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Evaluation of ballistic events using a moire fringe image processing methodology

机译:使用莫尔条纹图像处理方法评估弹道事件

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Abstract: This paper describes a Moire fringe based image analysis system that was developed to determine the out-of-plane deformation of target plates impacted by high velocity projectiles. Due to the highly dynamic conditions that occur as the results of these impacts, such data are very difficult to acquire and analyze. Nevertheless, they are essential for the evaluation of armor materials designed to minimize behind- armor debris, and to study the fracture effects of very strong yet brittle advanced armor materials. Additionally, the data sought is required for fundamental verification of computational material models meant to simulate failure in ballistic experiments. The major goal for developing such a system was therefore to image and analyze the three- dimensional high-speed deformation, fracturing, and propagation of fractures that leads to the onset of fragmentation of targets during impact. The specific image processing methodologies discussed include noise reduction, automated and assisted Moire fringe finding, and the remapping of two-dimensional fringe patterns into three-dimensionally distorted surfaces. Results of applying the image processing system are also provided and methods for increasing system robustness in the presence of higher levels of noise are also discussed. !9
机译:摘要:本文介绍了一种基于莫尔条纹的图像分析系统,该系统用于确定受高速弹丸撞击的目标板的平面外变形。由于这些影响的结果是高度动态的条件,因此很难获取和分析此类数据。然而,它们对于评估旨在最小化后装甲碎片的装甲材料以及研究非常坚固而又易碎的高级装甲材料的断裂效应至关重要。此外,所需的数据是计算材料模型的基本验证所必需的,这些材料旨在模拟弹道实验中的失败。因此,开发这种系统的主要目标是对三维高速变形,断裂和裂纹扩展进行成像和分析,从而导致目标在撞击过程中破碎。所讨论的特定图像处理方法包括降噪,自动和辅助的莫尔条纹条纹查找,以及将二维条纹图案重新映射为三维变形的表面。还提供了应用图像处理系统的结果,并且还讨论了在存在较高噪声水平时提高系统鲁棒性的方法。 !9

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