Optimization of Profile Extrusion Processes Using the Finite Element Method and Distributed Computing

  • Andrzej Milenin
  • Piotr Kustra
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8500)

Abstract

This paper is dedicated to the development of a FEM model of the extrusion process of tubes and profiles made from Mg alloys. Mg alloys are characterized by low technological plasticity during extrusion. The model is designed to optimize the parameters of extrusion tubes on mandrel and profiles using the ductility of alloy as an objective function and the maximum value of temperature in the deformation zone as a limitation condition. Optimization of extrusion parameters requires a large number of FEM simulations that is why the solution based on distributed computing capabilities was used. The developed software generates a vector of simulation variants and runs them on a computer cluster in parallel mode in the PL-Grid Infrastructure. In this work, an example of optimization process and a procedure for obtaining the needed materials data for simulation using the case of Mg alloy were shown.

Keywords

extrusion optimization FEM distributed computing 
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References

  1. 1.
    Machado, P.: Extrusion Die Design. In: Proceedings of Fifth International Extrusion Technology Seminar, Chicago, USA, vol. 1, pp. 385–389 (1992)Google Scholar
  2. 2.
    Kiuchi, M., Yanagimoto, J., Mendoza, V.: Three-dimensional FE simulation and extrusion die design. Journal of The Japan Society For Technology of Plasticity 39, 27–32 (1998)Google Scholar
  3. 3.
    Herberg, J., Gundeso, K., Skauvic, I.: Application of numerical simulation in design of extrusion dies. In: 6 Int. Aluminium Extrusion Technology Seminar, pp. 275–281 (1996)Google Scholar
  4. 4.
    Chenot, J.L., Bay, F.: An overview of numerical modeling techniques. Journal of Materials Processing Technology 80-81, 8–15 (1998)CrossRefGoogle Scholar
  5. 5.
    Chenot, J.L.: Resent contributions to the finite element modelling of metal forming processes. Journal of Materials Processing Technology 34, 9–18 (1992)CrossRefGoogle Scholar
  6. 6.
    Rens, B.J.E., Brekelmans, W.A.M., Baaijens, F.P.T.: A semi-structured mech generator applied to extrusion. In: Proc. of the 7 Int. Conf. on Numerical Methods in Industrial Forming Processes, Enschede, Netherlands, pp. 621–626 (1998)Google Scholar
  7. 7.
    Milenin, A., Gzyl, M., Rec, T., Płonka, B.: Computer aided design of wires extrusion from biocompatible Mg-Ca magnesium alloy. Archives of Metallurgy and Materials 59(2), 561–566 (2014)CrossRefGoogle Scholar
  8. 8.
    Milenin, A., Kustra, P.: Numerical and experimental analysis of wire drawing for hardly deformable biocompatible magnesium alloys. Archives of Metallurgy and Materials 58, 55–62 (2013)CrossRefGoogle Scholar
  9. 9.
    Milenin, A.: Mathematical modeling of operations of correcting the dies for section extruding. Metallurgicheskaya i Gornorudnaya Promyshlennost 1-2, 64–66 (2000)Google Scholar
  10. 10.
    Milenin, A., Berski, S., Banaszek, G., Dyja, H.: Theoretical analysis and optimisation of parameters in extrusion process of explosive cladded bimetallic rods. Journal of Materials Processing Technology SPEC. ISS 157-158, 208–212 (2004)CrossRefGoogle Scholar
  11. 11.
    Lishnij, A.I., Biba, N.V., Milenin, A.: Two levels approach to the problem of extrusion optimization. Simulation of Materials Processing Theory, Methods and Applications. In: Proceedings of the 7 Int. Conf. on Numerical Methods in Industrial Forming Processes, pp. 627–631 (1998)Google Scholar
  12. 12.
    Biba, N., Stebunov, S., Lishny, A., Vlasov, A.: New approach to 3D finite-element simulation of material flow and its application to bulk metal forming. In: Proceedings of the 7th International Conference on Technology of Plasticity, pp. 829–834 (2002)Google Scholar
  13. 13.
    Milenin, A.: Modelowanie numeryczne procesów wyciskania profili z zastosowaniem gęstości dyslokacji jako zmiennej wewnętrznej w modelu reologicznym materialu (in Polish). Informatyka w Technologii Materiałów 1(2), 26–33 (2002)Google Scholar
  14. 14.
    Milenin, A., Biba, N., Stebunow, S.: Modelowania procesów wyciskania cienkościennych kształtów z wykorzystaniem teorii dyslokacji do opisania właściwości reologicznych stopow aluminium. In: Proceedings of the 9th Conference “Informatyka w Technologii Metali”, pp. 217–224 (2002) (in Polish)Google Scholar
  15. 15.
    Milenin, A., Golovko, A.N., Mamuzic, I.: The application of three-dimensional computer simulation when developing dies for extrusion of aluminium shapes. Metallurgija 41(1), 53–55 (2002)Google Scholar
  16. 16.
    Bell, J.F.: The Experimental Foundations of Solid Mechanics. In: Encyclopedia of Physics, Mechanics of Solids VIa/1, Berlin (1973)Google Scholar
  17. 17.
    Kopernik, M., Milenin, A.: Two-scale finite element model of multilayer blood chamber of POLVAD_EXT. Archives of Civil and Mechanical Engineering 12(2), 178–185 (2012)CrossRefGoogle Scholar
  18. 18.
    Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method. The Fluid Mechanics, vol. 3. Butterworth, Oxford (2000)MATHGoogle Scholar
  19. 19.
  20. 20.
  21. 21.
    Milenin, A., Kustra, P.: Optimization of extrusion and wire drawing of magnesium alloys using the finite element method and distributed computing. In: Proc. Int. Conf. InterWire, Atlanta, USA. Wire Association International (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Andrzej Milenin
    • 1
  • Piotr Kustra
    • 1
  1. 1.AGH University of Science and TechnologyKrakówPoland

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