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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/123456789/73577
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dc.contributor.advisor蔡曜陽(Yao-Yang Tsai)
dc.contributor.authorYu-Lin Tsaien
dc.contributor.author蔡玉麟zh_TW
dc.date.accessioned2021-06-17T08:06:17Z-
dc.date.available2024-08-23
dc.date.copyright2019-08-23
dc.date.issued2019
dc.date.submitted2019-08-20
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[12] W. D. Li, S. K. Ong, and A. Y. C. Nee, A hybrid method for recognizing interacting machining features, International Journal of Production Research, vol. 41, no. 9, pp. 1887-1908, 2003.
[13] P. P. Song, J. Y. Lai, Y. C. Tsai et al., Automatic recognition and suppression of holes on mold bases for finite element applications, pp. 1-20, 2018.
[14] 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, 碩士論文,2018.
[15] N. W. Zainal Abidin, M. F. F. Ab Rashid, and N. M. Z. Nik Mohamed, A Review of Multi-holes Drilling Path Optimization Using Soft Computing Approaches, Archives of Computational Methods in Engineering, vol. 26, no. 1, pp. 107-118, 2019.
[16] R. Dewil, İ. Küçükoğlu, C. Luteyn et al., A Critical Review of Multi-hole Drilling Path Optimization, Archives of Computational Methods in Engineering, vol. 26, no. 2, pp. 449-459, 2019.
[17] N. K. A. Al-Sahib, and H. F. Abdulrazzaq, Tool path optimization of drilling sequence in cnc machine using genetic algorithm, Innovative Systems Design and Engineering, vol. 5, pp. 15-26, 2014.
[18] T. Šarić, D. Pezer, G. Šimunović et al., “Tool path optimization of drilling sequence using genetic algorithm,” in 6th International Scientific and Expert Conference of the International TEAM 2014.
[19] Q. Zhang, and M.-Y. Zhao, Minimum time path planning of robotic manipulator in drilling/spot welding tasks, Journal of Computational Design and Engineering, vol. 3, no. 2, pp. 132-139, 2016.
[20] K. Danesh narooei, R. Ramli, M. N. A. Rahman et al., Tool Routing Path Optimization for Multi-Hole Drilling Based on Ant Colony Optimization, 2014.
[21] I. Kucukoglu, T. Gunduz, F. Balkancioglu et al., Application of precedence constrained travelling salesman problem model for tool path optimization in CNC milling machines, An International Journal of Optimization and Control: Theories & Applications, vol. 9, pp. 59, 2019.
[22] F. Kolahan, and M. Liang, Optimization of hole-making operations: a tabu-search approach, International Journal of Machine Tools and Manufacture, vol. 40, no. 12, pp. 1735-1753, 2000.
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[24] B. Philipp, M. Breitenberger, I. D’Auria et al., Integrated design and analysis of structural membranes using the Isogeometric B-Rep Analysis, Computer Methods in Applied Mechanics and Engineering, vol. 303, pp. 312-340, 2016.
[25] M. Breitenberger, A. Apostolatos, B. Philipp et al., Analysis in computer aided design: Nonlinear isogeometric B-Rep analysis of shell structures, Computer Methods in Applied Mechanics and Engineering, vol. 284, pp. 401-457, 2015.
[26] Y. B. Li, B. Delves, G. N. Blount et al., Generation of uniform expressions from CSG non-unique representations, Journal of Materials Processing Technology, vol. 56, no. 1, pp. 706-717, 1996.
[27] D. B. Perng, Z. Chen, and R. K. Li, Automatic 3D machining feature extraction from 3D CSG solid input, Computer-Aided Design, vol. 22, no. 5, pp. 285-295, 1990.
[28] 鶴峻實業有限公司, 刀具鑽頭型錄, 2015.
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[34] 周賢溪, and 施成惠, 孔加工手冊: 啓學出版社, 1981.
[35] A. Kumar Pal, A. Bhattacharyy, and G. Chandra Sen, Investigation of the Torque in drilling ductile materials, International Journal of Machine Tool Design and Research, vol. 4, no. 4, pp. 205-221, 1965.
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[37] PierreSelim, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=8044684.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73577-
dc.description.abstract在加工零件過程中使用CAM軟體以產生加工路徑,可提高產品生產效率,但還是需要具備加工經驗人員操作軟體並且以人工方式選取加工區域與加工條件。
本研究針對工件上之鑽孔特徵,建立出孔特徵辨識演算法、對應的孔加工規劃流程以及優化每道次的孔加工路徑。在孔特徵辨識方面,辨識出STEP圖檔的孔加工特徵,當孔特徵互相干涉時,也能正確辨識。在獲得孔特徵的幾何尺寸之後,依照實際加工機台所提供的加工能力、所使用的加工參數來新增預鑽削工法,並且考量較少的加工道次與換刀次數條件下安排預鑽削。而每道次之刀具選用是從刀具庫中選出適合之鑽頭作加工,安排出孔加工工序。在計算每道工序之加工路徑時,本研究藉由貪婪演算法與兩元素優化法優化加工孔之順序,可減少48%之空行程,提升加工效率。
本研究藉由孔特徵辨識技術可減少人為判斷加工區域錯誤性與增加產生加工路徑的效率,加上藉由鑽孔工序安排,可減少換刀次數和加工時間,大幅提升加工規劃效率。
zh_TW
dc.description.abstractThe mechanical manufacturer can improve production efficiency and product quality by using CAM software. However, it is necessary to have the practical experience to operate the software and manually select the processing area based on the workpiece geometry.
In this study, a drilling feature recognition algorithm is developed to identify the drilling features from STEP files of CAD. When the detailed geometric dimensions of the hole feature are obtained, drilling procedures and processing paths can be planned. In this study, drilling processes are planned according to the machine tool, tool library and hole feature. The drilling path is automatically generated by considering the actual processing and the algorithm of reducing the toolpath. In calculating the toolpath of each process, the greedy algorithm and two- optimization algorithm are used to optimize the order of the holes, which can reduce the empty travel by 48% and improve the processing efficiency.
The results show that the mistakes of manual judgment of processing area can be reduced by hole feature recognition, and the numbers of tool changes and processing time can be reduced by drilling process planning, which greatly improves the processing efficiency.
en
dc.description.provenanceMade available in DSpace on 2021-06-17T08:06:17Z (GMT). No. of bitstreams: 1
ntu-108-R06522728-1.pdf: 7201895 bytes, checksum: b9c15f40a0d3216e232d905d8eb72f91 (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents口試委員會審定書 i
誌謝 ii
摘要 iii
ABSTRACT iv
目錄 v
圖目錄 viii
表目錄 xiii
第一章 緒論 1
1.1 前言 1
1.2 文獻回顧 2
1.2.1 特徵辨識文獻回顧 2
1.2.2 鑽孔排程與路徑規劃回顧 9
1.3 研究目的 13
1.4 論文架構 13
第二章 相關技術理論 14
2.1 CAD建模 14
2.1.1 幾何模型 14
2.1.2 幾何面類型 18
2.1.3 STEP格式圖檔 21
2.2 刀具路徑分類簡介 22
2.3 刀具簡介 26
第三章 孔特徵辨識演算法 29
3.1 孔特徵類型 29
3.2 孔辨識流程 30
3.3 圖元關係圖 32
3.3.1 面之相鄰角度 34
3.4 孔特徵辨識 38
3.4.1 提取圓柱面與圓錐面 38
3.4.2 組合Unit Hole 38
3.4.3 辨識倒圓角 42
3.4.4 分類向量分區 44
3.4.5 分類孔群組 45
3.4.6 分類孔特徵與銑削特徵 48
3.4.7 孔特徵分類 52
3.5 孔特徵之幾何性質建構 54
3.5.1 盲孔與軸向性質 55
3.5.2 幾何尺寸 60
3.5.3 中心點 63
3.5.4 構成角度與破孔性質 65
3.5.5 斜孔之幾何性質 66
第四章 孔加工與工序規劃 70
4.1 方法流程 70
4.2 孔加工分類 72
4.2.1 分類加工軸向 72
4.2.2 分類孔類型與直徑 73
4.3 孔特徵工法安排 73
4.3.1 孔特徵之工法 73
4.3.2 刀具安排 76
4.4 鑽削負載 79
4.4.1 新增預鑽工序 82
4.4.2 降低每轉進給量 89
4.5 加工路徑產生與優化 92
第五章 程式實作驗證 96
5.1 開發程式規劃 96
5.1.1 開發套件與環境 96
5.1.2 程式架構 96
5.2 驗證案例:射出模座 98
5.2.1 孔特徵辨識結果 99
5.2.2 工序規劃與路徑產生結果 104
5.2.3 加工NC碼驗證 113
5.3 其他孔辨識案例結果 115
第六章 結論與未來展望 118
6.1 結論 118
6.2 未來展望 119
參考文獻 120
附錄1 鑽頭刀具庫[30] 123
附錄2 S45C之鑽削比切削力[33] 127
dc.language.isozh-TW
dc.subjectCAMzh_TW
dc.subject孔特徵辨識zh_TW
dc.subject鑽孔工序安排zh_TW
dc.subject孔加工zh_TW
dc.subject加工路徑規劃zh_TW
dc.subjectCAMen
dc.subjectHole Feature Recognitionen
dc.subjectDrilling Process Planningen
dc.subjectMachining Holeen
dc.subjectToolpath Planningen
dc.title基於孔特徵辨識之孔加工工序規劃zh_TW
dc.titleProcess Planning of Machining Hole Based on Hole Feature Recognitionen
dc.typeThesis
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.oralexamcommittee劉楊倫,李維楨,林子寬,鍾文仁
dc.subject.keyword孔特徵辨識,鑽孔工序安排,孔加工,加工路徑規劃,CAM,zh_TW
dc.subject.keywordHole Feature Recognition,Drilling Process Planning,Machining Hole,Toolpath Planning,CAM,en
dc.relation.page127
dc.identifier.doi10.6342/NTU201902516
dc.rights.note有償授權
dc.date.accepted2019-08-20
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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