Utility of Split Spectrum Processing to Improve the Detection of Inclusions in Titanium Alloys

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1995
Authors
Bashyam, Manohar
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Altmetrics
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The objective of this research is to enhance target signals in titanium (Ti 6A1-4V and Ti 17β, referred to as Ti64 and Ti17 respectively) super alloys using signal processing for improved detection of hard-alpha and other inclusions. The overall objective is to generate easy to interpret images such as amplitude B-scans & C-scans by minimizing the clutter due to material noise. During this research we will evaluate the performance of several signal and image processing algorithms, based on the following evaluation criteria - number of detections verses number of false calls, algorithm execution time and robustness of the algorithms. The results of the different digital signal processing (DSP) algorithms will be compared to those of the focused C-scan images to show the advantages.

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