以B-rep為基礎之圓角特徵簡化技術發展

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姓名

黃駿(Chun Wong) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

以B-rep為基礎之圓角特徵簡化技術發展

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摘要(中)

因應塑膠產品需求的日益升高，需在製造前經過電腦的模擬分析。而建構模型的網格時經常因模型的細小特徵，建構出品質不佳的網格，為了提升品質需以人工的方式逐一調整網格，因而浪費大量的時間。為了減少人工調整之花費時間，本研究將簡化模型中的圓角特徵，以降低模型的複雜程度，藉此提升網格的品質。本研究以了解模型的B-rep資料結構為基礎，擷取圓角的周邊資訊，以此推算簡化後的形狀，並改變其拓撲與幾何資料，以達到簡化之目的。對於圓角簡化後的結果，本研究以商業軟體CADdoctor作為驗證的依據，以得到正確之簡化結果。

摘要(英)

In response to the increasing requirement for plastic products, the design should be analyzed before manufacturing through appropriate computer aided engineering technology. In CAE analysis, meshes with bad quality appear quite often owing to the existing of tiny features on the CAD model. To improve the quality of the analysis, the meshes need to be adjusted one by one, which requires significant manual efforts. In order to reduce the efforts of adjusting meshes manually, the aim of this study is to present a method for the simplification of fillets. By simplifying the fillets, the complexity of the model can be reduced and hence the quality of the meshes can be improved. This study is based on the understanding the B-rep model. It captures the information with respect to a fillet, and calculates the simplified shape of it. By changing the topological and geometric data near the elements on the fillet, the fillet can be simplified. The CADdoctor is employed and compared with the proposed algorithm to verify the feasibility of the proposed method.

關鍵字(中)

★ 特徵簡化
★ B-rep
★ 圓角

關鍵字(英)

★ feature simplification
★ B-rep
★ fillet
★ blend face

論文目次

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 3
1.3.1研究目的 3
1.3.2研究方法 4
1.4論文架構 8
第二章 B-rep資料結構介紹 9
2.1前言 9
2.2 B-rep架構介紹 9
2.3 B-rep修改功能 15
第三章圓角簡化演算法架構與流程 22
3.1前言 22
3.2圓角分類與名詞介紹 23
3.3簡化方法介紹 26
3.3.1邊圓角面分組 31
3.3.2計算簡化後的幾何資料 35
3.3.3加入新元素於B-rep模型 41
3.3.4刪除與圓角相關的元素 45
3.3.5完善拓撲與屬性資料 47
3.3.6懸崖邊圓角之簡化方法 50
第四章案例測試與討論 52
4.1前言 52
4.2圓角簡化演算法之驗證與比較 52
4.3CAD模型測試結果與問題 54
第五章結論與未來展望 65
5.1結論 65
5.2未來展望 66
參考文獻 67

參考文獻

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[10] S. Kim, K. Lee, T. Hong, M. Kim, M. Jung and Y. Song, “An integrated approach to realize multi-resolution of B-rep model”, ACM Symposium on Solid Modeling and Applications, pp. 153-162, 2005.

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

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[13] 游子威，以B-rep為基礎之混接曲面辨識技術發展，國立中央大學機械工學系碩士班論文，2014.
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指導教授

賴景義(Jiing-jih Lai)

審核日期

2014-7-25

推文