Layer thickness measurement of ceramic systems with a numerical model for flash thermography

J. Frisch, L. Sripragash, M. Goldammer, C. Grosse
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Abstract

Thermography is a non-destructive testing technique which is non-contacting as well as imaging and therefore advantageous for delicate materials. It is more widely used for qualitative evaluation but can also provide data for a quantitative analysis when the heat source is actively controlled. With flash thermography, fast diffusion or conduction processes can be monitored, providing an effective method for the inspection of metals and thin coatings. Ceramic layered systems are used as thermal barrier coatings, for example on turbine blades. Gas turbines with such blades can be operated at higher temperatures, which leads to an increase in efficiency. To fully exploit this advantage, the properties and thickness of the coating must be within a predefined parameter range. Due to the challenging and hard to monitor manufacturing process, the coating must be examined afterwards. With the help of a numerical model using a finite difference solution, multiple material parameters such as thermal conductivity and layer thickness can be determined simultaneously with nonlinear regression fitting. During the research presented herein, a four-stepped sample of ceramic coatings on an Inconel steel basis is examined and the thermographic data analysed. After the thermographic measurements, the sample was cut, embedded in resin, and polished. The scanning electron microscopy images and measurements serve as the reference values to compare the extracted parameters to.
用闪光热成像数值模型测量陶瓷系统的层厚
热成像是一种无损检测技术,它既不接触也不成像,因此对精细材料非常有利。它更广泛地用于定性评价,但当热源被主动控制时,也可以为定量分析提供数据。利用闪蒸热成像技术,可以监测快速扩散或传导过程,为金属和薄涂层的检测提供了一种有效的方法。陶瓷层状系统被用作热障涂层,例如在涡轮叶片上。带有这种叶片的燃气轮机可以在更高的温度下运行,从而提高效率。为了充分利用这一优势,涂层的性能和厚度必须在预定义的参数范围内。由于制造过程具有挑战性且难以监控,因此必须在事后对涂层进行检查。在有限差分解数值模型的帮助下,非线性回归拟合可以同时确定材料的多个参数,如导热系数和层厚。在本文的研究中,对以铬镍铁钢为基础的陶瓷涂层进行了四步取样,并对热成像数据进行了分析。热成像测量后,样品被切割,嵌入树脂,并抛光。扫描电镜图像和测量值作为比较提取参数的参考值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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