Abstract
In ultrasonic non-destructive evaluation, the tasks of flaw detection and characterization in polycrystalline materials are inhibited by grain noise. An estimate of the average power spectrum of the noise can be useful in assessing the probability of flaw detection and in suppressing the noise in order to enhance flaw detection and characterization. In this paper, a model-based approach is presented for estimating the average power spectrum associated with backscattered grain noise. The approach allows grain noise measurements made at one measurement system configuration to be used as a basis for estimating the noise power spectrum for different measurement system configurations. The modelling approach determines a noise power spectrum estimate by combining an estimate of the material's longitudinal-wave and transverse-wave backscatter coefficients with the distributed scatterer measurement system response functions for the measurement system configuration of interest. Power spectrum estimates are presented for oblique incidence testing, and these demonstrate the capability of the approach to handle variations in transducer type (planar versus focussed) water path, depth of penetration into the material and angle of interrogation.
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