-07-31
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept機械工程學研究所zh_TW
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