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SİNİRSEL AĞLAR İLE PARÇA AİLELERİNİN OLUŞTURULMASI

Part Families Formation with Neural Networks

Journal Name:

  • Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

Publication Year:

  • 2003

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
The formation of part families is considered as auxiliary process to automation of applications following design such as analysis, test and group technology. A number of traditional techniques have been proposed to form the part families. Recently, significant consideration is given to apply the artificial techniques in part family formation process. In this paper, an approach, which incorporates neural network and feature recognition techniques, is presented to form the part families as being based on design and manufacturing attributes. Part families which consist of three dimensional parts are automatically generated from design data base with the proposed approach.
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Abstract (Original Language): 
Parça ailelerinin oluşturulması işlemi, analiz, test, grup teknolojisi gibi tasarım sonrası uygulamaların otomasyonuna yardımcı olmaktadır. Parça ailelerinin oluşturulmasında kullanılan çok sayıda geleneksel yöntemin yanında, son yıllarda yapay zeka tekniklerini kullanan gruplama çalışmalarına da rastlanmaktadır. Bu makalede, parça ailelerinin oluşturulmasında, parçaların tasarım özellikleri yanında, sinirsel ağlarla unsur tanıma sisteminin birlikte kullanılmasıyla, parçaların imalat özelliklerini de dikkate alan bir yaklaşım önerilmektedir. Önerilen yaklaşım, tasarım modelinden otomatik olarak üç boyutlu parça ailelerini oluşturabilmektedir.
FULL TEXT (PDF): 
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  • 1
93-99
  • Turkish

REFERENCES

References: 

1. Babaev, A., (1998) Bulanık Mantık ve Uygulamaları, U.Ü. Mühendislik-Mimarlık Fakültesi Yayınları,
Bursa.
2. Chen, Y.H. and Lee, H.M., (1998) A neural network system for two-dimensional feature recognition,
International Journal of Computer Integrated Manufacturing, 11(2), 111-117.3. Chung, Y. and Kusiak, A., (1994) Grouping parts with a neural network, Journal of Manufacturing
Systems, 13(4), 262-275.
4. Dağlı, C.H., Poshyanonda, P. and Bahrami, A., (1993) Neuro-computing and concurrent engineering,
Concurrent Engineering, pp. 465-486, Ed. Parsaei, H.R. and Sullivan, W.G., Chapman & Hall, Great
Britain, Cambridge.
5. Dong, J. and Vijayan, S., (1997) Manufacturing feature determination and extraction-Part I: optimal
volume segmentation, Computer-Aided Design, 29(6), 427-440.
6. Dürr, H. and Schramm, M., (1997) Feature based feedback into the early stages of design, European
Journal of Operational Research, 100, 338-350.
7. Freeman, J.A. and Skapura, D.M., (1992) Neural Networks: Algorithms, Applications and
Programming Techniques, Addison-Wesley, United States of America.
8. Gwiazda, A. and Knosala, R., (1997) Group technology using neural nets, Journal of Material Processing
Technology, 64, 181-188.
9. Han, J.H. and Requicha, A.G., (1997) Integration of feature based design and feature recognition,
Computer Aided Design, 29(5), 393-403.
10. Kumara, S.R.T., Kao, C.Y., Gallagher, M.G. and Kasturi, R., (1994) 3-D Interacting manufacturing
feature recognition, Annals of the CIRP, 43(1), 133-136.
11. Lee, S.Y. and Fischer, G.W., (1999) Grouping parts based on geometrical shapes and manufacturing
attributes using a neural network, Journal of Intelligent Manufacturing, 10, 199-209.
12. Lin, A.C., Lin, S.Y. and Cheng, S.B., (1997) Extraction of manufacturing features from a feature-based
design model, International Journal of Production Research, 35(12), 3249-3288.
13. Nezis, K. and Vosniakos, G., (1997) Recognizing 2½ D shape features using a neural network and
heuristics, Computer Aided Design, 29(7), 523-539.
14. Öztürk, N. and Öztürk, F., (2000) Computationally Efficient Approach for the Integration of Design and
Manufacturing in CE, Journal of Concurrent Engineering: Research and Applications, 8(2), 144-156.
15. Öztürk, N. and Öztürk, F., (2001) Neural networks based non-standard feature recognition to integrate
CAD and CAM, Journal of Computers in Industry, 45(2), 123-135.
16. Pilot, T. and Knosala, R., (1998) The application of neural networks in group technology, Journal of
Material Processing Technology, 78, 150-155.
17. Prabhakar, S. and Henderson, M.R., (1992) Automatic form-feature recognition using neural-networkbased
techniques on boundary representations of solid models, Computer Aided Design, 24(7), 381-
393.
18. Trabelsi, A. and Meeran, S., (1996) Recognition and interpretation of interacting and non-interacting
features using spatial decomposition and Hamiltonian path search, International Journal of Production
Research, 34(10), 2701-2725.
19. Trajan-Neural Network Simulator, (1998) User Manual Part 1 and Part 2, Trajan Software Ltd., UK.
20. Wu, M.C. and Liu, C.R., (1996) Analysis on machined feature recognition techniques based on B-rep,
Computer Aided Design, 28(8), 603-615.

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