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Compound Machining Method for OKP Product Development

  • Shane (S.Q.) Xie
  • Yiliu Tu
Chapter

Abstract

In sheet metal processing and manufacturing, there are many small or medium sized enterprises (SMEs). These OKP manufacturing companies have been facing keen competitive pressure in the market, which has forced these companies to make every effort to shorten PD lead time, improve production efficiency, approach high quality standards, and at the same time cut down the costs. To meet the needs of these companies, this chapter presents a compound cutting and punching production method supported by an integrated CAD/CAPP/CAM system for sheet metal manufacturing. Many existing commercial CAD/CAM systems are not suitable for this manufacturing method, especially under concurrent and global design and manufacturing environments. Some problems have to be solved before these CAD/CAM systems can be employed and integrated into this compound manufacturing method. This chapter deals with solutions to some of these problems. The solutions include an integrated data integration platform based on Pro/INTRALINK and STEP, and a knowledge-based real-time CAPP (RTCAPP) system for compound sheet metal cutting and punching. Within the proposed CAD/CAPP/CAM system, some key modules have been developed. They are the automatic tool selection and manufacturing sequencing module, a shortest tool path optimisation module, a cost estimation module and an automatic insertion of auxiliary path module based on knowledge bases. These modules will be described in this chapter.

Keywords

Sheet Metal Tool Path Tool Position Outer Contour 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.

References

  1. Cai, L., and Peng, L., 1995, CAPP system (HZ-RCAP) for rotatory parts under CAD/CAM integration environment. Journal of Huazhong University of Science and Technology, 23, 83–87.Google Scholar
  2. Chaturvedi, S., and Allada, V., 1999, Integrated manufacturing system for precision press tooling. Journal Advance Manufacturing Technology, 15, 356–365.CrossRefGoogle Scholar
  3. Chen, C., Swift, F., Lee, S., Ege, R., and Shen, Q., 1994, Development of a feature-based and object-oriented concurrent engineering system. Journal of Intelligent Manufacturing, 5, 23–31.CrossRefGoogle Scholar
  4. Duan, G., Wang, J., Liu, D., Lei, N., Bian, W., 1996, Research on an object-oriented CAD/CAPP/CAM integrated system based on STEP. IEEE Conference on Industrial Technology, pp. 29–33, 2–6 Dec 1996, Shanghai, China.Google Scholar
  5. Duda, J., Habel, J., and Pobozniak, J., 1997, Control mechanism of expert system with representation of knowledge in the form of hierarchical decision nets. Proceedings of Artificial Intelligence in Engineering XII, Computational Mechanics Publications, pp.17–28.Google Scholar
  6. Hamel, A.M., and Steel, M.A., 1994, Finding a Maximum Compatible Tree is NP-Hard for Sequences and Trees (Christchurch: Department of Mathematics and Statistics, University of Canterbury).Google Scholar
  7. Ismail, H.S., Hon, K.K.B., and Huang, K., 1993, CAPTD: a low-cost integrated computer aided design system for press tool design. Proceedings of the Institution of Mechanical Engineers, 207, pp. 117–127.CrossRefGoogle Scholar
  8. Lauwers, B., and Kruth, J.P., 1994, Computer-aided process planning for EDM operations. Journal of Manufacturing Systems, 13, 313–322.CrossRefGoogle Scholar
  9. Lee, I.B.H., Lim, B.S., and Nee, A.Y.C., 1993, Knowledge-based process planning system for the manufacture of progressive dies. International Journal of Production Research, 31, 251–278.CrossRefGoogle Scholar
  10. Park, J.Y., and Khoshnevis, B., 1993, A Real-Time Computer-Aided Process Planning System as a Support Tool for Economic Product Design. Journal of Manufacturing Systems, 12, 181–193.CrossRefGoogle Scholar
  11. Papadimitriou, C.H., and Steiglitz, K., 1982, Combinatoral Optimisation: Algorithms and Complexity (Englewood Cliffs, N.J.: Prentice Hall).Google Scholar
  12. Raggenbass, A., and Reissner, J., 1991, Automatic generation of NC production plans in stamping and laser cutting. Annals of the CIRP, 40, 247–250.CrossRefGoogle Scholar
  13. Sakal, R.L., and Chow, J.G., 1994, An integrated intelligent process planning system for prismatic parts using PC-based CAD and CAM software packages. International Journal of Advanced Manufacturing Technology, 9, 166–174.CrossRefGoogle Scholar
  14. Summad, E., and Appleton, E., 1998, Applications of the Monte Carlo simulation method in tool selection for punching operations in the sheet metal industry. International Conference on SIMULATION, York, UK, 30 September–2 October.Google Scholar
  15. Szykman, S., Sriram, R.D., Bochenek, C., Racz, J.W., and Sriram, R., 2000, Design repositories: next-generation engineering design databases. Journal of National Institute of Standard and Technology, on the Web: http://www.mel.nist.gov/msidlibrary/summary/pubs00.htm.
  16. Tan, G.S.H., and Hui, K-L., 1998, Applying Intelligent Agent Technology as the Platform for Simulation. The 31st Annual Simulation Symposium, Boston, MA, April 5–9.Google Scholar
  17. Tu, Y., Yang, W., and Xiong, Y., 1998, A concurrent manufacturing strategy for one-of-a-kind products with complicated sculptured surfaces. International Journal of Advanced Manufacturing Technology, 14, 93–98.CrossRefGoogle Scholar
  18. Tu, Y., Xie, S.Q., and Liu, J., 2000, Virtual Product Development for One-of-a-Kind. IFAC, Aachen, Germany, 14–18 June.Google Scholar
  19. Wang, C.H., and Bourne, D.A., 1995, Using features and their constraints to aid process planning of sheet metal parts. Proceedings of IEEE International Conference on Robotics and Automation, pp. 1020–1026.Google Scholar
  20. Xie, S.Q., and Duan, Z.C., 1995, Automatic manufacturing parameters selection of sheet metal laser cutting by using experiments and neutral network method. Journal of Mechanics, 23, 54–57 (in Chinese).Google Scholar
  21. Xu, X., and He, Q., 2004, Striving for a total integration of CAD, CAPP, CAM and CNC. Robotics and Computer-Integrated Manufacturing, 20(2), 101–109.MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer 2011

Authors and Affiliations

  • Shane (S.Q.) Xie
    • 1
  • Yiliu Tu
    • 2
  1. 1.Department of Mechanical EngineeringUniversity of AucklandAucklandNew Zealand
  2. 2.Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryCanada

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