Automated extraction of dimensional inspection features from part computer-aided design models
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 2377-2396 |
| Journal / Publication | International Journal of Production Research |
| Volume | 43 |
| Issue number | 12 |
| Publication status | Published - 15 Jun 2005 |
Link(s)
Abstract
Metrological inspection planning is among the least explored computer-aided process planning (CAPP) domains. This paper examines the basic issues involved in automated dimensional inspection planning that works within an environment of a generic CAPP support system. A new algorithmic approach based on multi-attributed spatial graphs is developed for extracting inspection features. The features of specific interest to the planner are selected by applying a sequential filtering method. The method is capable of extracting many common types of inspection features (polyhedral, cylindrical and free-form) found in industrial practice. © 2005 Taylor & Francis Group Ltd.
Research Area(s)
- Computer-aided inspection process planning, Dimensional measurement, Feature recognition
Citation Format(s)
Automated extraction of dimensional inspection features from part computer-aided design models. / Wong, F. S Y; Chuah, K. B.; Venuvinod, P. K.
In: International Journal of Production Research, Vol. 43, No. 12, 15.06.2005, p. 2377-2396.
In: International Journal of Production Research, Vol. 43, No. 12, 15.06.2005, p. 2377-2396.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
