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Session: Poster pitches day 1
Session starts: Monday 26 June, 09:50
Presentation starts: 09:50

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Min-Ji Im ()
Jung-Ryul Lee ()

Abstract:
With the development of the aerospace industry, demand for maintenance and repair technologies for large structures such as aircraft, unmanned aerial vehicle, and reusable rocket is increasing. Damage to large structures can result in structural destruction due to acceleration of damage caused by impact and vibration of structures. To prevent this, studies such as structural health monitoring and non-destructive evaluation are being actively conducted. Fast and efficient evaluation technology is required due to the increase in demand and size of the aerospace industry. Most of the existing measurement methodologies rely on manual inspection, and the accuracy and efficiency are unsatisfactory. This paper introduces a mobile robotic non-destructive inspection system of large-scale and inaccessible components. This inspection system is capable of inspecting internal defects on large structures, aircraft lower parts, curved structures. Damage existing inside the structure was visualized by using an ultrasonic wave imaging system. The beam match between excitation and sensing laser was implemented based on vision. Current position and posture estimation were implemented with SLAM. In addition, it is possible to automate non-destructive inspection by transmitting the desired inspection place using Wi-Fi-based wireless communication. The proposed measurement system and method are verified by measuring a 2 m long aircraft wing model.