研究生: |
洪品潔 Hung, Pin-Chieh |
---|---|
論文名稱: |
以NX開發自動化頂針排配系統 Using NX to Develop an Automatic Ejector Pin Placement System |
指導教授: |
林清安
Alan C. Lin |
口試委員: |
趙振綱
Chen-Kang Chao 陳湘鳳 Hsiang-Feng Chen 林隆華 Lung-Hua Lin |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 中文 |
論文頁數: | 87 |
中文關鍵詞: | CAD 、塑膠射出成型 、二次開發 、頂針排配 、特徵辨識 |
外文關鍵詞: | CAD, Plastic injection molding, Application programming interface, Ejector pin placement, Feature recognition |
相關次數: | 點閱:312 下載:0 |
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目前模具設計中的頂針排配大都仰賴設計人員的實務經驗,工程師往往花費許多時間在分析射出成型件的幾何形狀及使用CAD軟體建立頂針的幾何模型,且其實務經驗需經年累月累積,不容易傳承。有鑒於此,本論文使用Siemens NX軟體所提供的二次開發工具NX Open,搭配Visual Studio .NET C#,開發「自動化頂針排配系統」,以利模具設計工程師能省卻建立頂針之3D幾何模型的時間,將精力集中於分析頂針排配之恰當性,並使模具公司能傳承頂針設計/排配的經驗。
本論文首先建立一套特徵辨識系統,嘗試透過特徵辨識技術取代肉眼辨識,由射出件的3D幾何模型自動化辨識出下列6種幾何特徵:Hole、Pocket、Rib、Boss、Pillar及Blank,接著參考模具設計工程師以幾何特徵來排列及配置各式頂針的實務經驗,來擬定頂針排配的演算法,並進行系統程式開發,以利系統能依據已辨識出的特徵形狀自動計算頂針的大小及位置,並將頂針組裝於模座上。
本論文除了說明特徵辨識及頂針排配之演算法外,並以多個實例來驗證本研究所開發之「自動化頂針排配系統」的實用性。
According to current industry standards and practices, the ejector pin placement in mold design is greatly dependent on the engineers’ practical experience via a heuristic approach. Analyzing the geometric configuration and modeling of the CAD model of the ejector pin occupied much engineers’ time. This thesis uses an application programming interface NXOpen provided in Siemens’s 3D CAD/CAM software NX and Visual Studio .NET C#, to develop an automatic ejector pin placement system. This system conduces the engineers to focus on developing a proper ejector pin placement pattern instead of spending time on establishing 3D models, also in the process, are able to transmit the knowledge of designing the ejector pin placement.
This thesis proposes a feature recognition system instead of using a manual approach to identify the prominent features. Through this system, features are automatically extracted from the plastic injection model corresponding to any of the six different variables: ‘Hole’, ‘Pocket’, ‘Rib’, ‘Boss’, ‘Pillar’ and ‘Blank’. The process of designing the automatic ejector pin placement mechanism replaces the engineer’s practical skills of analyzing the geometric and location of the ejector pins. With the proposed automatic ejector pin placement system, the engineer’s role to implement the framework above will be rendered unnecessary through automation. The corresponding size and location of the ejector pins will be calculated and assembled precisely in the plastic injection mold.
In this thesis, other than presenting the feature recognition system and ejector pin placement algorithm, verification of the performance and feasibility of the proposed system was determined through various test cases.
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