基于超声导波的铝合金缺陷识别与定位

Mastan Raja Papanaboina, E. Jasiūnienė
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引用次数: 5

摘要

飞机部件损伤评估是避免结构失效的关键环节。一般情况下,由于飞行载荷、维修过程中的事故和环境条件等原因,可能会造成损坏。飞机的主要机身,如机翼和机身,都覆盖着薄铝合金。飞机机翼外皮的损坏构成了严重的威胁。传统的无损检测(NDT)往往需要拆卸部件进行检测,耗时较长。导波结构健康监测(GWSHM)是大型结构检测的一种替代方法,具有省时、经济的优点。然而,利用多模高色散导波进行缺陷识别和定位需要大量的知识。在本研究中,通过数值模拟对多种缺陷进行了研究。缺陷可以通过测量信号的飞行时间(ToF)和延迟时间来识别和定位。利用希尔伯特变换(Hilbert Transform, HT)和过零技术来测量信号的ToF以使缺陷存在,并分析两个信号之间的延迟时间以使缺陷定位。
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The Defect Identification and Localization using Ultrasonic Guided Waves in Aluminum Alloy
The assessment of damages in the aircraft components is a key aspect to avoid structural failure. In general, damages may occur due to flight load, accidents during the maintenance and environmental conditions. Primary airframes such as aircraft wings and fuselages are covered with thin aluminum alloys. The damages in the aircraft wing skins are posing a serious threat. The traditional non-destructive testing (NDT) often requires dismantling the component for inspection, consuming more time. Guided wave structural health monitoring (GWSHM) is an alternative to inspect the large structures, it is a time saving and cost-effective. However, the defect identification and localization using multi-mode and highly dispersive guided waves requires significant knowledge. In this research, multiple defects are examined by performing numerical simulation. The defect can be identified and located by measuring the Time of Flight (ToF) and delay time of a signal. The Hilbert Transform (HT) and Zero-crossing techniques are used to measure the ToF of the signal to enable defect presence and the delay time between two signals are analyzed to enable defect location.
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