Mesokurtosis Zonal Nonparametric Signal Analysis for Dynamic Characterisation of Metallic Material

This paper presents the development and application of an alternative statistical signal analysis method called mesokurtosis zonal nonparametric (m-z-n) in characterising the elastic properties of metallic material. the transient vibration response and acoustic radiation from rectangular bar of various metallic materials excited by impact is statistically analysed to determine the pattern of the signal and to estimate the significance difference among those metallic materials. prediction of the waveform and a method for reducing noise generation from the impact are derived by an extensive process of a new alternative z-stem filtering technique that has been developed in this paper. the experimental curves obtained by the determination of m-z-n coefficient for various impact forces and metallic materials found that the results are statistically significant and can be successfully used for determining the correlation between the characteristic of the curves and the relevant elastic properties of the metallic materials. experimental test of this analysis method on four metallic materials shows a good agreement between the quadratic coefficients with the elastic properties of the metallic materials.