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Cluster variation investigation of phase equilibria in Fe-Co system using simulated annealing approach

机译:用模拟退火法研究Fe-Co体系相平衡的聚类变化

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The cluster variation method (CVM) coupled with the constrained simulated annealing (CSA) algorithm for global free energy minimization is proposed as an efficient approach for the study of alloy phase diagram. The chemical order-disorder transitions in Fe-Co alloy system between 300 and 1100 K are investigated using the proposed CSA-CVM approach using the irregular tetrahedron approximation in a bee lattice. The calculations have been carried out for a hypothetical paramagnetic Fe-Co alloy, i.e. with chemical interactions only, as well as for Fe-Co alloy with both magnetic and chemical interactions acting simultaneously, i.e., considering the quaternary (FeFeCoCo down arrow)-Fe-up arrow-Co-down arrow-Co-up arrow system. The calculated A2/B2 boundary is found to match well with that determined experimentally. The incorporation of magnetic interaction is also found to have a large influence on the order-disorder transitions. The main advantages of the CSA-CVM approach is that it works efficiently with no initial value dependence on optimization parameters, and in contrast to some of the previously used minimization techniques, it is always found to converge to the global minimum. Another new aspect of the present investigation is that the phase diagram is obtained here by plotting long range order versus composition for the most ordered phase (B2 in this study) and not the commonly used grand potential versus chemical potential curves for various phases, thereby saving a lot of labor. Precise predictions for the variation of heat capacity with temperature have also been made. (C) 2006 Elsevier B.V. All rights reserved.
机译:提出了一种簇变异方法(CVM)与约束模拟退火算法(CSA)相结合的全局自由能最小化方法,作为研究合金相图的一种有效方法。使用拟议的CSA-CVM方法,利用蜂格中的不规则四面体近似,研究了Fe-Co合金系统中300 K至1100 K之间的化学有序转变。对于假设的顺磁性Fe-Co合金(即仅具有化学相互作用)以及同时具有磁性和化学相互作用的Fe-Co合金(即考虑到四元(FeFeCoCo向下箭头)-Fe)进行了计算向上箭头-向下箭头-向上箭头系统。发现计算出的A2 / B2边界与实验确定的边界非常匹配。还发现磁相互作用的结合对有序-无序转变具有很大的影响。 CSA-CVM方法的主要优点是它可以高效工作,而初始值不依赖于优化参数,并且与某些以前使用的最小化技术相比,它总是收敛于全局最小值。本研究的另一个新方面是,这里的相图是通过绘制最有序相(本研究中为B2)的长程有序与成分的关系绘制的,而不是各个相的常用大势与化学势的关系图,从而节省了大量的劳动。还已经准确预测了热容随温度的变化。 (C)2006 Elsevier B.V.保留所有权利。

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