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http://dx.doi.org/10.5369/JSST.2015.24.3.169

Development of the Natural Frequency Analysis System to Examine the Defects of Metal Parts  

Lee, Chung Suk (Dept. of physics, Incheon National Unversity)
Kim, Jin Young (Dept. of physics, Incheon National Unversity)
Kang, Joonhee (Dept. of physics, Incheon National Unversity)
Publication Information
Journal of Sensor Science and Technology / v.24, no.3, 2015 , pp. 169-174 More about this Journal
Abstract
In this study, we developed a system to detect the various defects in the metallic objects using the phenomenon that the defects cause the changes of the natural resonant frequencies. Our system consists of a FFT Amp, an Auto Impact Hammer, a Hammer controller and a PC. Auto Impact Hammer creates vibrations in the metallic objects when tapped on the surface. These vibrational signals are converted to the voltage signals by an acceleration sensor attached to the metallic part surface. These analog voltage signals were fed into an ADC (analog-digital converter) and an FFT (fast fourier transform) conversion in the FFT Amp to obtain the digital data in the frequency domain. Labview graphical program was used to process the digital data from th FFT amp to display the spectrum. We compared those spectra with the standard spectrum to find the shifts in the resonant frequencies of the metal parts, and thus detecting the defects. We used PCB's acceleration sensor and TI's TMS320F28335 DSP (digital signal processor) to obtain the resolution of 2.93 Hz and to analyze the frequencies up to 44 kHz.
Keywords
Natural Frequency; Metal; ADC (analog-digital converter); FFT (fast fourier transform);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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