Macro fiber composite (MFC) 센서를 이용한 음향방출 기술 기반 배관 누수 감지 시스템
Acoustic emission (AE) technology-based leak detection system using Macro-fiber composite (MFC) sensor
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
본 연구에서는 기존 배관 가스 누출 감지에 사용되던 음향방출 센서가 실시간 모니터링에 적용될 때 발생할 수 있는 문제들을 개선하기 위해, Macro-fiber composite (MFC) 트랜스듀서를 음향방출 센서로 사용하여 가스 누출 감지 시스템에 적용하였다. 적용 전 MFC의 구조를 최적화 하기위해 구조해석을 진행하여 제작하였고, 그 결과 MFC가 가지는 유연성으로 굴곡진 배관에 잘 밀착되어 AE 신호를 문제없이 수신할 수 있었다. AE 신호 분석 결과 고압 누출, 저압 누출 모두 파라미터 값 변화에 유의미한 결과를 보였으며, 특히, FFT 그래프의 파라미터에서 고압 누출의 경우 누출이 없는 경우 대비 120% ~ 626 %의 변화량, 저압 누출의 경우 9% ~ 22%의 변화량을 보였다. 또한, 누출 발생 부위에서의 거리에 따라, 거리가 멀수록 이러한 파라미터 변화량이 줄어드는 경향을 보여, 추후 파라미터 변화량 감지를 통해 누출 감지가 가능할 뿐만 아니라, 변화량으로부터 누출 발생 위치를 파악할 수 있을 것으로 보인다.
Abstract
In this study, aimed at improving the existing acoustic emission sensor for real time monitoring, a macro-fiber composite (MFC) transducer was employed as the acoustic emission sensor in the gas leak detection system. Prior to implementation, structural analysis was conducted to optimize the MFC's design. Consequently, the flexibility of the MFC facilitated excellent adherence to curved pipes, enabling the reception of acoustic emission (AE) signals without complications. Analysis of AE signals revealed substantial variations in parameter values for both high-pressure and low-pressure leaks. Notably, in the parameters of the Fast Fourier Transform (FFT) graph, the change amounted to 120% to 626% for high-pressure leaks compared to the case without leaks, and approximately 9% to 22% for low-pressure leaks. Furthermore, depending on the distance from the leak site, the magnitude of change in parameters tended to decrease as the distance increased. As the results, in the future, not only will it be possible to detect a leak by detecting the amount of parameter change in the future, but it will also be possible to identify the location of the leak from the amount of change.
참고문헌 (16)
- Scruby, C. B., "An Introduction to Acoustic Emission", Journal of Physics E : Scientific Instruments, 20(4), pp.946~953 (1987)
- Dornfeld, D., "Application of Acoustic Emission Techniques in Manufacturing", Ndt & E International, 25(6), pp.259~269 (1992)
- S. Gholizadeh, "A review of the application of acoustic emission technique in engineering", Structural Engineering and Mechanics, An Int＇l Journal, 54(6), pp.1075~1095 (2015), 국제구조공학회
- Huguet, S., "Use of Acoustic Emission to Identify Damage Modes in Glass Fibre Reinforced Polyester", Composites Science and Technology, 62(10), pp.1433~1444 (2002)
- Yu, L., "Acoustic Emission(AE)Based Small Leak Detection of galvaNized Steel Pipe due to Loosening of Screw Thread Connection", Applied Acoustics, 120, pp.85~89 (2017)
- Nair, A., "Acoustic Emission Monitoring of Bridges : Review and Case Studies", Engineering Structures, 32(6), pp.1704~1714 (2010)
- Carpinteri, A., "Structural Damage Diagnosis and Life-time Assessment by Acoustic Emission Monitoring", Engineering Fracture Mechanics, 74(1), pp.273~289 (2007)
- Roberts, T., "Acoustic Emission Monitoring of Fatigue Crack Propagation", Journal of Constructional Steel Research, 59(6), pp.695~712 (2003)
- Eaton, M., "Use of Macro Fibre Composite Transducers as Acoustic Emission Sensors", Remote Sensing, 1(2), pp.68~79 (2009)
- De Castro, B. A., "Assessment of Macro Fiber Composite Sensors for Measurement of Acoustic Partial Discharge Signals in Power Transformers", IEEE Sensors Journal, 17(18), pp.6090~6099 (2017)
- Brunner, A. J., "Acoustic Emission Leak Testing of Pipes for Pressurized Gas Using Active Fiber Composite Elements as Sensors", Journal of Acoustic Emission, 25, pp.42~50 (2007)
- Sodano, H. A., "An Investigation into the Performance of Macro-fiber Composites for Sensing and Structural Vibration Applications", Mechanical Systems and Signal Processing, 18(3), pp.683~697 (2004)
- Song, H. J., "Energy Harvesting Devices Using Macro-fiber Composite Materials", Journal of Intelligent Material Systems and Structures, 21(6), pp.647~658 (2010)
- Bilgen, O., "Macro-fiber Composite Actuators for a Swept Wing Unmanned Aircraft", The Aeronautical Journal, 113(1144), pp.385~395 (2009)
- Gao, L., "Acoustic Emission-based Small Leak Detection of Propulsion System pipeline of Sounding Rocket", Shock and Vibration, 2020, pp.1~9 (2020)
- Ullah, N., "Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms", Sensors, 23(6), pp.3226~ (2023)