CAE應用之混接面辨識技術發展｜國立中央大學博碩士論文系統

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研究生：	陳星佑 Hsing-yu Chen
論文名稱：	CAE應用之混接面辨識技術發展
指導教授：	賴景義 Jiing-Yih Lai
口試委員:
學位類別：	碩士 Master
系所名稱：	工學院 - 機械工程學系 Department of Mechanical Engineering
論文出版年：	2015
畢業學年度：	103
語文別：	中文
論文頁數：	84
中文關鍵詞：	CAE 、特徵辨識、混接面
外文關鍵詞：	CAE, feature recognition, blend face
相關次數：	點閱：7 下載：0
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自動化特徵辨識在工業上的應用廣泛，特別是CAM以及CAE相關的應用。在CAE應用方面，為了提昇網格的品質，在建立網格時特定的幾何特徵(Hole、Fillet、Rib、Chamfer等)時常需要以人工的方式對網格進行調整，因而浪費大量時間。其中，混接面(Blend face)特徵在複雜網格建構中容易產生品質不良的狹長網格，更會造成在特徵辨識上使拓樸結構複雜化導致其他特徵辨識的困難。因此，本研究以B-rep資料結構為基礎，針對實際CAD模型中的混接面特徵，開發一自動化混接面辨識技術，並改善過去辨識中所會碰到的問題，最後提供相關資訊給相關特徵辨識與CAE分析進行後續應用。程序當中，使用者可修改閾值條件，藉由判斷各面的平滑連續性等條件篩選出混接面，並將結果加以分類。最後將以多組實際案例與商用軟體CADdoctor進行互相驗證，以證明本研究的正確性與嚴謹性。

Automatic feature recognition can be used extensively in industry both in CAE and CAM application. For CAE analysis, we always waste a lot of time to modify the mesh manually at specific features (Hole, Fillet, Rib Chamfer…) to improve the quality of meshes. Especially, blend features always cause the narrow and long mesh in mesh generating, leading to the complexity of the topology structure and the difficulty to recognize other features. Therefore, this research uses the B-rep (Boundary representation) data structure in CAD models to develop automatic blend recognition technology, for improving the identification in the parts, and for providing the interrelated information for other feature recognition and CAE analysis to conduct the follow-up uses. In this program, users are able to modify the threshold, based on determining the smooth continuity or other conditions to recognize blend feature and classify the results. Finally, several real cases are presented and compared with those by CADdoctor, commercial software, to verify the accuracy of the proposed method.

摘要        I
Abstract    II
誌謝        III
目錄        IV
圖目錄        VI
表目錄        VIII
第一章  緒論    1
1    前言    1
2    文獻回顧    3
3    先前研究成果簡介    7
4    研究目的與方法    10
4.1    研究目的    10
4.2    研究方法    11
5    論文架構    13
第二章  混接面分類及相關定義說明    14
1    前言    14
2    混接面分類    14
2.1  相關名詞解釋    15
2.2  邊混接特徵子分類    15
2.3  點混接特徵子分類    18
3  混接面相關定義說明    21
第三章  混接面辨識及分類方法    26
1  前言    26
2   流程介紹    26
3   邊面拓樸資訊計算    29
4   邊分群與面分群    32
4.1   邊分群    32
4.2   曲面分群    34
5   混接面辨識方法    39
6   混接面分類方法    42
6.1   EBF與VBF分類    42
6.2   懸崖邊及相交邊混接面分類    50
第四章  案例測試與討論    53
1   前言    53
2   案例測試與比較    53
3  問題討論    62
4   混接面辨識應用於CAE網格生成    66
第五章  結論及未來展望    68
1   結論    68
2   未來展望    70
參考文獻    71

                                

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