Optimal Control of Metal Forging

  • Jordan M. Berg
  • Richard J. Adams
  • James C. MalasIII
  • Siva S. Banda
Conference paper
Part of the Progress in Systems and Control Theory book series (PSCT, volume 19)

Abstract

The development of good material models, accurate nonlinear finite element codes, and computer- controlled presses makes practical the application of control techniques to metal forging. This paper considers the problem of selecting a ram velocity profile to produce a desired microstructure, given a specified die and preform geometry and forging temperature. Two approaches for doing so are successfully applied to a simple but representative problem. The first is based on classical numerical optimization techniques. The second is based on inverse neural networks, and offers potential savings in critical computations. A method for choosing the forging temperature is also presented.

Keywords

Furnace Welding Recrystallization Eter Lution 

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Jordan M. Berg
    • 1
  • Richard J. Adams
    • 1
  • James C. MalasIII
    • 1
  • Siva S. Banda
    • 1
  1. 1.Wright LaboratoryWright-Patterson Air Force BaseUSA

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