博碩士論文 104323610 詳細資訊




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:32 、訪客IP:3.145.72.199
姓名 何馬維(Himawan Wibhisana)  查詢紙本館藏   畢業系所 機械工程學系
論文名稱 CAD模型之倒角特徵辨識技術發展
(Development of Chamfer Recognition Technology for CAD Model)
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]
  1. 本電子論文使用權限為同意立即開放。
  2. 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。
  3. 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) 在有限元素分析中,網格生成是不可或缺的。然而在將CAD模型轉換為網格時,會遇到的問題之一是CAD模型通常具有大量的特徵面,其中有許多是屬於過渡面。在網格生成過程中,在過渡面如混接面和倒角的周邊時常形成不良的網格。這些實體附近的網格,其尺寸通常比相鄰面的尺寸更小,導致較差的分析結果產生。在某些有限元分析中,可能需要簡化這些微小的過渡面,但在簡化之前,必須要先對這些過渡面進行辨識。本研究的目的是開發一基於B-rep模型來辨識CAD模型上的倒角。包括以下步驟:輸入B-rep模型,候選倒角的辨識,分類候選倒角的方法與輸出倒角資訊。本研究所提出的演算法可識別三種倒角:平面倒角,頂點混合倒角和表面倒角。最後利用五十個CAD模型來驗證倒角識別算法的可行性。
摘要(英) In finite element analysis, mesh generation is an indispensable operation. However, one of the problems encountered when converting Computer-Aided Design (CAD) models into meshes is that CAD models often feature a large number of faces, many of which are transition faces. In the mesh generating process, poor meshes can easily be formed around the transition faces, including blend faces and chamfers. The mesh size near these entities is usually smaller han that of adjacent faces, resulting in poor analysis results. In some finite element analysis, it might be necessary to suppress such tiny transition faces. However, they should be recognized first. The purpose of this study is to develop an algorithm to recognize chamfers on a CAD model based on the understanding of a boundary representation (B-rep) model. It includes the following main operations: input B-rep model, identification of candidate chamfers, methods to classify candidate chamfers, and output chamfer data. Three types of chamfers can be recognized by the proposed method: plane chamfer, vertex blend chamfer and surface chamfer. Fifty CAD models are presented to demonstrate the feasibility of the proposed chamfer recognition algorithm.
關鍵字(中) ★ CAD模型
★ 倒角辨識
★ 倒角
關鍵字(英) ★ CAD model
★ Chamfer recognition
★ Chamfer
論文目次 Abstract I
Acknowledgement II
Contents III
List of Figures V
List of Table VII
Chapter 1 Introduction 1
1.1 Foreword 1
1.2 Literature Review 3
1.3 Research Purposes and Methods 5
1.3.1 Research Purposes 5
1.3.2 Research Methods 6
1.4 Organization of Thesis 8
Chapter 2 Fundamental of Transition Faces Recognition 9
2.1 Introduction to Transition Faces 9
2.1.1 Classification of Transition faces 9
2.1.2 Terms Used in Recognition of Chamfers 16
2.2 Introduction to B-rep Data Structure 18
2.3 Introduction to Preliminary Function 20
2.3.1 Edge AAG 20
2.3.2 Face AAG 22
2.4 Importance of Chamfer Recognition Algorithm 25
Chapter 3 Chamfer Recognition Algorithm 31
3.1 Introduction 31
3.2 Overview of the Proposed Chamfer Recognition Algorithm 31
3.3 Identification of candidate chamfer 32
3.3.1 Primary Edges 32
3.3.2 Curvature Direction 38
3.3.3 Face Angle 41
3.3.4 Support Faces 41
3.4 Method to Classify Candidate Chamfers 41
Chapter 4 Results and Discussion 48
4.1 Introduction 48
4.2 Validating Methods 48
4.2.1 Operational procedure of the proposed algorithm 48
4.2.2 Operational procedures of CADdoctor 49
4.3 Results and discussion 54
Chapter 5 Conclusion and Future Study 67
5.1 Conclusion 67
5.2 Future study 68
References 69
參考文獻

[1] Huyn Thanh Thuong’s Thesis “On the Development of Fillet Suppression Technology for CAE Application”.
[2] S.Venkataraman and M. Sohoni, “Blend Recognition Algorithm and Applications”, The sixth ACM Symposium on Solid Modeling and Applications, pp.99-108, 2001.
[3] J. Li, G. Tong, D. Shi, M. Geng, H. Zhu and I. Hagiwara, “Automatic Small Blend Recognition from B-rep for Analysis”, Engineering with Computers, pp 279-285, 2009.
[4] X. Cui, S. Gao and G. Zhou, “An Efficient Algorithm for Recognizing and Suppressing Blend Features”, Computer-Aided Design and Applications, Vol. 1, No. 1-4, pp. 421-428, 2004.
[5] H. Zhu and C.H. Menq, “B-Rep Model Simplification by Automatic Fillet/Round Suppressing for Efficient Automatic Feature Recognition”, Computer-Aided Design, Vol. 34, No. 2, pp. 109-123, 2002.
[6] B. Li and J. Liu, “Detail Feature Recognition and Decomposition in Solid Model”, Computer-Aided Design, Vol. 34, No. 5, pp. 405-414, 2002.
[7] S. S. Madurai and L. Lin, “Rule-based automatic part feature extraction and recognition from CAD data”, Computers and Industrial Engineering, Vol. 22, No. 1, pp. 49–62, 1992.
[8] D.W. Zeng, Y.B. Xie, S.X. Fan, and Y.X. Xiao. “A Research on Feature Modelling and Feature Recognition of Revolution Parts”, Chinese Journal of Computers, Vol. 6, pp. 630-633, 1994.
[9] J. Peng, X. Cai, J. Li, Y. Hu and C. Song, “Automatic Small Chamfer Feature Recognition from B-rep Models for Analysis”, Revista de la Facultad de IngenieríaU.C.V., Vol. 31, No. 4, pp. 109-118, 2016.
[10] Y. Lee and K. S. Fu, “Machine Understanding of CSG: Extraction and Unification of Manufacturing Features”, IEEE Computer Graphics and Applications, Vol. 7 No.1, pp. 20-32, 1987.
[11] X. Cui, S. Gao and G. Zhou, “An Efficient Algorithm for Recognizing and Suppressing Blend Features”, Computer-Aided Design and Applications, Vol. 1, No. 1-4, pp. 421-428, 2004.
[12] J. Y. Lai, P. P. Song and Y. C. Tsai, “Recognition and Decomposition of Rib Features in Thin-Shell Plastic Parts for Finite Element Analysis”, Computer-Aided Design & Aplications, Vol. 15, No. 1, pp. 132-137, 2017.
指導教授 賴景義(Jiing-Yih Lai) 審核日期 2017-8-3
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明