CAE應用之圓角簡化技術發展

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：70

、訪客IP：18.191.189.164

姓名

黃丹同(Huynh Thanh Thuong) 查詢紙本館藏

畢業系所

機械工程學系在職專班

論文名稱

CAE應用之圓角簡化技術發展
(ON THE DEVELOPMENT OF FILLET SUPPRESSION TECHNOLOGY FOR CAE APPLICATION)

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)

在CAE (Computer aided engineering)分析中，使用有限元素(Finite element)技術以模擬產品的設計結果是最為常見的方法，以取代人為的測試或經驗。此技術中網格化是最重要的步驟，但模型的特徵往往由多個面或很小的面所組成，造成網格尺寸勢必縮小與面接近。尤其在於倒圓角(Blend faces)中往往為狹長面，導致網格數增加，不只增加電腦計算時間，也影響網格品質與模擬結果，因此必須要改善狹長型的倒圓角在網格化中的問題。本研究發展一演算法，以B-rep (Boundary representation)資料格式的模型為基礎，將倒圓角進行簡化，方法主要分為：產生幾何曲面資料以取代原本的倒圓角面、刪除原本倒圓角的曲面資料、更新所有B-rep中的拓樸資訊。最後使用數個案例進行測試，當模型經過簡化演算法計算後，會產生所有倒圓角均被簡化的新模型，以驗證此演算法的可行性。

摘要(英)

CAE (Computer Aided Engineering) analysis is a common tool to replace physical test. It often employs the Finite Element (FE) method to analyze and simulate the product design. In finite element method of CAE analysis, mesh generation is an indispensable operation. But, one of the problems found in going from CAD to CAE is that CAD models often feature a large number of faces, and many of them are much smaller than the desired finite element size. Specially, the appearing and existing of small blend faces on a CAD model affects the quality of analysis. It not only increases the analysis time but also produces poor simulation results. Hence, small blend face simplification on CAD models for mesh generation is essential to improve the quality of finite elements to analysis. This study develops the algorithms to simplify small blend faces for producing better models for FE based on the understanding the B-rep (Boundary representation) model. It includes the following main operations: generate new geometric data to replace all small blend faces, add new elements into B-rep, delete all elements related to small blend faces and update all topological data of the B-rep. All small blend faces can be suppressed, after the above operations are accomplished, which yields the simplified CAD model without small blend faces. The simplified CAD model without small blend faces will be obtained. In addition, several examples are presented to demonstrate the feasibility of the proposed method for small blend simplification.

關鍵字(中)

★ 特徵簡化
★ B-rep
★ 圓角

關鍵字(英)

★ Blend suppression

論文目次

摘要 I
Abstract II
Acknowledgements III
Contents IV
List of Figures VI
List of Tables IX
Chapter 1 Introduction 1
1.1. Foreword 1
1.2. Literature Review 3
1.3. Purposes and Methods 6
1.3.1. Purposes 6
1.3.2. Methods 7
1.4. Organization of Thesis 8
Chapter 2 Introduction of B-rep and Blend Faces 9
2.1. B-rep Model and Modification of Elements 9
2.1.1. Introduction of B-rep Data Structure 9
2.1.2. Modification of the B-rep model 11
2.2. Description of Blend Faces 14
2.2.1. Classification of Blend Faces 14
2.2.2. Terms used in the proposed simplification algorithm 16
2.3. Overview of Previous Version of Blend Face Simplification 19
2.3.1. Result of Previous Version 19
2.3.2. Problems of Previous Version 19
Chapter 3 Blend Faces Simplification Algorithm 27
3.1. Grouping Operation 27
3.1.1. Group Vertex Blend Faces 27
3.1.2. Group the Edges of Each Edge Blend Face 31
3.1.3. Group Edge Blend Faces 33
3.2. Compute New Geometric Data and Add New Elements into B-rep Model 33
3.2.1. Compute New Geometric Data to Replace Blend Faces 33
3.2.2. Add New Elements into the B-rep data structure 46
3.3. Delete All Elements Relate to Blend Faces 49
3.4. Reconstruct the B-rep Model 49
3.4.1. Reconstruct Topological and Geometrical Data of the B-rep Model 49
3.4.2. Correct Topological and Geometrical Data of the B-rep Model 56
Chapter 4 Results and Problems 57
4.1. Experimental Methods 57
4.2. Results 58
4.3. Problems 70
4.4. Comparison of Current Study and CADdoctor 75
Chapter 5 Conclusion and Future Study 79
5.1. Conclusion 79
5.2. Future Study 83
References 84

參考文獻

[1] S.Venkataraman and M. Sohoni, “Blend Recognition Algorithm and Applications”, The sixth ACM Symposium on Solid Modeling and Applications, pp.99-108, 2001.
[2] 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.
[3] 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.
[4] 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, February 2002.
[5] K.Y. Lee, C.G. Armstrong, M.A. Price and J.H. Lamont, “A Small Feature Suppression/Unsuppression System for Preparing B-rep Models for Analysis”, Computer-Aided Design, ACM 1-59593-015-9/05/0006, 2005.
[6] S. Venkataraman, M. Sohoni and R. Rajadhyaksha, “Removal of Blends from Boundary Representation models”, Proceedings of the seventh ACM symposium on Solid modeling and applications, pp. 83-94, 2002.
[7] N. Joshi and D. Dutta, “Feature Simplification Techniques for Freeform Surface Models”, Journal of Computing and Information Science in Engineering, Vol. 3, No. 3, pp. 177-186, 2003.
[8] H. Mounir, A. Nizar and B. Abdelmajid, “CAD Model Simplification Using a Removing Details and Merging Faces Technique”, Journal of Mechanical Science and Technology, Vol. 26,No. 11, pp. 3539-3548, November 2012.
[9] B. Li and J. Liu, “Detail Feature Recognition and Decomposition in Solid Model”, Computer-Aided Design, Vol. 34, No. 5, pp. 405-414, 2002.
[10] 黃駿, “以B-rep為基礎之圓角特徵簡化技術發展”, 國立中央大學碩士論文, 2014.
[11] 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, 2014.
[12] Rhino SDK. Available from: http://wiki.mcneel.com/developer/cplusplusplugins
[13] openNURBS. Available from: http://wiki.mcneel.com/developer/opennurbs
[14] B-rep data structure. Available from: http://wiki.mcneel.com/developer/brepstructure
[15] GrabCAD. Available from: https://grabcad.com

指導教授

賴景義(Lai, Jiing-Yih)

審核日期

2015-8-5

推文