METALLIC MATERIAL CHARACTERIZATION USING ACOUSTICS SIGNAL ANALYSIS

Abstract

Characterization of material properties is a vital aspect in engineering structural design as it practically use as a mechanical component. Nonetheless with such application, the component is highly vulnerable to failed under active loading condition. To prevent such failure, a reliable test to characterize the in-service structural component and its material properties is highly sought by manufacturing industries. This study is based on non-destructive testing by implementing the acoustics signals to describe the relationship of metallic material properties. Experimental procedure accordance to ASTM 1876 standards was carried out by using an impact hammer within specific range of impact force and acted to the specimens. Four types of materials were used in the study, such as medium carbon steel S50C, stainless steel AISI 304, cast iron FCD 500, and brass. The measurement process involves two types of observation data signal which were acoustic signal and impact force. Subsequently, microphone and an impact hammer were used for data acquisition signals. Acoustic signals are then filtered and analyzed using two methods, namely Integrated Kurtosis based Algorithm for Z-notch filter (I-kaz^TM) and Mesokurtosis Zonal Nonparametric (M-Z-N). The experimental curves obtained by the determination of I-kaz^TM coefficient and M-Z-N coefficient for various impact forces and metallic materials found that the results were 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. Apparently, experimental test of this analysis method on four metallic materials showed a good agreement between the quadratic coefficients with the metallic materials properties.