薄殼 CAD 模型之內外面類型辨識技術發展

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > Electronic Thesis & Dissertation > Item 987654321/90111

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/90111

Title:	薄殼 CAD 模型之內外面類型辨識技術發展
Authors:	黃羿中;Huang, Yi-Zuang
Contributors:	機械工程學系
Keywords:	倒斜角;內外面;外部輔助面;特徵辨識;分界線;薄殼元件;chamfer;inner and outer faces;outer auxiliary faces;feature recognition;parting line;thin-shell part
Date:	2022-07-19
Issue Date:	2022-10-04 12:11:25 (UTC+8)
Publisher:	國立中央大學
Abstract:	在有限元素分析中，實體網格扮演極重要的角色，以目前網格自動搭建技術而言，四面體網格與邊界層網格最為成熟，但容易在角落產生狹長網格，導致品質不良，直接影響分析結果與效率，為改善此情況，本實驗室致力發展六面體網格與三角柱網格的自動搭建。以射出成型中最常見的薄殼元件為例，殼上坐落多種凸起特徵，包含管、柱、肋與其它複雜凸起結構，以往這類結構皆由工程師手動搭建而成，過程重複且無趣，同時花費許多時間，因此，若能將此類凸起物自動辨識，後續紀錄凸起物之間的關聯性，必能以面配對的方式協助實體網格搭建。綜上所述，本研究以倒斜角辨識、內外面辨識、外部輔助面辨識為主題，開發相關演算法，紀錄模型內外面屬性資料，希望在後續辨識過程中，提供薄殼特徵辨識與薄殼特徵分解相關資料。;Solid meshes play a very important role in finite element analysis. For the time being, the complete automatic construction technology of tetrahedral meshes and boundary layer meshes is mature enough. However, it is easy to generate narrow meshes on the corners, resulting in poor quality. It will directly affect the analysis results and efficiency. In order to improve this situation, our laboratory is committed to developing the automatic construction of hexahedral meshes and prism meshes. Taking the most common thin shell component in injection molding as an example, there are various protrusion-features on the shell, including tubes, columns, ribs and other complex structures. In the past, the meshes of those structures were built manually by engineers. The process was repetitive and boring, and it wasted a lot of time. Therefore, if such protrusions can be recognized automatically and the correlation between the protrusions can be recorded, it will assist in the construction of solid meshes. For the reason, this research focuses on chamfer recognition, inner and outer face recognition, and outer auxiliary face recognition. Develop related algorithms, hoping to record the results of inner and outer face types data during the recognition process, so as to provide relevant information for subsequent feature decomposition and meshes construction.
Appears in Collections:	[Graduate Institute of Mechanical Engineering] Electronic Thesis & Dissertation

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