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A study of different manufacturing feature recognition methods

Identyfikatory
Warianty tytułu
Konferencja
Mechanics 2008 / International Scientific Conference (VI; 2008; Rzeszow, Poland)
Języki publikacji
EN
Abstrakty
EN
To represent 3-D objects properly, several types of techniques have been developed in the field of solid modeling. Solid modeling techniques describe 3-D products and in recent year we have seen a growth by the rapid multiplication of solid modelers and 3-D CAD systems. The geometric elements of the solid model will be analyzed and features those are recognized as manufacturing entities will be extracted and organized according to topological manner. To detect manufacturing information from solid models produced by computer-aided design (CAD), feature recognition technique is used that focuses on the design and implementation of algorithms. Automatic feature recognition (AFR) technique is an important tool for achieving a true integration of design and manufacturing stages during the product development, and considered to be a critical component for integration of CAD and CAM. This paper is concerned with the overview of different feature recognition research focusing on four of the major feature recognition algorithmic approaches. Detailed description of algorithm for each approach will be presented along with some examples.
Rocznik
Strony
221--228
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
autor
autor
  • Dublin City University, Ireland
Bibliografia
  • 1. Pratt M.J., Wilson P.R: Requirements for support of form features in a solid modelling system. CAM-I, R-85-ASPP-01, 1985.
  • 2. Henderson M.R., Chuang S.N., Ganu P., Gavankar P: Graph-based feature extraction. Arizona State University, 1990.
  • 3. Joshi S., Chang T.C: Graph based Heuristics for Recognition of Machined Features from a 3-D Solid Model. Computer Aided Design, 20:58{66, 1988.
  • 4. Barwick S.P., Bowyer A.: Feature technology technical report. University of Bath, 011/1993.
  • 5. Henderson M.R., Anderson D.C: Computer recognition and extraction of form features. A CAD/CAM link, Computers in Industry 5, pp. 329-339, 1984.
  • 6. Kyprianou L.K: Shape classification in computer-aided design. PhD thesis, Christ College, University of Cambridge, Cambridge, United Kingdom, July 1980.
  • 7. Christensen N.C., Emory J.D., Smith M.L: Phoenix method for automatic conversion between geometric models. Allied Signal Incorporated, Kansas City, MO. US Patent 728367, 1983.
  • 8. Requicha A.A., Vandenbrande J.H.: Form features for mechanical design and manufacturing. ASME Computers in Engineering Conference, Anaheim, CA, USA, Book number G0502A-1989, eds. Riley. D et al, pp47-52, Aug 1988.
  • 9. Arab M.: Requirements and architecture of CAM oriented CAD systems for design and manufacture of mechanical parts,. PhD Dissertation, University of California, Los Angles, USA, 1982.
  • 10. Li R. and Yu M.: A framework for prismatic part-data generation-unit-machined loop concept. In International Journal Computer Integrated Manufacturing, Vol. 3, No. 2, pp. 96-111, 1990.
  • 11. Perng D., Chen Z., Li R.: Automatic 3D machining feature extraction from 3D CSG solid input. Computer Aided Design, Vol. 22, No. 5, pp. 285-295, June 1990.
  • 12. Vandenbrande J.H., Requicha A.A.G.: Special resoning for the automatic recognition of machinable features in solid models. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 15, pp. 1-17, Dec 1993.
  • 13. Vandenbrande J.H., Requicha A.A.G.; Geometric computation for the recognition of spatially interacting machinable features. In Shah J.J., Mantyla M. and Nau D.S. Advances in Feature Based Manufacturing, pp. 83-106, Elsevier Science, B.V., Amsterdam, The Netherlands, 1994.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0028-0003
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