Abstract
Grain size estimation in polycrystalline materials using ultrasonic backscattered echoes has significant practical implications in evaluating the integrity of materials during their manufacture and use. In addition, it has been shown that certain material characteristics can be evaluated based on grain size analysis. Therefore, reliable methods for nondestructively evaluating the grain size are highly desirable in industrial applications. However, the complexity of the ultrasonic backscattered signal, which consists of interfering multiple echoes with random positions and amplitudes, makes accurate grain size evaluation difficult with conventional signal processing techniques. In this paper, analytical calculations based on a statistical scattering model are presented which show that the average grain size can be extracted from the power spectrum of the backscattered echoes obtained by deconvolution. The simulation results presented here show the potential feasibility of the proposed method in practical applications.
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