Graph Based Method for Lathe Machining Part Model

Process planning is about bridging design to manufacturing in an effective way. Although many methods can be used to recognize CAD and manufacturing feature, one way to do it is by Graph-based Method. Attributed Adjacency Graph (AAG) is develop for each feature of a part model in this case to ease o...

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書目詳細資料
發表在:IOP Conference Series: Materials Science and Engineering
主要作者: 2-s2.0-85098853540
格式: Conference paper
語言:English
出版: IOP Publishing Ltd 2020
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098853540&doi=10.1088%2f1757-899X%2f1003%2f1%2f012142&partnerID=40&md5=01827747d6a3e76143c222063b829b77
實物特徵
總結:Process planning is about bridging design to manufacturing in an effective way. Although many methods can be used to recognize CAD and manufacturing feature, one way to do it is by Graph-based Method. Attributed Adjacency Graph (AAG) is develop for each feature of a part model in this case to ease of planning the machining of the part. Each machining feature will have a unique constructive sub-graph (CG). This paper proposes CG for lathe machining feature. The proposed CG is useful for future development of a generative process planning system of a lathe machining. © Published under licence by IOP Publishing Ltd.
ISSN:17578981
DOI:10.1088/1757-899X/1003/1/012142