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Metallurgist

, Volume 42, Issue 10, pp 388–391 | Cite as

Use of a computerized simulation model of metal flow to calculate forging parameters

  • E. N. Chumachenko
  • V. N. Scherba
  • S. E. Chumachenko
  • A. V. Sukhanova
New in Science and Technology

Conclusion

The mathematical model that was developed and realized in the form of the computing system SPLENS (PRESS) can serve as an effective means of analyzing the flow of material in pressing with active friction. The model and the system can also be used to calculate control regimes that will ensure the desired physical properties in the pressed product.

Keywords

Metal Flow Semifinished Product Active Friction Contact Friction Nonlinear Boundary Condition 
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.

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References

  1. 1.
    V. A. Berezhnoi, V. N. Scherba, and A. N. Bratukhin,Pressing with Active Friction [in Russian], Metallurgiya, Moscow (1988).Google Scholar
  2. 2.
    V. N. Shcherba and L. Kh. Raitberg,Metal-Pressing Technology [in Russian], Metallurgiya, Moscow (1995).Google Scholar
  3. 3.
    E. N. Chumachenko and S. E. Chumachenko, “Mathematical modeling of pressing with active friction,”Vestn. Mashinostr., No. 9, 15–17 (1998).Google Scholar
  4. 4.
    E. N. Chumachenko,Mathematical Modeling of the Plastic Deformation of Materials during Shaping [in Russian], MGIEM, Moscow (1998).Google Scholar
  5. 5.
    Ya. M. Okhrimenko, V. N. Shcherba, A. V. Nedugov, et al., “Analytical determination of the resistance of aluminum alloys to deformation,”Izv. Vyssh. Uchebn. Zaved. Chern. Metall., No. 5, 52–55 (1983).Google Scholar

Copyright information

© Kluwer Academic/Plenum Publishers 1999

Authors and Affiliations

  • E. N. Chumachenko
  • V. N. Scherba
  • S. E. Chumachenko
  • A. V. Sukhanova

There are no affiliations available

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