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A simple method for stable identification of diffusion coefficients in the quasi-steady state of a post-discharge nitriding process

机译:一种稳定识别放电后氮化过程准稳态扩散系数的简单方法

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This work presents a method for computing the diffusion coefficients during post-discharge nitriding through an inverse problem of coefficient identification in a model of the quasisteady state. The related moving boundary diffusion problem is modeled by the authors taking into account the observed qualitative behaviour of the nitriding process in a laboratory. A constrained Goodman's type model is proposed to simulate the concentration profiles of the layers at the quasi-steady state. To develop an algorithm for the identification of the diffusion coefficients, using experimental data of the concentrations at different levels of depth, a least squares problem is solved. The solution method is reduced, with some algebraic manipulations, into a simple geometrical rule. Finally, the approach is applied when data errors are taken into account and a regularization algorithm is proposed.
机译:这项工作提出了一种通过准稳态模型中系数识别的反问题来计算放电后氮化过程中扩散系数的方法。作者考虑到实验室中氮化过程的定性行为,对相关的移动边界扩散问题进行了建模。提出了一种约束古德曼模型,以模拟准稳态下各层的浓度分布。为了开发一种识别扩散系数的算法,使用不同深度水平的浓度的实验数据,可以解决最小二乘问题。通过一些代数运算,求解方法被简化为简单的几何规则。最后,在考虑数据错误并提出正则化算法的情况下应用该方法。

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