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Concept of automatic programming of NC machine for metal plate cutting by genetic algorithm method

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: In this paper the concept of automatic programs of the NC machine for metal plate cutting by genetic algorithm method has been presented. Design/methodology/approach: The paper was limited to automatic creation of NC programs for two dimensional cutting of material by means of adaptive heuristic search algorithms. Findings: Automatic creation of NC programs in laser cutting of materials combines the CAD concepts, the recognition of features and creation and optimization of NC programs. The proposed intelligent system is capable to recognize automatically the nesting of products in the layout, to determine the incisions and sequences of cuts forming the laid out products. Position of incisions is determined at the relevant places on the cut. The system is capable to find the shortest path between individual cuts and to record the NC program. Research limitations/implications: It would be appropriate to orient future researches towards conceiving an improved system for three-dimensional cutting with optional determination of positions of incisions, with the capability to sense collisions and with optimization of the speed and acceleration during cutting. Practical implications: The proposed system assures automatic preparation of NC program without NC programer. Originality/value: The proposed concept shows a high degree of universality, efficiency and reliability and it can be simply adapted to other NC-machines.
Rocznik
Strony
131--139
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
Twórcy
autor
  • Laboratory for Intelligent Manufacturing Systems, Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, Slovenia
autor
  • ŠTORE STEEL d.o.o., Železarska cesta 3, 3220 Štore, Slovenia
autor
  • Laboratory for Intelligent Manufacturing Systems, Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, Slovenia
autor
  • Laboratory for Intelligent Manufacturing Systems, Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, Slovenia
Bibliografia
  • [1] R. Aloke, V. Girish, R.F. Scrutton, P.A. Mollian, A model for prediction of dimensional tolerances of laser cut holes in mild steel thin plates, International Journal of Machine Tools and Manufacture, Vol. 37, No. 8 (1997), 1069-1078.
  • [2] D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, Reading, 1989.
  • [3] S. D. Jackson, O.R. Mittal, Automatic generation of 2-axis laser-cutter NC machine program and path planning from CAD, Computers in Industry, Vol. 21, No. 2 (1993), 223.
  • [4] M. Kovačič, J. Balič, Evolutionary programming of a CNC cutting machine. Int. j. adv. manuf. technol., vol. 22, No. 1/2, str. (2003) 118-124.
  • [5] Z. Michalewicz, Genetic algorithms + data structures = evolution programs, Springer - Verlag, New York, 1999
  • [6] M. Brezočnik, M. Kovačič, M. Ficko, Prediction of surface roughness with genetic programming. J. mater. process. technol., [Print ed.], 20.dec.2004, vol. 157/158, pp. 28-36.
  • [7] I. Drstvenšek, M. Ficko, J. Balič, Relational database as a cogitative part of an intelligent manufacturing system. J. mater. process. technol., [Print ed.], Dec. 2004, vol. 157/158, pp. 114-122.
  • [8] M. Ficko, M. Brezočnik, J. Balič, Designing the layout of single- and multiple-rows flexible manufacturing system by genetic algorithms. J. mater. process. technol., [Print ed.], Dec. 2004, vol. 157/158, pp. 150-158.
  • [9] M. Ficko, I. DrstvenšeK, M. Brezočnik, J. Balič, B. Vaupotič, Prediction of total manufacturing costs for stamping tool on the basis of CAD-model of finished product. J. mater. process. technol., [Print ed.], 15. maj 2005, vol. 164-165, str. 1327-1335.
  • [10] M. Brezočnik, J. Balič, Z. Kampuš, Modeling of forming efficiency using genetic programming. J. mater. process. technol., [Print ed.], 2001, vol. 109, no. 1/2, special issue "AMME'97", pp. 20-29.
  • [11] M. Kovačič, J. Balič, M. Brezočnik, Evolutionary approach for cutting forces prediction in milling. J. mater. process. technol., [Print ed.], Nov. 2004, vol. 155/156, pp. 1647-1652.
  • [12] M. Kovačič, M. Brezočnik, I. Pahole, J. Balič, B. Kecelj, Evolutionary programming of CNC machines. J. mater. process. technol., [Print ed.], 15. maj 2005, vol. 164-165, pp. 1379-1387.
  • [13] I. Drstvenšek, I. Pahole, J. Balič, A model of data flow in lower CIM levels. J. mater. process. technol., [Print ed.], Dec. 2004, vol. 157/158, str. 123-130.
  • [14] I. Drstvenšek, I. Pahole, M. Kovačič, J. Balič, Intelligent interface in a flexible production environment. J. mater. process. technol., [Print ed.], 15. maj 2005, vol. 164-165, pp. 1309-1316.
  • [15] M. Nastran, J. Balič, Prediction of metal wire behavior using genetic programming. J. mater. process. technol., [Print ed.], 2002, vol. 122, no. 2/3, pp. 368-373.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3d5d9377-12d1-45f6-a62a-064b8ad9ce7d
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