Chair: Dr. Dong-Cheon BAEK (Korea Institute of Machinery and Materials)
Recent Advances at KAIST in In-process NDE and Smart Hangar for Aerospace SHM Prof. Jung-Ryul LEE (KAIST)
Recently, we are in transition from metallic to composite in operation and manufacturing of aerospace structures. NDE, SHM, and PHM are all over used, in design, manufacturing, operation and overhau stepsl in their lifes. In this invited talk, opto-electronic systems capable of in-process NDE, in-situ NDE and integrated SHM and thier real world applications are introduced. In addition, their field implementation scenario are proposed and advances in Smart Hangar are introduced.
Development of Compressor Blade Prognostics and Health Management for Large Gas Turbine Engine Mr. Luke PARK, Donghyeon HWANG and Samsik NAM (DOOSAN Heavy Industries and Construction, DOOSAN Heavy Industrie and Construction)
DOOSAN has been developed large gas turbine since 2014 as a national project in Korea. Recent researches showed that one of major risk item in gas turbine development is compressor rotor blade failure. There are several events of compressor rotor blade failure which have occurred over the last few years, in some cases causing catastrophic damage to the entire compressor. In response to these issues, DOOSAN started to develop compressor monitoring system to prevent failures and diagnose blades to assess the structural integrity of each blades. This paper presents the ideas and plans how DOOSAN will develop the system with latest sensors. Additionally, validation methods will be presented using sub-scaled test rig in 2018 and real scale engine test in 2019, respectively.
Wavelet-based wavenumber filtering for damage detection with a scanning laser sensing system Mr. DuHwan KIM, Michael D. TODD and Gyuhae PARK (Chonnam National University, University of California, San Diego)
This paper describes the use of wavelet-based wavenumber filtering for damage detection with a signal-frequency standing wave excitation on thin plate structures. Using a single, fixed frequency excitation from a mounted piezoelectric transducer, the full standing wave-field could be obtained using a Laser Doppler Vibrometer (LDV) with a mirror-tilting device. After scanning, a wavelet-based wavenumber filtering is performed to determine dominant wavenumber components, which could be used for indicative of structural damage. Mapping processes based on the wavelet-based wavenumber filtering is then carried out for damaged area visualization. To demonstrate the proposed techniques, several experiments are performed on thin walled structures with several different types of damage (corrosion, debonding). The results demonstrate that the techniques are very effective in localizing damage with the potential for the improved speed and the performance for damage detection.