Therefore, from an industrial point of view, the estimation of the uncertainty in using existing data to represent a new steel would be extremely useful. It is for this reason that a neural network model within a Bayesian framework will be used. This will ease pre-selection from any variation of chemical composition of the cast, and perhaps limit the number of tests which will need to be generated. Dr Andrew Howe, Corus. An ideal solution is one in which the enthalpy of mixing is zero so that the only contribution to the free energy of mixing comes from the change in the configurational entropy when atoms mix at random.
Regular solutions have a finite enthalpy of mixing but nevertheless assume random mixing.
Quasichemical models avoid this approximation of random mixing. The purpose of this work will be to make similar corrections to the corresponding theory for Fe-C alloys containing a third element which is metallic in character. You should feel free to consult the academics in charge of the project concerned.