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Remote aircraft composite inspection using 3D imaging

机译:使用3D影像进行远程飞机复合检查

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The problem stated is there is no reliable in-service inspection method that quickly and easily detects the composite material damage. The aerospace industry needs to make efficient use of the inspections to turn the aircraft around in an efficient timeframe. This paper discusses the methodology for semi-automatic visualization of the process of inspecting composite materials for damage. The research is focused on the application of inspection of composite damage in aircrafts using Light Detection and Ranging (LIDAR). Two configurations using the LIDAR is discussed in determining damage to an aircraft. The configurations are derived from several studies using smaller aircraft parts and a small autonomous RMax helicopter. This study helps provide a solution for a quick turnaround and an efficient scan of the possible composite damage in aircraft. The four primary objectives are: Objective 1: Determine whether semi-automated three-dimensional visualization composite inspection techniques are as effective as experienced human inspectors in locating potential composite damage. Objective 2: Determine whether data from several Light Detection and Ranging (LIDAR) cameras can be combined for use in conducting semi-automated three-dimensional visualization composite inspections. Objective 3: Determine whether LIDAR camera scans can be performed on a moving aircraft for use with semi-automated three-dimensional visualization composite inspections. Objective 4: Assess the important human factors contributors associated with interpreting the LIDAR camera scan data.
机译:指出的问题是,没有一种可靠的在役检查方法能够快速,轻松地检测复合材料的损坏。航空航天业需要有效利用检查,以在有效的时间内使飞机转身。本文讨论了用于检查复合材料是否损坏的过程的半自动可视化方法。该研究的重点是使用光探测与测距(LIDAR)的飞机在复合材料损伤检查中的应用。在确定对飞机的损害时,讨论了使用激光雷达的两种配置。这些配置是通过使用较小的飞机部件和小型自主RMax直升机进行的几项研究得出的。这项研究有助于为快速周转和有效扫描飞机可能的复合材料损坏提供解决方案。四个主要目标是:目标1:确定半自动三维可视化复合检查技术在确定潜在复合损坏方面是否与经验丰富的人类检查员一样有效。目标2:确定是否可以合并来自多个光检测和测距(LIDAR)摄像机的数据,以用于进行半自动三维可视化复合检查。目标3:确定是否可以在移动飞机上执行LIDAR相机扫描,以用于半自动三维可视化复合检查。目标4:评估与解释LIDAR相机扫描数据有关的重要人为因素。

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