跳到主要內容

臺灣博碩士論文加值系統

(44.201.72.250) 您好!臺灣時間:2023/09/24 04:38
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:盧俊瑋
研究生(外文):Jun-Wei Lu
論文名稱:圖形特徵應用於雕模放電之電極自動生成
論文名稱(外文):Implementation of Automatic Electrode Generation based on Graph-Feature for Die-Sinking EDM
指導教授:蔡曜陽蔡曜陽引用關係
指導教授(外文):Yao-Yang Tsai
口試委員:李維楨林子寬
口試委員(外文):Wei-Chen LeeTzu-Kuan Lin
口試日期:2021-06-30
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:機械工程學研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2021
畢業學年度:109
語文別:中文
論文頁數:119
中文關鍵詞:特徵辨識未切削區域主曲率放電加工特徵電極生成
外文關鍵詞:Feature RecognitionUncut RegionPrincipal CurvatureEDM FeatureElectrode Generation
DOI:10.6342/NTU202101871
相關次數:
  • 被引用被引用:0
  • 點閱點閱:37
  • 評分評分:
  • 下載下載:3
  • 收藏至我的研究室書目清單書目收藏:0
放電加工於模具產業中扮演著極其重要的角色,除了容易加工高硬度材料,另一個理由則是可以加工模具中不易切削的微細與內尖角特徵;然而放電加工的前置作業卻十分耗時,雖然部分商用CAD/CAM軟體被廣泛用於放電加工前置作業,但其功能還不完善需大量仰賴操作者經驗與判斷。本研究將發展一套可以辨識CAD圖檔於三軸銑削中因刀具形狀與尺寸限制而形成的未切削區域(Uncut Region)軟體,代替以往使用人力識別與量測的方式,並將辨識後結果組合成放電區域自動生成電極圖檔,取代手動生成電極圖檔等十分耗時的前置作業。
未切削區域的辨識方法是以主曲率(Principal Curvature)來計算刀具與曲面之間的干涉情形,如果發生干涉即會產生未切削區域,這些區域會經由演算組合而成放電區域。於放電區域中,藉由本研究提出的開放邊提示法(Open Edge Hints),以開放邊做為修剪提示,依序對實體方塊修剪最終可得該特徵之初步電極,並且符合電極設計時需考量的電極延伸要素。獲得初步電極後,本研究考量電極的大小、位置、加工性、電極進給方向與電極加工母材尺寸等因素,盡可能將電極合併一起或是置於同一電極基座上,並且自動生成該電極基座。
模具驗證結果顯示,以本研究提出的特徵辨識演算法,成功辨識出射出模具裡的未切削區域,這些區域被組合成62個放電區域,並成功生成62個電極,生成失敗為0個,62個電極皆符合電極設計概念,其中有14個電極,如果再經手動修改,可以使電極更容易加工。最後這些電極經由電極組合後從62個電極減少成42個電極,整體運算時間僅9分32秒。
The EDM process is particularly important in the machining of mold. In addition to processing high-hardness steel easily, it can process sharp corners that cannot be processed by tools or thin regions which are unsuitable for milling. However, the pre-procedure of EDM is time-consuming. Although some commercial CAD/CAM software is widely used in EDM pre-processing, its functions are not yet perfect and require a lot of experience and judgment from operators. This research will develop a set of software that can recognize the uncut regions which cannot be machined in 3-axis CNC because of tool shape and tool diameter to replace the method of using human identification and measurement, and generate electrode CAD files on EDM regions formed by uncut regions to replace time-consuming pre-process such as manually generating electrode CAD files.
The method of recognizing uncut regions is to calculate the interference between the tool and the surface by the principal curvature. If interference occurs, uncut regions will be generated, and these regions will be assembled by calculation to form EDM regions. In EDM regions, by using the Open Edge Hints which is proposed in this research, open edges as a trimming hint are used to trim solid squares to obtain preliminary electrodes, and they meet the extension conditions that need to be considered during electrode design. Finally, this research considers the electrode size, position, processability, material size, feed direction, and other factors to combine the electrodes or put them on the same electrode base as much as possible, and automatically generates the electrode base.
The results show that the recognition algorithm proposed in this research successfully recognizes the uncut regions in the injection mold. These regions are assembled into 62 EDM regions, and 62 electrodes are successfully generated, 14 of which will be machined more easily if they are modified by manual operation. Lastly, after combining the electrodes, these electrodes are reduced from 62 electrodes to 42 electrodes, and the overall calculation time is only 9 minutes and 32 seconds.
口試委員會審定書 i
致謝 ii
摘要 iii
ABSTRACT iv
目錄 vi
圖目錄 ix
表目錄 xvi
第1章 緒論 1
1.1 前言 1
1.2 文獻回顧 2
1.2.1 特徵辨識應用回顧 2
1.2.2 未切削區域辨識文獻回顧 3
1.3 研究目的 8
1.4 論文架構 9
第2章 相關技術理論 10
2.1 CAD建模 10
2.1.1 特徵辨識技術 10
2.1.2 形體表示模型 17
2.1.3 CAD圖檔格式 27
2.2 放電加工應用於模具製造 28
2.2.1 放電加工種類 28
2.2.2 雕模放電電極 29
2.2.3 放電加工原理 31
第3章 未切削區域特徵辨識演算法 33
3.1 定義與方法設計 33
3.1.1 未切削區域定義 33
3.1.2 未切削區域辨識方法 34
3.2 未切削區域辨識 36
3.2.1 CAD前處理 36
3.2.2 自干涉計算 36
3.2.2.1 曲面分類 40
3.2.2.2 曲面凹凸辨識 43
3.2.2.3 自干涉計算流程 45
3.2.2.4 自干涉計算結果 50
3.2.3 交互干涉計算 58
3.2.3.1 表面篩選 58
3.2.3.2 交互干涉計算流程 59
3.2.3.3 交互干涉計算結果 62
第4章 自動電極生成 66
4.1 方法流程 66
4.2 區域組合 67
4.2.1 H-Edge分解法概念 67
4.2.2 兩表面之間凹凸判別方法 68
4.2.3 區域組合流程 70
4.3 初步電極生成與設計 71
4.3.1 電極設計概念 71
4.3.2 電極生成原理 72
4.3.3 開放面延伸 73
4.3.4 初步電極生成流程 77
4.3.5 初步電極生成結果 81
4.4 電極進給方向 83
4.4.1 電極進給方向計算流程 83
4.4.2 進給方向計算結果 87
4.5 電極組合 89
4.5.1 電極組合流程 89
4.5.2 電極組合結果 91
4.6 總型加工電極 93
第5章 程式實作驗證 95
5.1 開發套件與環境 95
5.2 驗證案例:射出模具 95
5.2.1 未切削區域辨識結果 96
5.2.2 電極自動生成結果 99
5.3 其他驗證案例 107
第6章 結論與未來展望 114
6.1 結論 114
6.2 未來展望 115
參考文獻 116
[1]M. R. Alam, K. S. Lee, M. Rahman, and K. S. Sankaran, “Decision algorithm for selection of high-speed machining, EDM or a combination for the manufacture of injection moulds,” International Journal of Production Research, vol. 40, no. 4, pp. 845-872, Mar, 2002.
[2]P. Mognol, M. Rivette, L. Jegou, and T. Lesprier, “A first approach to choose between HSM, EDM and DMLS processes in hybrid rapid tooling,” Rapid Prototyping Journal, vol. 13, no. 1, pp. 7-16, 2007.
[3]J. Han, M. Pratt, and W. C. Regli, “Manufacturing feature recognition from solid models: a status report,” IEEE transactions on robotics and automation, vol. 16, no. 6, pp. 782-796, 2000.
[4]H. Ma, X. Zhou, W. Liu, J. Li, Q. Niu, and C. Kong, “A feature-based approach towards integration and automation of CAD/CAPP/CAM for EDM electrodes,” The International Journal of Advanced Manufacturing Technology, vol. 98, no. 9, pp. 2943-2965, 2018.
[5]J. Jiang, Z. Chen, and K. He, “A feature-based method of rapidly detecting global exact symmetries in CAD models,” Computer-Aided Design, vol. 45, no. 8-9, pp. 1081-1094, 2013.
[6]吳政龍, "多軸放電加工之路徑暨電極生成之開發," 國立臺灣大學, 2016.
[7]吳正傑, "加工特徵辨識應用於三軸之加工規劃," 國立臺灣大學, 2018.
[8]蔡玉麟, "基於孔特徵辨識之孔加工工序規劃," 國立臺灣大學, 2019.
[9]洪秉暉, "應用加工特徵辨識於車削旋轉件之加工規劃," 國立臺灣大學, 2019.
[10]X. Ding, J. Fuh, and K. Lee, “Computer aided EDM electrode design,” Computers & industrial engineering, vol. 42, no. 2-4, pp. 259-269, 2002.
[11]K. Mahajan, G. Knoppers, J. Oosterling, and C. Van Luttervelt, “Knowledge based design of EDM electrodes for mould cavities pre-machined by high-speed milling,” Journal of Materials Processing Technology, vol. 149, no. 1-3, pp. 71-76, 2004.
[12]Y. H. Lee, and C. L. Li, “Automation in the design of EDM electrodes,” Computer-Aided Design, vol. 41, no. 9, pp. 600-613, Sep, 2009.
[13]C. Zhou, and S. Zhang, "Automatic EDM electrode splitting based on volume decomposition." pp. 33-36.
[14]B. Lauwers, H. Oosterling, and W. Vanderauwera, “Development of an operations evaluation system for sinking EDM,” CIRP annals, vol. 59, no. 1, pp. 223-226, 2010.
[15]W. Geng, Z. Chen, K. He, and Y. Wu, “Feature recognition and volume generation of uncut regions for electrical discharge machining,” Advances in Engineering Software, vol. 91, pp. 51-62, 2016.
[16]J. J. Li, X. H. Zhou, W. Liu, and H. Y. Ma, “A new approach for uncut detection and automatic design of EDM electrodes,” International Journal of Advanced Manufacturing Technology, vol. 104, no. 1-4, pp. 599-615, Sep, 2019.
[17]T. C. Woo, “Feature extraction by volume decomposition,” pp. 76-94, 1982.
[18]S. Ansaldi, L. De Floriani, and B. Falcidieno, “Geometric modeling of solid objects by using a face adjacency graph representation,” ACM SIGGRAPH Computer Graphics, vol. 19, no. 3, pp. 131-139, 1985.
[19]S. Joshi, and T. C. Chang, “Graph-Based Heuristics for Recognition of Machined Features from a 3d Solid Model,” Computer-Aided Design, vol. 20, no. 2, pp. 58-66, Mar, 1988.
[20]J. R. Rossignac, “Issues on feature-based editing and interrogation of solid models,” Computers & Graphics, vol. 14, no. 2, pp. 149-172, 1990.
[21]Y. S. Kim, and D. Wilde, “A convergent convex decomposition of polyhedral objects,” 1992.
[22]J. H. Vandenbrande, and A. A. Requicha, “Spatial reasoning for the automatic recognition of machinable features in solid models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 12, pp. 1269-1285, 1993.
[23]M. C. Fields, and D. C. Anderson, “Fast feature extraction for machining applications,” Computer-Aided Design, vol. 26, no. 11, pp. 803-813, 1994.
[24]J. Han, and A. A. Requicha, “Integration of feature based design and feature recognition,” Computer-Aided Design, vol. 29, no. 5, pp. 393-403, 1997.
[25]S. Gao, and J. J. Shah, “Automatic recognition of interacting machining features based on minimal condition subgraph,” Computer-Aided Design, vol. 30, no. 9, pp. 727-739, 1998.
[26]Z. Huang, and D. Yip-Hoi, “High-level feature recognition using feature relationship graphs,” Computer-Aided Design, vol. 34, no. 8, pp. 561-582, 2002.
[27]Y. Li, Y. Ding, W. Mou, and H. Guo, “Feature recognition technology for aircraft structural parts based on a holistic attribute adjacency graph,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 224, no. 2, pp. 271-278, 2010.
[28]Y. Shi, Y. Zhang, K. Xia, and R. Harik, “A Critical review of feature recognition techniques,” Computer-Aided Design and Applications, vol. 17, no. 5, pp. 861-899, 2020.
[29]V. Sunil, and S. Pande, “Automatic recognition of machining features using artificial neural networks,” The International Journal of Advanced Manufacturing Technology, vol. 41, no. 9, pp. 932-947, 2009.
[30]M. R. Henderson, and D. C. Anderson, “Computer recognition and extraction of form features: a CAD/CAM link,” Computers in industry, vol. 5, no. 4, pp. 329-339, 1984.
[31]R. Ranjan, N. Kumar, R. K. Pandey, and M. Tiwari, “Automatic recognition of machining features from a solid model using the 2D feature pattern,” The International Journal of Advanced Manufacturing Technology, vol. 26, no. 7-8, pp. 861-869, 2005.
[32]W. Li, S. Ong, and A. Nee, “A hybrid method for recognizing interacting machining features,” International Journal of Production Research, vol. 41, no. 9, pp. 1887-1908, 2003.
[33]I. Zeid, CAD/CAM Theory and Practice: McGraw-Hill, 1991.
[34]王新民, and 雒斌, 微分几何, 第1版 ed., 西安: 陕西师范大学出版社, 1987.
[35]M. K. "Injection mold :Three plate mold / part of motorbike," https://grabcad.com/library/injection-mold-three-plate-mold-part-of-motorbike-1.
[36]gcom. "Injection Mould," https://grabcad.com/library/injection-mould-5.
[37]RAVI. "soap case mould two plate," https://grabcad.com/library/soap-case-mould-two-plate-1.
[38]André. "Plastic injection mold of a fan base - - - - Molde de injeção plástica da base do ventilador," https://grabcad.com/library/plastic-injection-mold-of-a-fan-base-molde-de-injecao-plastica-da-base-do-ventilador-1.
[39]I. А. "Mould for PE wheels," https://grabcad.com/library/mould-for-pe-wheels-1
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top