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System for flexible modelling of production cycles based on flat rolling

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents design and implementation of computer system dedicated to simulation of production cycles based on the rolling processes. The main functionality of the computer system, i.e. support and facilitation of flat rolling technology design, is obtained through flexible interface combined with the modular architecture of numerical library and optimization procedures. Each production cycle (e.g. heating, rolling, cooling, coiling) is prepared to be calculated separately and finally integrated into the sophisticated production cycle. The architecture of designed software as well as models used for numerical calculations are described in details.The system was tested for various configurations of rolling mills. Three of them together with obtained results are presented in the paper: complex production cycle (roughing and finishing rolling), finishing rolling composed of seven passes and laboratory case study.
Rocznik
Strony
39--48
Opis fizyczny
Bibliogr. 13 poz., tab., rys.
Twórcy
autor
  • Akademia Gorniczo-Hutnicza, al. Mickiewicza 30, 30-059 Krakow
autor
  • Akademia Gorniczo-Hutnicza, al. Mickiewicza 30, 30-059 Krakow
autor
  • Akademia Gorniczo-Hutnicza, al. Mickiewicza 30, 30-059 Krakow
autor
  • Akademia Gorniczo-Hutnicza, al. Mickiewicza 30, 30-059 Krakow
Bibliografia
  • 1. AGUIAR M., WESTON R., 1995, A Model-Driven Approach to Enterprise Integration, International Journal of Computer Integrated Manufacturing, 8/3/210–224.
  • 2. BOOTH A.W., 1998, Object-Oriented Modeling for Flexible Manufacturing Systems, International Journal of Flexible Manufacturing Systems, 10/01–314.
  • 3. DONNAY B., HERMAN J. C., LEROY V., LOTTER U., 1996, GROSSTERLINDEN R., PIRCHER H., Microstructure Evolution of C-Mn Steels in the Hot Deformation Process: the STRIPCAM Model, Proc. Conf. Modelling of Metal Rolling Processes, ed., Beynon J.H., Ingham P., Teichert H., Waterson K., London, 23-35.
  • 4. GIACHETTI R.E., 1998, A Decision Support System for Material and Manufacturing Process Selection, Journal of Intelligent Manufacturing, 9/265-276.
  • 5. HALEVI G., WANG K., 2007, Knowledge Based Manufacturing System (KBMS), Journal of Intelligent Manufacturing, 18/467-474.
  • 6. LENARD J. G., PIETRZYK M., CSER L., 1999, Mathematical and Physical Simulation of the Properties of Hot Rolled Products, Elsevier, Amsterdam.
  • 7. MAHL A., KRIKLER R., 2007, Approach For a Rule Based System for Capturing and Usage of Knowledge in the Manufacturing Industry, Journal of Intelligent Manufacturing, 18/519-526.
  • 8. RAUCH L., MADEJ L., MATUSZYK P. J., 2008, Knowledge based optimization of the manufacturing process supported by numerical simulations of production chain, Collaborative Product and Service Life Cycle Management for a Sustainable World, 15th ISPE International Conference on Concurrent Engineering: Bangor, Springer, 435-442.
  • 9. RAUCH L., MADEJ L., PIETRZYK M., 2008, Hybrid System for Modeling and Optimization of Production Chain in Metal Forming, Journal of Machine Engineering, 8/4-22.
  • 10. RAUCH L., MADEJ L., WEGLARCZYK S., PIETRZYK M., 2008, System for Design of the Manufacturing Process of Connecting Parts for Automotive Industry, Archives of Civil and Mechanical Engineering, 8/157-165.
  • 11. SIMS R. B., 1954, The Calculation of Roll Force and Torque in Hot Rolling Mills, Proc. Inst. Mech. Eng., 168/191-200.
  • 12. SZELIGA D., GAWAD J., PIETRZYK M., 2006, Inverse Analysis for Identification of Rheological and Friction Models in Metal Forming, Computer Methods in Applied Mechanics and Engineering, 195/6778-6798.
  • 13. WWW site of INTEG Process Group Inc., 2010, HSMM software: http://www.integpg.com/Products/HSMM_Functionality.asp, I.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fc682852-8efa-46c0-94a9-16d24d612475
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