Presenter Information

Manohar Bashyam, General Electric

Location

Snowmass Village, CO

Start Date

1-1-1995 12:00 AM

Description

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.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

14A

Chapter

Chapter 3: Interpretive Signal Processing and Image Analysis

Section

Signal Processing

Pages

733-739

DOI

10.1007/978-1-4615-1987-4_91

Language

en

File Format

application/pdf

Share

COinS
 
Jan 1st, 12:00 AM

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

Snowmass Village, CO

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.