|
HKUST Institutional Repository >
Industrial Engineering and Logistics Management >
IELM Journal/Magazine Articles >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1783.1/1987
|
| Title: | Geometric reasoning for optimizing backward growing-based feature recognition |
| Authors: | Joneja, Ajay |
| Keywords: | Feature recognition
CAPP |
| Issue Date: | 1997 |
| Citation: | Computers and industrial engineering, v. 33, no. 2-4, 1997, p. 489-492 |
| Abstract: | Feature recognition has been a weak link in most implementations of integrated CAD/CAM systems for machining. A method called Backward Growing was recently suggested as a simple, but effective means to recognize machining features from the boundary representation (brep) of a designed part. The method promises, through its simplicity, to be applicable to many varieties of machined shapes. However, it has some drawbacks which create difficulties in making intelligent decisions about machining of shapes. In this work, we deal with two such difficulties, and propose a methodology of solving them. We also present some of the work done in implementing an enhanced version of backward growing as a functional part of an open-architecture system for process planning called OSCAP. |
| Rights: | Computers and industrial engineering © copyright (1997) Elsevier. The Journal's web site is located at http://www.sciencedirect.com |
| URI: | http://hdl.handle.net/1783.1/1987 |
| Appears in Collections: | IELM Journal/Magazine Articles
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| cie96fr.pdf | pre-published version | 93Kb | Adobe PDF | View/Open |
|
All items in this Repository are protected by copyright, with all rights reserved.
|
