Automatic feature recognition using artificial neural networks to integrate design and manufacturing: Review of automatic feature recognition systems

Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

Volumn 25, Issue 3, 2011, Pages 289-304

  Babić, Bojan R ^a   Nešić, Nenad ^a   Miljković, Zoran ^a  

^a UNIVERSITY OF BELGRADE   (Serbia)

Author keywords

Computer Aided Process Planning; Feature Extraction; ISO 10303 Standard Series; Neural Networks

Indexed keywords

AUTOMATIC FEATURE RECOGNITION; COMPUTER-AIDED PROCESS; FEATURE TECHNOLOGIES; INTEGRATING DESIGN; ISO 10303;

COMPUTER AIDED MANUFACTURING; COMPUTER AIDED PROCESS PLANNING; FEATURE EXTRACTION; MANUFACTURE; PROCESS CONTROL;

NEURAL NETWORKS;

EID: 80054963117     PISSN: 08900604     EISSN: 14691760     Source Type: Journal    
DOI: 10.1017/S0890060410000545     Document Type: Review

References (39)

1. Amaitik, S., & Kiliç, S. E. (2004). Step feature-based intelligent process planning system for prismatic parts. Proc. 11th Int. Conf. Machine Design and Production.
2. Babić, B., Nešić, N., & Miljković, Z. (2008). A review of automated feature recognition with rule-based pattern recognition. Computers in Industry 59(4), 321-337. (Pubitemid 351308126)
3. Bose, N. K., & Liang, P. (1996). Neural Network Fundamentals With Graphs. Algorithms and Applications. New York: McGraw-Hill.
4. Chen, Y. H., & Lee, H. M. (1998). A neural network system for two-dimensional feature recognition. International Journal of Computer Integrated Manufacturing 11(2), 111-117. (Pubitemid 128670874)
5. Chuang, J.-H., Wang, P.-H., & Wu, M.-C. (1999). Automatic classification of block-shaped parts based on their 2D projections. Computers and Industrial Engineering 36, 697-718. (Pubitemid 129304010)
6. Ding, L., & Matthews, J. (2009). A contemporary study into the application of neural network techniques employed to automate CAD/CAM integration for die manufacture. Computers & Industrial Engineering 57, 1457-1471.
7. Ding, L., & Yue, Y. (2004). Novel ANN-based feature recognition incorporating design by features. Computers in Industry 55, 197-222.
8. Dong, J. J., Parsaei, H. R., & Leep, H. R. (1996), Manufacturing process planning in a concurrent design and manufacturing environment. Computers & Industrial Engineering 1, 83-93. (Pubitemid 126397724)
9. Freeman, J. A. (1994). Simulating Neural Networks With Mathematica. Reading, MA: Addison-Wesley.
10. Fu, A. M. N., & Yan, H. (1997). Object representation based on contour features and recognition by a Hopfield-Amari network. Neurocomputing 6, 127-138. (Pubitemid 27321866)
11. Gao, J., Zheng, D. T., & Gindy, N. (2004). Extraction of machining features for CAD/CAM integration. International Journal of Advanced Manufacturing Technology 24, 573-581.
12. Gindy, N. N. Z. (1989). A hierarchical structure for form features. International Journal of Production Research 27(12), 2089-2103.
13. Gindy, N. N. Z., Yue, Y., & Zhu, C. F. (1998). Automated feature validation for creating/editing feature-based component data models. International Journal of Production Research 36(9), 2479-2495. (Pubitemid 128670861)
14. Gupta, S. K., Regli, W. C., & Nau, D. S. (1994). Manufacturing feature instances: which ones to recognize? Proc. ACM Solid Modeling Conf.
15. Hwang, J.-L., & Henderson, M. R. (1992). Applying the perception to the three-dimensional feature recognition. Journal of Design and Manufacture 2(4), 187-198.
16. ISO. (2001). ISO 10303-224. Industrial Automation Systems and Integration-Product Data Representation and Exchange; Part 224: Application Protocol: Mechanical Product Definition for Process Planning Using Machining Features, 2nd ed. Geneva: ISO.
17. Jun, Y., Raja, V., & Park, S. (2001). Geometric feature recognition for reverse engineering using neural networks. International Journal of Advanced Manufacturing Technology 17, 462-470. (Pubitemid 32914794)
18. Lam, S. M., & Wong, T. N. (1999). Recognition of machining features-a hybrid approach. International Journal of Production Research 38(17), 4301-4316.
19. Lankalapalli, K., Chatterjee, S., & Chang, T. C. (1997). Feature recognition using ART2-a self-organizing neural network. Journal of Intelligent Manufacturing 8, 203-214. (Pubitemid 127506238)
20. Lee, J. Y., & Kim, K. (1998). A feature-based approach to extracting machining features. Computer-Aided Design 30(13), 1019-1035. (Pubitemid 128635218)
21. Li, W. D., Ong, S. K., & Nee, A. Y. C. (2000). Recognition of overlapping machining features based on hybrid artificial intelligent techniques. Proc. Institution of Mechanical Engineers 214 B, 739-744.
22. Martin, P. (2005). Some aspects of integrated production and manufacturing. In Advances in Integrated Design and Manufacturing in Mechanical Engineering (Bramley, A., Brissaud, D., Coutellier, D., & McMahon, C., Eds.), pp. 215-226. Amsterdam: Springer.
23. Meeran, S., & Zulkifli, A. H. (2002). Recognition of simple and complex interacting non-orthogonal features. Pattern Recognition 35, 2341-2353. (Pubitemid 34973796)
24. Nezis, K., & Vosniakos, G. (1997). Recognizing 2.5D shape features using a neural network and heuristics. Computer-Aided Design 29(7), 523-539. (Pubitemid 127440542)
25. Onwubolu, G. C. (1992). Manufacturing features recognition using back propagation neural networks. Journal of Intelligent Manufacturing 10, 289-299.
26. Owodunni, O., Mladenov, D., & Hinduja, S. (2002). Extendible classification of design and manufacturing features. CIRP Annals-Manufacturing Technology 51(1), 103-106.
27. Öztürk, N., & Öztürk, F. (2001). Neural network based non-standard feature recognition to integrate CAD and CAM. Computers in Industry 45, 123-135. (Pubitemid 32542229)
28. Öztürk, N., & Öztürk, F. (2004). Hybrid neural network and genetic algorithm based machining feature recognition. Journal of Intelligent Manufacturing 15, 287-298.
29. Prabhakar, S., & Henderson, M. R. (1992). Automatic form-feature recognition using neural-network-based techniques on boundary representations of solid models. Computer-Aided Design 24(7), 381-393.
30. Salomons, O. W. (1995). Computer support in the design of mechanical products, constraint specification and satisfaction in feature based design for manufacturing. PhD Thesis. University of Twente.
31. Shah, J. J., Anderson, D., Kim, Y. S., & Joshi, S., (2001). A discourse on geometric feature recognition from CAD models. Journal of Computing and Information Science in Engineering 1(1), 41-51.
32. Sunil, V. B., & Pande, S. S. (2009). Automatic recognition of machining features using artificial neural networks. International Journal Advanced Manufacturing Technology 41, 932-947.
33. Tolouei-Rad, M. (2006). An approach towards fully integration of CAD and CAM technologies. Journal of Achievements in Materials and Manufacturing Engineering 18(1-2), 31-36.
34. Tseng, Y.-J. (1999). A modular modeling approach by integrating feature recognition and feature-based design. Computers in Industry 39, 113-125.
35. Wong, T. N., & Lam, S. M. (2000). Automatic recognition of machining features from CAD part models. Proc. Institution of Mechanical Engineers 214 B, pp. 515-520.
36. Xu, J., & Bao, Z. (2002). Neural networks and graph theory. Science in China 45 F (1), 1-24.
37. Yue, Y., Ding, L., Ahmet, K., Painter, J., & Walters, M. (2002). Study of neural network techniques for computer integrated manufacturing. Engineering Computations 19(2), 136-157. (Pubitemid 34550357)
38. Zulkifli, A. H., & Meeran, S. (1999a). Decomposition of interacting features using a Kohonen self-organizing feature map neural network. Engineering Applications of Artificial Intelligence 12, 59-78.
39. Zulkifli, A. H., & Meeran, S. (1999b). Feature patterns in recognizing noninteracting and interacting primitive circular and slanting features using ANN. International Journal of Production Research 37(13), 3063-3100.