Application of temporal moments and other signal processing algorithms to analysis of ultrasonic signals through melting wax
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Baylor Univ., Waco, TX (United States)
Ultrasonic analysis is being explored as a way to capture events during melting of highly dispersive wax. Typical events include temperature changes in the material, phase transition of the material, surface flows and reformations, and void filling as the material melts. Melt tests are performed with wax to evaluate the usefulness of different signal processing algorithms in capturing event data. Several algorithm paths are being pursued. The first looks at changes in the velocity of the signal through the material. This is only appropriate when the changes from one ultrasonic signal to the next can be represented by a linear relationship, which is not always the case. The second tracks changes in the frequency content of the signal. The third algorithm tracks changes in the temporal moments of a signal over a full test. This method does not require that the changes in the signal be represented by a linear relationship, but attaching changes in the temporal moments to physical events can be difficult. This study describes the algorithm paths applied to experimental data from ultrasonic signals as wax melts and explores different ways to display the results.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1334161
- Report Number(s):
- SAND-2015-8036J; 603917
- Journal Information:
- AIP Conference Proceedings, Vol. 1706; Conference: 42nd Annual Review of Progress in Quantitative Nondestructive Evaluation, Minneapolis, MN (United States), 26-31 Jul 2015; ISSN 0094-243X
- Publisher:
- AIPCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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