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김인걸;정석모
- Composites Research
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- v.13 no.6
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- pp.47-54
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- 2000
One promising method for impact detection of composite structures is based on the use of piezopolymer thin fim (PVDf) sensor. In this paper, the relationship between the contact force and the signals of the attached strain gage and PVDF sensor to the composite plate subjected to low-velocity impact were derived. The relation for the open circuit and short circuit voltage of PVDF sensor was derived based on the equivalent circuit model of the piezoelectric sensor. The work was then extended to include experimental investigation into the use of short circuit voltage of PVDF sensor without using charge amplifier to detect low-velocity impact. The natural frequencies and damping ratio of the composite plate obtained from the vibration test were used to modify the analytical model and therefore the differences between measured and simulated signal of the modified analytical model in both forward and backward problem were considerably reduced. The reconstructed contact force and simulated sensor signals agreed well with the measured contact force, strain gage signal, and PVDF sensor singanl.
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Lee, Ki-Seong;Jeong, Tae-Woon
- Proceedings of the KIEE Conference
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- 2003.07d
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- pp.2477-2479
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- 2003
본 연구에서는 타이어의 중량 불균일 측정을 위한 메카니즘의 모델링 및 분석을 통해 로드셀에 의해 샘플링된 신호를 해석하여 불균일량을 측정하는 방법을 제안한다. 진동역학적인 모델을 근거로 신호의 변환과 영향계수의 산출을 통해 정확한 불균형량 측정을 가능하게 하였다.
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Lee, Chang-Hee;Kim, Yong-Yun
- Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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- 2007.05a
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- pp.457-462
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- 2007
This paper reports on the research which investigates acoustic signals acquired in turning with rough and finish simultaneously. The material is aluminum thin pipe. Two acoustic sensors were set on CNC machine. One was set on the finish bite and the other the rough. Two signals were first analyzed in order to consider how much the acoustic signal from the finish bite was coupled by that from the rough. A simple data collecting system to acquire signals from the finish was then determined because two acoustic signals were little coupled. Second the fundamental experiments were accomplished to study the effects of machine vibration and material state. The signal characteristics due to surface defects were studied from the collected acoustic signal data. The signal analysis was based on real time data, root mean squared average and frequency spectrum by fast fourier transform. As a result, the acoustic signals were made effects by machine condition, material structure. The acoustic signal from the finish bite was closely correlated with surface quality. Two types surface micro defects were then evaluated by the signal characteristics.
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