A review of machining feature recognition methodologies

International Journal of Computer Integrated Manufacturing

Volumn 23, Issue 4, 2010, Pages 353-368

  Verma, Arvind Kumar ^a   Rajotia, Sunil ^a  

^a JAI NARAIN VYAS UNIVERSITY   (India)

Author keywords

CAPP; Feature recognition; Graph based; Hint based; Neural network based; Volume decomposition

Indexed keywords

GRAPH THEORY; GRAPHIC METHODS; INFORMATION USE; PATTERN RECOGNITION SYSTEMS; PRODUCT DESIGN;

CAPP; FEATURE RECOGNITION; GRAPH-BASED; HINT-BASED; VOLUME DECOMPOSITION;

MANUFACTURE;

EID: 77951199879     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/09511921003642121     Document Type: Review

References (95)

1. Abdel-Malek, K., Yeh, H., and Othman, S., 1998. Swept volumes: void and boundary identification. Computer-Aided Design, 30 (13), 1009-1018.
2. Babic, B., Nesic, N., and Miljkovic, Z., 2008. A review of automated feature recognition with rule-based pattern recognition. Computer in Industry, 59, 321-337.
3. Bidarra, R. and Bronsvoort, W.F., 2000. Semantic feature modelling. Computer-Aided Design, 32 (3), 201-225.
4. Bidarra, R., Kraker, K.J., and Bronsvoort, W.F., 1998. Representation and management of feature information in a cellular model. Computer-Aided Design, 30 (4), 301-313.
5. Bidarra, R., Madeira, Neels, J.W.J., and Bronsvoort, W.F., 2005. Efficiency of boundary evaluation for a cellular model. Computer-Aided Design, 37 (12), 1266-1284.
6. Bronsvoort, W.F. and Noort, A., 2004. Multiple-view features modelling for integral product development. Computer-Aided Design, 36 (10), 929-946.
7. Chakraborty, S. and Basu, A., 2006. Retrieval of machining information from feature patterns using artificial neural networks. International Journal of Advanced Manufacturing Technology, 27 (7-8), 781-787.
8. Chuang, S.H. and Henderson, M.R., 1990. Three dimensional shape pattern recognition using vertex classification and vertex-edge graph. Computer Aided Design, 22 (6), 377-387.
9. Corney, J., 1993. Graph based feature recognition. Thesis (PhD). University of Heriot-Watt, Edinburgh.
10. Corney, J. and Clark, D.E.R., 1993. Face based feature recognition: Generalising special cases. International Journal of Computer Integrated Manufacturing, 6 (1&2), 39-50.
11. Ding, L. and Matthews, J., 2009. A contemporary study into the application of neural network techniques employed to automate CAD/CAM integration for die manufacture. Computer and Industrial Engineering, 57 (4), 1457-1471.
12. Fangfang, Y., Baorui, D., Wenjie, R., Guolei, Z., and Hongzhen, C., 2008. Slicing recognition of aircraft integral panel generalized pocket. Chinese Journal of Aeronautics, 21 (6), 585-592.
13. Ferreira, J.C.E. and Hinduja, S., 1990. Convex hull-based feature recognition method for 2.5D components. Computer-Aided Design, 22 (1), 41-49.
14. Floriani,L.D., 1989. Feature extraction from boundarymodels of three-dimensional objects.IEEETransactions on Pattern Analysis and Machine Intelligence, 11 (8), 785-798.
15. Gao, S. and Shah, J.J., 1998. Automatic recognition of interacting machining features based on minimal condition subgraph. Computer Aided Design, 30 (9), 727-739.
16. Gavankar, P. and Henderson, M.R., 1990. Graph based extraction of protrusions and depressions from boundary representations. Computer-Aided Design, 22 (7), 442-450.
17. Han, J., Regli, W.C., and Brooks, S., 1998. Hint-based reasoning for feature recognition: status report. Computer-Aided Design, 30 (13), 1003-1007.
18. Han, J.H., 1996. 3D geometric reasoning algorithms for feature recognition. Thesis (PhD). University of Southern California, USA.
19. Han, J.H. and Requicha, A.A.G., 1998. Feature recognition form CAD models. IEEE Computer Graphics and Applications, 18 (2), 80-94.
20. Han, J.H. andRosen,D., 1998. Special panel session for feature recognition at the 1997 ASME Computers in Engineering Conference. Computer-Aided Design, 30 (13), 979-982.
21. Han, J.H., Han, I., Lee, E., and Yi, J., 2001. Manufacturing feature recognition toward integration with process planning. IEEE Transactions of Systems, Man and Cybernetics -Part B: Cybernetics, 31 (3), 373-380.
22. Han, J.H., Pratt, M., and Regli, W.C., 2000. Manufacturing feature recognition from solid models: A status report. IEEE Transactions on Robotics and Automation, 16 (6), 782-796.
23. Hayasi, M.T. and Asiabanpour, B., 2009. Extraction of manufacturing information form design-by-feature solid model through feature recognition. International Journal of Advanced Manufacturing Technology, 44 (11-12), 1191-1203
24. Henderson, M.R., Srinath, G., Stage, R., Walker, K., and Regli, W., 1994. Boundary representation-based feature recognition. In: J.J. Shah, M. Mantyla, and D.S. Nau, eds. Advances in Feature Based Machining, Elsevier Science, 15-38.
25. Huang, Z. and Yip-Hoi, D., 2002. High-level feature recognition using feature relationship graphs. Computer-Aided Design, 34 (8), 561-582.
26. Huang, Z., Xie, B., Ma, L., and Wei, X., 2006. Feature conversion based on decomposition and composition of swept volumes. Computer-Aided Design, 38 (8), 857-873.
27. Ismail, N., Bakar, N.A., and Juri, A.H., 2002. Feature recognition patterns for form features using boundary representation models. International Journal of Advanced Manufacturing Technology, 20 (8), 553-556.
28. Ismail, N., Bakar, N.A., and Juri, A.H., 2005. Recognition of cylindrical and conical features using edge boundary classification. International Journal of Machine Tools and Manufacture Design, Research and Applications, 45 (6), 649-655.
29. Ji, Q. and Marefat, M.M., 1995. Bayesian approach for extracting and identifying features. Computer-Aided Design, 27 (6), 435-454.
30. Ji, Q. and Marefat, M.M., 2003. A Dempster-Shafer approach for recognizing machine features from CAD models. Pattern recognition, 36 (6), 1355-1368.
31. Joshi, S. and Chang, T.C., 1988. Graph-based heuristics for recognition of machined features from a 3D solid model. Computer-Aided Design, 20 (2), 58-66.
32. Kailash, S.B., Zhang, Y.F., and Fuh, J.Y.H., 2001. A volume decomposition approach to machining feature extraction of casting and forging components. Computer-Aided Design, 33 (8), 605-617.
33. Kim, Y., 1992. Recognition of form features using convex decomposition. Computer Aided Design, 24 (9), 461-476.
34. Kim, Y.S. and Wang, E., 2002. Recognition of machining features for cast then machined parts. Computer-Aided Design, 34 (1), 71-87.
35. Kim, Y.S. and Wilde, D.J., 1992. A convergent convex decomposition of polyhedral objects. ASME Journal of Mechanical Design, 114 (3), 468-476.
36. Korosec, M., Balic, J., and Kopac, J., 2005. Neural network based manufacturing evaluation of free form machining. International Journal of Machine tools and Manufacture, 45 (1), 13-20.
37. Laakko, T. and Mantyla, M., 1993. Feature modelling by incremental feature recognition. Computer-Aided Design, 25 (8), 479-492.
38. Lam, S.M. and Wong, T.N., 2000. Recognition of machining features - A hybrid approach. International Journal of Production Research, 38 (17), 4301-4316.
39. Lee, J.Y. and Kim, K., 1998. A feature based approach to extracting machining features. Computer-Aided Design, 30 (13), 1019-1035.
40. Li, W.D., Ong, S.K., and Nee, A.Y.C., 2003. A hybrid method to recognizing interacting machining features. International Journal of Production Research, 41 (9), 1887-1908.
41. Lim, T., Corney, J., and Clark, D.E.R., 2001. Laminae-based feature recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (9), 1043-1048.
42. Lim, T., Medellin, T.C., Corney, J.R., Ritchie, J.M., and Davies, J.B.C., 2005. Edge-based identification of DPfeatures on free-form solids. IEEE Transaction on Pattern Analysis and Machine Intelligence, 27 (6), 851-860.
43. Little, G., Tuttle, J.R., Clark, D.E.R., and Corney, J.R., 1998. The Heriot-Watt FeatureFinder: CIE97 results. Computer-Aided Design, 30 (13), 991-996.
44. Locket, H.L. and Guenov, M.D., 2005. Graph-based feature recognition for injection moulding based on mid-surface approach. Computer-Aided Design, 37 (2), 251-262.
45. Marefat, M.M. and Kashyap, R.L., 1990. Geometric reasoning for recognition of three dimensional object features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 (10), 949-965.
46. Marefat, M.M. and Kashyap, R.L., 1992. Automatic construction of process plans from solid model representations. IEEE Transactions on Systems, Man, and Cybernetics, 22 (5), 1097-1115.
47. McCormack, A.D. and Ibrahim, R.N., 2002. Process planning using adjacency-based features. International Journal of Advanced Manufacturing Technology, 20 (11), 817-823.
48. Miao, H.K., Sridharan, N., and Shah, J.J., 2002. CAD- CAM integration using machining features. International Journal of Computer Integrated Manufacturing, 15 (4), 296-318.
49. Neeraj, H.S. and Gurumurthy, B., 2001. Automatic extraction of machining primitives with respect to preformed stock for process planning. Journal of Manufacturing Systems, 20 (3), 210-222.
50. Nezis, K. and Vosniakos, G., 1997. Recognising 2.5D shape features using neural network and heuristics. Computer Aided Design, 29 (7), 523-539.
51. Onwubolu, G.C., 1999. Manufacturing features recognition using backpropagation neural networks. Journal of Intelligent Manufacturing, 10 (3/4), 289-299.
52. Owodunni, O. and Hinduja, S., 2002. Evaluation of existing and new feature recognition algorithms. Part 1: theory and implementation. Proceedings Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 216, 839-851.
53. Owodunni, O. and Hinduja, S., 2005. Systematic development and evaluation of composite methods for recognition of three-dimensional subtractive features. Proceedings of Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 219, 871-890.
54. Ozturk, N. and Ozturk, F., 2001. Neural network-based nonstandard feature recognition to integrate CAD and CAM. Computer in Industry, 45 (2), 123-135. (Pubitemid 32542229)
55. Pal, P. and Kumar, A., 2002. A hybrid approach for identification of 3D features from CAD database for manufacturing support. International Journal of Machine Tools Manufacture, 42 (2), 221-228. (Pubitemid 33018904)
56. Perng, D.B., Chen, Z., and Li, R.K., 1990. Automatic 3D machining features extraction from 3D CSG solid input. Computer-Aided Design, 22 (5), 285-295.
57. Prabhakar, S. and Henderson, M.R., 1992. Automatic formfeature recognition using neural network based techniques on boundary representations of solid models. Computer-Aided Design, 24 (7), 381-393.
58. Prabhu, B.S. and Pande, S.S., 1999. Automatic extraction of manufacturable features from CADD models using syntactic pattern recognition techniques. International Journal of Production Research, 37 (6), 1259-1281.
59. Qamhiyah, A.Z., Venter, R.D., and Benhabib, B., 1996. Geometric reasoning for the extraction of form features. Computer-Aided Design, 28 (11), 887-903. (Pubitemid 126395187)
60. Rahmani, K. and Arezoo, B., 2006. Boundary analysis and geometric completion for recognition of interacting machining features. Computer-Aided Design, 38 (8), 845-856. (Pubitemid 44128459)
61. Rahmani, K. and Arezoo, B., 2007. A hybrid hint-based and graph-based framework for recognition of interacting milling features. Computers in Industry, 58 (4), 304-312. (Pubitemid 46427915)
62. Regli, W.C., 1995. Geometric algorithm for recognition of features from solid models. Thesis (PhD). Maryland University, USA.
63. Regli, W.C. and Gaines, D.M., 1997. An overview of the NIST repository for design, process planning, and assembly. Computer-Aided Design, 29 (12), 895-905.
64. Sakurai, H., 1995. Volume decomposition and feature recognition, Part I: Polyhedral objects. Computer-Aided Design, 27 (11), 833-843. (Pubitemid 126381881)
65. Sakurai, H. and Dave, P., 1996. Volume decomposition and feature recognition, Part II: Curved objects. Computer Aided Design, 28 (6/7), 519-537. (Pubitemid 126381881)
66. Sakurai, H. and Gossard, D.C., 1990. Recognising shape features in solid models. IEEE Transactions on Computer Graphics and Application, 10 (5), 22-32.
67. Shah, J.J., Anderson, D., Kim, Y.S., and Joshi, S., 2001. A discourse on geometric feature recognition from CAD models. Journal of Computing and Information Science in Engineering, 1 (1), 41-51.
68. Shah, J.J., Mantyla, M., and Nau, D.S., 1994. Advances in Feature Based Manufacturing. Elsevier.
69. Sonthi, R. and Gadh, R., 1998. MMCs and PPCs as constructs of curvature regions for form feature determination. Computer-Aided Design, 30 (13), 997-1001. (Pubitemid 128635215)
70. Sridharan, N. and Shah, J.J., 2004. Recognition of multi axis milling features: Part I - topological and geometric characteristics. Journal of Computing and Information Science in Engineering, 4 (3), 242-250. (Pubitemid 40122869)
71. Sridharan, N. and Shah, J.J., 2005. Recognition of multi axis milling features: Part II - algorithm and implementation. Journal of Computing and Information Science in Engineering, 5 (1), 25-34. (Pubitemid 40496895)
72. Stefano, P.D., Bianconi, F., and Angelo, L. Di, 2004. An approach for feature semantics recognition in geometric models. Computer-Aided Design, 36 (10), 993-1009.
73. Sundararajan, S. and Wright, P.K., 2000. Identification of multiple feature representation by volume decomposition for 2.5-dimensional components. Journal of Manufacturing Science and Engineering, 22 (2), 280-290.
74. Sundararajan, S. and Wright, P.K., 2004. Volumetric feature recognition for machining components with free form surfaces. Computer-Aided Design, 36 (1), 11-25.
75. Sunil, V.B. and Pande, S.S., 2009. Automatic recognition of machining features using artificial neural networks. International Journal of Advanced Manufacturing Technology, 41 (9-10), 932-947.
76. Trika, S.N. and Kashyap, R.L., 1994. Geometric reasoning for extraction of manufacturing features in iso-oriented polyhedrons. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16 (11), 1087-1100.
77. Vandenbrande, J.H., 1990. Automatic recognition of machinable features in solid models. Thesis (PhD). University of Rochester, USA.
78. Vandenbrande, J.H. and Requicha, A.A.G., 1993. Spatial reasoning for the automatic recognition of machinable features in solid models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15 (12), 1269-1285.
79. Verma, A.K. and Rajotia, S., 2004. Feature vector: A graphbased feature recognition methodology. International Journal of Production Research, 42 (16), 3219-3234.
80. Verma, A.K. and Rajotia, S., 2006. Automatic identification of aspect vectors and geometrical validation of 2.5D parts. International Journal of Production Research, 44 (5), 999-1013. (Pubitemid 43245743)
81. Verma, A.K. and Rajotia, S., 2008. A hint-based machining feature recognition system for 2.5D parts. International Journal of Production Research, 46 (6), 1111-1137. (Pubitemid 350157679)
82. Verma, A.K. and Rajotia, S., 2009. Hybrid machining feature recognition system. Int. J. of Manufacturing research, 4 (3), 343-361.
83. Wang, E. and Kim, Y.S., 1998. Form feature recognition using convex decomposition: results presented at the 1997 ASME CIE Feature Panel Session. Computer-Aided Design, 30 (13), 983-989. (Pubitemid 128635213)
84. Wang, E., Kim, S.Y., and Woo, Y., 2005. Feature recognition using combined convex and maximal volume decompositions. In: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 24-28 September, Long Beach, California, 469-475.
85. Woo, Y., Wang, E., Kim, Y.S., and Rho, H.M., 2005. A hybrid feature recogniser for machining process planning. CIRP Annals, 54 (1), 397-400.
86. Woo, Y., 2003. Fast cell-based decomposition and applications to solid modelling. Computer-Aided Design, 35 (11), 969-977.
87. Woo, Y. and Sakurai, H., 2002. Recognition of maximal feature by volume decomposition. Computer Aided Design, 34 (11), 195-207. (Pubitemid 33076567)
88. Xu, X.W. and Newman, S.T., 2006. Making CNC machine tools more open, interoperable and intelligent - a review of the technologies. Computers in Industry, 57 (2), 141-152.
89. Xu, X.W., Wang, H., Mao, J., Newman, S.T., Kramer, T.R., Proctor, F.M., and Michaloski, J.L., 2005. STEPcomplaint NC research; the research for intelligent CAD/CAPP/CAM/CNC integration. International Journal of Production Research, 43 (17), 3703-3743. (Pubitemid 41648305)
90. Ye, X.G., Fuh, J.Y.H., and Lee, K.S., 2001. A hybrid method for recognition of undercut features from moulded parts. Computer-Aided Design, 33 (14), 1023-1034.
91. Yuen, C.F. and Venuvinod, P.K., 1999. Geometric feature recognition: coping with the complexity and infinite variety of features. International Journal of Computer Integrated Manufacturing, 12 (5), 439-452.
92. Yuen, C.F., Wong, S.Y., and Venuvinod, P.K., 2003. Development of a generic computer-aided process planning support system. Journal of Materials processing Technology, 139 (1-3), 394-401.
93. Yusof, Y., 2009. STEP-NC- compliant systems for the manufacturing environment. Proceeding of World Academy of Science, Engineering and Technology, 37, 935-940.
94. Zhou, X., Qiu, Y., Hua, G., Wang, H., and Ruan, X., 2007. A feasible approach to the integration of CAD and CAM. Computer-Aided Design, 39 (4), 324-338. (Pubitemid 46560486)
95. Zulkifli, A.H. and Meeran, S., 1999. Feature patterns in recognizing non-interacting and interacting primitive, circular and slanting features using neural network. International Journal of Production Research, 37 (13), 3063-3100.