A Diffusion Model of Binary Systems Controlled by Chemical Potential Gradient

M. Wróbel, A. Burbelko
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引用次数: 1

Abstract

The paper presents a model of diffusion in a single phase with chemical potential gradient as the driving force of the process. Fick’s laws are strictly empirical and the assumption that the concentration gradients are the driving forces of diffusion is far from precise. Instead, the gradient of chemical potential μi of component i is the real driving force. The matter of governing equations of models that incorporate this approach will be raised and discussed in this article. One of more important features is the ability to acquire results where diffusion against the concentration gradient may occur. The presented model uses the Finite Difference Method (FDM) and employs the CALPHAD method to obtain chemical potentials. The calculations of chemical potential are carried out for instant conditions – temperature and composition – in the entire task domain by Thermo-Calc via a TQ-Interface. Then the heterogeneity of chemical potentials is translated into mass transfer for each individual element. Calculations of two modelling tasks for one-dimension diffusion field were carried out. First: isothermal conditions with linear initial composition distribution and second: constant temperature gradient with uniform chemical composition in the specimen. Results for two binary solid solutions: Fe-C and Fe-Si, in the FCC phase for the given tasks will be presented. Modelling allows us to estimate the time needed to reach a desired state in a particular equilibrium or quasi-equilibrium state. It also shows the path of the composition change during the process. This can be used to determine whether the system at some point is getting close to the formation of another phase due to significant deviation from its initial conditions.
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化学势梯度控制的二元系统扩散模型
本文提出了以化学势梯度为动力的单相扩散模型。菲克定律是严格的经验性的,浓度梯度是扩散驱动力的假设远远不够精确。相反,组分i的化学势μi梯度才是真正的驱动力。本文将提出并讨论包含这种方法的模型的控制方程问题。更重要的特征之一是能够获得可能发生反浓度梯度扩散的结果。该模型采用有限差分法(FDM)和CALPHAD法求解化学势。化学势的计算是在瞬时条件下进行的-温度和成分-在整个任务域通过热计算通过tq接口。然后化学势的非均质性转化为每个元素的传质。对一维扩散场的两个建模任务进行了计算。一是等温条件,初始成分呈线性分布;二是恒温梯度,试样化学成分均匀。本文将介绍两种二元固溶体:Fe-C和Fe-Si在FCC阶段的实验结果。建模使我们能够估计在特定平衡或准平衡状态下达到所需状态所需的时间。它还显示了在此过程中成分变化的路径。这可以用来确定系统是否在某一点上接近另一个相的形成,因为它与初始条件有很大的偏离。
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