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Characterization of mesoscale geometrical features of a preform using spectral Moiré analysis on pressure print
Composites Part A: Applied Science and Manufacturing ( IF 8.1 ) Pub Date : 2021-08-25 , DOI: 10.1016/j.compositesa.2021.106608
S. Bancora 1 , C. Binetruy 1, 2 , S. Advani 1, 2 , S. Comas-Cardona 1
Affiliation  

In the frame of LCM processes, the mesoscopic architecture of a preform is defined by the sequential stacking of layers in the mold. Once the compaction is carried out, the precise orientation of layers and spatial distribution of tows is difficult to know with precision. The lack of this information can lead to a wrong prediction of properties. In this work, we present a new non-destructive methodology to obtain information about the mesoscale architecture of a multi-layer preform in its compacted state. Using a flexible pressure-sensitive film, the compaction pressure field is captured. Data is analyzed using spectral Moiré theory to retrieve the orientation and spatial distribution of tows for each layer in the stack. This technique is non-destructive and scalable in size, making it suitable to characterize large preforms before infusion. The methodology is detailed and tested over a varying number of layers and configurations.



中文翻译:

使用压力印刷的光谱莫尔分析表征预制件的中尺度几何特征

在 LCM 工艺的框架中,预制件的细观结构由模具中层的顺序堆叠定义。一旦进行压实,就很难准确了解层的精确方向和丝束的空间分布。缺乏这些信息可能会导致对属性的错误预测。在这项工作中,我们提出了一种新的非破坏性方法来获取有关处于压实状态的多层预制件的中尺度结构的信息。使用柔性压敏薄膜,可捕获压实压力场。使用光谱莫尔理论分析数据以检索堆栈中每一层的丝束的方向和空间分布。该技术具有非破坏性且尺寸可扩展,因此适合在灌注前表征大型预制件。

更新日期:2021-09-03
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