Abstract
The problems of multiple interpretations and feature interactions that occur in attributed adjacency (AA)-based feature extraction systems result from a lack of robustness in the recognition algorithm when deviations from the feature definitions occur. This stems from the fact that individual graphs are stored in the feature taxonomy and once multiple graphs interact the interaction issue occurs. In this paper, a new method is presented for defining features based on a type of hint-based taxonomy, which is rare in boundary representation schemes. This new method still uses the traditional AA graph and matrix to define the part but does not extract subgraphs. It is shown that identifying only one face and then proceeding can find a feature. The modified attributed adjacency (MAA) scheme is used to define the part which allows more information to be stored in the part representation (graph or matrix), and this allows multiple interpretations to be solved.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Han JH, Requicha AAG (1998) Feature recognition from CAD models. Proc IEEE Comput Graph Appl 18(2):80–94
Wu MC, Liu CR (1996) Analysis on machined feature recognition techniques based on B-Rep. Comput Aided Des 28(8):603–616
Tseng Y-J, Joshi SB (1994) Recognising multiple interpretations of interacting machining feature. Comput Aided Des 20(9):667–688
Zhu H, Menq CH (2002) B-Rep model simplification by automatic fillet/round suppressing for efficient automatic feature recognition. Comput Aided Des 34:109–123
Gaines DM, Hayes CC (1999) CUSTOM-CUT: a customisable feature recognizer. Comput Aided Des 31:85–100
Shah JJ, Mantyla M (1995) Parametric and feature-based CAD/CAM. Wiley, New York
Venuvinod PK, Yuen CF (1994) Efficient automated geometric feature recognition through feature coding. Ann CIRP 43(1):413–416
Joshi S, Chang TC (1988) Graph-based heuristics for recognition of machined features from a 3D solid model. Comput Aided Des 20(2):58–66
Singh N (1996) Systems approach to computer-integrated design and manufacturing. Wiley, New York
Shah JJ (1991) Assessment of features technology. Comput Aided Des 23(5):331–343
Zhang C, Chan KW, Chen YH (1997) A method for recognising features interactions and feature components within the interactions. Int J Adv Manuf Technol 13:713–722
Kumar S, Salim FK, Nee AYC (1996) Automatic recognition of design and machining features from prismatic parts. Int J Adv Manuf Technol 11:136–145
Chang C-H, Melkanoff MA (1989) NC machine programming and software design. Prentice-Hall, Upper Saddle River, NJ
McCormack AD, Ibrahim RN (2002) Process planning using adjacency based feature extraction. Int J Adv Manuf Technol 20(11):817–823
Han JH, Pratt M, Regli WC (200) Manufacturing feature recognition from solid models: a status report. IEEE Trans Robot Automat 16(6):782–796
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ibrahim, R., McCormack, A. Robustness and generality issues of feature recognition for CNC machining. Int J Adv Manuf Technol 25, 705–713 (2005). https://doi.org/10.1007/s00170-003-1929-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-003-1929-y