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A hybrid approach to automatic generation of NC programs

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: This paper describes AGNCP, an intelligent system for integrating commercial CAD and CAM systems for 2.5D milling operations at a low cost. Design/methodology/approach: It deals with different machining problems with the aid of two expert systems. It recognizes machining features, determines required machining process plans, cutting tools and parameters necessary for generation of NC programs. Findings: The system deals with different machining problems with the aid of two expert systems. The first communicates with CAD system for recognizing machining features. It is developed in LISP as machining features can be properly represented by LISP codes is ideal for manipulating lists and input data. The second expert system requires extensive communications with several databases for retrieving tooling and machining information and VP-Expert shell was found to be the most suitable package to perform this task. Research limitations/implications: 2.5D milling covers a wide range of operations. However, work is in progress cover 3D milling operations. The system can also be modified to be used for other activities such as turning, flame cutting, electro discharge machining (EDM), punching, etc. Practical implications: Use of AGNCP resulted in improved efficiency, noticeable time savings, and elimination of the need for expert process planners. Originality/value: The paper describes a method for eliminating the need for extensive user intervention for CAD/CAM integration.
Rocznik
Strony
83--89
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
  • Manufacturing Engineering Department, Shahid Rajaee University, PO Box 16785-163, Tehran, Iran
autor
  • Manufacturing Engineering Department, Shahid Rajaee University, PO Box 16785-163, Tehran, Iran
Bibliografia
  • [1] J.H. Vandenbrande and A.A.G. Requicha, 1993, Spatial reasoning for the automatic recognition of machionable features in solid models, IEEE Pattern analysis and machine intelligence, 15 (12), 1269-1285.
  • [2] V.S Kulkarni and S.S Pande, 1995, A system for automatic extraction 3D part features using syntactic pattern recognition techniques, International Journal of Production Research, 33 (6), 1569-1580.
  • [3] L. Sabomin and F. Villeneuve, 1996, OMEGA, An expert CAD system, Advences in Engineering software, 25 (1), 51-59.
  • [4] R.B Karadkar and S.S Pande, 1996, Feature based automatic CNC code generation for prismatic parts, Computers in Industry, 28 (2) 137-150.
  • [5] X. Liu, 2000, CFACA: A component framework for feature based design and process planning, Computer Aided Design, 32 (7), 397-408.
  • [6] P.G Maropoulos, R.P Paker, and K.Y.G Paramor, 2000, Integration of tool selection with design; Part 1: Featurte creation and selection of operations and tools, Journal of materials processing technology, 107 (13), 127-134.
  • [7] L. Patil and S.S. Pande, 2002, An intelligent feature process planning system for prismatic parts, International Journal of Production Research, 40 (17), 4431-4447.
  • [8] L. Peled, A. Fischer, and M. Shpitalni, Multiresolution Representation of 2D CSG Models, Annals of the CIRP 2004, 53 (1) p. 143.
  • [9] G. Thakar, K. Shanker and V.K. Jain, 1993, An integrated process planning and NC part programming system for rotational components, Computers in Industry, 21, 341-357.
  • [10] M. Kalta and B.J. Davies, 1994, STEP pre-processor to integrate CAD and CAPP for turned components, Int. J. Adv. Manuf. Technol., 9 (5) 291-304.
  • [11] S.D. Jackson and R.O. Mittal, 1993, Automatic generation of 2-axis laser-cutter NC machine program and path planning from CAD, Computers in Industry, 21, 223-231.
  • [12] J. Opas and M. Mantyla, 1994, Techniques for automatic part program generation, Advances in Engineering Software, 20 (2 & 3), 141-155.
  • [13] S. Hinduja and D. Sandiford, An Optimum Two-tool Solution for Milling 2½D Features from Technological and Geometric Viewpoints, CIRP Annals 2004, 53 (1) p. 77.
  • [14] B. Bidanda and R.E. Billo, 1996, Parametric design and NC code generation of countersink cutting tools, International Journal of Computer Integrated Manufacturing, 9 (2) 105112.
  • [15] F. Kimura, H. Ariyoshi, H. Ishikawa, Y. Naruko, and H. Yamato, Capturing Expert Knowledge for Supporting Design and Manufacturing of Injection Molds, CIRP Annals 2004, 53 (1) p. 147.
  • [16] W. Eversheim, H. Rozenfled, W. Botchler and R. Graessler, 1995, A methodology for an integrated design and process planning based on a concurrent engineering reference model, Annals of the CIRP, 44 (1) 403-406.
  • [17] J. Huang, T. Wang, L. Wan, X. Zhang and J. Zhou, 1994, Step-based CAD/CAPP/CAM integrated systems: CADMIS, Engineering Data Management: Integrating the Engineering Enterprise, ASME Database Symposium, ASME, New York, USA, 155-161.
  • [18] Z.D. Zhou, J.D. Zhou, Y.P. Chen, S.K. Ong, A.Y.C. Nee, Geometric Simulation of NC Machining based on STL Models, CIRP Annals 2003, 52 (1) p.129.
  • [19] S.D. Jackson and R.O. Mittal, 2001, Automatic generation of 2-axis laser-cutter NC machine program and path planning from CAD. Computers in Industry, 21, 223-231.
  • [20] V. Allada and S. Anand, 1995, Feature-based modeling approaches for integrated manufacturing: state-of-the-art survey and future research directions, I. J. Computer Integrated Manufacturing, 8 (6) 411-440.
  • [21] S.H. Yeo, 1994, Knowledge-based feature recognizer for machining, Computer Integrated Manufacturing systems, 7 (1) 29-37.
  • [22] J. Dong and H.R. Parsaei 2004, Design and implementation of a feature-based automated process planning (FBAPP) system, Computers & Industrial Engineering, 27 (1-4).
  • [23] A. Senthil Kumar, F.K. Salim and A.Y.C. Nee, 1996, Automatic recognition of design and manufacturing features from prismatic parts, Int. J. Adv. Manuf. Technol., 11 (2) 138145.
  • [24] M.Y. Jung and K.H. Lee, 1996, A CAD/CAPP interface for complex rotationally symmetric parts, Int J Prod. Res., 34 (1) 227-251.
  • [25] S. Subrahmanyam and M. Wozny, 2003, Overview of automatic feature recognition techniques for computer-aided process planning, Computers in Industry, 26 (1) 1-21.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4daba9e2-a577-4505-b4a3-d0210662a88d
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