以B-rep為基礎之肋特徵辨識技術發展

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姓名

許惟淳(Wei-chun Xu) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

以B-rep為基礎之肋特徵辨識技術發展

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摘要(中)

傳統上，在進行模流分析時，工程師利用肉眼判斷需進行網格加密的部位，對於複雜模型時，若以肉眼判斷將花費大量時間，並且可能發生遺漏。本研究目的為提供一個對CAD模型進行自動化辨識技術，提供相關資訊給後續的CAE分析使用，然而需要辨識的特徵有很多種，本研究針對其中一項特徵進行辨識，以肋作為主要辨識的對象。在Rhino平台下發展一套辨識系統，利用CAD模型中的B-rep結構，取得CAD模型的拓樸資訊，並以此資訊為基礎，利用種子面的搜索方式，搜索CAD模型中可能為肋的部分，最後利用網路上搜索之CAD模型，利用CADdoctor進行比照與驗證，驗證本研究所發展的辨識系統的正確性與問題。

摘要(英)

Traditionally, during the mold flow analysis, engineers modify and refine the meshes manually during the generation of the meshes from the CAD model. For complex model, however such a work usually requires significant efforts, which may lead to the occurrence of omission. The purpose of this study is to provide an automated feature recognition system for the CAD model, and provide useful information for the generation of the meshes in the CAE analysis. The main target of this study is for the cognition of ribs, a typically feature in most CAD models. A rib recognition algorithm is proposed under the Rhino platform, in which the B-rep data is employed to obtain the topological information of the CAD model. The topological information is employed as the basis to recognize the ribs through a series of seed faces. Several realistic CAD model are used to verify the feasibility of the proposed method. The results obtained from the proposed algorithm are compared with those from the CADdoctor, which is a commercial software. The advantages and drawbacks of the proposed algorithms are discussed also.

關鍵字(中)

★ 肋
★ 種子面
★ 特徵辨識

關鍵字(英)

★ Rib
★ Seed face
★ Feature recognition

論文目次

目錄
摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
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 5
1.3.1研究目的 5
1.3.2研究方法 7
1.4 論文架構 9
第二章特徵辨識之系統架構 11
2.1前言 11
2.2肋幾何特徵分類 11
2.3邊與面拓樸屬性 13
2.3.1邊屬性 13
2.3.2面屬性 15
2.4種子面定義與判斷 19
2.4.1種子面定義 19
2.4.2種子面判斷 21

第三章特徵辨識演算法計算與流程 25
3.1 前言 25
3.2 邊面屬性儲存與計算 25
3.2.1 邊與面拓樸的儲存 25
3.2.2 拓樸資訊計算 27
3.3 種子面計算與辨識 29
3.4 特徵的辨識流程 34
第四章案例測試與討論 41
4.1 前言 41
4.2 案例測試與討論 41
第五章結論與未來展望 55
5.1結論 55
5.2未來展望 56
參考文獻 57

參考文獻

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[8] 周煒，“基於圖的邊界模型的加工特徵識別技術”，南京航空航天大學碩士論文，2006。

[9] W. J. Liu, L. Gu, W. Chang and L. M. Yang, “An AAG Based Method of Machining Feature Recognition”, Computer Integrated Manufacturing Systems, Vol. 7, No. 2, pp. 53-58, 2001.

[10] D. L. Li, G. F. Chen and Y. F. Yin, “Hybrid Recognition of Machining Features Based on Graph”, Modular Machine Tool & Automatic Manufacturing Technique, Vol. 6, 2013.

[11] Y. Lu and Y. G. Li, “A feature recognization technology of complex structural parts based on re-extended attributed adjacency graph”, Machinery Design & Manufacture, Vol. 5, pp. 236-238, 2009.

[12] 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”, Journal of Engineering Manufacture, Vol. 224, pp. 271-278, 2010.

[13] 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，2012。

[14] CADdoctor, Available at: http://elysiuminc.com/products/caddoctor/, Accessed 14 July 2014.

[15] Rhinoceros, Available at: http://www.rhino3d.com/, Accessed 14 July 2014.

[16] GrabCAD, Available at: https://grabcad.com/, Accessed 14 July 2014.

指導教授

賴景義(Jiing-Yih Lai)

審核日期

2014-7-22

推文