Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/7377
Title: | Material Mechanical Property Correlation Study Using Vibration Signal Analysis |
Authors: | Zailan Abdul Karim Izatul H.A. R. S.A. S. Azuan Mastura S. A.Y. M. Said A.R. Bahari J.A. Ghani M.Z. Nuawi |
Keywords: | Material mechanical property I - kaz correlation vibration |
Issue Date: | 2013 |
Publisher: | American-Eurasian Network for Scientific Information |
Series/Report no.: | Australian Journal of Basic and Applied Sciences; |
Abstract: | The identification of material’s specific mechanical properties can be achieved by analyzing its dynamic resonance or dynamic pulse response. This paper proposes a method to find the correlation between a specific material mechanical property and the specific coefficient ( 7 Z ∞ ) by the application of an alternative statistical analysis method called Multilevel Integrated Kurtosis Algorithm with Z - notch Filter (I - kaz Multilevel). In this study, four rectangular bars with different materials were excited by impact test. An impact ham mer was used as the impactor which connected to the puls e analyzer and then to the computer to measure the force applied during the impact. The test was conducted in an anechoic room and an accelerometer sensor was used to capture the vibration responses generated during the impact test . The signals were analyz ed using I - kaz Multilevel signal analysis to determine value of 7 Z ∞ coefficients for each impact test for the four materials. The plot of I - kaz Multilevel coefficients versus impact forces reveals a quadratic curve with the average R squared values equal to 0.998 . The coefficient value of the quadratic equation for each curve that represents each material can be used to correlate the mechanical loss coefficient of the material mechanical properties for vibration signal analysis. |
Description: | Published in ISI (Open Access) |
URI: | http://ajbasweb.com/old/ajbas/2013/March/94-99.pdf http://localhost/xmlui/handle/123456789/7377 |
ISSN: | 1991 - 8178 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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232-241.pdf | 602.92 kB | Adobe PDF | View/Open |
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