Prediction of mechanical properties in spheroidal cast iron by neural networks

  title={Prediction of mechanical properties in spheroidal cast iron by neural networks},
  author={S. Calcaterraa and G. Campanab and L. Tomesanib},
  • S. Calcaterraa, G. Campanab, L. Tomesanib
  • Published 2000
An arti®cial neural network-based system is proposed to predict mechanical properties in spheroidal cast iron. Several castings of various compositions and modules were produced, starting from different inoculation temperatures and with different cooling times. The mechanical properties were then evaluated by means of tension tests. Process parameters and mechanical properties were then used as a training set for an arti®cial neural network. Different neural structures were tested, from the… CONTINUE READING


Publications referenced by this paper.

Application of simulation to casting processes

  • A. Anglani, A. Grieco, B. Previtali
  • in: Proceedings of the Acts of the Third AITEM…
  • 2000
1 Excerpt

GuÈc,eri, A numerical and experimental investigation of neural network-based intelligent control of molding processes

  • H. H. Demirci, S.I.J.P. Coulter
  • ASME J. Manuf. Sci. Eng
  • 1997

Simulating solidi®cation of spheroidal graphite cast iron of Fe±C±Si systems

  • A. Almansour, M. Kazuhiro, T. Hatayama, O. Yanagisawa
  • Mater. Trans. JIM 36 (12)
  • 1995
1 Excerpt

Similar Papers

Loading similar papers…