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Calorimetric modeling of thermographic data

机译:热成像数据的量热建模

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Thermographic data is typically analyzed in terms of thermal time of light methods. Information regarding the depth of flaws in metal an composite materials can be obtained in this manner. Small discrepancies between experimental data and actual depth of flaw have been observed when the flaw diameter varies while the depth remains constant. The slope of the rising portion of the contrast curve has been shown to be more insensitive to these types of effects. Most of these types of analysis are empirical in nature and strongly depend on the material being studied. Simple calorimetric arguments have recently been derived which also allow for the deviation of the same depth information but at the same time provide more insight into the thermographic process. In this talk these simple calorimetric arguments will be presented and correlated to experimental results from samples with various flat bottom holes. Results on Al and polymer matrix composites will be presented.
机译:通常在光途热量的热时间方面分析热敏数据。 关于金属缺陷深度的信息可以以这种方式获得复合材料。 当缺陷直径变化时,已经观察到实验数据和实际缺陷深度之间的小差异。 对比度曲线的上升部分的斜率已被证明对这些类型的效果更不敏感。 这些类型的分析中的大多数是实际的,强烈取决于所研究的材料。 最近获得了简单的量热争论,该参数也允许相同的深度信息的偏差,但同时提供更多地洞察热量过程。 在此谈话中,将呈现这些简单的量热争论和与具有各种平底孔的样品的实验结果相关。 将介绍Al和聚合物基质复合材料的结果。

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