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Genetic programming approach for the material flow curve determination of copper alloy – CuCrZr

L. GUSEL1,* , M. BREZOCNIK1, R. RUDOLF1, I. ANZEL1, Z. LAZAREVIĆ2, N. ROMČEVIĆ2

Affiliation

  1. University of Maribor, Faculty of Mechanical Engineering, Smetanova 17, 2000 Maribor, Slovenia
  2. Institute of Physics, Pregrevica 118, 11080 Belgrade, Serbia

Abstract

For the control of the forming process it is necessary to know as precisely as possible the flow curve of the formed material. The paper presents the determination of the equation for the flow curve of cooper alloy (CuCrZr) with artificial intelligence approach. The genetic programming method (GP) was used. It is an evolutionary optimization technique based on the Darwinist principles of the evolution of species and the survival of the fittest organisms. The main characteristic of GP is its non- deterministic way of computing. It is probably the most general approach out of evolutionary computation methods. 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..

Keywords

Genetic programming, Flow curve, Copper alloy, CuCrZr.

Citation

L. GUSEL, M. BREZOCNIK, R. RUDOLF, I. ANZEL, Z. LAZAREVIĆ, N. ROMČEVIĆ, Genetic programming approach for the material flow curve determination of copper alloy – CuCrZr, Optoelectronics and Advanced Materials - Rapid Communications, 4, 3, March 2010, pp.395-400 (2010).

Submitted at: Jan. 26, 2010

Accepted at: March 12, 2010