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The earlier-developed ab initio model and the kinetic Monte Carlo method(KMCM) are used to simulate precipitation in a number of iron-copper alloyswith different copper concentrations x and temperatures T. The same simulationsare also made using the improved version of the earlier-suggested stochasticstatistical method (SSM). The results obtained enable us to make a number ofgeneral conclusions about the dependencies of the decomposition kinetics inFe-Cu alloys on x and T. We also show that the SSM describes the precipitationkinetics in a fair agreement with the KMCM, and employing the SSM inconjunction with the KMCM enables us to extend the KMC simulations to thelonger evolution times. The results of simulations seem to agree with availableexperimental data for Fe-Cu alloys within statistical errors of simulations andthe scatter of experimental results. Comparison of results of simulations toexperiments for some multicomponent Fe-Cu-based alloys enables us to makecertain conclusions about the influence of alloying elements in these alloys onthe precipitation kinetics at different stages of evolution.

journal of experimental and theoretical physics

Studies of concentration and temperature dependencies of precipitation  kinetics in iron-copper alloys using kinetic monte carlo and stochastic  statistical simulations