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Reconstruction of depth-dependent parameter profiles based on photothermal measurements

机译:基于光热测量的深度相关参数轮廓重建

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Microstructural changes in a near-surface zone, as they appear at the hardening of steel, machining of ceramics, laser treatments or wear, occur together with modifications of their thermal properties. Therefore, the influences of such processeson the surface layer become detectable non-destructively by photothermal means. Today, the thickness determination of the affected zone via calibration curves is regarded as state of the art, whereas an increasing attention is focused on the numericalevaluation of the depth-dependent parameter profile, i.e. the material changes as a function of depth, mostly obtained by destructive tests, as yet. This paper presents the theoretical basics of a parameter profile reconstruction, based on photothermallymeasured data. It compares analytical solutions, derived directly from the thermal diffusion equation (TDE), with numerical approaches using the Finite Difference Method (FDM), both aiming at a quick and non-destructive control of near-edge affectingprocesses. Both models are applied to photothermal measurements, leading to calculated depth profiles of hardness in steel, which are compared with data, destructively obtained from the same samples using Vickers indentation techniques.
机译:在钢的硬化,陶瓷的机械加工,激光处理或磨损中出现的近表面区域中的微观结构变化,连同其热性能的改变一起发生。因此,这种过程对表面层的影响可以通过光热手段无损检测。如今,通过校准曲线确定受影响区域的厚度已被认为是最新技术,而越来越多的注意力集中在对深度相关的参数轮廓的数值评估上,即材料随深度的变化主要通过以下方法获得:破坏性测试,到目前为止。本文介绍了基于光热测量数据的参数轮廓重建的理论基础。它将直接从热扩散方程(TDE)导出的分析解决方案与使用有限差分法(FDM)的数值方法进行了比较,两者均旨在快速,无损地控制近边缘影响过程。两种模型都适用于光热测量,从而得出计算出的钢的深度深度分布图,并与数据进行比较,这些数据是使用维氏压痕技术从相同样品中破坏性地获得的。

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