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Strain Energy Effects in the Spinodal Decomposition of Cu-Ni(Fe) Nanolaminate Coatings

机译:Cu-Ni(Fe)纳米层压板旋节线分解中的应变能效应。

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A model for spinodal decomposition must account for interface effects that include gradient and strain energy terms. The measurement of diffusion in the Cu-Ni(Fe) alloy for the special case of nanolaminate structured coatings is considered wherein the composition fluctuation is one-dimensional along 111. An analytic approach is taken to model the kinetics of the transformation process that provides quantification of the strain energy dependence on the composition wavelength, as well as the intrinsic diffusivities and higher-order gradient-energy coefficients. The variation of the wave amplification factor R with wavenumber is modeled first to incorporate the boundary condition for growth at infinite wavelength. These results are used next to determine the gradient energy coefficients Kμ by modeling the interdiffusion coefficient ĎB variation with wavenumber, where a unique determination of the diffusion coefficient Ď is made. The value of the strain energy component that originates from interface strains associated with the epitaxial growth between layers is then determined by assessing the variation of wavelength-dependent amplification factors. A peak value of 9.4 × 107 J·m−3 for the strain energy is computed for Cu-Ni(Fe) nanolaminate coatings with 2–4 nm composition wavelengths.
机译:旋节线分解模型必须考虑包括梯度和应变能项在内的界面效应。对于纳米层压结构涂层的特殊情况,考虑了在Cu-Ni(Fe)合金中扩散的测量,其中沿着<111>的组成波动是一维的。采取了一种分析方法来模拟转换过程的动力学,该动力学提供了对依赖于组分波长以及固有扩散率和高阶梯度能量系数的应变能依赖性的量化。首先对波放大因子R随波数的变化进行建模,以纳入在无限波长处生长的边界条件。接下来,通过利用波数对互扩散系数Ď B 变化进行建模,将这些结果用于确定梯度能量系数K μ,从而唯一确定扩散系数unique。然后通过评估与波长有关的放大因子的变化来确定源自与层之间的外延生长相关的界面应变的应变能分量的值。计算了组成波长为2-4 nm的Cu-Ni(Fe)纳米层压板的应变能峰值为9.4×10 7 J·m −3

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