Abstracts : 2001

A neural network prediction for the graphite nuleation and morphology in modified cast irons

Liliac M M, Yamamoto K, Ogi K

International Journal of Cast Metals Reasearch, Volume 14, Pages 157-164, 2001

Abstract: The present research is an attempt to provide a possible way of predicting the characteristics of graphite in modified cast irons. Using a simple melt solidification thermal anaylsis and some data related to charge chemical composition it could be possible to make a relatively good prediction on two main characteristics of graphite; the number of particles and the morphology. The result of this investigation consists on a set of contour diagrams that can predict for hypoeutectic modified cast irons the above mentioned characteristics as functions of holding time prior to pouring, the amount of eutectic recalescence, the level of sulphur addition and the residual magnesium content.

Keywords: Modified cast irons, Morphology, Neural network.