Abstract
Process planning for machined parts typically requires that a part be described through machining features such as holes, slots and pockets. This paper presents a novel feature finder, which automatically generates a part interpretation in terms of machining features, by utilizing information from a variety of sources such as nominal geometry, tolerances and attributes, and design features. The feature finder strives to produce a desirable interpretation of the part as quickly as possible. If this interpretation is judged unacceptable by a process planner, alternatives can be generated on demand. The feature finder uses a hint-based approach, and combines artificial intelligence techniques, such as blackboard architecture and uncertain reasoning, with the geometric completion procedures first introduced in the OOFF system previously developed at USC.
| Original language | English |
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| Pages | 569-578 |
| Number of pages | 10 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 Database Symposium - Boston, MA, USA Duration: 1995 Sept 17 → 1995 Sept 20 |
Other
| Other | Proceedings of the 1995 Database Symposium |
|---|---|
| City | Boston, MA, USA |
| Period | 95/9/17 → 95/9/20 |
Bibliographical note
Funding Information:The researchr eportedi n this paper was supportedi n part by the National ScienceF oundation under grant DDM-92-14996,a nd the Industrial Associateso f the ProgrammableA utomation Laboratory, Institute for Roboticsa ndI ntelligentS ystemsU, niversityo f Southern California. Researcho n integrationw ith FBDS is being conductedin collaborationw ith theF raunhoferI nstitute for ComputerG raphics,D armstadtG, ermany.W ork on interfacingw ith theC IMPLEX systemw ass upportedb y CAM-I. An earlierv ersiono f this paperw asp resenteda t the 1995A SME Computerisn EngineeringC onference.
ASJC Scopus subject areas
- Software