A Monte Carlo study of the influence of dynamic recovery on dynamic recrystallization

Abstract

A Monte Carlo simulation technique has been used to study dynamic recrystallization in a polycrystalline matrix. The model employed, maps the microstructure onto a discrete, two dimensional lattice with use of a magnetic analog, the Q-state Potts model. The response of the material to hot deformation is simulated by adding recrystallization nuclei and stored energy continuously with time. The simulations presented in this work use an energy storage rate procedure that models stage III hardening in metals and thereby incorporates both work hardening and dynamic recovery. This model reproduces many features found recently by Rollett et al. in a more simple model that did not include an explicit dynamic softening mechanism. It is found, that the type of work hardening law ssumed results in relationships between transient and steady state crystallization parameters which more closely approach those observed in physical experiments. In this view, the roles of the controlling mechanisms of dynamic recrystallization in real polycrystalline materials are discussed.