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首页> 外文会议>Annual Symposium on Quantitative Nondestructive Evaluation; 19980719-24; Snowbird,UT(US) >DEFECT CHARACTERIZATION IN COMPOSITES USING A THERMAL TOMOGRAPHY ALGORITHM
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DEFECT CHARACTERIZATION IN COMPOSITES USING A THERMAL TOMOGRAPHY ALGORITHM

机译：热层析成像算法对复合材料的缺陷表征

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摘要

Thermal NDE can be effectively applied for detection of the defects having thermal properties different from the surrounding material. Different image processing procedures help to localize amplitude variations produced by the subsurface defects on thermograms received during the cooling stage after a heat excitation of the subject surface. An application of the thermal tomography method for quantitative defect characterization and defect visualization in composites is studied. The emphasis of the study is the automation of processing of the thermal images. The developed image processing algorithm is applied to the thermal responses received from 3 mm and 22 mm thick carbon fiber reinforced plastic (CFRP) panels with prefabricated defects. The algorithm produces a three-dimensional reconstruction of the defects. The influence of each part of the tomography algorithm on the result of processing is discussed. Geometry of the defects obtained with thermal tomography is compared with thermal diffusivity images computed with a two-sided approach. An effort is made to reduce operator participation in defect detection and visualization and to estimate sensitivity of the thermal method to defects in composites.
机译：热NDE可有效地用于检测具有与周围材料不同的热特性的缺陷。不同的图像处理程序有助于在对象表面受热之后，在冷却阶段接收到的热分析图上的次表面缺陷所产生的振幅变化局部化。研究了热层析成像方法在复合材料中缺陷定量表征和缺陷可视化中的应用。该研究的重点是热图像处理的自动化。所开发的图像处理算法应用于从3毫米和22毫米厚的带有预制缺陷的碳纤维增强塑料（CFRP）面板接收到的热响应。该算法产生缺陷的三维重构。讨论了层析成像算法各部分对处理结果的影响。将通过热层析成像获得的缺陷的几何形状与通过双面方法计算出的热扩散率图像进行比较。努力减少操作员参与缺陷检测和可视化，并估计热方法对复合材料缺陷的敏感性。

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