Characterisation of Mechanical Properties Using I-Kaz Analysis Method under Steel Ball Excitation Technique

The evaluation and design of more productive and cheaper materials and products can be improved by measuring their long lasting mechanical properties. In this study, vibration signals emitted from a steel ball were measured using a regular pulsing excitation method based on A STM E1876 and at the sa...

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Veröffentlicht in:Journal of applied sciences (Asian Network for Scientific Information) 2014-12, Vol.14 (24), p.3595-3603
Hauptverfasser: Jasim, Mohammed T., Nuawi, M.Z., Ziyad, S.S., Bahari, A.R., Nadia, F.M., Mohammed, M.H.
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Sprache:eng
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Zusammenfassung:The evaluation and design of more productive and cheaper materials and products can be improved by measuring their long lasting mechanical properties. In this study, vibration signals emitted from a steel ball were measured using a regular pulsing excitation method based on A STM E1876 and at the same time, data was obtained from the configurations of an accelerometer and a piezofilm sensor. The polymeric materials selected for the proposed design were made up of rectangular bars consisting of cross-sections of polyvinyl chloride (PVC) and cast nylon (MC), acrylic (AC) and polyethylene (PE) with the same dimensions as the sample. The time domain and the frequencies of the vibration signals that were produced during the experiment were examined by means of an alternative statistical analysis method known as the Integrated Kurtosis-Based Algorithm for Z-Filter (I-Kaz(TM)) which was used to decipher the information that was gathered. Two correlation processes were obtained from the material properties (Compressive strength and Bulk modulus) and the I-Kaz(TM), Z super( infinity ) coefficients of the vibration signals picked up by an accelerometer and piezofilm sensor. The results prove that correlation processes can be used with the I-Kaz(TM) methods as standards for determining the properties of materials and that this technique is efficient, safe and cheap.
ISSN:1812-5654
1812-5662
DOI:10.3923/jas.2014.3595.3603