Diffuse-interface approach to predicting morphologies of critical nucleus and equilibrium structure for cubic to tetragonal transformations
Introduction
Nucleation in solid-state phase transformations is generally believed to be one of the most difficult processes to model. It takes place when a material becomes metastable with respect to its transformation to a new crystal structure. During a natural precipitation process in a supersaturated solid or liquid solution, e.g. during isothermal annealing of a quenched homogeneous alloy within a two-phase-field of a phase diagram, the majority of precipitation reactions in solids occur through a nucleation-and-growth mechanism followed by particle coarsening. There are two thermodynamically well-defined morphologies: the morphology of a critical nucleus and the equilibrium morphology of a precipitate particle. Predicting precipitate particle morphology in solids becomes a main challenge because of the presence of both interfacial energy anisotropy and anisotropic elastic interactions. Moreover, since the actual nucleation process is a rare event and the critical nucleus only exists transiently, it is of great interest for developing effective methods that can be used to study the morphological relation between the critical nucleus and the equilibrium precipitation.
The diffuse-interface description, or the nonclassical nucleation theory, is based on the gradient thermodynamics of nonuniform systems and provides a general framework of treating nucleation. Rather than assuming a particular geometry for a critical nucleus which is determined by a competition between a bulk free energy decrease which is proportional to volume and an interfacial energy increase which is proportional to interfacial area, a critical nucleus is defined as the composition or order parameter fluctuation having the minimum free energy increase among all fluctuations which lead to nucleation, i.e., the saddle point configuration along the minimum energy path (MEP) between the metastable initial phase represented by a local minimum in the free energy landscape and the equilibrium phase represented by the global minimum. Therefore, nucleation of new phase particle requires overcoming a minimum thermodynamic barrier. The magnitude of the nucleation barrier, and thus the nucleation rate, or the resulted new phase particle density, is strongly dependent on the morphology of critical nucleus. On the other hand, following nucleation-and-growth, the morphology and volume fraction of new phase particle during coarsening are generally close to equilibrium. The particle morphology and volume fraction during coarsening together with the particle density predicted from nucleation provide the essential information that is needed for predicting the strength of a solid in mechanistic models.
Early studies of equilibrium shapes in solids often use both sharp- and diffuse-interface approaches [1], [2], [3], [4], [14], [15]. Recent attempts have also been made to predict the morphology of a critical nucleus in solids by taking into account both interfacial energy anisotropy and anisotropic elastic interactions [16], [17], [18], [20], [21], [22], [23]. For example, we showed that one can predict the morphology of a critical nucleus in a system going through a phase transition [20], [21] using a combination of the diffuse-interface (phase-field) description and the minimax algorithm based on the mountain pass theorem [12], [22]. Diffuse-interface critical nuclei have also been incorporated in the dynamic phase-field simulation through the explicit nucleation algorithm in [28]. Recently, in [23], a new approach is developed to simultaneously predict the morphology of a critical nucleus as well as the equilibrium morphology of a precipitate within the same diffuse-interface model described by a single phase-field function. In this paper, we consider the more complex nucleation in cubic to tetragonal transformations which leads to the various crystallographic orientation variants (structure domains). Computationally, our approach is based on the calculation of MEPs with the unconstrained and constrained string methods which we describe in Section 2. We also compare such an approach with the corresponding modification to the Nudged Elastic Band method. The main results of the paper are given in Section 3. There, we first discuss the diffuse-interface model corresponding to the cubic to tetragonal transformations, with either a single order parameter or a pair of phase-field functions. We then present the algorithm for computing both the critical nucleus and the equilibrium microstructure simultaneously by combining the diffuse-interface model with the constrained string method. Results of several numerical examples in the single order parameter case are provided. An example on the extension to the two-variant nucleation case is also shown. These examples demonstrate the great potential in enlarging the applicability of our method to the complex cubic to tetragonal nucleation. Final conclusions are given in Section 4.
Section snippets
String method
In the diffuse-interface theory of Cahn–Hilliard, phase-field variables such as order parameters or compositions are utilized to describe the structural transitions or concentration distributions in solids. Based on the transition state theory, the point (state) with the highest energy along the minimum energy path (MEP), a saddle point in general, defines the critical nucleus configuration, and the critical nucleation energy that determines the rate of a nucleation reaction. By the calculus of
Application to cubic to tetragonal nucleation
We now describe the diffuse-interface model that can be used, in combination withe above discussed algorithms for MEP computations, to study the cubic to tetragonal nucleation in solid-state transformations.
Summary
In this work, we extended our earlier studies to take advantage of the generality of the diffuse-interface approach in the study of nucleation in solid-state transformations. By combining the diffuse-interface model with the constrained string method, we were able to compute the morphologies of both critical nuclei and equilibrium microstructures for cubic to tetragonal transformation without a priori shape assumptions. We conducted a series of preliminary numerical experiments that
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