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ÜÇ BOYUTLU PARÇA BİLGİLERİ VE UNSUR TANIMA YAKLAŞIMLARI ÜZERİNE BİR ARAŞTIRMA

A SURVEY ON 3D PART DATA AND FEATURE RECOGNITION APPROACHES

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2006

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
To integrate the CAD and CAM, extraction of manufacturing data on parts designed in any CAD system is required. The manufacturing data belonging to these parts within CAD database is usually not sufficient for the contemporary CAD/CAM applications. Therefore, many research works have been performed to define the parts and the features on the parts, and to utilize these definitions in CAD/CAM applications. Various part data and feature recognition methods have been developed in consequence of these research works. This paper was prepared by scanning the content of twenty two research works published on part data and feature recognition. The algorithms in this paper were classified according to part data and feature recognition methods.
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Abstract (Original Language): 
BDT (Bilgisayar Destekli Tasarım) ve BDÜ'nün (Bilgisayar Destekli Üretim) entegrasyonu için herhangi bir BDT sisteminde tasarlanan parçaların üretim bilgilerinin çıkarılması gerekmektedir. Bu parçaların BDT veri tabanındaki üretim bilgileri çağdaş BDT/BDÜ uygulamalarında genellikle yetersiz kalmaktadır. Bundan dolayı, parçaları ve parçalar üzerindeki unsurları tanımlamak ve bu tanımlamaları BDT/BDÜ uygulamalarında kullanmak için bir çok çalışma yapılmıştır. Bu çalışmalar neticesinde çeşitli parça bilgileri ve unsur tanımlama yöntemleri geliştirilmiştir. Bu makale, parça bilgileri ve unsur tanıma konusunda yayınlanan yirmi iki çalışmanın içeriği taranarak hazırlanmıştır. Bu makalelerdeki algoritmalar parça ve unsur tanıma yöntemlerine göre sınıflandırılmıştır.
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  • Turkish

REFERENCES

References: 

Chuang, S. H., Henderson, M. R. 1990. Three-Dimensional Shape Pattern Recognition Using Vertex Classification and Vertex-Edge Graphs. Computer Aided Design. 22 (6), 377-387.
Çiçek,
A
. 2005. Bilgisayar Destekli Parça Tanıma Sisteminin Geliştirilmesi ve Motor Montajına Uygulanması. Doktora tezi. Gazi Üniversitesi Fen Bilimleri Enstitüsü. Ankara.
Dereli, T., Filiz, İ. H. 2002. A Note on The Use of STEP for Interfacing Design to Process Planning. Computer Aided Design. 34, 1075-1085.
Ding, L., Yue, Y. 2004. Novel ANN-Based Feature Recognition Incorporating Design by Features. Computers in Industry. 55, 197-222.
Falcidieno, B., Giannini, F. 1989. Automatic Recognition and Representation of Shape Based Features in A Geometric Modeling System. Computer Vision, Graphics and Image Processing. 48, 93-123.
Gao, S., Shah, J. J. 1998. Automatic Recognition of Interacting Machining Features Based on Minimal Condition Subgraph. Computer Aided Design. 30
(9), 727-739.
Gulesin, M., Jones, R. M. 1994. Face Oriented Neighbouring Graph (FONG): A Part Representing Scheme for Process Planning. Computer Integrated Manufacturing Systems. 7 (3), 213-218.
Han, J. H., Kang, M., Choi, H. 2001. STEP-Based Feature Recognition for Manufacturing Cost Optimization. Computer Aided Design. 33, 671-686.
Joshi, S., Chang, T. C. 1988. Graph-Based Heuristics for Recognition of Machined Features From A 3D Solid Model. Computer Aided Design.
20 (2), 58-66.
Lee, J. Y., Kim, K. 1999. Generating Alternative Interpretations of Machining Features. International Journal of Advanced Manufacturing Technology. 15, 38-48.
Lee, J. Y., Kim, K. 1998. A Feature-Based Approach to Extracting Machining Features.
Computer Aided Design. 30 (13), 1019-1035.
Li, B., Liu, J. 2002. Detail Feature Recognition and Decomposition in Solid Model. Computer Aided
Design. 34, 405-414.
Lockett, H. L., Guenov, M. D. 2005. Graph-Based Feature Recognition for Injection Moulding Based on A Mid-Surface Approach. Computer-Aided
Design. 37, 251-262.
Mehalawi, M., Miller, R. A. 2003. A Database System of Mechanical Components Based on Geometric and Topological Similarity Part I: Representation. Computer Aided Design. 35, 83-94.
Mehalawi, M., Miller, R. A. 2003. A Database System of Mechanical Components Based on Geometric and Topological Similarity Part II: Indexing, Retrieval, Matching and Similarity Assessment. Computer Aided Design. 35, 95-105.
Nezis, K., Vosniakos, G. 1997. Recognizing 2V2D Shape Features Using A Neural Network and Heuristics. Computer Aided Design. 29 (7), 523¬539.
Sakurai, H. 1995. Volume Decomposition and Feature Recognition: Part I - Polyhedral Objects.
Computer Aided Design. 27 (11), 833-843.
Sandiford, D., Hinduja, S. 2001. Construction of Feature Volumes Using Intersection of Adjacent Surfaces. Computer Aided Design. 33, 455-473.
Trappey, A. J. C., Lai, C. S. 1995. A Data Representation Scheme for Sheet Metal Parts: Expressing Manufacturing Features and Tolerance Requirements. Journal of Manufacturing Systems. 14 (6), 393-405.
Wang, E., Kim, Y. S. 1998. Form Feature Recognition Using Convex Decomposition.
Computer Aided Design. 30 (13), 983-989.
Wang, M. T., Chamberlain, M. A., Joneja, A., Chang, T. C. 1993. Manufacturing Feature Extraction and Machined Volume Decomposition in A Computer Integrated Feature Based Design and Manufacturing Planning Environment. Computers in
Industry. 23, 75-86.
Woo, Y., Sakurai, H. 2002. Recognition of Maximal Features by Volume Decomposition. Computer
Aided Design. 34, 195-20.

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