Abstract
Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal feature-based machining sequence.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Symposium on Solid Modeling and Applications |
| Place of Publication | New York, NY, United States |
| Publisher | ACM |
| Pages | 108-118 |
| Number of pages | 11 |
| Publication status | Published - 1999 Jan 1 |
| Externally published | Yes |
| Event | Proceedings of the 1999 5th ACM Symposium on Soild Modeling and Applications - Ann Arbor, MI, USA Duration: 1999 Jun 9 → 1999 Jun 11 |
Other
| Other | Proceedings of the 1999 5th ACM Symposium on Soild Modeling and Applications |
|---|---|
| City | Ann Arbor, MI, USA |
| Period | 99/6/9 → 99/6/11 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
Cite this
Manufacturable feature recognition and its integration with process planning. / Han, Junghyun; Han, Inho.
Proceedings of the Symposium on Solid Modeling and Applications. New York, NY, United States : ACM, 1999. p. 108-118.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Manufacturable feature recognition and its integration with process planning
AU - Han, Junghyun
AU - Han, Inho
PY - 1999/1/1
Y1 - 1999/1/1
N2 - Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal feature-based machining sequence.
AB - Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons may be the separation of feature recognition and process planning. This paper proposes to integrate the two activities, and presents efforts towards it: feature recognition for manufacturability and setup minimization, feature dependency construction, and generation of an optimal feature-based machining sequence.
UR - http://www.scopus.com/inward/record.url?scp=0032689924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032689924&partnerID=8YFLogxK
M3 - Chapter
SP - 108
EP - 118
BT - Proceedings of the Symposium on Solid Modeling and Applications
PB - ACM
CY - New York, NY, United States
ER -