PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

CAD 3D models decomposition in manufacturing processes

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Data exchange between different computer systems in design and manufacturing processes planning is a very important issue of computer aided engineering. Computer Aided Process Planning (CAPP) systems require properly pre-processed design data. Such data refer not only to geometry, but also to additional information such as dimensions, dimensional and geometrical tolerances and surface roughness. This paper focuses on data exchange between a parametric CAD 3D system and a prototype CAPP system. The proposed CAPP system enables realization of main steps of manufacturing process preparation. Special attention is paid to the data transfer from the CAD system to a design database and from the design database to a feature recognition module of the CAPP system. The article presents feature recognition algorithms and the structure of technological features database. Authors developed also graphical user interface which allows displaying a part geometry as well as recognized features and their parameters.
Rocznik
Strony
20--29
Opis fizyczny
Bibliogr. 24 poz., rys., wykr.
Twórcy
autor
  • Faculty of Mechanical Engineering, Wroclaw University of Technology, Łukasiewicza 5, 50-371 Wroclaw, Poland
autor
  • Faculty of Mechanical Engineering, Wroclaw University of Technology, Łukasiewicza 5, 50-371 Wroclaw, Poland
Bibliografia
  • [1] E. Chlebus, Techniki komputerowe CAx w inżynierii produkcji, WNT, Warszawa, 2000.
  • [2] B. Denkena, J. Schmidt, M. Krüger, Data mining approach for knowledge-based process planning, Procedia Technology 15 (2014) 406–415, strony.
  • [3] J. Duda, J. Pobożniak, Projektowanie procesów i systemów wytwarzania w środowisku PLM Delmia, Mechanik (2011), Nr 1.
  • [4] L. Wang, Machine availability monitoring and machining process planning, CIRP Journal of Manufacturing Science and Technology 6 (4) (2013) 263–273, strony.
  • [5] Ch. Shankar, A. Basu, Retrieval of machining information from feature patterns using artificial neural networks, The International Journal of Advanced Manufacturing Technology 27 (7) (2006) 781–787.
  • [6] N. Öztürk, F. Öztürk, Hybrid neutral network and genetic algorithm based machining feature recognition, Journal of Intelligent Manufacturing 15 (2004) 287–298.
  • [7] S. Wang, X. Lu, X.X. Li, W.D. Li, A systematic approach of process planning and scheduling, Journal of Cleaner Production 87 (2015) 914–929.
  • [8] J. Gao, D. Zheng, N. Gindy, Extraction of machining features for CAD/CAM integration, International Journal of Advanced Manufacturing Technology 24 (2004) 573–581, strony.
  • [9] P. Holland, P. Standring, H. Long, D. Mynors, Feature extraction from STEP (ISO 10303) CAD drawing files for metal forming process selection in an integrated design system, Journal of Material Processing Technology 125–126 (2002) 446–455, strony.
  • [10] R. Ibrahim, A. McCormack, Robustness and generality issues of feature recognition for CNC machining, International Journal of Advanced manufacturing Technology 25 (2005) 705–713, strony.
  • [11] C. Mok, F. Wong, Automatic feature recognition for plastic injection moulded part design, International Journal of Advanced Manufacturing Technology 27 (2006) 1058–1070, strony.
  • [12] J. Gao, D. Zheng, N. Gindy, D. Clark, Extraction/conversion of geometric dimensions and tolerances for machining features, International Journal of Advanced Manufacturing Technology 26 (2005) 405–414, strony.
  • [13] S. Chakraborty, A. Basu, Retrieval of machining information from feature patterns using artificial neutral networks, International Journal of Advanced Manufacturing Technology 27 (2006) 781–787, strony.
  • [14] M. Kang, J. Han, J. Moon, An approach for interlinking design and process planning, Journal of Materials Processing Technology 139 (2003) 589–595, strony.
  • [15] V.B. Sunil, S.S. Pande, Automatic recognition of machining features using artificial neutral networks, International Journal of Advanced Manufacturing Technology 41 (2009) 932–947, strony.
  • [16] X. Zhou, Y. Qiu, G. Hua, H. Wang, X. Ruan, A feasible approach to the integration of CAD and CAPP, Computer- Aided Design 39 (2007) 324–338.
  • [17] S.M. Amaitik, S.E. Kiliç, An intelligent process planning system for prismatic parts using STEP features, International Journal of Advanced Manufacturing Technology 31 (2007) 978–993.
  • [18] V. Rameshbabu, M.S. Shunmugam, Hybrid feature recognition method for setup planning from STEP AP-203, Robotics and Computer-Integrated Manufacturing. 25 (2009) 393–408.
  • [19] K. Rahmani, B. Arezoo, A hybrid hint-based and graph-based framework for recognition of interacting milling features, Computers in Industry 58 (2007) 304–312, strony.
  • [20] B. Babic, N. Nesic, Z. Miljkovic, A review of automated feature recognition with rule-based pattern recognition, Computers in Industry 59 (4) (2008) 321–337.
  • [21] R. Ranjan, N. Kumar, R.K. Pandey, M.K. Tiwari, Automatic recognition of machining features from a solid model using the 2D feature pattern, International Journal of Advanced Manufacturing Technology 26 (2005) 861–869, strony.
  • [22] J. Pobożniak, Two stage approach to feature recognition for computer aided process planning, Advances in Manufacturing Science and Technology 29 (4) (2005).
  • [23] E. Chlebus, K. Krot, M. Kuliberda, Dekompozycja modeli CAD 3D w planowaniu procesów technologicznych, in: XV Konferencja ‘‘Metody i środki projektowania wspomaganego komputerowo’’, 2005.
  • [24] K. Krot, Opracowanie systemu wspomagającego planowanie procesów obróbkowych metoda obiektów elementarnych., (Ph.D. thesis), Wroclaw, 2005.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2d2232b5-e067-43c9-8a15-37ebf04022fa
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.