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Vol. 25 No. 1-2 (2000): Journal for Technology of Plasticity
Original articles

Artificial intelligence approach to determination of flow curve

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  • M. Brezocnik,
  • J. Balic,
  • L. Gusel
M. Brezocnik
Faculty of Mechanical Engineering, Maribor, Slovenia
J. Balic
Faculty of Mechanical Engineering, Maribor, Slovenia
L. Gusel
Faculty of Mechanical Engineering, Maribor, Slovenia

Published 2000-12-22

abstract views: 3 // Full text article (PDF): 5


How to Cite

Brezocnik, M., Balic, J., & Gusel, L. (2000). Artificial intelligence approach to determination of flow curve. Advanced Technologies and Materials, 25(1-2), 1–8. Retrieved from https://atm-journal.uns.ac.rs/index.php/atm/article/view/jtp.2000.26.1.1
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

For the control of the forming process it is necessary to know as precisely as possible the flow curve of the material formed. The paper presents the determination of the equation for the flow curve with artificial intelligence approach. The genetic programming method (GP) was used. It is an evolutionary optimization technique based on the Darwinian natural selection and the survival of the fittest organisms. The comparison between the experimental results, analytical solution, and the solution obtained genetically clearly shows that the genetic programming method is a very promising approach.

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