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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Structural health monitoring of an adhesively bonded CFRP aircraft fuselage by ultrasonic Lamb Waves
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Structural health monitoring of an adhesively bonded CFRP aircraft fuselage by ultrasonic Lamb Waves

机译:超声羔羊波的粘粘合CFRP飞机机身的结构健康监测

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摘要

The aviation industry faces the challenge of offering aircraft that are lighter, more economical, and safer. One of the solutions is to increase the use of composites. For these materials, adhesive bonding has proven to be the appropriate joining technology. To check these adhesive joints, costly and time-consuming maintenance measures are carried out. An intelligent Structural Health Monitoring (SHM) system can extend these intervals and allow the use of a predictive maintenance system. This paper describes the method of Ultrasonic Lamb Waves for monitoring a adhesively bonded Carbon Fiber Reinforced Polymer (CFRP) aircraft fuselage. Prior to this, the production of a segment of a fuselage and the characterization of the materials (CFRP and adhesive) is shown. Afterwards the method of Ultrasonic Lamb Waves with the use of piezoelectric transducers and signal processing based on the Reconstruction Algorithm for Probabilistic Inspection of Damage (RAPID) algorithm are explained. At the end, the experimental evaluation of an undamaged and a damaged fuselage structure is done. The results have shown the possibility of RAPID algorithm for damage detection on adhesive. An outlook on future work is given.
机译:航空工业面临着提供更轻,更经济和更安全的飞机的挑战。其中一个解决方案是增加复合材料的使用。对于这些材料,粘合剂粘合已被证明是适当的连接技术。为了检查这些粘合剂,进行昂贵和耗时的维护措施。智能结构健康监测(SHM)系统可以扩展这些间隔并允许使用预测性维护系统。本文介绍了用于监测粘合粘合的碳纤维增强聚合物(CFRP)飞机机身的超声杆波的方法。在此之前,示出了制造机身的一段和材料的表征(CFRP和粘合剂)。然后,解释了利用压电换能器的超声λ和基于概率检测的概率检测概率检查的信号处理的方法,解释了超声λ和信号处理。最后,完成了未脉冲和损坏的机身结构的实验评估。结果表明,快速算法用于粘合剂的损伤算法。给出了未来工作的展望。

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