博碩士論文 101323108 完整後設資料紀錄

DC 欄位 語言
DC.contributor機械工程學系zh_TW
DC.creator邱裕凱zh_TW
DC.creatorYu-kai Chiuen_US
dc.date.accessioned2014-7-24T07:39:07Z
dc.date.available2014-7-24T07:39:07Z
dc.date.issued2014
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=101323108
dc.contributor.department機械工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract特徵辨識的用途之一在於協助CAE分析之前置處理,事先辨識出特徵所在,方能針對不同特徵進行網格加密或簡化的動作,以便建構出合適的網格,而幾何特徵(Hole、Fillet、Rib、Chamfer等)是影響網格品質的重要因素之一,本研究將以孔洞特徵為主要辨識對象,加入混接面辨識技術,發展出過去鮮少針對具有混接面的孔洞特徵辨識技術,同時將孔洞的外形進行有系統的歸類,記錄孔洞相關資訊。本研究提出一基於B-rep模型之孔洞特徵辨識技術,期望以自動化取代傳統以肉眼辨識的方式,大幅降低數值分析上所需花費的時間。此外,將以多組實際案例來驗證孔洞辨識技術的準確性與可行性,驗證本研究的可信度。zh_TW
dc.description.abstractThe purpose of feature recognition is for the pre-processing of the CAE analysis. In the beginning of the analysis, various types of features must be recognized, in order to it can generate meshes of high density. The feature recognition can also be used to simplify the features, so as to build high quality meshes. Some geometric features, such as holes, fillets, ribs and chamfers are one of the key factors affecting the quality and accuracy in finite element analysis. This study focuses on the recognition of various kinds of holes. Particularly, a blend face recognition algorithm is added to deal with the cases with fillets at the boundary. Meanwhile, various kinds of holes are classified and the associated data for each of them are recorded. This research presents an approach based on the B-rep model for the recognition of holes. It can replace traditional manual work significantly, and hence improve the efficiency of meshes generation in the CAE analysis. Several realistic CAD models are employed to verify the feasibility of the proposed algorithm.en_US
DC.subject混接面zh_TW
DC.subjectB-repzh_TW
DC.subject孔洞特徵辨識zh_TW
DC.subjectBlend faceen_US
DC.subjectB-repen_US
DC.subjectHole feature recognitionen_US
DC.title以B-rep為基礎之孔洞特徵辨識技術發展zh_TW
dc.language.isozh-TWzh-TW
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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