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Evolutionary programming of a CNC cutting machine

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Abstract

The scope of the paper is to construct an autonomous, intelligent CAD/CAM programming system for the cutting device controller (for instance a CNC laser cutting machine tool) based on evolutionary methods. The CNC cutting device should be able to optimise paths autonomously between cutting trajectories, determined by the product's CAD model. An evolutionary GA was used for this purpose.

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References

  1. Kato K, Momochi T (1990) Numerical controller for machining tool with learning function. Patent number DE4011591

  2. Kadono M (2001) Tool path data generation apparatus for NC machine tool and numerical controller provided with it. Patent number US2001000805

  3. Waldenmaier P, Wirth H, Monz J (1996) Dialogue orientated programming system for a CNC machine tool. Patent number EP0726509

  4. Cheng T, Zhang J, Hu C, Wu B, Yang S (2001) Intelligent machine tools in a distributed network manufacturing mode environment. Int J Adv Manuf Technol 17(3):221–232

    Google Scholar 

  5. Torvinen JM (2001) Parametric programming of laser cutting system. Patent number: WO0150404

  6. Zhang L, Deng J, Chan SCF (2000) A next generation NC machining system based on NC feature unit and real-time tool-path generation. Int J Adv Manuf Technol 16:889–901

    Google Scholar 

  7. Ueda K (1999) Learning approaches to autonomous robots in biological manufacturing system. In: Proceedings of the tenth international DAAAM symposium: Intelligent manufacturing and automation, Vienna, Austria, 21–23 October 1999, pp 559–560

  8. Balic J (1999) Contribution to integrated manufacturing (Manufacturing technology series). DAAAM, Vienna, Austria, p 223

  9. Brezočnik M, Balič J, Kampuš Z (2001) Modeling of forming efficiency using genetic programming. J Mater Process Technol 109(1/2):20–29

    Google Scholar 

  10. Holland J (1975) Adaptation in natural and artificial systems. University of Michigan

  11. Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MA

  12. Koza JR (1994) Introduction to genetic programming. In: Kinnear EK (ed) Advances in genetic programming. MIT Press, Cambridge, MA, pp 21–42

  13. Mitsuo G (1997) Genetic algorithms and engineering design. Wiley, Canada

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Correspondence to J. Balic.

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Kovacic, M., Balic, J. Evolutionary programming of a CNC cutting machine. Int J Adv Manuf Technol 22, 118–124 (2003). https://doi.org/10.1007/s00170-002-1450-8

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  • DOI: https://doi.org/10.1007/s00170-002-1450-8

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