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...
Published in: | IOP Conference Series: Materials Science and Engineering |
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IOP Publishing Ltd
2020
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098853540&doi=10.1088%2f1757-899X%2f1003%2f1%2f012142&partnerID=40&md5=01827747d6a3e76143c222063b829b77 |
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2-s2.0-85098853540 Zubair A.F.; Nazir B.; Hemdi A.R.; Yusoff H.; Ismail H.; Othman M.; Kataraki P.S.; Panjaitan N.; Ishak A. Graph Based Method for Lathe Machining Part Model 2020 IOP Conference Series: Materials Science and Engineering 1003 1 10.1088/1757-899X/1003/1/012142 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098853540&doi=10.1088%2f1757-899X%2f1003%2f1%2f012142&partnerID=40&md5=01827747d6a3e76143c222063b829b77 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. IOP Publishing Ltd 17578981 English Conference paper All Open Access; Gold Open Access |
author |
Zubair A.F.; Nazir B.; Hemdi A.R.; Yusoff H.; Ismail H.; Othman M.; Kataraki P.S.; Panjaitan N.; Ishak A. |
spellingShingle |
Zubair A.F.; Nazir B.; Hemdi A.R.; Yusoff H.; Ismail H.; Othman M.; Kataraki P.S.; Panjaitan N.; Ishak A. Graph Based Method for Lathe Machining Part Model |
author_facet |
Zubair A.F.; Nazir B.; Hemdi A.R.; Yusoff H.; Ismail H.; Othman M.; Kataraki P.S.; Panjaitan N.; Ishak A. |
author_sort |
Zubair A.F.; Nazir B.; Hemdi A.R.; Yusoff H.; Ismail H.; Othman M.; Kataraki P.S.; Panjaitan N.; Ishak A. |
title |
Graph Based Method for Lathe Machining Part Model |
title_short |
Graph Based Method for Lathe Machining Part Model |
title_full |
Graph Based Method for Lathe Machining Part Model |
title_fullStr |
Graph Based Method for Lathe Machining Part Model |
title_full_unstemmed |
Graph Based Method for Lathe Machining Part Model |
title_sort |
Graph Based Method for Lathe Machining Part Model |
publishDate |
2020 |
container_title |
IOP Conference Series: Materials Science and Engineering |
container_volume |
1003 |
container_issue |
1 |
doi_str_mv |
10.1088/1757-899X/1003/1/012142 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098853540&doi=10.1088%2f1757-899X%2f1003%2f1%2f012142&partnerID=40&md5=01827747d6a3e76143c222063b829b77 |
description |
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. |
publisher |
IOP Publishing Ltd |
issn |
17578981 |
language |
English |
format |
Conference paper |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678482124308480 |