Composite materials are being successfully used in aeronautics for more than two decades. This great success is mainly because this kind of materials is typically lighter when compared to metals and more resistant to corrosion. Resistance and stiffness of composite materials are usually related to their fiber orientation. The development of non-destructive methods is required to assess this kind of property without damaging the sample. In this work, a non-destructive method based on infrared thermography is presented for fiber orientation assessment. More specifically, two approaches are presented and results are compared for fiber orientation assessment of randomly oriented strand parts. The first one is a point-by-point inspection based on pulsed thermal ellipsometry and the second one is a line approach based on flying laser spot inspection combined with neural artificial networks. Results showed that the second approach provides similar accuracy when compared to the first one; however, it is much faster which makes the second approach very interesting for industrial applications.

中文翻译：

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随机取向绞线材料纤维取向评估的点线热像检测对比研究

复合材料在航空领域的成功应用已超过二十年。这种巨大的成功主要是因为与金属相比，这种材料通常更轻，更耐腐蚀。复合材料的电阻和刚度通常与其纤维取向有关。需要开发无损方法来评估这种特性而不损坏样品。在这项工作中，提出了一种基于红外热成像的非破坏性方法用于纤维取向评估。更具体地说，提出了两种方法，并对随机取向的股线部分的纤维取向评估结果进行了比较。第一种是基于脉冲热椭偏仪的逐点检测，第二种是基于飞行激光点检测结合神经人工网络的线方法。结果表明，与第一种方法相比，第二种方法提供了相似的准确性；然而，它要快得多，这使得第二种方法对工业应用非常有趣。