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Design of Machining Processes with Dynamic Manipulation of Product Models

  • M. Inui
  • F. Kimura
Part of the Artificial Intelligence in Industry Series book series (AI INDUSTRY)

Abstract

Process planning is recognized as a critical bridge between designing and manufacturing stages [1]. In this process, manufacturing information required for realizing the product is determined, based on the complete machine part definition. Therefore, computerized process planning is said to be a key technology for constructing computer-integrated manufacturing (CIM) systems. Recently many types of automated process planning systems have been constructed. Expert system techniques are introduced for such systems in order to utilize expert production engineers’ knowledge for generating process plans. However, such “expert” process-planning systems still have some problems in achieving higher levels of automation.

Keywords

Process Planning Product Model Coordinate Frame Form Feature Sheet Metal Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Chang TC, Wysk RA. An introduction to automated process planning systems. Prentice-Hall, Englewood Cliffs, 1985, pp 18–22Google Scholar
  2. 2.
    Lillehagen FM, Dokken T. Towards a methodology for constructing product modeling database in CAD. In: File structure and data bases for CAD. North-Holland, Amsterdam, 1982, pp 59–91Google Scholar
  3. 3.
    Wysk RA et al. Automated process planning systems — an overview of ten years of activities. Preprints of 1st CIRP working seminar on computer aided process planning, 1985, pp 13–18Google Scholar
  4. 4.
    Descotte Y, Latombe J-C. Making compromises among antagonist constraints in a planner. Artif Intell, 1985; 27: 183–217CrossRefGoogle Scholar
  5. 5.
    Tsang JP. The Propel process planner, Proceedings CIRP manufacturing seminar for process planning, Penn State, 1987, pp 71–75Google Scholar
  6. 6.
    Berenji HR, Khoshnevis B. Use of artificial intelligence in automated process planning. Comput Mech Eng, 1986; September: 47–55Google Scholar
  7. 7.
    Matsushima K et al. The integration of CAD and CAM by application of artificial intelligence techniques, Ann CIRP 1982; 31: 329–332CrossRefGoogle Scholar
  8. 8.
    Nau DS, Gray M. SIPS: an application of hierarchical knowledge clustering to process planning. Proceedings ASME symposium on knowledge-based expert systems for manufacturing, ASME WAM 1986, PED vol 24, pp 219–225Google Scholar
  9. 9.
    Choi BK, Barash MM. STOPP: An approach to CADCAM integration. Comput-Aided Des, 1985; 17: 162–168CrossRefGoogle Scholar
  10. 10.
    van’t Erve AH, Kals HJJ. XPLANE, a generative computer aided process planning system for part manufacturing. Ann CIRP 1986; 35: 325–329CrossRefGoogle Scholar
  11. 11.
    Kimura F et al. A uniform approach to dimensioning and tolerancing in product modeling. Preprints CAPE’86 1986: 1: 166–178Google Scholar
  12. 12.
    Gallaire H, Minker J. Logic and data bases. Plenum Press, New York, 1978MATHGoogle Scholar
  13. 13.
    Weinreb D, Moon D. Flavors: message passing in the Lisp machine. AI memo 602, MIT Artificial Intelligence Laboratory, 1981Google Scholar
  14. 14.
    Kimura F. GEOMAP-III, designing solids with free-form surfaces. IEEE Comput Graphics Applic 1984; 4: 58–72CrossRefGoogle Scholar
  15. 15.
    Inui M et al. Extending process planning capabilities with dynamic manipulation of product models, Proceedings CIRP manufacturing seminar for process planning 1987, Penn State, pp 273–280Google Scholar
  16. 16.
    CAM-I Inc. Product definition data interface. System specification document, SS560120100, DR-84-GM-03, CAM-I Inc. 1984Google Scholar
  17. 17.
    Kowalski R. Logic for problem solving. North-Holland, Amsterdam, 1979, pp 133–146MATHGoogle Scholar
  18. 18.
    Inui M et al. Automatic process planning for sheet metal parts with bending simulation, Proceedings ASME symposium on intelligent and integrated manufacturing analysis and synthesis, ASME WAM 1987, PED vol. 25, pp 245–258Google Scholar
  19. 19.
    Eary DF, Reed EA. Techniques of pressworking: sheet metal, Prentice-Hall, Englewood Cliffs, NJ, 1958, pp 56–76Google Scholar
  20. 20.
    Paul RP. Robot manipulators: mathematics, programming, and control. MIT Press, Cambridge, MA, 1981, pp 9–40Google Scholar
  21. 21.
    Nilsson NJ. Principle of artificial intelligence. Tioga, Palo Alto, CA, 1980, pp 281–287Google Scholar

Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • M. Inui
  • F. Kimura

There are no affiliations available

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