Today, companies are faced with fierce competition which is characterized by the necessity to bring the higher quality prod ucts and lower priced products to the market in shorter times than their competitors. The key to the success of organizations is the effec tive integration of design and applications following design such as machining, process planning, analysis, assembly, inspection etc. It was seen that effectiveness of the traditional CIM systems is not satisfactory to ensure competitiveness and high productivity. Recently, the concept of CE has been proposed to overcome the problems exist in integration. However, it has been recognized by both academic and industrial environments that efficient application of CE is still not achieved. In this research, STEP based feature recognition using neural networks is presented to develop feature based model and to enhance the integration of production activities in CE.
J.H. Mize, "Fundamentals of Integrated Manufacturing," Guide to Systems Integration , Edited by J.H. Mize, Industrial Engineering and Management Press, Norcross, GA, pp. 5-21, 1994.
2.
H.H. Jo , H.R. Parsaei and W.G. Sullivan, "Principles of Concurrent Engineering, Concurrent Engineering," Edited by Parsaei, H.R. and Sullivan, W.G., Chapman & Hall, pp. 3-23, 1993.
3.
N.J. Brookes and C.J. Backhouse, "Understanding CE implementation : a case-study approach," International Journal of Production Research, 36(11), pp. 3035-3054, 1998.
4.
B. Prasad, R.S. Morenc and R.M. Rangan, "Information management for CE: Research Issues," Concurrent Engineering: Research and Applications, 1, pp. 3-20, 1993.
5.
T.H. Liu and G.W. Fischer, "Developing Feature Based Manufacturing Applications Using PDES/STEP " Concurrent Engineering : Research and Applications, 1, pp. 39-50, 1993.
6.
J. Kemmerer , "STEP: The Grand Experience," Edited by J. Kemmerer, National Institute of Standards and Technology: NIST Special Publication 939, US Government Printing Office , Washington, 1999.
7.
J.J. Shah and A. Mathew, "Experimental Investigation of the STEP Form Feature Information Model ," Computer Aided Design, 23(4), pp. 282-296, 1991.
8.
C.P. Yi and Y.S. Chou, "Representation of Standard Mechanical Components in a STEP Based Product Data Management," International Journal of Computer Applications in Technology, 12(1), pp. 16-26, 1999.
9.
F. Ozturk, "The use of machining features in set-up planning and fixture design to interface CAD to CAPP ," International Journal of Vehicle Design, 18(5), pp. 558-573, 1997.
10.
S. Kashyap, "An integrated methodology for fixture design, analysis, and optimization ," Ph.D. Thesis, Rensselaer Poly-technic Institute, Troy, New York, 1997.
11.
B. Logar and J. Peklenik, "Feature based part data base design and automatic forming of part families for GT," Annals of the CIRP, 40(1), pp. 153-156, 1991.
12.
Y.M. Chen and C.L. Wei, "Computer aided feature based design for net shape manufacturing," Computer Integrated Manufacturing Systems, 10(2), pp. 147-164, 1997.
13.
Ozturk, F., Kaya, N., Alankus, O.B. and Sevinc, S., 1996, Machining features and algorithms for set-up planning and fixture design, Computer Integrated Manufacturing Systems , 9(4), 207-216.
14.
K. Ishii and R.A. Miller, "Design representation for manufacturability evaluation in CAD: beyond feature based design," Computers in Engineering, 1, pp. 37-44, 1992.
15.
R. Jones, S. Mitchell and S. Newman, "Feature-based systems for the design and manufacture of sculptured products," International Journal of Production Research, 31(6), pp. 1441-1452, 1993 .
16.
R.K. Li , C.Y. Lin and H.H. Wu , "Feature modification framework for feature based design systems," International Journal of Production Research, 33(2), pp. 549-563, 1995.
17.
M.C. Wu and C.R. Liu, "Analysis on machined feature recognition techniques based on B-rep ," Computer Aided Design, 28(8), pp. 603-615, 1996.
18.
K. Nezis and G. Vosniakos, "Recognizing 2.5D shape features using a neural network and heuristics ," Computer Aided Design, 29(7), pp. 523-539, 1997.
19.
J.J. Shah and M.T. Rogers, "Expert form feature modeling shell," Computer Aided Design, 20(9), pp. 515-524, 1988.
20.
M.A. Chamberlain , A. Joneja and T.C. Chang, "Protrusion features handling in design and manufacturing planning," Computer Aided Design , 25(1), pp. 19-28, 1993.
21.
S. Joshi and T.C. Chang, "Graph based heuristics for recognition of machined features from 3D solid model," Computer Aided Design, 20(2), pp. 58-66, 1988.
22.
P. Gavankar and M.R. Henderson, "Graph based extraction of protrusions and depressions from boundary representations," Computer Aided Design, 22(7), pp. 442-450, 1990.
23.
M.C. Fields and D.C. Anderson, "Fast feature extraction for machining applications," Computer Aided Design, 26(11), pp. 803-813, 1994.
24.
S.R.T. Kumara , C.Y. Kao, M.G. Gallagher and R. Kasturi, "3D interacting manufacturing feature recognition," Annals of the CIRP, 43( 1 ), pp. 133-136, 1994.
25.
J. Corney and D.E.R. Clark, "Method for finding holes and pockets that connect multiple faces in 2.5D objects," Computer Aided Design, 23(10), pp. 658-668, 1991.
26.
B.S. Prabhu and S.S. Pande, "Automatic extraction of manufacturable features from CADD models using syntactic pattern recognition techniques," International Journal of Production Research, 37(6), pp. 1259-1281, 1999.
27.
V.S. Kulkarni and S.S. Pande, "A system for automatic extraction of 3D part features using syntactic pattern recognition techniques," International Journal of Production Research, 33(6), pp. 1569-1586, 1995.
28.
J.H. Han, 3D geometric reasoning algorithms for feature recognition, Ph.D. Thesis, University of Southern California, USA, 1996.
29.
C.E. Ferreira and S. Hinduja, "Convex hull based feature recognition method for 2.5D components," Computer Aided Design , 22(1), pp. 41-49, 1990.
30.
J. Dong and S. Vijayan, "Manufacturing feature determination and extraction—Part I: optimal volume segmentation," Computer Aided Design, 29(6), pp. 427-440, 1997(a).
31.
J. Dong and S. Vijayan, "Manufacturing feature determination and extraction—Part II: a heuristic approach," Computer Aided Design, 29(7), pp. 475-484, 1997(b).
32.
Y.S. Kim, "Recognition of form features using convex decomposition," Computer Aided Design, 24(9), pp. 461-472, 1992.
33.
Y.S. Kim and K.D. Roe, "Conversions in form feature recognition using convex decomposition ," Computers in Engineering, 1, pp. 233-244, 1992.
34.
E. Wang, "Using automatic feature recognition to interface CAD to CAPP" Computers in Engineering, 1, pp. 215-231, 1992.
35.
V. Allada and S. Anand, "Machine understanding of manufacturing features," International Journal of Production Research, 34(7), pp. 1791-1819, 1996.
36.
A.H. Zulkifli and S. Meeran, "Feature Patterns in Recognizing non-interacting and interacting primitive, circular and slanting features using a neural network ," International Journal of Production Research, 37(13), pp. 3063-3100, 1999 .
37.
A. Trabelsi and S. Meeran, "Recognition and interpretation of interacting and non-interacting features using spatial decomposition and Hamiltonian path search," International Journal of Production Research, 34(10), pp. 2701-2725, 1996 .
38.
T.C. Chang, Expert Process Planning for Manufacturing, Addison Wesley Pub. Co., 1990.
39.
S. Prabhakar and M.R. Henderson, "Automatic form feature recognition using neural-network based techniques on boundary representations of solid models," Computer Aided Design, 24(7), pp. 381-393, 1992.
40.
C.H. Dagli, P. Poshyanonda and A. Bahrami, "Neuro computing and concurrent engineering," Concurrent Engineering , Edited by H.R. Parsaei and W.G. Sullivan, Chapman & Hall, London, pp. 465-486, 1993.
41.
Y.H. Chen and H.M. Lee, "A neural network system for two-dimensional feature recognition," International Journal of Computer Integrated Manufacturing, 11 (2), pp. 111-117, 1998.
42.
J.L. Hwang, Applying the Perceptron to Three-Dimensional Feature Recognition, PhD Thesis, Arizona State University, USA, 1991 .
43.
C.C.H. Chan , Artificial Neural Network Based Feature Recognition and Grammar Based Feature Extraction to Integrate Design and Manufacturing , Ph.D. Thesis, University of Iowa, USA, 1994.
44.
R.P. Lippmann , "An introduction to computing with neural nets, Artificial neural networks: theoretical concepts," Edited by V. Vemuri, Computer Society of the IEEE , Washington, pp. 36-54, 1988.
45.
V. Vemuri, "Artificial neural networks: an introduction, Artificial neural networks: theoretical concepts," Edited by V. Vemuri , Computer Society of the IEEE, Washington, pp. 1-11, 1988.
46.
A.T.C. Goh , "Back propagation neural networks for modeling complex systems," Artificial Intelligence in Engineering, 9, pp. 143-151, 1995.
47.
Y. Chung and A. Kusiak, "Grouping parts with a neural network," Journal of Manufacturing Systems, 13(4), pp. 262-275, 1993.
48.
S.P. Curram and J. Mingers, "Neural networks, decision tree induction and discriminant analysis: an empirical comparison," Journal of the Operational Research Society, Vol. 45(4), pp. 440-450, 1994.
49.
A. Kusiak and H. Lee, "Neural computing based design of components for cellular manufacturing ," International Journal of Production Research, 34(7), pp. 1777-1790, 1996 .
50.
Y. Yoon, G. Swales and T.M. Margavio, "A comparison of discriminant analysis versus artificial neural networks ," Journal of the Operational Research Society, Vol. 44( 1 ), pp. 51-60, 1993.
51.
Y.F. Zhang , A.Y.C. Nee, J.Y.H. Fuh, K.S. Neo and H.K. Loy, "A neural network approach to determining optimal inspection sampling size forCMM," Computer Integrated Manufacturing Systems, 9(3), pp. 161-169, 1996.
52.
52. Solid Edge, Help Manual, Intergraph Corp., USA, 1997.
53.
Trajan-Neural Network Simulator, User Manual Part 1 and Part 2, Trajan Software Ltd., UK, 1998.
54.
A.C. Lin, S.Y. Lin and S.B. Cheng, "Extraction of manufacturing features from a feature-based design model ," International Journal of Production Research, 35(12), pp. 3249-3288, 1997 .
