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首页> 外文期刊>Electronic Letters on Computer Vision and Image Analysis: ELCVIA >Analyzing objects in images for estimating the delamination influence on load carrying capacity of composite laminates.
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Analyzing objects in images for estimating the delamination influence on load carrying capacity of composite laminates.

机译:分析图像中的对象以估计分层对复合层压板的承载能力的影响。

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The use of fiber reinforced plastics has increased in the last decades due to their unique properties. Advantages of their use are related with low weight, high strength and stiffness. Drilling of composite plates can be carried out in conventional machinery with some adaptations. However, the presence of typical defects like delamination can affect mechanical properties of produced parts. In this paper delamination influence in bearing stress of drilled hybrid carbon+glass/epoxy quasi-isotropic plates is studied by using image processing and analysis techniques. Results from bearing test show that damage minimization is an important mean to improve mechanical properties of the joint area of the plate. The appropriateness of the image processing and analysis techniques used in the measurement of the damaged area is demonstrated.
机译:在过去的几十年中,由于纤维增强塑料的独特性能,其使用量有所增加。使用它们的优点与重量轻,强度高和刚度高有关。复合板的钻孔可以在常规机器中进行一些调整。但是,典型缺陷(如分层)的存在会影响所生产零件的机械性能。本文采用图像处理和分析技术研究了分层对钻制碳+玻璃/环氧准各向同性混合板的轴承应力的影响。轴承测试的结果表明,最小化损伤是改善板接缝区域机械性能的重要手段。演示了用于测量受损区域的图像处理和分析技术的适当性。

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