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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Motipalli, V. V. Satish K. Krishnaswami, Prakash |
| Copyright Year | 2004 |
| Abstract | This paper describes a novel method for automated process planning for rough boring of turned components with arbitrary internal geometry from a semi-finished stock. Earlier work has been reported on process planning for boring of components with monotonic internal geometry made from bar stock. This paper addresses the more general problem of process planning of parts with non-monotonic internal feature list from arbitrary given initial geometry, i.e., from a casting or from a semi-finished stock. With the algorithms developed, we are able to achieve full automation of all aspects of the process plan, including operations sequencing, parameter selection, NC code generation, etc. Thus, it becomes possible to go from design to NC code in a fully automated fashion. In the present work we focus on a tightly defined part family, which results in very simple but robust automation algorithms. This is in contrast to much of the reported work on automated process planning, which generally targets broad part families, leading to complex algorithms that fall short of complete design-to-NC automation. |
| Sponsorship | Design Engineering Division and Computers and Information in Engineering Division |
| Starting Page | 69 |
| Ending Page | 77 |
| Page Count | 9 |
| File Format | |
| ISBN | 0791846970 |
| DOI | 10.1115/DETC2004-57655 |
| e-ISBN | 0791837424 |
| Volume Number | Volume 4: 24th Computers and Information in Engineering Conference |
| Conference Proceedings | ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Language | English |
| Publisher Date | 2004-09-28 |
| Publisher Place | Salt Lake City, Utah, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Geometry Design Casting Surface roughness Algorithms Production planning |
| Content Type | Text |
| Resource Type | Article |
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