CAE應用之肋特徵辨識技術發展

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：5

、訪客IP：3.140.186.241

姓名

陳建富(Jian-fu Chen) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

CAE應用之肋特徵辨識技術發展

相關論文

★ 光纖通訊主動元件之光收發模組由上而下CAD模型設計流程探討	★ 汽車鈑金焊接之夾治具精度分析與改善
★ 輪胎模具反型加工路徑規劃之整合研究	★ 自動化活塞扣環壓入設備之開發
★ 光學鏡片模具設計製造與射出成形最佳化研究	★ CAD模型基礎擠出物之實體網格自動化建構技術發展
★ 塑膠射出薄殼件之CAD模型凸起面特徵辨識與分模應用技術發展	★ 塑膠射出成型之薄殼件中肋與管設計可製造化分析與設計變更技術研究
★ 以二維影像重建三維彩色模型之色彩紋理貼圖技術與三維模型重建系統發展	★ 結合田口法與反應曲面法之光學鏡片射出成型製程參數最佳化分析
★ 薄殼零件薄殼本體之結構化實體網格自動建構技術發展	★ Boss特徵之結構化實體網格自動化建構技術發展
★ 應用於模流分析之薄殼元件CAD模型特徵辨識與分解技術發展	★ 實體網格建構對於塑膠光學元件模流分析之影響探討
★ 螺槳葉片逆向工程CAD模型重建與檢測	★ 電腦輔助紋理影像辨識與點資料視覺化研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

肋為CAD模型中常見的特徵，在零件設計中通常用來作為補強的功用。在CAE分析中，需要由CAD模型轉換為網格，由CAD模型中擷取肋的特徵有助於網格化方法的發展，以便建立合適的網格。本研究的目的為發展CAE網格化應用之肋特徵辨識技術。在本方法中，需要建立邊與面的拓樸資料，我們使用AAG的方法建立邊與面的關聯性資訊。此外，在CAD模型中常有混接曲面，使得邊與面的關係更複雜，因此，混接面之拓樸資料也需要建立並加以應用。本研究使用的搜尋方法為rule-based的方法，建立一組規則用以搜尋屬於肋的面。本方法的完整流程將在論文中完整說明，流程中每一步驟也將詳細說明。為驗證本研究方法的可行性，使用超過30個CAD模型作為測試案例，所有結果並整理成表格與討論。這些範例中絕大多數的肋均可正確地辨識，少數錯誤判斷的情況與其原因也將於論文中說明。

摘要(英)

Rib is a typical feature in CAD models. It is generally used to provide extra strength for the product design. In CAE analysis, it is required to convert CAD models into meshes. The extraction of ribs from a CAD model can help the development of the meshing algorithm for generating appropriate meshes. The purpose of this study is to develop a feature recognition algorithm for ribs for the application in CAE meshing process. In the proposed algorithm, the topological data among edges and faces must be established. We employ the AAG (attributed adjacency graph) method to record topological information among edges and faces. Moreover, fillets often appear on the CAD model and complicate the adjacent relationship among edges and faces. Therefore, a topological data related to fillets must also be established and employed. The search method used in the proposed algorithm is a rule-based method, in which a set of rules are provided to determine the faces which belong to a rib. The overall flowchart of the proposed method is described in this thesis, and a detailed description for each of the steps is explained. To verify the feasibility of the proposed method, more than 30 CAD models are tested and results are listed in tables and discussed. Most of the ribs on these cases can be detected accurately. The situations which may result in erroneous recognition of ribs for limited cases are discussed.

關鍵字(中)

★ 特徵辨識
★ 肋
★ 電腦輔助分析
★ 網格

關鍵字(英)

★ Feature recognize
★ Rib
★ CAE
★ Mesh

論文目次

目錄
摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 IX
第一章緒論 1
1.1 前言 1
1.2 文獻回顧 2
1.3 研究目的與方法 6
1.3.1研究目的 6
1.3.2研究方法 8
1.4 論文架構 10
第二章肋特徵定義與型式 11
2.1 前言 11
2.2 肋的定義與組成 11
2.2.1 肋的定義 11
2.2.2 肋的組成 13
2.3 邊與面拓樸屬性 13
2.3.1邊屬性 16
2.3.2 面屬性 19
2.4 實際模型中肋的複雜度分析 20
第三章肋特徵辨識演算法計算與流程 23
3.1 前言 23
3.2 邊與面的拓樸資訊的建立 23
3.2.1 凹凸角性質的計算 23
3.2.2 邊夾角的計算 27
3.3 肋特徵辨識演算法 27
3.3.1 跨越邊倒圓角 30
3.3.2 終止面搜索(Search end face) 30
3.3.3 殼面計算與辨識(Search shell face) 39
第四章案例測試與問題探討 46
4.1 前言 46
4.2 肋特徵辨識演算法之驗證與比較 46
4.3 問題討論 57
4.4 肋特徵辨識應用於CAE網格生成 59
第五章結論與未來展望 63
5.1結論 63
5.2未來展望 64
參考文獻 66

參考文獻

[1] J. J. Shah, D. Anderson, Y. S. Kim and S. Joshi, “A Discourse on Geometric Feature Recognition from CAD Models”, Journal of Computing and Information Science in Engineering, Vol. 1, pp. 41-51, 2001.

[2] N. Okino, Y. Kakazu and H. Kubo, “TIPS-1: Technical Information Processing System for Computer-aided Design, Drawing and Manufacturing”, Computer Languages for Numerical Control, pp 141-150, 1973.

[3] 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.

[4] S. Joshi and T. C. Chang, “Graph-based Heuristics for Recognition of Machined Features from a 3D Solid Model”, Computer-Aided Design, Vol. 20, pp. 58-66, 1988.

[5] M. Marefat and R. Kashyap, “Geometric Reasoning for Recognition of Three-dimensional Object Features”, Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 12, pp. 949-965, 1990.

[6] S. N. Trika and R. L. Kashyap, “Geometric Reasoning for Extraction of Manufacturing Features in Iso-oriented Polyhedrons”, Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 16, pp 1087-1100, 1994.

[7] L. U. Yong and Y. G. Li, “A Feature Recognition Technology of Complex Structural Parts Based on Re-extended Attributed Adjacency Graph”, Machinery Design & Manufacture, 2009.

[8] Y. G. Li, Y. F. Ding, W. P. 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, pp. 271-278, 2010.

[9] Y. G. Li, W. Wang, X. Liu and Y . Ma, “Definition and Recognition of Rib Features in Aircraft Structural Part”, International Journal of Computer Integrated Manufacturing, Vol. 27, pp. 1-19, 2014.
[10] I. Stroud, “Boundary Representation Modelling Techniques”, Springer Science & Business Media, 2006.

[11] 游子威，“以B-rep為基礎之混接曲面辨識技術發展”，國立中央大學碩士論文，2014。

[12] 許惟淳，“以B-rep為基礎之肋特徵辨識技術發展”，國立中央大學碩士論文，2014。

[13] 陳星佑，“CAE應用之混接面辨識技術發展” ，國立中央大學碩士論文，2015。

[14] CADdoctor, Website: http://elysiuminc.com/products/caddoctor/, Accessed 06 July 2015.

[15] Rhinoceros, Website: http://www.rhino3d.com/, Accessed 06 July 2015.

[16] GrabCAD, Website: https://grabcad.com/, Accessed 06 July 2015.

[17] Moldex3D, Website: http://www.moldex3d.com/, Accessed 13 July 2015.

指導教授

賴景義(Jiing-yih Lai)

審核日期

2015-7-30

推文